Determination of Spearman Correlation Coefficient(r)to Evaluate the Linear Association of Dermal Collagen and Elastic Fibers in the Perspectives of Skin Injury

Background. Difference in scar formation at different sites, in different directions at the same site, but with changes in the elasticity of skin with age, sex, and race or in some pathological conditions, is well known to clinicians. The inappropriate collagen syntheses and delayed or lack of epithelialization are known to induce scar formation with negligible elasticity at the site of damage. Changes in the elasticity of scars may be due to an unequal distribution of dermal collagen (C) and elastic (E) fibers.Materials and Methods. Spearman correlation coefficients (r) of collagen and elastic fibers in horizontal (H) and in vertical (V) directions (variables CV, CH, EV, and EH) were measured from the respective quantitative fraction data in 320 skin samples from 32 human cadavers collected at five selected sites over extremities.Results. Spearman’s correlation analysis revealed the statistically significant (p<0.01) strong positive correlation betweenCHandCVin all the areas, that is, shoulder joint area (r=0.66), wrist (r=0.75), forearm (r=0.75), and thigh (r=0.80), except at the ankle (r=0.26,p=0.14) region. Similarly, positive correlation betweenEHandEVhas been observed at the forearm (r=0.65, moderate) and thigh (r=0.42, low) regions. However, a significant moderate negative correlation was observed betweenCVandEVat the forearm (r=-0.51) and betweenCHandEHat the thigh region (r=-0.65).Conclusion. Significant differences of correlations of collagen and elastic fibers in different directions from different areas of extremities were noted. This may be one of the possible anatomical reasons of scar behavior in different areas and different directions of the same area.

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Collagen and Elastic Fiber Content Correlation Analysis between Horizontal and Vertical Orientations of Skin Samples of Human Body

Dermatology Research and Practice ◽

10.1155/2015/692196 ◽

2015 ◽

Vol 2015 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Naveen Kumar ◽

Pramod Kumar ◽

Satheesha Nayak Badagabettu ◽

Ranjini Kudva ◽

Sudarshan Surendran ◽

...

Keyword(s):

Abdominal Wall ◽

Negative Correlation ◽

Anterior Abdominal Wall ◽

Elastic Fiber ◽

Elastic Fibers ◽

Correlation Pattern ◽

Unequal Distribution ◽

Dermal Collagen ◽

Lateral Chest ◽

Skin Samples

Background. Unequal distribution of dermal collagen and elastic fibers in different orientations of skin is reported to be one of the multifocal causes of scar related complications. Present study is to understand the correlation pattern between collagen in horizontal (CH) and in vertical (CV) directions as well as that of elastic in horizontal (EH) and vertical (EV) directions.Materials and Method. A total of 320 skin samples were collected in two orientations from suprascapular, anterior chest, lateral chest, anterior abdominal wall, and inguinal regions of 32 human cadavers. Spearman correlation coefficient (r) was calculated between the variables (CH,CV,EH, andEV).Results. Significant positive correlation betweenCHandCV, and betweenEHandEVobserved in all 5 areas tested. A negative correlation betweenCVandEVat suprascapular, lateral chest, and inguinal regions and negative correlation betweenCHandEHat anterior chest and anterior abdominal wall have been identified.Conclusion. Knowledge of asymmetric content of dermal collagen and elastic fibers together with the varied strength and degree of association in the given area provides guidelines to the dermatologists and aesthetic surgeons in placing elective incisions in the direction maximally utilizing the anatomical facts for aesthetically pleasing result.

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Relationship amongst ResearchGate altmetric indicators and Scopus bibliometric indicators

New Library World ◽

10.1108/nlw-03-2015-0017 ◽

2015 ◽

Vol 116 (9/10) ◽

pp. 564-577 ◽

Cited By ~ 10

Author(s):

RISHABH SHRIVASTAVA ◽

Preeti Mahajan

Keyword(s):

Sample Size ◽

Correlation Coefficients ◽

Strong Positive Correlation ◽

Bibliometric Indicators ◽

Pearson’S Correlation ◽

Content Type ◽

Positive Correlation ◽

Pearson's Correlation ◽

Different Characteristics ◽

The Relationship

Purpose – The purpose of this paper is twofold. First, the study aims to investigate the relationship between the altmetric indicators from ResearchGate (RG) and the bibliometric indicators from the Scopus database. Second, the study seeks to examine the relationship amongst the RG altmetric indicators themselves. RG is a rich source of altmetric indicators such as Citations, RGScore, Impact Points, Profile Views, Publication Views, etc. Design/methodology/approach – For establishing whether RG metrics showed the same results as the established sources of metrics, Pearson’s correlation coefficients were calculated between the metrics provided by RG and the metrics obtained from Scopus. Pearson’s correlation coefficients were also calculated for the metrics provided by RG. The data were collected by visiting the profile pages of all the members who had an account in RG under the Department of Physics, Panjab University, Chandigarh (India). Findings – The study showed that most of the RG metrics showed strong positive correlation with the Scopus metrics, except for RGScore (RG) and Citations (Scopus), which showed moderate positive correlation. It was also found that the RG metrics showed moderate to strong positive correlation amongst each other. Research limitations/implications – The limitation of this study is that more and more scientists and researchers may join RG in the future, therefore the data may change. The study focuses on the members who had an account in RG under the Department of Physics, Panjab University, Chandigarh (India). Perhaps further studies can be conducted by increasing the sample size and by taking a different sample size having different characteristics. Originality/value – Being an emerging field, not much has been conducted in the area of altmetrics. Very few studies have been conducted on the reach of academic social networks like RG and their validity as sources of altmetric indicators like RGScore, Impact Points, etc. The findings offer insights to the question whether RG can be used as an alternative to traditional sources of bibliometric indicators, especially with reference to a rapidly developing country such as India.

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Intramammary antibiotics in dairy goats : effect of stage of lactation, parity and milk volume on withdrawal periods, and the effect of treatment on milk compositional quality

Onderstepoort Journal of Veterinary Research ◽

10.4102/ojvr.v74i3.127 ◽

2007 ◽

Vol 74 (3) ◽

Cited By ~ 7

Author(s):

J. Karzis ◽

E.F. Donkin ◽

I.M. Petzer

Keyword(s):

Negative Correlation ◽

Milk Fat ◽

Animal Health ◽

Cow Milk ◽

Strong Positive Correlation ◽

Withdrawal Period ◽

Dairy Goats ◽

Positive Correlation ◽

Stage Of Lactation ◽

Moderate Negative Correlation

The length of the antibiotic withdrawal period after intramammary treatment was influenced by the milk yield of dairy goats during this trial. Shorter withdrawal periods were seen in relatively high yielding dairy goats (production above 1.5 ℓ per day) compared to low producers (less than 1.3 ℓ per day). High yielding goats treated with Curaclox LC (Norbrook [Pharmacia AH]) had a withdrawal period of 42 h, while low yielding goats, treated with the same product, had a withdrawal period of 74 h. The recommended withdrawal period for Curaclox LC for use in cattle is 72 h. Relatively high yielding goats treated with Rilexine 200 LC (Logos Agvet [Virbac]) had a significantly shorter withdrawal period (37 h) than that recommended for use in cattle (96 h). Low yielding goats treated with Spectrazol Milking Cow (Schering-Plough Animal Health) had a significantly longer (95 h) withdrawal period than that recommended for use in cattle (60 h). Withdrawal periods were also influenced by stage of lactation and parity. There was a moderate positive correlation between lactation number and withdrawal period, as measured by TRIS (R2 = 0.621), and a moderate negative correlation between stage of lactation and withdrawal period (R2 = -0.669). In Trials 1, 2 and 3 combined there was a moderate negative correlation between withdrawal period and volume (R2 = -0.511) and a strong positive correlation between withdrawal period and lactation number (R2 = 0.720). The differences in percentage milk fat, protein and lactose before, during and after treatment were not statistically significant except in Trial 3 (Curaclox LC and Rilexine 200 LC) where protein and lactose differed significantly. In Trial 2 (Spectrazol Milking Cow) milk fat percentages differed significantly between treatment and control groups as did protein percentages in Trial 3. These differences are however, not biologically meaningful.

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Yield prediction and nitrogen recommendation in maize using normalized difference vegetation index

Agronomy Journal of Nepal ◽

10.3126/ajn.v3i0.9009 ◽

2013 ◽

Vol 3 ◽

pp. 82-88 ◽

Cited By ~ 1

Author(s):

TB Karki

Keyword(s):

Grain Yield ◽

Growth Stage ◽

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Correlation Coefficients ◽

Growth Stages ◽

Strong Positive Correlation ◽

Positive Correlation ◽

Nutrient Levels ◽

Seed Sowing

A study was carried out using three maize genotypes with three levels of nitrogen (30 kg, 60 kg and 120 kg per hectare) during the summer season of 2010 and 2011with the aim of predicting maize (Zea mays L.) yield through the Normalized difference vegetation index (NDVI). The NDVI was recorded at different times throughout the growing season using a Greenseeker™ handheld sensor. Significant effect of genotypes and nutrient levels on the NDVI was observed at different growth stages of maize. There was positive correlation between the NDVI and grain yield. In the first season, the correlation coefficients were 0.90, 0.92, 0.76 and 0.73, respectively at 15, 45, 75 and 110 days after seeding. In the second season, the correlation coefficients were 0.80, 0.92, 0.77 and 0.75 respectively at 15, 45, 75 and 110 days after seeding. The NDVI based N calculator showed that irrespective of genotypes, yield potentials under farmers' levels of nutrient management were almost half of the recommended doses of nitrogen. The amount of N to be top dressed decreased with increased crop duration. Grain yield varied significantly due to season, genotypes and nutrient levels. NDVI was affected due to season, stages of the crop (DAS), genotypes and nutrient levels. Interaction effects were significant for season x genotype, growth stage x genotype, growth stage x nutrient levels, genotype x nutrient levels and genotype x growth stage x nutrient levels. There was a strong positive correlation between NDVI and grain yields of hybrid maize at 15 and 45 DAS, but this correlation declined thereafter. This means that N top-dressed at or after 75 days of seed sowing will not increase grain yield as significantly as N applied earlier in the season. In contrast, topdressed N was producing significant effects on the open pollinated Rampur Composite even after 75 days of seed sowing. Further confirmation of the finding could be useful for top dressing N in the maize crop. Agronomy Journal of Nepal (Agron JN) Vol. 3. 2013, Page 82-88 DOI: http://dx.doi.org/10.3126/ajn.v3i0.9009

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The Impact of Groundwater Variability on Mangrove Greenness in Karimunjawa National Park based on Remote Sensing Study

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/925/1/012064 ◽

2021 ◽

Vol 925 (1) ◽

pp. 012064

Author(s):

J Prihantono ◽

N S Adi ◽

T Nakamura ◽

K Nadaoka

Keyword(s):

Soil Moisture ◽

Water Table ◽

National Park ◽

Correlation Coefficients ◽

Rainfall Data ◽

Strong Positive Correlation ◽

Positive Correlation ◽

Monthly Average ◽

The Impact ◽

Sentinel 2

Abstract This study aims to understand the impact of groundwater table on soil moisture and mangrove greenness in different seasons in Karimunjawa National Park (KNP). We used Sentinel-2 L2A satellite imagery, Global Precipitation Measurement (GPM) satellite rainfall data, and water table observations at KNP. This study estimates Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) on time series Sentinel-2 imagery in 2019-2020 using Google Earth Engine. In addition, we compared the monthly average rainfall data, the monthly average water table data, and the monthly average NDVI, NDWI data extracted at the water table observation points. NDVI is a method to estimate mangrove greenness, and NDWI to estimate soil moisture. The obtained results indicate that NDVI and NDWI in the near shoreline area show a higher value than in the middle area of the KNP that is far from the shoreline. In addition, the value of the NDVI and NDWI correlation coefficients is 0.94, which indicates a positive and strong correlation. Moreover, The NDWI and water table correlation coefficients are 0.79, which indicates a relatively strong positive correlation. Furthermore, the correlation between rainfall and the water table is 0.61, which indicates a relatively strong positive correlation. Thus, these findings show that the water table influences soil moisture and then affects the mangrove greenness. Besides that, the water table change is governed by rainfall, and therefore, the mangrove greenness in KNP depends on seasons and is vulnerable to drought.

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Comment Topic Evolution on a Cancer Institution’s Facebook Page

Applied Clinical Informatics ◽

10.4338/aci-2017-04-ra-0055 ◽

2017 ◽

Vol 08 (03) ◽

pp. 854-865 ◽

Cited By ~ 2

Author(s):

Li Zhou ◽

Joseph Plasek ◽

Ronen Rozenblum ◽

David Bates ◽

Chunlei Tang

Keyword(s):

Social Media ◽

Latent Dirichlet Allocation ◽

Pearson Correlation ◽

Family Members ◽

Correlation Coefficients ◽

Free Text ◽

Strong Positive Correlation ◽

Allocation Model ◽

Positive Correlation ◽

Topic Evolution

SummaryObjectives: Our goal was to identify and track the evolution of the topics discussed in free-text comments on a cancer institution’s social media page.Methods: We utilized the Latent Dirichlet Allocation model to extract ten topics from free-text comments on a cancer research institution’s Facebook™ page between January 1, 2009, and June 30, 2014. We calculated Pearson correlation coefficients between the comment categories to demonstrate topic intensity evolution.Results: A total of 4,335 comments were included in this study, from which ten topics were identified: greetings (17.3%), comments about the cancer institution (16.7%), blessings (10.9%), time (10.7%), treatment (9.3%), expressions of optimism (7.9%), tumor (7.5%), father figure (6.3%), and other family members & friends (8.2%), leaving 5.1% of comments unclassified. The comment distributions reveal an overall increasing trend during the study period. We discovered a strong positive correlation between greetings and other family members & friends (r=0.88; p<0.001), a positive correlation between blessings and the cancer institution (r=0.65; p<0.05), and a negative correlation between blessings and greetings (r=–0.70; p<0.05).Conclusions: A cancer institution’s social media platform can provide emotional support to patients and family members. Topic analysis may help institutions better identify and support the needs (emotional, instrumental, and social) of their community and influence their social media strategy.Citation: Tang C, Zhou L, Plasek J, Rozenblum R, Bates D. Comment Topic Evolution on a Cancer Institution’s Facebook Page. Appl Clin Inform 2017; 8: 854–865 https://doi.org/10.4338/ACI-2017-04-RA-0055

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How Competitive is the Canadian Diagnostic Radiology Residency Match? Application and Matching Trends from 1991-2014

Canadian Association of Radiologists Journal ◽

10.1016/j.carj.2015.09.004 ◽

2016 ◽

Vol 67 (2) ◽

pp. 105-111 ◽

Cited By ~ 7

Author(s):

Stephanie A. Kenny ◽

Kaisra Esmail ◽

Rebecca M. Hibbert ◽

Matthew D.F. McInnes

Keyword(s):

Correlation Coefficients ◽

Diagnostic Radiology ◽

Strong Positive Correlation ◽

Residency Programs ◽

Positive Correlation ◽

First Choice ◽

Radiology Residency ◽

And Training ◽

Moderate Positive Correlation ◽

Over Time

Purpose The study sought to evaluate application trends in Canadian diagnostic radiology residency programs and to assess the relative competitiveness of radiology as a specialty. Methods The Canadian Residency Matching Service Reports from 1991–2014 for Canadian graduates were used to extract the total residency positions and radiology residency positions, number of applicants to all specialties and to radiology, number of first-choice radiology applicants, number of unmatched radiology positions, and number of positions and applicants to each specialty. Ratios were calculated: radiology positions to applicants and first-choice applicants, first-choice radiology applicants to applicants for all specialties, and training positions to applicants in each specialty. Data trends and correlation coefficients were analysed. Results The number of radiology residency positions offered increased, with strong positive correlation (r = 0.91, P < .001), while the number of applicants increased with only a moderate positive correlation (r = 0.49, P = .03). Radiology was the most competitive in 1997, with a ratio of 0.32 positions/applicant. There was an increase of positions/applicant over time (decreasing competitiveness; r = 0.76, P < .001) but no change in positions/first-choice applicant (r = 0.11, P = .65). The highest percentage of applicants who ranked radiology as their first choice was in 2003 at 6.5% with a decrease in this percentage over time (r = −0.36, P = .13). Radiology is moderately competitive for positions/overall applicants and very competitive for positions/first-choice applicants compared to other specialties. Conclusions The number of radiology residency positions has increased while the number of applicants has not grown commensurately. The match was most competitive in 1997, and decreased in subsequent years. Possible reasons include job market, reimbursement, and work environment.

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71 The relationships of late gestational uterine artery blood flow with calf and placental size

Journal of Animal Science ◽

10.1093/jas/skaa278.089 ◽

2020 ◽

Vol 98 (Supplement_4) ◽

pp. 48-49

Author(s):

Colby A Redifer ◽

Allison M Meyer

Keyword(s):

Blood Flow ◽

Uterine Artery ◽

Color Doppler ◽

Correlation Coefficients ◽

Strong Positive Correlation ◽

Artery Blood Flow ◽

Positive Correlation ◽

Uterine Arteries ◽

Positive Correlations ◽

Moderate Positive Correlation

Abstract Utilizing crossbred fall-calving beef females over 2 years, relationships of uterine artery blood flow (UBF) with cow BW, calf birth BW, and placental characteristics were investigated. Transrectal color Doppler ultrasonography of both uterine arteries was conducted, and scans were grouped into 80, 60, 40, and 20 ± 5 d prior to calving (DPC; n = 28, 38, 36, and 24, respectively). Placentas were dissected post-expulsion (n = 21, 26, 26, and 19, respectively). Correlation coefficients were determined for UBF with BW and placental measures at each timepoint. Total UBF had a moderate positive (80, 40, and 20 DPC, P ≤ 0.009) or weak positive correlation (60 DPC, P = 0.02) with calf BW. Calf BW had a moderate positive correlation (P ≤ 0.04) with contralateral UBF (80, 60, and 40 DPC). Cow BW was not correlated (P ≥ 0.07) with UBF. Total and contralateral UBF had moderate positive correlations (P ≤ 0.03) with cotyledonary, intercotyledonary and total placental weights at 40 DPC and with intercotyledonary weight at 20 DPC. Contralateral UBF had a moderate positive correlation (P = 0.03) with total placental weight at 20 DPC. Ipsilateral UBF had no relationship (P ≥ 0.06) with calf or placental weights. Cotyledon number had a moderate negative correlation (P = 0.02) with ipsilateral UBF at 20 DPC, but a moderate (60 and 80 DPC) or strong (20 and 40 DPC) positive correlation (P ≤ 0.05) with contralateral UBF. Average cotyledonary size had a moderate positive correlation (P = 0.01) with total UBF at 20 DPC. Ipsilateral UBF had a moderate (80 and 40 DPC, P ≤ 0.04) or strong positive correlation (20 DPC, P = 0.003) with average cotyledonary size. These data suggest that late gestational UBF drives fetal and placental growth. Interestingly, contralateral UBF may have a disproportionately greater contribution.

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The Strong Positive Correlation between Factor VII Clotting Activity Using Bovine Thromboplastin and the Activated Factor VII Level

Thrombosis and Haemostasis ◽

10.1055/s-0038-1653792 ◽

1995 ◽

Vol 73 (03) ◽

pp. 429-434 ◽

Cited By ~ 19

Author(s):

Kazuomi Kario ◽

Takefumi Matsuo ◽

Reiko Asada ◽

Toshiyuki Sakata ◽

Hisao Kato ◽

...

Keyword(s):

Risk Factor ◽

Bovine Brain ◽

Factor Vii ◽

Rabbit Brain ◽

Strong Positive Correlation ◽

Chromogenic Substrate ◽

Moderate Correlation ◽

Positive Correlation ◽

Activated Factor Vii

SummaryWe compared factor VII clotting activity (FVIIc) assays using different thromboplastins to determine which is the most sensitive for activated FVII (FVIIa) or for FVII antigen (FVIIag). FVIIc levels were measured using thromboplastins derived from bovine brain (FVIIc Bov), human placenta (FVIIc Hum), and rabbit brain (FVIIc Rab). FVIIa levels were measured by fluorogenic assays using human soluble tissue factor (rsTF) or bovine rsTF. We also measured FVII activity by an amidolytic assay (FVIIc:am Hum) using human thromboplastin and a chromogenic substrate for thrombin. FVIIag levels were determined by ELISA. In the FVIIa assay, the reaction time obtained from using bovine rsTF was shorter than that with human rsTF, suggesting that the interaction of plasma FVIIa with bovine rsTF was stronger than with human rsTF. The plasma FVIIa levels measured using human rsTF and bovine rsTF were almost the same (r=0.947, p<0.0001). Among the three FVIIc assays, FVIIc Bov had the strongest positive correlation with the plasma FVIIa level (r=0.886, p<0.000l), but had no correlation with FVIIag. An increase of 1 ng/ml in the plasma FVIIa level yielded a 27.9% increase of FVIIc Bov. Plasma FVIIc Hum and FVIIc:am Hum showed moderate correlations with both FVIIa (r=0.520, p<0.02 and r=0.569, p<0.01, respectively) and FVIIag (r=0.438, p<0.05 and r=0.468, p<0.05, respectively). FVIIc Rab had the lowest correlation with FVIIa (r=0.367, p<0.1), but had a moderate correlation with FVIIag (r=0.436, p<0.05). After in vitro cold activation, FVIIc Bov levels increased the most and FVIIc:am levels showed the least change. These findings indicate that consideration of the thromboplastin used for assay is necessary when assessing the clinical significance of FVII activity as a cardiovascular risk factor.

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Impact of Climatic Conditions on the Resveratrol Concentration in Blend of Vitis vinifera L. cvs. Barbera and Croatina Grape Wines

Molecules ◽

10.3390/molecules26020401 ◽

2021 ◽

Vol 26 (2) ◽

pp. 401

Author(s):

Gabriele Rocchetti ◽

Federico Ferrari ◽

Marco Trevisan ◽

Luigi Bavaresco

Keyword(s):

Vitis Vinifera ◽

Correlation Coefficients ◽

Climatic Conditions ◽

Meteorological Conditions ◽

Vitis Vinifera L ◽

Red Wines ◽

Bioclimatic Indices ◽

Positive Correlation ◽

Mean Temperature ◽

Production Areas

The aim of this work was to investigate the effect of meteorological conditions on resveratrol concentration of red wines produced in Piacenza viticultural region (Italy). In this regard, six representative estates producing Colli Piacentini Gutturnio DOC (a blend of V. vinifera L. cvs. Barbera and Croatina) vintage wines were analysed for trans- and cis-resveratrol over an 8-year period (1998–2005). Grapes were taken from the same vineyard in each estate by using the same enological practices over the entire investigated period. The meteorological conditions corresponding to the production areas were recorded, and bioclimatic indices were calculated as well. Overall, cis-resveratrol concentration was negatively correlated to Huglin index and August mean temperature, whilst positive correlation coefficients were found when considering the Selianinov index and the rainfall of September.

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