The article by Academician P. L. Kapitsa published below is devoted to problems of the utmost importance, which have come to be termed "global." The Twenty - fifth Congress of the CPSU pointed to the need to study them scientifically and solve them practically, emphasizing that they touch on the interests of humanity as a whole and will exercise an increasingly marked influence on the lives of every people and on the entire system of international relations. In their social philosophical (...) aspects they have been discussed more than once in the pages of Voprosy filosofii. Discussions of these problems took place at the round tables entitled "Man and His Environment" [See translation in our Fall-Winter 1974 number. — Ed., Soviet Studies in Philosophy], "Social Philosophy Problems of Demography," and "Science and Global Problems of Our Time," and numerous articles have been published in such series as "Science and Social Progress," "The Peace Program and the Dialectics of International Relations" [See translation in our Fall 1975 issue. — Ed., Soviet Studies in Philosophy], and "Man — Society — Nature." The editors of the journal, guided by the directives of the Twenty-fifth Party Congress on the need for further investigation of such global problems of our time, are inclined to continue the discussion of them in the future; another round table devoted to these problems is being planned now. The article by Academician P. L. Kapitsa, it seems to us, will provide fruitful stimuli for discussion at this round table, which will probably be published in several installments. As the author himself emphasizes, certain positions in his article are debatable and require discussion. The journal invites philosophers, demographers, economists, and representatives of the natural sciences to take part in discussions of the problems posed. Certain questions examined in Kapitsa's article are also treated in articles by Howard L. Parsons, A. D. Ado, and Iu. A. Kirshin published in this issue of the journal. (shrink)

The heme‐containing cytochromes P‐450 are a ubiquitous family of monooxygenase isozymes responsible for the oxidative metabolism of a wide variety of endogenous as well as exogenous compounds. Many of the compounds metabolized by this enzyme system are effectively detoxified and converted to derivatives more easily eliminated from the organism. However, some compounds can be activated to reactive species capable of eliciting a cascade of toxic lesions, including cancer. Since its discovery nearly 30 years ago, the cytochrome P‐450 enzyme system has (...) received a great deal of attention, particularly in the areas of their mechanisms of metabolism, range of substrate specificity, the purification and characterization of the multiple isozymes and, more recently, the regulation of expression of specific forms. This review will discuss current notions concerning the expression of at least one cytochrome P‐450 isozyme and future directions that should lead to a more complete understanding of cytochrome P‐450 gene expression in general, particularly as it impacts upon biochemical pharmacology. (shrink)

Whether level 1 predictors should be centered per cluster has received considerable attention in the multilevel literature. While most agree that there is no one preferred approach, it has also been argued that cluster mean centering is desirable when the within-cluster slope and the between-cluster slope are expected to deviate, and the main interest is in the within-cluster slope. However, we show in a series of simulations that if one has a multilevel autoregressive model in which the level 1 predictor (...) is the lagged outcome variable (i.e., the outcome variable at the previous occasion), cluster mean centering will in general lead to a downward bias in the parameter estimate of the within-cluster slope (i.e., the autoregressive relationship). This is particularly relevant if the main question is whether there is on average an autoregressive effect. Nonetheless, we show that if the main interest is in estimating the effect of a level 2 predictor on the autoregressive parameter (i.e., a cross-level interaction), cluster mean centering should be preferred over other forms of centering. Hence, researchers should be clear on what is considered the main goal of their study, and base their choice of centering method on this when using a multilevel autoregressive model. (shrink)