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No / Although ATP-sensitive potassium (K(ATP)) channel openers, e.g., minoxidil and diazoxide, can induce hair growth, their mechanisms require clarification. Improved drugs are needed clinically. but the absence of a good bioassay hampers research. K(ATP) channels from various tissues contain subtypes of the regulatory sulfonylurea receptor, SUR, and pore-forming, K(+) inward rectifier subunits, Kir6.X, giving differing sensitivities to regulators. Therefore, the in vitro effects of established potassium channel openers and inhibitors (tolbutamide and glibenclamide), plus a novel, selective Kir6.2/SUR1 opener, NNC 55-0118, were assessed on deer hair follicle growth in serum-free median without streptomycin. Minoxidil (0.1-100 microM, p<0.001), NNC 55-0118 (1 mM, p<0.01; 0.1, 10, 100 microM, p<0.001), and diazoxide (10 microM, p<0.01) increased growth. Tolbutamide (1 mM) inhibited growth (p<0.001) and abolished the effect of 10 microM minoxidil, diazoxide and NNC 55-0118; glibenclamide (10 microM) had no effect, but prevented stimulation by 10 microM minoxidil. Phenol red stimulated growth (p<0.001), but channel modulator responses remained unaltered. Thus, deer follicles offer a practical, ethically advantageous in vitro bioassay that reflects clinical responses in vivo. The results indicate direct actions of K(ATP) channel modulators within hair follicles via two types of channels, with SUR 1 and SUR 2, probably SUR2B, sulfonylurea receptors.

Cette thèse a pour objet la lutte pour les droits civiques dans la période qui va de la crise économique de 1929 jusqu'à l’entrée en guerre des États-Unis en 1941, et ce à travers l’examen du rôle joué par la National Association for the Advancement of Colored People (NAACP) d’une part et le parti communiste américain (CPUSA) de l’autre. Si ces deux organisations se firent d’abord concurrence, s’opposèrent même parfois, comme ce fut le cas lors de l’affaire Scottsboro, certains rapprochements s’esquissèrent un peu plus tard, dans la période du Second New Deal, notamment à l’occasion du National Negro Congress, tandis que la syndicalisation des ouvriers noirs devenait possible grâce à la fondation d’une nouvelle confédération syndicale, le Congress of Industrial Organizations (CIO). La NAACP et le PCUS, deux organisations que tout semblait séparer, furent donc amenées à se « rencontrer » autour de la question noire, et à modifier sensiblement certaines habitudes, comportements, ou réflexes. Alors que la NAACP se rapprochait du peuple noir, les militants communistes, en acquérant sur le terrain une expérience concrète, aidèrent le Parti à modérer sa rhétorique révolutionnaire. On pourrait dire aussi que la concurrence entre la NAACP et le PC constitua une sorte de préfiguration du mouvement pour les droits civiques des années cinquante et soixante. / This dissertation deals with the struggle for civil rights in the 1930s – from the economic crisis of 1929 until 1941 – through an examination of the role played by the National Association for the Advancement of Colored People (NAACP) on the one hand and the American Communist Party (CPUSA) on the other. As was evident in the Scottsboro Case, the competition between the two organizations often bordered on antagonism, even confrontation. During the Second New Deal, however, the relationship eased considerably: the National Negro Congress, and the creation of the Congress of Industrial Organizations (CIO) manifested the growing visibility and acceptance of African-American demands for equality and fairness, both were a mover and a consequence of the now possible convergence of the activities of the NAACP and the PCUS. These two organizations, which had seemed so dissimilar, even irreconcilable, now came to meet around the Afro-American problem(s). While the NAACP now sought to move closer to the real-life conditions of the African-American masses, the grassroots experience gathered by committed Communists probably helped the Party and its members to alleviate their revolutionary rhetoric. One might add that the competition between the NAACP and the CP prefigured the civil rights movement of the 1950s and 1960s.

Cette thèse a pour objet la lutte pour les droits civiques dans la période qui va de la crise économique de 1929 jusqu'à l'entrée en guerre des États-Unis en 1941, et ce à travers l'examen du rôle joué par la National Association for the Advancement of Colored People (NAACP) d'une part et le parti communiste américain (CPUSA) de l'autre. Si ces deux organisations se firent d'abord concurrence, s'opposèrent même parfois, comme ce fut le cas lors de l'affaire Scottsboro, certains rapprochements s'esquissèrent un peu plus tard, dans la période du Second New Deal, notamment à l'occasion du National Negro Congress, tandis que la syndicalisation des ouvriers noirs devenait possible grâce à la fondation d'une nouvelle confédération syndicale, le Congress of Industrial Organizations (CIO). La NAACP et le PCUS, deux organisations que tout semblait séparer, furent donc amenées à se " rencontrer " autour de la question noire, et à modifier sensiblement certaines habitudes, comportements, ou réflexes. Alors que la NAACP se rapprochait du peuple noir, les militants communistes, en acquérant sur le terrain une expérience concrète, aidèrent le Parti à modérer sa rhétorique révolutionnaire. On pourrait dire aussi que la concurrence entre la NAACP et le PC constitua une sorte de préfiguration du mouvement pour les droits civiques des années cinquante et soixante.

Sentiment Analysis is an area of Computer Science that deals with the impact a document makes on a user. The very field is further sub-divided into Opinion Mining and Emotion Analysis, the latter of which is the basis for the present work. Work on songs is aimed at building affective interactive applications such as music recommendation engines. Using song lyrics, we are interested in both supervised and unsupervised analyses, each of which has its own pros and cons. For an unsupervised analysis (clustering), we use a standard probabilistic topic model called Latent Dirichlet Allocation (LDA). It mines topics from songs, which are nothing but probability distributions over the vocabulary of words. Some of the topics seem sentiment-based, motivating us to continue with this approach. We evaluate our clusters using a gold dataset collected from an apt website and get positive results. This approach would be useful in the absence of a supervisor dataset. In another part of our work, we argue the inescapable existence of supervision in terms of having to manually analyse the topics returned. Further, we have also used explicit supervision in terms of a training dataset for a classifier to learn sentiment specific classes. This analysis helps reduce dimensionality and improve classification accuracy. We get excellent dimensionality reduction using Support Vector Machines (SVM) for feature selection. For re-classification, we use the Naive Bayes Classifier (NBC) and SVM, both of which perform well. We also use Non-negative Matrix Factorization (NMF) for classification, but observe that the results coincide with those of NBC, with no exceptions. This drives us towards establishing a theoretical equivalence between the two.