Diasporic Security and Jewish Identity

This paper explores the relationship between identity and security through an investigation into Jewish diasporic identity. The paper argues that the convention of treating identity as an objective referent of security is problematic, as the Jewish diaspora experience demonstrates. The paper presents a new way of conceptualizing identity and security by introducing the concept of diasporic security. Diasporic security reflects the geographical experience of being a member of a trans-state community, of having a fluid identity that is shaped by sometimes contradictory discourses emanating from a community that resides both at home and abroad. In introducing the concept of diasporic security, the paper makes use of literature in Diaspora Studies, Security Studies, recent works in contemporary political theory and sociology, and Woody Allen's film, Deconstructing Harry (1997)

Risk of second primary colorectal cancer among colorectal cancer cases: A population-based analysis

Background: Patients with history of colorectal cancer (CRC) are at increased risk for developing a second primary colorectal cancer (SPCRC) as compared to the general population. However, the degree of risk is uncertain. Here, we attempt to quantify the risk, using data from the large population-based California Cancer Registry (CCR). Materials and Methods: We analyzed the CCR data for cases with surgically-treated colon and rectal cancer diagnosed during the period 1990-2005 and followed through up to January 2008. We excluded those patients diagnosed with metastatic disease and those in whom SPCRC was diagnosed within 6 months of the diagnosis of the primary CRC. Standardized incidence ratios (SIR) with 95% confidence intervals (CI) were calculated to evaluate risk as compared to the underlying population after taking into account age, sex, ethnicity, and time at risk. Results: The study cohort consisted of 69809 cases with colon cancer and 34448 with rectal cancer. Among these patients there were 1443 cases of SPCRCs. The SIR for developing SPCRC was higher in colon cancer survivors (SIR=1.4; 95% CI: 1.3 to 1.5) as compared to the underlying population. The incidence of SPCRC was also higher in females (SIR=1.5; 95% CI: 1.3 to 1.6) and Hispanics (SIR=2.0; 95% CI: 1.7 to 2.4) with primary colon cancer. The SIR for developing an SPCRC was higher only among those whose initial tumor was located in the descending colon (SIR=1.6; 95% CI: 1.3 to 2.0) and proximal colon (SIR=1.4; 95% CI: 1.3 to 1.6). Conclusions: Our results confirm that CRC patients, especially females and Hispanics, are at a higher risk of developing SPCRC than the general population. Differential SPCRC risk by colorectal tumor subsite is dependent on gender and ethnicity, underscoring the heterogeneous nature of CRC

Intellectual Property Protection and Technology Transfer: Evidence from US Multinationals

This paper investigates wheter, in what direction, and to what extent one mode of technology transfer is influenced by the strength of intellectual property protection that host nations provide. Using data spanning the period 1977 - 1999, we find little support for the claim that strengthening intellectual property rights will have any sizable effect on the magnitude of overseas R&D investment by (US) multinationals. Any semblance of a positive relationship between these two variables vanishes the moment we introduce country fixed effects and time fixed effects into the regressions. One implication of our resutls is, that ceteris paribus, stronger intellectual property rights in the developing countries pursuant to the TRIPs agreement may not have any significant influence on technology transfer into thes countries via overseas R&D

Plasma protein patterns as comprehensive indicators of health

Proteins are effector molecules that mediate the functions of genes1,2 and modulate comorbidities3,4,5,6,7,8,9,10, behaviors and drug treatments11. They represent an enormous potential resource for personalized, systemic and data-driven diagnosis, prevention, monitoring and treatment. However, the concept of using plasma proteins for individualized health assessment across many health conditions simultaneously has not been tested. Here, we show that plasma protein expression patterns strongly encode for multiple different health states, future disease risks and lifestyle behaviors. We developed and validated protein-phenotype models for 11 different health indicators: liver fat, kidney filtration, percentage body fat, visceral fat mass, lean body mass, cardiopulmonary fitness, physical activity, alcohol consumption, cigarette smoking, diabetes risk and primary cardiovascular event risk. The analyses were prospectively planned, documented and executed at scale on archived samples and clinical data, with a total of ~85 million protein measurements in 16,894 participants. Our proof-of-concept study demonstrates that protein expression patterns reliably encode for many different health issues, and that large-scale protein scanning12,13,14,15,16 coupled with machine learning is viable for the development and future simultaneous delivery of multiple measures of health. We anticipate that, with further validation and the addition of more protein-phenotype models, this approach could enable a single-source, individualized so-called liquid health check