Background Despite the intent that the Nice Agreement on the International Classification of Goods and Services is to be purely an administrative tool for trademark offices without any legal significance, trademark owners are impacted by disparate classification systems and the denial or loss of trademark rights due to the consideration of classification in the likelihood of confusions analysis by trademark offices and courts.
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While the Greeks used performance potions to increase their abilities, the Mayas used cocoa leaves to increase their abilities. These synthetic versions of the male primary sex hormone, testosterone, are used by bodybuilders and are even popular among regular gym rats to build muscle and increase strength.
These drugs have the ability to increase muscle size, function, and mass as it mimics effects of testosterone in the body.
The use of anabolic androgenic steroids AAS is associated with dramatic and nearly permanent increase in the level of endogenous testosterone production and protein synthesis, resulting in increased lean body mass and strength during training.
Overdosing or abuse of anabolic androgenic steroids can lead to acne, hair loss, increased risk of heart disease, kidney and liver dysfunction, hypertension, and impotence. The use of steroids can be noticed by some signs and symptoms, including increased acne, greater development of the upper body, changes in body build with noticeable muscle growth, rapid weight gain, behavioral, emotional, or psychological changes, increased body and facial hair in girls, enlarged breasts in boys, and smaller breast size in girls.
Size is the key, the more steroids used, the bigger and leaner you get. It is very important to note that steroid-induced increases in testosterone concentrations could result in lowered voice pitch, hirsutism hair growth pattern changes, including facial hairdecreased abdominal fat accumulation, and general virilization, or feminizing effects in men, including gynecomastia.
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Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters).It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition.
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The resulting combination may be used as a linear.