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"Lopez, Jennifer"
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Jennifer Lopez fades in ‘Kiss of the Spider Woman’
J-Lo is hyper-polished in the newest revival of Manuel Puig's 1976 novel, but she fails to meet the standard set by Chita Rivera's Tony-winning Broadway run.
Streaming Video
Jennifer Lopez : actress & pop superstar
Profiles the life and career of singer and actress Jennifer Lopez.
Book
Jennifer Lopez poses on Met Gala carpet
Jennifer Lopez posed on the Met Gala carpet on May 6.
Streaming Video
Jennifer Lopez : famous entertainer
Highlights the life and achievements of \"J.Lo\", from her childhood in the Bronx to her successful career as a dancer, singer, and actress.
Book
100% Puerto Rican: Jennifer Lopez, Latinidad, and the Marketing of Authenticity
In 2012, The L'Oreal Group launched a somewhat unorthodox marketing campaign for their \"True Match\" foundation, which included both print advertisements and tv commercials, and originally featured three specific celebrities: Beyoncé Knowles, Jennifer López, and Aimee Mullins. Going beyond the \"different hues\" approach usually promoted by these types of commercials and advertisement, L'Oreal presented consumers with the ethnic background of each celebrity: Beyoncé Knowles was described as African American, Native American, and French; Mullins was characterized as Irish, Austrian, and Italian; and Jennifer López was pronounced 100% Puerto Rican. This essay focuses on Jennifer López's advertisements, as the claim to 100% Puerto Ricanness carries implications for conceptions of both Puerto Rican and Latina identity in the 21st Century U.S. This is especially key when considering the effects of marketed and marketable appeals to racial and ethnic authenticity in the construction of racial and ethnic identity and racial and ethnic labels. [Key words: Jennifer Lopez, ethnicity, representation, advertisement, commercialization, authenticity]
Journal Article
In search of fit or authenticity? A product-type consumer decision in celebrity brand extensions
Purpose
Celebrity-branded products constitute a brand extension growing phenomenon. Authenticity may explain why some of these offerings are successful despite low perceived fit, a traditional measure for brand extension acceptance. The purpose of this paper is to propose and test a framework based on the meaning transfer model that depicts the effects of brand extension authenticity, brand extension fit and idol attachment on the valuation of such offerings. An exploration of both functional and hedonic extensions is provided to control for product-type variables.
Design/methodology/approach
Scenario-based survey data from a general population (n = 646) was collected and analyzed with ordinary least squares regressions.
Findings
Brand extension authenticity is a significant antecedent of brand extension success in both product types, and brand extension fit is the most relevant antecedent only in functional extensions. Idol attachment exerts less influence than fit and authenticity in the functional extension. However, its relevance considerably improves in the hedonic extension.
Originality/value
A better understanding of consumers’ responses to celebrity brand extensions is essential to the branding literature. To the best of the authors’ knowledge, this study is the first to consider brand extension authenticity as a predictor of celebrity brand extension success and advances our knowledge of consumer behavior in relation to celebrities as brands and their products as brand extensions. The conceptual and empirical relevance of brand extension authenticity is demonstrated, highlighting its predictive power when compared with brand extension fit and idol attachment in a celebrity brand extension model, and a boundary condition related to product typology is uncovered.
Journal Article
Intramyocardial Triglycerides among Women with vs. without HIV: Hormonal Correlates and Functional Consequences
Women with HIV (WHIV) on anti-retroviral therapy (ART) are living longer but facing heightened vulnerability to heart failure.
We investigated metabolic/hormonal/immune parameters relating to diastolic dysfunction-a precursor to heart failure-among WHIV without known cardiovascular disease (CVD).
Nineteen ART-treated WHIV and 11 non-HIV-infected women without known CVD enrolled and successfully completed relevant study procedures [cardiac magnetic resonance spectroscopy (MRS) and cardiac MRI]. Groups were matched on age and body mass index. Primary outcome measures included intramyocardial triglyceride content (cardiac MRS) and diastolic function (cardiac MRI). Relationships between intramyocardial triglyceride content and clinical parameters were also assessed.
Among WHIV (vs non-HIV-infected women), intramyocardial triglyceride content was threefold higher [1.2 (0.4, 3.1) vs 0.4 (0.1, 0.5)%, P = 0.01], and diastolic function was reduced (left atrial passive ejection fraction: 27.2 ± 9.6 vs 35.9 ± 6.4%, P = 0.007). There was a strong inverse relationship between intramyocardial triglyceride content and diastolic function (ρ = -0.62, P = 0.004). Among the whole group, intramyocardial triglyceride content did not relate to chronologic age but did increase across the reproductive aging spectrum (P = 0.02). HIV status and reproductive aging status remained independent predictors of intramyocardial triglyceride content after adjusting for relevant cardiometabolic parameters (overall model R2 = 0.56, P = 0.003; HIV status P = 0.01, reproductive aging status P = 0.02).
For asymptomatic WHIV, increased intramyocardial triglyceride content is associated with diastolic dysfunction. Moreover, relationships between intramyocardial triglyceride accumulation and women's reproductive aging are noted.
Journal Article
Televising Talent: Musicality, Meritocracy, and the Aesthetics of Exclusion
Throughout the history of television, American audiences have participated in a tradition of programs that follow a consistent structure: Amateur musicians and entertainers are offered an opportunity to display their talent on stage, competing for audience votes to win first prize and a chance at stardom. This article contributes to a growing literature on the significance of televised talent shows, demonstrating how their remarkable longevity and representational power stems from their configuration as a “format,” the set of guidelines that structure and constrain the content of each broadcast—an aesthetic process grounded in exclusion. Through their formatting, I argue, these programs reify the notion of “talent” at the heart of talent shows, transforming a multidimensional and context-contingent assemblage of musical abilities into a seemingly stable object able to be recognized, rated, and ranked. Musical auditions offer a microcosm of formatting's role as a means of training audiences’ attention. They normalize the practice of eliminating whatever (or whomever) is deemed unworthy—on these programs and in the wider world. Through analyzing examples from Ted Mack and the Original Amateur Hour (1948), The Gong Show (1978), and The Voice (2017), the article demonstrates how beneath the widely discussed content of contestant demographics, judge commentary, or audience voting results, the talent show format serves to obscure the contradictions upon which meritocracy's cruel optimism rests.
Journal Article
Hierarchical Self-Supervised Learning for Knowledge-Aware Recommendation
Knowledge-aware recommendation systems have shown superior performance by connecting user item interaction graph (UIG) with knowledge graph (KG) and enriching semantic connections collected by the corresponding networks. Among the existing methods, self-supervised learning has attracted the most attention for its significant effects in extracting node self-discrimination auxiliary supervision, which can largely improve the recommending rationality. However, existing methods usually employ a single (either node or edge) perspective for representation learning, over-emphasizing the pair-wise topology structure in the graph, thus overlooking the important semantic information among neighborhood-wise connection, limiting the recommendation performance. To solve the problem, we propose Hierarchical self-supervised learning for Knowledge-aware Recommendation (HKRec). The hierarchical property of the method is shown in two perspectives. First, to better reveal the knowledge graph semantic relations, we design a Triple-Graph Masked Autoencoder (T-GMAE) to force the network to estimate the masked node features, node connections, and node degrees. Second, to better align the user-item recommendation knowledge with the common knowledge, we conduct contrastive learning in a hybrid way, i.e., both neighborhood-level and edge-level dropout are adopted in a parallel way to allow more comprehensive information distillation. We conduct an in-depth experimental evaluation on three real-world datasets, comparing our proposed HKRec with state-of-the-art baseline models to demonstrate its effectiveness and superiority. Respectively, Recall@20 and NDCG@20 improved by 2.2% to 24.95% and 3.38% to 22.32% in the Last-FM dataset, by 7.0% to 23.82% and 5.7% to 39.66% in the MIND dataset, and by 1.76% to 34.73% and 1.62% to 35.13% in the Alibaba-iFashion dataset.
Journal Article