Titlebook: Gender Politics in US College Athletic Departments; The Case of the Univ Lisa A. Kihl,Vicki D. Schull,Sally Shaw Book 2016 The Editor(s) (i

RENAL

,Minnesota’s Merger Syndrome,Stakeholders’ emotional reactions to the merger during the transition stage are outlined in terms of various fears of loss. The political maneuvering by both men’s and women’s stakeholders to secure their status post-merger is discussed including gendered political processes involved in the search for a new athletic director.

集合

We Are Minnesota!,We assess stakeholders’ reflections ten years post-merger including the challenges that they feared and which fears actually occurred. Stakeholders’ reflections about the current merged department and what it represents were analyzed. Last, we report on the department’s current gender-political status.

Prostaglandins

表皮

Mittenwalde, Machnower Weinberg,izations internationally. The social and political pressures that led to their amalgamation (i.e., Title IX in the USA and neoliberal forces internationally) are discussed. Subsequently, an overview of the conceptual framework, tying together the gender, organizational politics, and merger literatur

Expediency

警告

Vital-Signs

Lisa A. Kihl,Vicki D. Schull,Sally ShawProvides an in-depth analysis of the gendered politics behind the merger of the women‘s and men‘s athletic departments at a university.Draws on historical documents, interviews, and media to illustrat

集中營

https://doi.org/10.1007/978-3-319-06419-2teins that do not affect the physiology of the host cell [1–3]. Cell-free translation systems, in contrast, can synthesize proteins with high speed and accuracy, approaching . rates [4–5], and they can express proteins that would interfere with cell physiology. However, they are relatively inefficient because of their instability[6].

Preamble

intricacy

Conference proceedings 2016e; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences;theory and algorithms...?.