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are too small to be seen without a microscope. On the one hand, microorganisms can be bene cial to humans because of their role in various geochemical cycles, such as the phosphorous cycle, carbon and oxygen cycles, nitrogen cycle, and sulfur cycle; without them, the earth would not be livable for humans. They are also important in various fermented foods, such as wine, cheese, beer, vinegar, bread, and soybean products, and in the production of industrially important acids, solvents, antibiotics, steroids, enzymes, etc. They can even be eaten as foods such as yeasts and single-cell proteins. On the other hand, microorganisms can spoil our food supplies and cause devastating disease in animals and humans; if unchecked, they could even destroy the human race. From the standpoint of the microorganisms, however, they are simply trying to ful ll their biological need to grow and perpetuate themselves via sexual and asexual reproduction. Like humans, they need water, carbohydrates, protein, fat, mineral, vitamins, and the right combinations of gases, temperature, pH, and other conditions in order to grow and multiply and survive. Therefore, there are no good microorganisms or bad microorganisms in nature; we can consider them harmful or bene cial according to how they affect us.

ANALYSIS OF BANK DEPOSIT Total Cash Sales Credit Card Rec d A/R Cash Rec d A/R $2,906.98 7,034.76 2,098.63 $12,040.37

Envisioned mobile multimedia services consume large amount of radio bandwidth, and multicast is a key enabling technology to support simultaneous multimedia transmissions to multiple mobile receivers. This chapter presents an overview of the motivations, requirements, and mechanisms of providing multicast services in future mobile networks. In particular, this chapter reviews two promising multicast

marijuana use when the total sample was analyzed, and a positive relationship between participation in school-sponsored football or swimming and marijuana use (Moore & Werch, 2005) Therefore, although most results seem to indicate that youth sport participation serves as a protective factor against recreational drug use, this may not be the case for individuals across all types of sports Recreational Drug Use and Other Athletes No known studies have assessed for recreational drug use prevalence rates among Olympic-caliber athletes, and only one known study (Malone, 1991, as cited in Stainback, 1997) queried males in a professional sport league This study found very low rates of recreational drug use, including marijuana, hashish, and cocaine, and that these rates were much lower than age-matched males in the general population Another study (Peretti-Watel et al.

, 2003) found that marijuana use among French athletes participating in regional training centers was lower than comparable population norms, providing additional support for the notion that elite athletes may report less drug use than the general population Further, because most professional sport leagues and international amateur organizations routinely test for a variety of drugs, one can speculate that recreational drug use will be limited among athletes competing at that level Nonetheless, the lack of detailed information regarding drug use among these types of athletes remains a void in the literature Explaining Less Recreational Drug Use among Athletes Because studies that examine athlete-nonathlete differences indicate that athletes seem to be less likely to use recreational drugs than nonathletes, it is possible that participating in sports may serve as a type of protective factor against heavy recreational drug use.

We presume that athletes will be subject to the same risk factors that predict drug use in the general population and generally use recreational drugs for similar purposes as nonathletes (enjoying a party, tension reduction, feeling high; eg, Simmons, Correia, Carey, & Borsari, 1998) It is certainly possible that some athletes use recreational drugs as a means of coping with sport-specific stress, or that the social status afforded some athletes (Tricker et al, 1989) provides more opportunities for recreational drug use Nonetheless, because the prevalence data indicate that athletes are not a particularly at-risk group for heavy recreational drug use, it is unlikely that sport-related factors contribute to recreational drug use among athletes in general In fact, it is.

39 C Perez-vega, Simple approach to a statistical path loss model for indoor communications, in Proc 27th European Conference and Exhibition: Bridging the Gap between Industry and Academia, 1997, pp 617 623 40 P T Kuruganti and J Nutaro, A comparative study of wireless propagation simulation methodologies: Ray tracing, FDTD, and event based TLM, in Proc Huntsville Simulation Conference, Huntsville, Alabama, Oct 2006 41 J Nutaro, A discrete event method for wave simulation, ACM Trans Modeling Computer Simulation 16(2), 174 195 (2006) 42 R Hsieh and A Seneviratne, A comparison of mechanisms for improving Mobile IP handoff latency for end-to-end TCP, in Proc ACM MOBICOM 2003, San Diego, CA, 2003, pp 29 41 43 I Howitt and V Mitter, Analytical tools for evaluating coexistence in UL band, 80215 TG2, IEEE, New York, 2001 44 V Mitter, I Howitt, and J.