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Power walking is also good for your bones. A recent study found an hour per day of moderate-intensity exercise like power walking prevents disability in people who have symptoms of joint problems in their lower extremities.

When a man stares at a woman in public her sensitivities are, at the very least, immaterial to him. He owns the power of the gaze and he will, if he cares to, exercise it. The real mind-fuck is that enfolded into the action is the defense. The woman who complains may well find herself being told she should be flattered, that she is lucky men find her attractive.

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On the streets race and gender intersect, the dominance of men over women, of white over black, of white men over white women, of black men over black women, of Hispanic men over Hispanic women and so forth. Layered upon that is the relationship between men, the sometime competition and sometime complicity between men of all colors, the upholding of male power. This can play out in a variety of ways. For a woman of color, men of the same ethnicity may be ally or foe.

Emmett Till was murdered. Emmett Till did not own the power of the gaze, at least not as far as Carolyn Bryant was concerned. 50-plus years on, white women friends in New York complain of the behavior of some black guys there. They worry about being thought racist if they complain. This is the power play between men, the revenge exacted by certain black men upon white women but in reality upon white men. Payback is the pickup truck bearing a Confederate flag that cruises me twice on a long, lonely run in Western Massachusetts, the white guy with the baseball cap who turns his head and licks his lips on each pass.

Power walking or speed walking is the act of walking with a speed at the upper end of the natural range for the walking gait, typically 7 to 9 km/h (4.5 to 5.5 mph). To qualify as power walking as opposed to jogging or running, at least one foot must be in contact with the ground at all times (see walking for a formal definition).

A 2021 study, where post coronary angioplasty patients were introduced power walking based on their ejection fraction, VO2 max calculation, heart rate monitoring and pedometer counts. Those participants in power walking group benefited significantly on quality of life and various physiological parameters.[9]

We are filled with the same power that raised Jesus from the dead and yet too often we live like we are powerless. God is inviting us to be conduits of His immeasurably great power to affect massive change in the circumstances and lives around us for His glory.

Jesus thank you for sending us your Spirit and infusing us with your resurrection power to flood the Earth with your goodness. Would you remind us again today who you are in us so that our lives can display your incomparable power in every detail and circumstance? Jesus embolden us to walk in the power you purchased for us to defeat strongholds, destroy the works of the Enemy, to call forth life and healing in your people for your glory!

Normal human walking is characterized by economical patterns of movement. Not only do individuals generally choose a walking speed that requires the least energy to travel a given distance(Ralston, 1958), but over the usual range of walking speeds people also choose stride rates that minimize the rate of metabolic energy expenditure(Molen et al., 1972; Zarrugh and Radcliffe, 1978). At a constant walking speed, metabolic rate exhibits a U-shaped dependence on stride rate (Atzler and Herbst,1927; Cotes and Meade,1960; Holt et al.,1991; Minetti et al.,1995; Zarrugh and Radcliffe,1978), with the minimum of the curve typically coincident with the self-selected or preferred stride rate. While the presence of an energetically optimal stride rate is well accepted, the reason that metabolic energy consumption is minimized at the preferred rate remains unclear.

The mechanical work that muscles do in walking presumably incurs a substantial metabolic cost (Donelan et al.,2002; Grabowski and Kram,2005; Neptune et al.,2004; Kuo, 2001),but the cost of performing work is not determined just by the changes in mechanical energy that are produced. Muscles do mechanical work with variable efficiency, which depends on both the load and speed of contraction(Barclay, 1994; Barclay et al., 1993). Since muscle force and speed of contraction can be expected to differ when humans walk using different stride rates, the mechanical efficiency with which muscles do work in walking would be expected to vary as well. There appears to be only one report in the literature of efficiency at different stride rates for walking (Zarrugh, 1981). Power and efficiency were quantified in one subject, and gross mechanical efficiency (defined as positive mechanical power divided by gross metabolic power) was found to be maximized at the preferred stride rate. However, the method used to compute mechanical work, based on summing increments in the segment mechanical energies, resulted in a nearly constant average power across different stride rates. Thus, only the changes in gross metabolic rate were responsible for the computed efficiency response, which provided limited insight regarding variations in mechanical efficiency of the lower limb muscles.

One limitation of the existing literature is that estimates of mechanical work and power have typically been computed from increments in the body center of mass and/or segment mechanical energies (e.g. Cavagna and Franzetti, 1986; Minetti et al., 1995; Zarrugh, 1981). These techniques suffer from various uncertainties in quantifying total mechanical work. These uncertainties arise from issues such as the assumptions regarding exchanges between potential and kinetic energy, to the validity of summing the so-called external work (Wext) and internal work(Wint) to obtain total mechanical work(van Ingen Schenau et al.,1997; Winter,1990; Zatsiorsky,1998). In most of the relevant literature, the term `external work' is used to represent work associated with accelerating the whole-body center of mass, while the term `internal work' is related to work done to accelerate the individual body segments relative to the whole-body center of mass. However, these two `components' of the total work are not necessarily independent (Zatsiorsky et al.,1994; Kautz and Neptune,2002), and the degree to which they overlap in walking is unknown. A better, but more complex, approach is to compute the positive and negative work done by each of the lower limb joint moments. Compared to center of mass or segmental kinetics, joint moments are more closely related to the actual muscular sources and sinks of mechanical energy in locomotion(Winter, 1990). This approach will also automatically account for any external and internal work that is done, without requiring any of the assumptions described above. An important limitation of estimating mechanical power using joint moments, which is shared with the other existing techniques, is that it is not possible to resolve cocontraction of antagonistic muscles. During walking in healthy adults,however, this is not expected to be a major concern(Nilsson et al., 1985). If mechanical work done by joint moments provides a better estimate of mechanical energy generation and absorption by muscles in human walking, it might help resolve the discrepancy between minimization of mechanical and metabolic power described earlier.

At present, our understanding of why the rate of metabolic energy expenditure is minimized at the preferred stride rate in walking is incomplete. The variable requirements for muscles to generate and absorb mechanical energy with changes in stride rate seem a likely determinant of the metabolic cost, but to date these have not been shown to exhibit a strong correspondence with metabolic energy. Since this might be due primarily to methodological issues, one purpose of this study was to re-evaluate how walking with different stride rates at a constant speed affects the mechanical power of walking, using analyses based on the work done by the lower limb joint moments. Previous research has also not adequately characterized the manner in which efficiency varies across stride rates. Therefore, our other purpose was to evaluate how net mechanical efficiency is affected by changes in stride rate, when speed is held constant. We anticipated that mechanical power and net mechanical efficiency would exhibit U-shaped responses to changes in walking stride rate (inverted U-shaped responses for power absorption and mechanical efficiency), with optima located close to the preferred stride rate. Our specific working hypotheses were that mechanical power generation and absorption would be minimized, and net mechanical efficiency would be maximized, at the preferred rate. The bases for the hypotheses were that these are the conditions that would most directly lead to metabolic energy expenditure being minimized at the preferred stride rate. However, we also recognized that other findings could be consistent with metabolic energy being minimized at the preferred stride rate. For example,none of the variables need to be optimized right at the preferred stride rate,as long as the power variables are optimized on one side of the preferred stride rate (e.g. below preferred), while mechanical efficiency is optimized on the other side of the preferred stride rate (e.g. above preferred). Based on the existing literature (Molen et al.,1972; Zarrugh and Radcliffe,1978), preferred and energetically optimal stride rates were not expected to be different.

The overall effects of stride rate on net metabolic rate, positive and negative mechanical power, and net mechanical efficiency were tested using one-way repeated-measures analysis of variance (ANOVA), followed by polynomial contrasts in the event of a significant F value(Keppel, 1991). An additional repeated-measures ANOVA was used to test for differences among the preferred stride rate, and the stride rates minimizing metabolic rate, minimizing positive mechanical power, minimizing the magnitude of negative mechanical power, and maximizing net mechanical efficiency. Pairwise comparisons were made using a false discovery rate procedure(Benjamini and Hochberg, 1995; Curran-Everett and Benos,2004). Due to the exploratory nature of this research, statistical significance was assessed at the P=0.10 level(Curran-Everett and Benos,2004), and correspondingly, 90% confidence intervals (CI) were computed for the preferred stride rate, and the optimal stride rates for metabolic rate, mechanical power, and mechanical efficiency. SPSS version 11.5(SPSS Inc., Chicago, IL, USA) was used for performing statistical analyses. e24fc04721