Download One Player Sleep
Deidra Mehis
I started a small server with just a few friends. Typically if someone doesn't have a bed they just log out so everyone can sleep. Of course we could git gud, but in the meantime I'd rather have players having fun than logging every 10 minutes.
Is there something that can be done that is compatible with the scaling health mod for the player(s) that sleeps? I'm comfortable with commands, and experimented with someone sleeping, setting the time to right before dawn, but they do not regen health.
Any pointers or insight would be helpful, Thanks!
Alright, so I'm making a map, and I've built a bed using stairs, carpets, etc that is a 2:1 scale of the vanilla bed. I'd like to have it work as an actual bed, with a few differences. My idea is that the player can just jump on top of the bed and be forced into the sleeping screen. I've tried using this command:
I have recently bought a CLIP mp3 player. I am trying to figure out the Sleep power off option. I have used it successfully timing the CLIP to switch off after 60 minutes. However, after switching it off and some hours later switching back on again, it seems to have defaulted to a state in which it has lost the Sleep-power off mode. Does anyone know whether it is meant to default to a state in which neither the Automatic nor the Sleep power off mode is programmed?
The CLIP would win prizes for its user friendly interface. I have had a different branded MP3 player for two years or more and have never really used it because the user interface it seems to me, was designed to prevent anyone actually using it. It has all the features found on the CLIP but behind such a wierd selection menu, very difficult to access. I am an official Wrinklie these days and use the mp3 player for the night hours when I am not sleeping. I find that by listening to something on the CLIP I get back off to sleep. Strangely I find the most effective cure for insomnia are speech broadcasts and especially current affairs stuff with political comment!
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While sleep extension studies have begun to examine the relationship between obtaining extra sleep and cognitive functioning, minimal research has investigated the effects of sleep extension over relatively longer periods of time and on physical performance. Furthermore, little if any research has addressed how sleep extension specifically affects athletic performance, rather than just traditional indices of physical performance measured in the laboratory. To our knowledge, there are no studies to date that document sleep extension and the athletic performance of actively competing athletes.
It is unclear whether this period of sleep extension eliminated all sleep debt. Without utilizing an MSLT, it is very difficult to determine whether objective sleepiness, and thus sleep debt, was completely eliminated. Nonetheless, the length of sleep extension in this study and the findings of decreased ESS scores indicative of reduced levels of daytime sleepiness suggest that subjects substantially reduced their sleep debt. Future studies could possibly utilize longer sleep extension periods. It is possible that at some point athletic indices, reaction time, and mood scores would no longer improve.
As with most sports, an athlete's mental approach is crucial for both training and competition. With an increase in total sleep time, subjects reported an improved self-perception of performance during practices and games. Subject testimonials corroborated these rating scores and suggested a subjective quicker physical recovery, improved weight training and conditioning, and fewer injuries. These findings suggest that obtaining extra sleep likely has beneficial effects on overall well-being and the mental approach to athletics. Further research can examine these findings in more detail.
A common assumption in most sports is that athletes become increasingly tired and fatigued throughout a season. Whether or not this is true, this study, by showing that sleep extension lowers POMS fatigue scores and improves POMS vigor ratings, indicates that these assumed negative mood changes can be avoided. Sleep extension may also contribute to athletic performance by minimizing the assumed cumulative effects of a lengthy season and limiting an athlete's perception of tiredness and fatigue. Additional sleep time improved mood even over the course of a competitive season. These results are consistent with the Kamdar et al. study8 that also noted mood improvements in the POMS fatigue and vigor subscales in undergraduate students following sleep extension for several weeks.
In summary, the traditional focus of both off-season and in-season training has been on daily training, conditioning, weight lifting, nutrition, and coaching. This was likewise the case for this study's subjects who attested they were already at their peak performance prior to starting the study, since they had just completed their pre-season training and were beginning regular season competition. However, after experiencing improvements in physical performance and mood following sleep extension, subjects acknowledged that they had previously misperceived the amount of sleep required to perform at their peak both physically and mentally. Thus, athletes should be better able to obtain their full athletic potential if optimal sleep is integrated into their daily training regimen.
More globally, accounting for differences between team versus individual sports is a critical consideration when examining other sports. For example, due to the heavy dependence on teamwork with others in sports such as basketball and football, it is difficult to clearly identify individual performance and a single player's effect on a game's outcome. Naturally, there are some sports where individual outcomes are fairly independent of teammates' actions and are already recorded by traditional statistics, such as batting average and pitching in baseball and serving percentage in tennis. These sports more readily lend themselves to comparing performance in actual competition. Furthermore, sports that are solely dependent on the individual, such as swimming and track and field, more easily compare individual competition outcomes.
This study was designed with the goal of examining sleep extension and athletic performance in a controlled setting. To this end, only standardized measures performed in practice that are readily repeatable were used to ensure that results were individually based and minimally reliant on a myriad of in-game variables, such as teamwork mentioned above. Other variables that also influence game performance include the opposing team, the subject's specific opponent, playing time, league standings, game situation, and the shot clock. Furthermore, additional factors that complicate interpreting game data include the varying distance of field goal attempts, the small number of shots a subject takes, and the limited number of games compared to practices. Importantly, subjective ratings from games were included, as they are not affected by the aforementioned factors.
Another important feature of this study is that it was conducted during the NCAA season and included an athlete's occasionally variable daily schedule of practices, games, and travel. By monitoring collegiate athletes during an actual competitive season, this study accurately reflects the potential improvements that sleep extension can have on athletic performance despite the inconsistent schedule of collegiate and professional sports. Furthermore, athletes were able to fulfill their typical personal, work, and training activities and obligations while also extending their total sleep time. In so doing, this study shows that extended sleep is realistically obtainable during training and competition.
Due to the travel schedule, subjects frequently had difficulty maintaining a rigid sleep-wake schedule because they did not have complete control over their sleep-wake times. When subjects were unable to reach the nightly sleep goal of 10 h, they were encouraged to nap during the day. Occasionally, actigraphy measurements were limited due to abnormal napping situations where movement was a result of the transportation by bus or plane rather than the subject. On a few rare occasions, such as immediately after a practice, subjects took daytime naps but were not wearing their actigraphy device. This resulted in lower actigraphy sleep time for a limited number of napping periods, and therefore, lower total objective sleep time overall.
In regard to study design, this investigation aimed at beginning to elucidate the impact of sleep extension on athletic performance by examining repeatable measures in practice. This study design was employed because the controlled practice setting allowed for standardized and readily repeatable measures of performance with outcomes that are less attributable to the myriad of in-game variables. Although the goal of the present study was to begin to understand the role of sleep extension and the impact on specific athletic performance measures, there is clear value in investigating in-game performance, which could be examined in a larger future study.
Methods: Twelve (seven females and five males) healthy students on a college varsity tennis team maintained their habitual sleep-wake schedule for a one-week baseline period followed by a one-week sleep extension period. Participants were requested to sleep at least nine hours, including naps, during the sleep extension period. Serving accuracy was assessed when participants were sleep deprived (prior to the sleep extension period) and after the sleep extension period. Levels of daytime sleepiness were monitored via the Epworth Sleepiness Scale and the Stanford Sleepiness Scale, and caffeine consumption was recorded throughout the study.
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