Effects of Level of Nutrition, Pregnancy and Age on the Composition of the Wool-Free Ingesta-Free Body and Carcass of Sheep

1974 ◽  
Vol 39 (4) ◽  
pp. 687-693 ◽  
Author(s):  
P. V. Rattray ◽  
W. N. Garrett ◽  
N. Hinman ◽  
N. E. East
Keyword(s):  
Free Body

Towards Battery-Free Body Sensor Networks

2020 ◽  
Author(s):  
Sougata Sen ◽  
Sunghoon Ivan Lee ◽  
Robert Jackson ◽  
Rui Wang ◽  
Nabil Alshurafa ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Body Sensor Networks ◽  
Free Body

Infant Obesity, Weight Reduction with Normal Increase in Linear Growth and Fat-free Body Mass

PEDIATRICS ◽  
1992 ◽  
Vol 89 (1) ◽  
pp. 143-145
Author(s):  
JOYCE M. PEIPERT ◽  
VIRGINIA A. STALLINGS ◽  
GERARD T. BERRY ◽  
JULE ANNE D. HENSTENBURG
Keyword(s):  
Weight Loss ◽  
Body Mass ◽  
Weight Maintenance ◽  
Caloric Intake ◽  
Resting Energy Expenditure ◽  
Induce Weight Loss ◽  
Infant Obesity ◽  
Normal Increase ◽  
Free Body ◽  
Treatment Of Obesity

Dietary caloric restriction, as a means to induce weight loss, is seldom used as a treatment of obesity in infancy for fear that permanent stunting of growth may result.1-4 Thus, there is little information on controlled weight loss as the treatment for infant obesity or, more importantly, its effect on growth in length, head circumference, and fat-free body mass during weight loss.5 We present a case of an obese infant who, secondary to a metabolic disorder, required nutritional support both intravenously and by nasogastric tube. During 15 months, the patient's resting energy expenditure (REE) was measured to determine an appropriate caloric intake to promote weight loss and later weight maintenance.

RF Vital Sign Sensing under Free Body Movement

2021 ◽  
Vol 5 (3) ◽  
pp. 1-22
Author(s):  
Jian Gong ◽  
Xinyu Zhang ◽  
Kaixin Lin ◽  
Ju Ren ◽  
Yaoxue Zhang ◽  
...  
Keyword(s):  
Vital Sign ◽  
Estimation Error ◽  
Body Movement ◽  
Vital Signs ◽  
Motion Artifacts ◽  
Body Parts ◽  
Training Scheme ◽  
Pattern Movement ◽  
Free Body ◽  
Average Estimation Error

Radio frequency (RF) sensors such as radar are instrumental for continuous, contactless sensing of vital signs, especially heart rate (HR) and respiration rate (RR). However, decades of related research mainly focused on static subjects, because the motion artifacts from other body parts may easily overwhelm the weak reflections from vital signs. This paper marks a first step in enabling RF vital sign sensing under ambulant daily living conditions. Our solution is inspired by existing physiological research that revealed the correlation between vital signs and body movement. Specifically, we propose to combine direct RF sensing for static instances and indirect vital sign prediction based on movement power estimation. We design customized machine learning models to capture the sophisticated correlation between RF signal pattern, movement power, and vital signs. We further design an instant calibration and adaptive training scheme to enable cross-subjects generalization, without any explicit data labeling from unknown subjects. We prototype and evaluate the framework using a commodity radar sensor. Under a variety of moving conditions, our solution demonstrates an average estimation error of 5.57 bpm for HR and 3.32 bpm for RR across multiple subjects, which largely outperforms state-of-the-art systems.

FAT AND FAT-FREE BODY COMPOSITION ESTIMATES BY TWO-, THREE- AND FOUR-COMPONENT MODELS IN 20???70 YEAR OID ADULTS

1992 ◽  
Vol 24 (Supplement) ◽  
pp. S109
Author(s):  
R. A. Boileau ◽  
M. H. Slaughter ◽  
R. J. Stillman ◽  
C. B. Christ ◽  
J. Clasey ◽  
...  
Keyword(s):  
Body Composition ◽  
Free Body ◽  
Component Models

Effects of obesity on insulin sensitivity and responsiveness in sheep

1989 ◽  
Vol 257 (5) ◽  
pp. E772-E781 ◽  
Author(s):  
E. N. Bergman ◽  
S. S. Reulein ◽  
R. E. Corlett
Keyword(s):  
Insulin Sensitivity ◽  
Insulin Receptors ◽  
High Energy ◽  
Response Curves ◽  
Peripheral Tissues ◽  
Glucose Clamp Technique ◽  
Body Weights ◽  
Tissue Sensitivity ◽  
Free Body ◽  
The Right

To assess the mechanisms of insulin resistance in the ruminant, severe and adult-onset obesity was produced in Dorset ewes by overfeeding a high-energy ration over a 1- to 2-yr period. Body weights increased to 100 kg compared with 50 kg in lean control sheep; significant hyperinsulinemia (40 +/- 4 vs 10 +/- 1 microU/ml) also developed as did a moderate hyperglycemia (62 +/- 2 vs. 52 +/- 1 mg/100 ml). Tissue sensitivity and responsiveness to insulin were then determined in both obese and lean sheep by the euglycemic glucose-clamp technique. Insulin was infused at eight different rates from 0.2 to 50 mU.kg-1.min-1 and [6-3H]-glucose was infused for measurement of glucose kinetics. The mean dose-response curves for glucose utilization and clearance rates were displaced to the right in obese compared with lean sheep. As a result, the half-maximally effective insulin concentrations usually were elevated two- to fourfold, indicating decreased insulin sensitivity in obese sheep, and this is consistent with decreased insulin receptors in peripheral tissues. On the basis of fat-free body weight, the maximal glucose responses, however, were not significantly different between obese and lean sheep, indicating that postreceptor defects do not exist in muscle tissue. Furthermore, lean ruminants are more resistant to insulin than are humans, but this resistance seems only because of the sheep's decreased responsiveness to insulin and thus only because of postreceptor insulin effects in peripheral tissues.

Two Basic Features of Instantaneous Conjugate Motion and Their Importance in Facilitating Motion Analysis

2004 ◽  
Vol 126 (1) ◽  
pp. 119-127 ◽  
Author(s):  
Chih-Hsin Chen ◽  
Janet Hong-Jian Chen
Keyword(s):  
Motion Analysis ◽  
Mechanical Systems ◽  
Body Motion ◽  
Geometrical Constraints ◽  
Free Body ◽  
Basic Features

Two basic features of instantaneous conjugate motion, which distinguishes it from instantaneous free body motion, are pointed out. Their influences on the geometrical constraints requisite for surface/line conjugation are discussed. Their importance in facilitating motion analysis of mechanical systems through linearization of relevant equations is clarified. Two illustrative examples are cited.

scholarly journals System Dynamics Model Application for Ergonomic Assessment of Manual Material Handling Tasks

2016 ◽  
Author(s):  
Hossein Abaeian ◽  
Osama Moselhi ◽  
Mohamad Al-Hussein
Keyword(s):  
System Dynamics ◽  
Material Handling ◽  
Dynamic Equilibrium ◽  
Project Managers ◽  
Dynamics Modeling ◽  
Work Related ◽  
Manual Material Handling ◽  
Compressive Loads ◽  
Levels Of Automation ◽  
Free Body

Despite increased levels of automation in manufacturing occupations in recent years, many activities are still performed through human intervention and involve Manual Material Handling (MMH), thus exposing workers to stress due to over-exertion and potential Work-Related Musculoskeletal Disorders (WRMSDs). An early ergonomic and physical demand assessment of work activities is critical to reducing exposure to risk and to maintaining desired levels of productivity. Biomechanics consists of applying concepts of static and dynamic equilibrium to different parts of the human musculoskeletal system using free-body diagrams to estimate muscle force and loads generated across the joints and tissues. System dynamics is a powerful tool applied in resolving complex problems with different influencing variables. This technique can help designers and managers to understand, evaluate and simulate the factors causing problems in the system. This paper presents the application of System Dynamics modeling to assess the biomechanical risks associated with manual material handling tasks. The case study presents predicted cumulative biomechanical compressive loads from material handling task and can assist project managers to understand and reduce exposure to ergonomic risks in the workplace.

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