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Prostate Cancer, High Cortisol Levels and Complex Hormonal Interaction
Fabre, Bibiana,Grosman, Halina,Gonzalez, Diego,Machulsky, Nahuel Fernandez,Repetto, Esteban M,Mesch, Viviana,Lopez, Miguel Angel,Mazza, Osvaldo,Berg, Gabriela Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.7
Prostate cancer (PCa) is one of the most common diseases in men. It is important to assess prognostic factors and whether high cortisol levels and complex hormonal interactions could be responsible for PCa development. We evaluated the relationship between cortisol, leptin and estrogens in 141 men, 71 with PCa and the remaining 70 constituting a low risk group (LRG). They were recruited for this study from a total of 2906 middle-aged men (ages 45-70 years) who completed an evaluation for prostatic diseases at the Urology Division, Hospital de Clínicas "$Jos{\acute{e}}$ de San $Mart{\acute{i}}n$", University of Buenos Aires, in May 2009. In this cross sectional study, cortisol, PSA, total-testosterone, free-testosterone, bioavailable testosterone, LH and estradiol were measured in serum. We observed increased cortisol levels in PCa patients as compared to LRG cases (p=0.004,). Leptin and estradiol levels were also higher in PCa patients (p=0.048; p<0.0001, respectively). Logistic regression analysis indicated that serum cortisol (OR: 1.110 (95% CI 1.016-1.213), p=0.022), estradiol (OR: 1.044 (95% CI 1.008-1.081), p=0.016) and leptin (OR: 1.248 (95% CI 1.048-1.487), p=0.013) explained 27% of the variance of dependent variables, even after adjusting for age, smoking, BMI and waist circumference. We found increased cortisol levels in PCa patients as compared to LRG, as well as an altered circulating hormonal profile.
Jerry Jacques,Jé,ré,my Grosman,Anne-Sophie Collard,Yeonju Oh,Amie Kim,Hyeon-Seon Jeong 경인교육대학교 교육연구원 2020 The Journal of Education Vol.3 No.1
Recommendation algorithms play an important role in the current media landscape by fostering interactions between users of digital media platforms and media content. The growing concern with recommendation algorithms raises important questions for media educators who emphasize critical analysis of media content and creative production and are required to develop media education initiatives focused on a critical understanding of digital platforms and their underlying technical infrastructures. What are teenagers’ current perception and experiences of recommendation algorithms? What should be the key issues these initiatives should address, and how should they be addressed? The In the Shoes of an Algorithm project approached these questions through design-based research (DBR). This project led to the creation of a series of pen-and-paper games designed to (1) help teenagers share their daily experiences of recommendation algorithms to identify core issues that should be addressed by media educators and (2) to foster a better understanding of key issues related to recommendation algorithms used by digital media platforms. The project was initiated in Belgium and expanded as an international program, in collaboration with South-Korean researchers and practitioners.
From Rags to Riches: Business Model Innovation Shifts in the Ecosystem of the Chinese Super League
Shuyang Liu,James Skinner,Anna Grosman 글로벌지식마케팅경영학회 2022 Journal of Global Sport Management Vol.7 No.3
The Chinese Super League (CSL) has witnessed unprecedented growth in recent years via evolutions in Chinese football clubs’ business models and the league environment. This paper analyses business model innovation (BMI) in the light of changing ecosystem factors via a case study of the Guangzhou Evergrande Taobao FC. It analyses the types of BMI and finds that BMI constancy and novelty are key to the club’s success. The study identifies policy and investors as the two ecosystem factors with the most significant influence on the club’s BMI. We argue that CSL clubs have unique and under-rated value capture structures, where the value is captured by their investors rather than by the clubs themselves. Being sensitive to the ecosystem is another key factor and we give guidance on how to anticipate ecosystem changes and adjust business models accordingly. This can be generalized to other organizations and industries.