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pantera1 [17]
3 years ago
7

A skier is pulled by a tow rope up a frictionless ski slope that makes an angle of 17° with the horizontal. The rope moves paral

lel to the slope with a constant speed of 1.5 m/s. The force of the rope does 950 J of work on the skier as the skier moves a distance of 6.6 m up the incline. (a) If the rope moved with a constant speed of 2.2 m/s, how much work would the force of the rope do on the skier as the skier moved a distance of 6.6 m up the incline? At what rate is the force of the rope doing work on the skier when the rope moves with a speed of (b) 1.5 m/s and (c) 2.2 m/s?
Physics
2 answers:
pishuonlain [190]3 years ago
7 0

Answer:

(a) 950J

(b) 216 W

(c) 316.67 W

Explanation:

(a) If the skier is moving at a constant speed, then his kinetic energy is unchanged. The work done by the rope is the same for speed at 2.2m/s as it is for 1.5m/s. It is 950J

(b) When the speed is 1.5m/s then the time it would take to move up a distance of 6.6 m is 6.6 / 1.5 = 4.4 s

If the work is 950J over 4.4s then the rate of work is 950 / 4.4 = 216 W

(c) When the speed is 2.2 m/s then the time it would take to move up a distance of 6.6 m is 6.6 / 2.2 = 3 s. If the work is 950J over 3s then the rate of work is 950 / 3 = 316.67 W

madam [21]3 years ago
5 0

Answer:

(A) The work is still the same as in the first case since the skier is not accelerating but moving at constant velocity. So the force rope exert is still the same and has a value of 950/6.6 =144N. If the skier accelerated in this case the force would not be the same as above and the work done would be different.

(B) P = W/distance × speed = 950/6.6 × 1.5 = 216W

(C) P = W/distance × speed = 317W

Explanation:

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The gut microbiota has recently emerged as an important, and previously unappreciated, player in host physiology (1). In particular, the gut microbiota contributes to a variety of physiological and pathophysiological processes in the host including immune disorders (2–4), atherosclerosis (5), irritable bowel syndrome (6, 7), blood pressure regulation (8), and chronic kidney disease (9, 10). Bacteria residing in the human gut are an important component of human physiology: the total wet weight of gut microbes in the human has been estimated to be 175 g–1.5 kg (11, 12), and the cells of the microbiota outnumber human cells by 10:1 (1). These bacteria interact with the immune system of the host (13), and secrete a variety of metabolites, which enter host circulation and can affect a variety of physiological parameters (8, 14), reviewed in Ref. (15). In fact, metabolites produced by the gut microbiota have been found to play key roles in renal disease (16), blood pressure regulation (8), and immune disorders (2–4). Therefore, just as we consider the genetic background of an animal or an individual to be an important contributing factor to their physiology, so too must we consider the genetic background of the microbiota associated with that animal.

Gut microbiota vary greatly amongst laboratory animals, and these differences result in notable differences in experimental results. Mice of the same strain from different vendors have different microbiota profiles (17), and similarly, the same mice housed at different institutions have different microbiota profiles (18, 19). Conversely, inoculating two different inbred mouse strains with the same gut bacteria leads to differences in host gene expression between the two mouse strains (20). Clearly, there is a complex interplay between the genetics of the microbiota and that of the host organism, which has only recently begun to be appreciated.

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Examples in the literature have highlighted the important and unexpected ways in which gut microbiota can affect a variety of experimental parameters. In a series of studies, Vijay-Kumar et al. (13, 21) reported that although TLR5 null animals initially had a colitis phenotype, when these mice were “rederived” and their gut microbiota altered, the colitis phenotype was greatly attenuated, and instead the null animals exhibited metabolic syndrome. In addition, Lathrop et al. put forward a model by which T-cells are educated not only by self/non-self mechanisms, but also by microbiota-derived “non-self” antigens (22). Accordingly, they found that the presence or absence of microbiota determined whether T cells would induce colitis in mice. Finally, Yang et al. reported that when the same knockout mice were housed at two different institutions, they had markedly different microbiota profiles – and the mice at one institution (MIT) were quite susceptible to colitis, whereas mice at the other institution (MHH) failed to develop any significant pathology under the same conditions (19). Unequivocally, altering gut microbiota – even by housing animals at different institutions – can have dramatic effects on the phenotype observed.

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Gut Microbiota and Obesity and Diabetes

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