Strong Correlations Range Research Articles

Inter-laboratory comparison of eleven quantitative or digital PCR assays for detection of proviral bovine leukemia virus in blood samples

Bovine leukemia virus (BLV) is the etiological agent of enzootic bovine leukosis and causes a persistent infection that can leave cattle with no symptoms. Many countries have been able to successfully eradicate BLV through improved detection and management methods. However, with the increasing novel molecular detection methods there have been few efforts to standardize these results at global scale. This study aimed to determine the interlaboratory accuracy and agreement of 11 molecular tests in detecting BLV. Each qPCR/ddPCR method varied by target gene, primer design, DNA input and chemistries. DNA samples were extracted from blood of BLV-seropositive cattle and lyophilized to grant a better preservation during shipping to all participants around the globe. Twenty nine out of 44 samples were correctly identified by the 11 labs and all methods exhibited a diagnostic sensitivity between 74 and 100%. Agreement amongst different assays was linked to BLV copy numbers present in samples and the characteristics of each assay (i.e., BLV target sequence). Finally, the mean correlation value for all assays was within the range of strong correlation. This study highlights the importance of continuous need for standardization and harmonization amongst assays and the different participants. The results underscore the need of an international calibrator to estimate the efficiency (standard curve) of the different assays and improve quantitation accuracy. Additionally, this will inform future participants about the variability associated with emerging chemistries, methods, and technologies used to study BLV. Altogether, by improving tests performance worldwide it will positively aid in the eradication efforts.

High-performance simulation of disease outbreaks in growing-finishing pig herds raised by the precision feeding method

Perturbations always affect livestock during the breeding process, including harmful diseases. Researching the impact of disease outbreaks on pig herds is extremely important so that disease control measures can be applied early. However, conducting practical experiments on disease outbreaks is extremely expensive. Precision feeding systems (PFS) for pigs use data on the animal’s own feed intake to calculate the appropriate amount of feed for each individual. This helps increase productivity and product quality while contributing to reducing waste generation in the environment. Daily feed intake (DFI) and cumulative feed intake (CFI) data can be automatically collected and estimated from the PFS, which can help detect or predict disease outbreaks. In this article, we introduce an advanced simulation model of the PFS for pigs and the integration of disease outbreak models into this system. A disease outbreak simulation application within the pig herd raised by the precision feeding method is also developed for running high-performance experimental simulations. The results of the simulation scenarios are analyzed and compared with data from a real-world experiment to assess the accuracy of the application. The correlation coefficient values of DFI in all scenarios fall within the range of 0.25 to 0.5, suggesting almost no correlation between simulated DFI and actual DFI. The overall average correlation coefficient of CFI for all scenarios is 0.764, falling within the strong correlation range. It can be concluded that the simulation accurately represents CFI values compared to reality.

Pengaruh Produk, Harga, Bahan Baku Bagi Penjualan Di PT. Hon Chuan Indonesia Periode 2015-2019

The increasing of plastic industry growth in Indonesia have bump-up potential of plastic pellets requirement as well, which the nature source of plastic pellets itself restricted and limited. Those will impact to plastic pellets import high demand especially for food and beverages area who use them. Strict competition and challenges to the restriction of plastic raw material usage need attention on product, price, raw material, and impact to the sales. The purpose of this study was to describe of product, price, raw material, and impact to sales, analyze the correlation value and the effect among them. This study was conducted use quantitative research method with descriptive approach and survey method. This study conducted in PT. Hon Chuan Indonesia with 118 respondents as representative from their customer data. Based on research result marketing strategy, product, price, raw material, and sales was in approve category descriptively. And it has 1) a fairly strong and strong correlation range between product and price, 2) significant positive partially effect between product, price, and raw material 3) simultaneously effect between product, price, and raw material 4) influence between raw material and sales.

Development of intensity–duration–frequency curves for the Kingdom of Saudi Arabia

ABSTRACTThis paper presents the derivation of the intensity–duration–frequency (IDF) curves for the Kingdom of Saudi Arabia. Such curves were obtained based on rainfall events measured in 28 meteorological stations distributed throughout the Kingdom. For 20–28 years period, 2027 rainfall storms of durations ranging from 10 min to 24 hours were collected and analyzed. Both Institute of Hydrology model (IH-Flood) and Excel-sheet program are used for developing IDF equations for every station. The method of least squares was used to get relationships for the parameters of the IDF formulas. The calculated goodness of fit shows strong correlations range between 0.99 and 0.98 for one of the parameters, and between 0.92 and 0.74 for the other parameters and thence indicating robust IDF formulas for practical use. Regionalization of the IDF parameters for the 13 distinct regions of the Kingdom has been developed. In addition, an average of IDF parameters is made over the Kingdom as a whole to be used in regions of no rainfall records. The resulting IDF curves are usually used for flood estimation in urban/rural watersheds. Using the resulting IDF curves is highly recommended for rigorous, efficient and safe design of hydraulic structures and flood protection works.

New prediction equations for the estimation of maxillary mandibular canine and premolar widths from mandibular incisors and mandibular first permanent molar widths: A digital model study.

ObjectiveThe primary aim of the study was to generate new prediction equations for the estimation of maxillary and mandibular canine and premolar widths based on mandibular incisors and first permanent molar widths.MethodsA total of 2,340 calculations (768 based on the sum of mandibular incisor and first permanent molar widths, and 1,572 based on the maxillary and mandibular canine and premolar widths) were performed, and a digital stereomicroscope was used to derive the the digital models and measurements. Mesiodistal widths of maxillary and mandibular teeth were measured via scanned digital models.ResultsThere was a strong positive correlation between the estimation of maxillary (r = 0.85994, r2 = 0.7395) and mandibular (r = 0.8708, r2 = 0.7582) canine and premolar widths. The intraclass correlation coefficients were statistically significant, and the coefficients were in the strong correlation range, with an average of 0.9. Linear regression analysis was used to establish prediction equations. Prediction equations were developed to estimate maxillary arches based on Y = 15.746 + 0.602 × sum of mandibular incisors and mandibular first permanent molar widths (sum of mandibular incisors [SMI] + molars), Y = 18.224 + 0.540 × (SMI + molars), and Y = 16.186 + 0.586 × (SMI + molars) for both genders, and to estimate mandibular arches the parameters used were Y = 16.391 + 0.564 × (SMI + molars), Y = 14.444 + 0.609 × (SMI + molars), and Y = 19.915 + 0.481 × (SMI + molars).ConclusionsThese formulas will be helpful for orthodontic diagnosis and clinical treatment planning during the mixed dentition stage.

Study on toxicological aspects of crystal-mediated nephrotoxicity induced by FYX-051, a xanthine oxidoreductase inhibitor, in rats

To clarify the toxicological aspects of crystal-mediated nephrotoxicity, we performed analysis concerning the correlation between representative kidney-related parameters and renal histopathology, using the individual data obtained from the 4-week toxicity studies of FYX-051, a xanthine oxidoreductase inhibitor, by oral administration at 1 and 3 mg/kg to Sprague-Dawley (SD) rats and at 3 and 10 mg/kg to F344 rats. In SD rats, the correlation coefficient on histopathology between the right and left kidneys was 0.7826 and remained within a lower range of strong correlation (range: ±0.7 ∼ ±0.9). The correlation coefficient between body-weight gains, urinary volume, osmolarity, serum blood urea nitrogen (BUN), creatinine, and relative kidney weights and renal histopathology was −0.6648, 0.7896, −0.7751, 0.8195, 0.8479, and 0.8969, respectively, showing a strong correlation, except a moderate correlation in body-weight gains (range: ±0.4 ∼ ±0.7). In F344 rats, the correlation coefficient on histopathology between the right and left kidneys was 0.8637, remaining within an upper range of strong correlation. The correlation coefficient between the above parameters and renal histopathology was −0.8175, 0.8616, −0.9045, 0.9010, 0.8991, and 0.9524, respectively, showing an extremely strong correlation in urinary osmolarity, serum BUN, and relative kidney weights (range: ±0.9 ∼ ±1.0). Therefore, the present study suggests that FYX-051-induced nephrotoxicity may occur with more inconsistency in the degree of nephropathy between the right and left kidneys in SD rats than in F344 rats, which would explain the above outcomes.