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Species-speci c avor has traditionally been associated with the lipid portion of meat. It may result from quantitative differences of several compounds (3,5-dimethyl1,2,4,trithiolane, 2,4,6-trimethylperhydro1,3,5-dithiazine, mercaptothiophenes, mercaptofurans; Shahidi et al. 1994). A beeflike aroma compound, 12-methyltridecanal, is an important contributor to species avor (Mottram et al. 1982). It occurs in much smaller amounts in species other than beef. Other species-speci c avor compounds include 2-methyl-3-[methyl]-furan and

CONCLUSION Has the psychology of women and gender signi cantly altered the eld of psychology With regard to psychological knowledge, some see fundamental transformations (e.g., Worell & Johnson, 1997). Others argue that only weakened, nonthreatening versions of feminist ideas have been assimilated into the eld as a whole (e.g., Burman, 1997). We argue that although the alliance between psychology and feminism has been uneasy, feminism has put on the table for psychology a number of provocative problems and challenges. To varying degrees, it has changed the eld with respect to them. Feminist researchers have put forth a strong claim that gender is an important constituent of social life. They have contested certain technologies of research, some key epistemological assumptions, and the ethics of certain research practices. To us, the importance of feminist psychology is not that it can correct the omissions and biases of mainstream psychology and produce objective truths. That is impossible. Rather, feminist psychology can serve to help all psychologists become more self-aware of their perspectives, politics, and practices and to ask how these shape the production of knowledge. Feminists in clinical practice have offered new perspectives on disorders of women and new ideas about the conduct of therapy. They have protested awed diagnostic and treatment practices, ethical breaches, and outmoded theoretical constructs. Sometimes these protests have succeeded in provoking change. Even when they did not succeed, they raised awareness that policies and practices in the mental health eld are not the outcome of a pristine and unassailable

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The commands and the responses are binary, not text. Thus communication is not as simple as connecting to Roomba with a terminal program and typing commands. Determining how to test the connection after a physical interface has been built will be covered in 3. When using the ROI, Roomba exists in one of several modes (or states). These modes represent both how Roomba behaves and how it responds to subsequent ROI commands. Actions by Roomba can also change the mode. Several of the ROI commands are dedicated to selecting the appropriate mode/state because certain commands only work in certain states. The mode change commands are single bytes with no arguments and are invoked by just sending the command byte for the desired mode. Other commands have arguments, like how fast to drive or which vacuum motors to turn on. Those arguments are sent immediately after the command byte as data bytes with a particular format. The format varies among commands and can either be a single byte, a 16-bit value represented as two bytes, several binary values (bits) encapsulated in a single byte, or some combination thereof. One of the challenges of using the ROI is knowing all the data type variations. Only one command causes Roomba to return data, and the block of bytes it returns must also be carved up into bits, bytes, and 16-bit words.

From formula (5.19) it can be realized that the learning gain decreases with the number of samples forming the ith rule (ni ), which is a favorable characteristic in order to converge to optimality in the least-squares sense (section 5.2). If a drift occurs in a data stream, this favorable characteristic is not favorable any longer, as then centers and widths of the cluster(s) should change to the new data distribution. Hence, we propose a successive increase of the learning gain with more samples loaded, whenever a drift starts (here, assuming this for the ith cluster): hi 0:5 ni fac*ni;drift 5:20

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