scholarly journals Studi Karakteristik Sifat Kualitatif Dan Morfometrik Induk Ayam Kampung Dengan Berbagai Tipe Jengger Di Pulau Lombok

2020 ◽  
Vol 5 (2) ◽  
pp. 78
Author(s):  
Lestari Lestari ◽  
Maskur Maskur ◽  
Rahma Jan ◽  
Tapaul Rozi ◽  
Lalu M. Kasip ◽  
...  
Keyword(s):  
Body Weight ◽  
Skin Color ◽  
Pubic Bone ◽  
Morphometric Traits ◽  
Femur Length ◽  
Body Weight Data ◽  
Fur Color ◽  
Tibia Length ◽  
Weight Data

This study aimed to identify the diversity of qualitative and morphometric traits of Kampung chickens based on the comb-types in Lombok Island. Four hundred and seventeen Kampung chickens that are maintained traditionally were used in this study. The method used was a survey. The determination of location was done by purposive sampling, and samples taken were selected by random sampling. Qualitative data included comb-type, fur color, skin color, and foot color. Morphometric data included comb height, shank length, tibia length, femur length, the distance between pubic bones, the distance between the pubic bone and breastbone and body weight. Data were analyzed using simple statistical analysis. The results show that there were 4 (four) types of comb namely walnut comb (36.45 percent), single (30.45 percent), pea (24.46 percent) and rose (8.64 percent). Fur colors found were black, golden, striated and white. White fur color was only found in pea combs. The earlobe colors were red and white. Shank colors were black, white and yellow. The skin colors were yellow and white. The highest morphometrics of Kampung chicken was found in chickens with the type of rose comb which showed comb height of 12.16 + 2.78mm, shank length of 74.26 + 11.62mm, tibia length of 88.47 + 11.87mm, femur length of 82.11 + 12.45mm, distance of two pubic bones of  35.95 + 7.32mm), distance between the pubic bone and breastbone of 54.74 + 9.86mm and body weight of 1658.19 + 339.63gram.

scholarly journals Estimating my equilibrium energy intake during lockdown: very introspective study

BMJ ◽  
2020 ◽  
pp. m4561
Author(s):  
R A Lewis
Keyword(s):  
Body Weight ◽  
Energy Intake ◽  
Outcome Measures ◽  
Dietary Energy ◽  
Saturday Morning ◽  
Dietary Energy Intake ◽  
Body Weight Data ◽  
Tuesday Afternoon ◽  
Weight Data ◽  
At Home

AbstractObjectiveTo estimate the daily dietary energy intake for me to maintain a constant body weight. How hard can it be?DesignVery introspective study.SettingAt home. In lockdown. (Except every Tuesday afternoon and Saturday morning, when I went for a run.)ParticipantsMe. n=1.Main outcome measuresMy weight, measured each day.ResultsSleeping, I shed about a kilogram each night (1.07 (SD 0.25) kg). Running 5 km, I shed about half a kilogram (0.57 (SD 0.15) kg). My daily equilibrium energy intake is about 10 000 kJ (10 286 (SD 201) kJ). Every kJ above (or below) 10 000 kJ adds (or subtracts) about 40 mg (35.4 (SD 3.2) mg).ConclusionsBody weight data show persistent variability, even when the screws of control are tightened and tightened.

scholarly journals Comparison of a soluble co-formulation of insulin degludec/insulin aspart vs biphasic insulin aspart 30 in type 2 diabetes: a randomised trial

2012 ◽  
Vol 167 (3) ◽  
pp. 453 ◽  
Author(s):  
Leo Niskanen ◽  
Lawrence A Leiter ◽  
Edward Franek ◽  
Jianping Weng ◽  
Taner Damci ◽  
...  
Keyword(s):  
Body Weight ◽  
Insulin Aspart ◽  
Randomised Trial ◽  
Baseline Hba1c ◽  
Body Weight Data ◽  
Biphasic Insulin Aspart 30 ◽  
Article Type ◽  
Full Analysis ◽  
Weight Data

The journal and the authors apologise for errors in Table 2 of this article that was published in the August issue (vol 167, pp 287–294). The n values were incorrectly published. The correct values are presented below and the table is published in full below.Table 2Observed mean changes from baseline HbA1c, FPG and body weight. Data are observed as mean (s.d.) for all randomised subjects (full analysis set).nBaselineaWeek 16bChange from baselineHbA1c (%) IDegAsp618.5 (1.2)6.7 (1.0)−1.8 (1.1)c AF598.5 (0.9)6.6 (0.6)−1.9 (1.1)c BIAsp 30628.6 (1.0)6.7 (0.7)−1.8 (0.9)cFPG (mmol/l) IDegAsp6111.5 (2.6)6.4 (2.2)−5.1 (2.9) AF5911.8 (2.9)6.5 (1.9)−5.3 (3.0) BIAsp 306211.7 (3.1)7.5 (2.1)−4.3 (3.0)Body Weight (kg) IDegAsp6187.5 (16.3)88.6 (16.9)1.1 (2.8) AF5984.9 (14.3)85.6 (14.9)0.7 (2.5) BIAsp 306291.8 (13.5)93.2 (13.1)1.4 (3.2)aValues at randomisation.bLast observation carried forward.c% points.

Discussion of Calculation of Power Function with Special Reference to Respiratory Metabolism in Fish

1969 ◽  
Vol 26 (10) ◽  
pp. 2643-2650 ◽  
Author(s):  
Norman R. Glass
Keyword(s):  
Body Weight ◽  
Oxygen Consumption ◽  
Power Function ◽  
Body Weight Data ◽  
Fitting Method ◽  
Wide Range ◽  
Curve Fitting Method ◽  
Parameter Values ◽  
Weight Data ◽  
Range Of Values

The rationale for employing a nonlinear iterative least-squares technique for fitting the well-known power function to oxygen consumption–body weight data is set forth. Twenty-six sets of routine or standard metabolism data from six authors were used to demonstrate the relative merits of two methods of calculating parameter values for the power function. The conclusion was reached that if accuracy in predicting oxygen consumption over a wide range of values of body weight is desired, an iterative curve fitting method may be superior to the much used technique of performing a linear regression on logarithmically transformed data.

Evaluation of Alternative Methods to Analyze Pig Body Weight Data from Animal Sorting Technologies

2009 ◽  
Vol 25 (6) ◽  
pp. 654-662 ◽  
Author(s):  
A.P. Schinckel ◽  
M. Wastell ◽  
M.E. Einstein ◽  
J.T. Hubbs ◽  
P.V. Preckel
Keyword(s):  
Body Weight ◽  
Alternative Methods ◽  
Body Weight Data ◽  
Weight Data

scholarly journals Sifat Kuantitatif Burung Weris (Gallirallus philippensis) Jantan dan Betina

2020 ◽  
Vol 2 (2) ◽  
pp. 54-61
Author(s):  
Fahrijal Moyiu
Keyword(s):  
Body Weight ◽  
Wing Length ◽  
Survey Method ◽  
Field Observations ◽  
Femur Length ◽  
Male And Female ◽  
Finger Length ◽  
Tibia Length ◽  
Average Body ◽  
Quantitative Nature

The purpose of this study was to determine the quantitative nature of male and female Weris (Gallirallus philippensis) in Wonosari District, Boalemo Regency. The study was conducted in August-October 2019. This study used a sample of 20 Weris birds consisting of 10 males and 10 females. The method used is a survey method, through direct observation in the field. Observations on the quantitative nature of Weris birds (Gallirallus philippensis) were carried out directly at the research location. The data obtained were analyzed descriptively. The results showed the average body size of male Weris birds were: body weight 171.9 gr, femur length 5.42 cm, tibia length 6.81 cm, long shank 4.56 cm, third finger length 3.48 cm, maxilla length 3, 14 cm, wing length 11.20 cm, neck bone length 7.07 cm, shank circumference 1.68 cm. Body weight of male weris 171.9 ± 11.06, females 135.90 ± 11.82 with diversity coefficient 6.43 and 8.70

scholarly journals Brain weight predicts yawn duration across domesticated dog breeds

2019 ◽  
Vol 66 (4) ◽  
pp. 401-405
Author(s):  
Andrew C Gallup ◽  
Lea Moscatello ◽  
Jorg J M Massen
Keyword(s):  
Body Weight ◽  
Large Scale ◽  
Brain Temperature ◽  
Single Species ◽  
Brain Weight ◽  
Canis Lupus Familiaris ◽  
Taxonomic Rank ◽  
Body Weight Data ◽  
Final Sample ◽  
Weight Data

Abstract Previous research shows that yawning enhances intracranial circulation and regulates brain temperature. Consistent with these functional outcomes, yawn duration correlates positively with interspecies variation in brain weight across mammals, with robust relationships documented at both the taxonomic rank of class and the more restricted scale of family (e.g., Felidae). This study provides the first investigation into whether differences in brain weight within a single species, domesticated dogs Canis lupus familiaris, can predict intraspecific variation in yawn duration. Measures of yawn duration were obtained from public videos available online and then paired with previously published brain and body weight data of different dog breeds. The final sample consisted of 272 yawns from 198 dogs across 23 breeds. Consistent with recent studies, we find robust correlations between yawn duration and brain weight across breeds. Moreover, these correlations remain significant after controlling for differences in body weight across breeds. These findings replicate and extend upon past work in this area and provide further support that yawns evolved to serve an important and large-scale neurophysiologic function.

scholarly journals Successful Treatment of a Pacemaker Infection with Intraperitoneal Daptomycin

2016 ◽  
Vol 36 (1) ◽  
pp. 114-117 ◽  
Author(s):  
Anne B. Taegtmeyer ◽  
Nina Kononowa ◽  
Dominique Fasel ◽  
Manuel Haschke ◽  
Felix Burkhalter
Keyword(s):  
Body Weight ◽  
Peak Concentration ◽  
Single Case ◽  
Intraperitoneal Administration ◽  
Therapeutic Drug ◽  
Serum Drug Concentration ◽  
Dose Administration ◽  
Pacemaker Infection ◽  
Body Weight Data ◽  
Weight Data

We investigated the pharmacokinetics of intraperitoneal administration of daptomcyin in a peritoneal dialysis (PD) patient treated for a pacemaker infection with Staphylococcus epidermidis. After initial start of intravenous daptomycin at 9 mg/kg body weight every 48 hours, the therapy was switched to intraperitoneal administration of 5.3 mg/kg body weight in 1 L icodextrin 7.5% with a dwell time of 12 hours overnight every 48 hours. Therapeutic drug monitoring (TDM) was performed at 4 hours and 24 hours after dose administration. Due to high peak concentration above target peak concentration, the dose was reduced to a final maintenance dose of 3.2 mg/kg body weight. Data from this single case suggest that serum drug concentration above the minimal inhibitory concentration (MIC) can be easily achieved with intraperitoneal administration of daptomycin every 48 hours even with a lower dose, as recommended for the intravenous administration, but measurement of serum concentration and dose adjustments are mandatory in such cases.

scholarly journals PSV-20 The effect of differing implant strategies on the galanin receptor 2 genotype on feed intake, efficiency, and feeding behavior of crossbred Angus finishing steers

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 159-159
Author(s):  
Jerica R Hall ◽  
Mara Hirchert ◽  
Kasey R Maddock Carlin ◽  
Carl R Dahlen ◽  
Alison K Ward
Keyword(s):  
Body Weight ◽  
Feeding Behavior ◽  
Rfid Tags ◽  
Galanin Receptor ◽  
Future Studies ◽  
Body Weight Data ◽  
Finishing Steers ◽  
Main Effect ◽  
N 93 ◽  
Weight Data

Abstract Abstract: The objective of this study was to determine how the interaction different implant strategies with the galanin receptor 2 (GALR2) would influence intake, efficiency, and feeding behavior of finishing steers along with carcass characteristics. Angus crossbred steers (n = 93) were selected for this study based on their GALR2 genotype (GG, TT, and TG) and weaning weight with 19 GG, 36 TT, and 38 TG. Calves were blocked by initial body weight and fed a standard feedlot ration for 166 d or 202 d. Body weight data and blood samples were collected every 28 d. Steers were randomly assigned to one of two implant strategies; 1) a single Revalor-S (Merk, New Jersey) on d 77, or 2) a Revalor-S with on d 0 and another on d 77. Intake and feeding behavior data were recorded using RFID tags and Insentec feeders (Hokofarm Group, B.V., Marknesse, the Netherlands). Total DMI and feeding behavior were summarized following procedures described by (Swanson et al. 2014). Data were analyzed using the mixed procedure in SAS with a 2 x 3 factorial arrangement of treatments. The interaction of genotype x implant had a significant effect on minutes spent eating/visit (P = 0.02). The main effect of genotype had a significant effect on DMI (P = 0.05), number of meals/day (P 0.0001), and intake/minute (P = 0.002). While there was a greater DMI with the GG genotype we do not see the benefit of improved feed efficiency. The main effect of implant had a significant effect on ADG (P = 0.0008) and intake/visit (P 0.0012). Based on this data we conclude that there is no interaction between GALR2 genotype and implant strategy on efficiency or intake in finishing steers, however there may be benefit to future studies focusing on the GALR2 genotype and intake.

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