The Relationship of the External Surface Area of Birds to Skin Surface Area and Body Mass

1978 ◽  
Vol 76 (1) ◽  
pp. 185-189 ◽  
Author(s):  
GLENN E. WALSBERG
Keyword(s):  
Heat Transfer ◽  
Surface Area ◽  
Body Mass ◽  
External Surface ◽  
Bird Species ◽  
Skin Surface ◽  
External Surface Area ◽  
Relationship Of ◽  
The Relationship

Data from 12 bird species reveal that skin surface area averages 23 % larger than the external surface area of the plumage. Use of skin surface area instead of the area of the external plumage surface may produce large errors in heat-transfer analyses.

Relationship of skin surface area to body mass in the immature rat: a reexamination

1984 ◽  
Vol 56 (1) ◽  
pp. 240-243 ◽  
Author(s):  
D. E. Spiers ◽  
V. Candas
Keyword(s):  
Surface Area ◽  
Body Mass ◽  
Entire Range ◽  
Skin Surface ◽  
Immature Rat ◽  
Impression Material ◽  
Mass Coefficient ◽  
Relationship Of ◽  
Best Fit

Skin surface area (Ab) was measured in the rat beginning at birth mass and extending over a range of body mass (m) from 5.0 to 49.3 g. Area of each animal was determined using an elastic impression material. The best-fit relationship between Ab and m over the entire range of mass was Ab = 6.88m0.736. Results suggest, however, that the standard mass exponent of two-thirds, for estimating Ab of adult animals, could also be used for immature animals weighing 14 g or more. In rats weighing less than 14 g, the mass coefficient of the Meeh-Rubner equation varies with m, indicating that the two-thirds exponent is inappropriate for use with very young animals.

scholarly journals Domain randomization-enhanced deep learning models for bird detection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xin Mao ◽  
Jun Kang Chow ◽  
Pin Siang Tan ◽  
Kuan-fu Liu ◽  
Jimmy Wu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Continuous Monitoring ◽  
Bird Species ◽  
Training Data ◽  
Learning Models ◽  
Fine Grained ◽  
Bird Detection ◽  
Relationship Of ◽  
The Relationship

AbstractAutomatic bird detection in ornithological analyses is limited by the accuracy of existing models, due to the lack of training data and the difficulties in extracting the fine-grained features required to distinguish bird species. Here we apply the domain randomization strategy to enhance the accuracy of the deep learning models in bird detection. Trained with virtual birds of sufficient variations in different environments, the model tends to focus on the fine-grained features of birds and achieves higher accuracies. Based on the 100 terabytes of 2-month continuous monitoring data of egrets, our results cover the findings using conventional manual observations, e.g., vertical stratification of egrets according to body size, and also open up opportunities of long-term bird surveys requiring intensive monitoring that is impractical using conventional methods, e.g., the weather influences on egrets, and the relationship of the migration schedules between the great egrets and little egrets.

The Relationship of Body Mass Index to Outcomes after Percutaneous Coronary Intervention

2006 ◽  
Vol 19 (5) ◽  
pp. 388-395 ◽  
Author(s):  
MAMDOUH M. SHUBAIR ◽  
POORNIMA PRABHAKARAN ◽  
VIKTORIA PAVLOVA ◽  
JAMES L. VELIANOU ◽  
ARYA M. SHARMA ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Percutaneous Coronary Intervention ◽  
Body Mass ◽  
Coronary Intervention ◽  
Percutaneous Coronary ◽  
Relationship Of ◽  
The Relationship

scholarly journals An Exploration of the Relationship of Body Mass Index with Motor Performance Measures and Quality of Life in Children Living in an Urban Setting

2016 ◽  
Vol 01 (04) ◽  
Author(s):  
John Fidler ◽  
Patrick McLaughlin ◽  
Deborah Bubela ◽  
Samantha E Scarneo ◽  
Jennifer McGarry ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Body Mass Index ◽  
Body Mass ◽  
Performance Measures ◽  
Motor Performance ◽  
Urban Setting ◽  
Relationship Of ◽  
The Relationship

scholarly journals The relationship of body mass index to penile length and testicular volume in adolescent boys

2012 ◽  
Vol 52 (5) ◽  
pp. 267
Author(s):  
Rizky Adriansyah ◽  
Muhammad Ali ◽  
Hakimi Hakimi ◽  
Melda Deliana ◽  
Siska Mayasari Lubis
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Junior High School ◽  
Testicular Volume ◽  
Adolescent Boys ◽  
Penile Length ◽  
School Students ◽  
Cross Sectional ◽  
Relationship Of ◽  
The Relationship

Background Evidence suggests that obesity may be related toearly onset of puberty in girls. However, few studies have found alink between body mass index (BMI) and puberty onset in boys.More study is needed to assess the relationship of BMI to penilelength and testicular volume.Objective To investigate the relationship ofBMI to penile lengthand testicular volume in adolescent boys.Methods A cross􀀿sectional study was carried out on adolescentboys aged 9 to 14 years in Secanggang District, Langkat Regency,North Sumatera Province in August 2009. Subjects' BMIs werecalculated by dividing body weight (BW) in kilograms by bodyheight (BH) in meters squared. Penile length (em) was measuredwith a spatula. We took the average of three measurements fromthe symphysis pubis to the tip of the glans penis. Testicular volume(mL) was estimated by palpation using an orchidometer. Pearson'scorrelation test (r) was used to assess the relationship of BMI topenile length and BMI to testicular volume.Resu lts There were 108 participants, consisting of 64primary school students and 44 junior high school students.Subjects' mean age was 11.7 (SO 1.62) years; mean BWwas 35.2 (SO 8.48) kg; mean BH was 1.4 (SO 0.11) m;mean BMI was 17.5 (SO 2.34) kg/m'; mean penile lengthwas 4.5 (SO 1.25) cm; and mean testicular volume was 3.6(SD 1.20) mL. We found no significant association betweenBMI and penile length (r􀀻-0.25, P􀀻0.06), nor betweenBMI and testicular volume (r􀀻-O.21; P􀀻O.09).Conclusion T here was no significant relationship ofBMI to penilelength nor BMI to testicular volume in adolescent boys.[Paediatr lndanes. 2012;52:267-71].

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