Clement, Christen L; Marlowe, Douglas B; Patapis, Nicholas S; Festinger, David S; Forman, Robert F
This study evaluated the degree to which anabolic-androgenic steroids are proffered for sale over the Internet and how they are characterized on popular Web sites. Searches for specific steroid product labels (e.g., Dianabol) between March 2006 and June 2006 revealed that approximately half of the Web sites advocated their "safe" use, and roughly one third offered to sell them without prescriptions. The Web sites frequently presented misinformation about steroids and minimized their dangers. Less than 5% of the Web sites presented accurate health risk information about steroids or provided information to abusers seeking to discontinue their steroid use. Implications for education, prevention, treatment, and policy are discussed.
Full Text Available Increasing numbers of dietary supplements with ecdysteroids are marketed as “natural anabolic agents”. Results of recent studies suggested that their anabolic effect is mediated by estrogen receptor (ER binding. Within this study the anabolic potency of ecdysterone was compared to well characterized anabolic substances. Effects on the fiber sizes of the soleus muscle in rats as well the diameter of C2C12 derived myotubes were used as biological readouts. Ecdysterone exhibited a strong hypertrophic effect on the fiber size of rat soleus muscle that was found even stronger compared to the test compounds metandienone (dianabol, estradienedione (trenbolox, and SARM S 1, all administered in the same dose (5 mg/kg body weight, for 21 days. In C2C12 myotubes ecdysterone (1 μM induced a significant increase of the diameter comparable to dihydrotestosterone (1 μM and IGF 1 (1.3 nM. Molecular docking experiments supported the ERβ mediated action of ecdysterone. To clarify its status in sports, ecdysterone should be considered to be included in the class “S1.2 Other Anabolic Agents” of the list of prohibited substances of the World Anti-Doping Agency.
Rose, Jake; Martin, Michael; Bourlai, Thirimachos
In law enforcement and security applications, the acquisition of face images is critical in producing key trace evidence for the successful identification of potential threats. The goal of the study is to demonstrate that steroid usage significantly affects human facial appearance and hence, the performance of commercial and academic face recognition (FR) algorithms. In this work, we evaluate the performance of state-of-the-art FR algorithms on two unique face image datasets of subjects before (gallery set) and after (probe set) steroid (or human growth hormone) usage. For the purpose of this study, datasets of 73 subjects were created from multiple sources found on the Internet, containing images of men and women before and after steroid usage. Next, we geometrically pre-processed all images of both face datasets. Then, we applied image restoration techniques on the same face datasets, and finally, we applied FR algorithms in order to match the pre-processed face images of our probe datasets against the face images of the gallery set. Experimental results demonstrate that only a specific set of FR algorithms obtain the most accurate results (in terms of the rank-1 identification rate). This is because there are several factors that influence the efficiency of face matchers including (i) the time lapse between the before and after image pre-processing and restoration face photos, (ii) the usage of different drugs (e.g. Dianabol, Winstrol, and Decabolan), (iii) the usage of different cameras to capture face images, and finally, (iv) the variability of standoff distance, illumination and other noise factors (e.g. motion noise). All of the previously mentioned complicated scenarios make clear that cross-scenario matching is a very challenging problem and, thus, further investigation is required.