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Identifiability and Privacy in Pluripotent Stem Cell Research
Isasi, R.,Andrews, Peter W.,Baltz, Jay M.,Bredenoord, Annelien L.,Burton, P.,Chiu, I.M.,Hull, S.,Jung, J.W.,Kurtz, A.,Lomax, G.,Ludwig, T.,McDonald, M.,Morris, C.,Ng, H.,Rooke, H.,Sharma, A.,Stacey, G Cell Press 2014 Cell stem cell Vol.14 No.4
Data sharing is an essential element of research; however, recent scientific and social developments have challenged conventional methods for protecting privacy. Here we provide guidance for determining data sharing thresholds for human pluripotent stem cell research aimed at a wide range of stakeholders, including research consortia, biorepositories, policy-makers, and funders.
Kinetic modeling of sorption–desorption cycles for phenol removal with a cyclodextrin polymer
Francisco J. Peñas,Ana Romo,José R. Isasi,María J. San José,Sonia Alvarez 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.75 No.-
This paper examines the long-term application of a cyclodextrin hydrogel sorbent in multiple sorption–desorption cycles. Aqueous phenol was the target pollutant, whilst methanol, ethanol and isopropanolwere chosen as eluents. The experimental results were well described by empirical models: thebreakthrough curves by a two-parameter dose–response equation, and the elution curves by a pulsepeakequation with two independent parameters. The differences in polarity of solvents producedsorbent fragmentation, particularly marked for isopropanol and considerably lower for methanol, andtherefore a progressive increase in mass-transfer coefficients. In addition, a dual approach was developedfrom the proposed breakthrough model to address the mass transport of sorbate within the packed beds. Thefirst one defines an average mass-transfer coefficient as representative for each complete sorptioncycle, whereas a time-profile of this coefficient is deduced in the second method. A sorption capacity of29.6 mg-phenol/g-sorbent was found in the working conditions.
Trifan Gabriela,Gallo Linda C.,Lamar Melissa,Garcia-Bedoya Olga,Perreira Krista M.,Pirzada Amber,Talavera Gregory A.,Smoller Sylvia W.,Isasi Carmen R.,Cai Jianwen,Daviglus Martha L.,Testai Fernando D. 대한뇌졸중학회 2023 Journal of stroke Vol.25 No.3
Background and Purpose Social determinants of health (SDOH) are non-medical factors that may contribute to the development of diseases, with a higher representation in underserved populations. Our objective is to determine the association of unfavorable SDOH with self-reported stroke/transient ischemic attack (TIA) and vascular risk factors (VRFs) among Hispanic/Latino adults living in the US. Methods We used cross-sectional data from the Hispanic Community Health Study/Study of Latinos. SDOH and VRFs were assessed using questionnaires and validated scales and measurements. We investigated the association between the SDOH (individually and as count: ≤1, 2, 3, 4, or ≥5 SDOH), VRFs and stroke/TIA using regression analyses. Results For individuals with stroke/TIA (n=388), the mean age (58.9 years) differed from those without stroke/TIA (n=11,210; 46.8 years; <i>P</i><0.0001). In bivariate analysis, income <$20,000, education less than high school, no health insurance, perceived discrimination, not currently employed, upper tertile for chronic stress, and lower tertiles for social support and language- and social-based acculturation were associated with stroke/TIA and retained further. A higher number of SDOH was directly associated with all individual VRFs investigated, except for at-risk alcohol, and with number of VRFs (β=0.11, 95% confidence interval [CI]=0.09–0.14). In the fully adjusted model, income, discrimination, social support, chronic stress, and employment status were individually associated with stroke/TIA; the odds of stroke/TIA were 2.3 times higher in individuals with 3 SDOH (95% CI 1.6–3.2) and 2.7 times (95% CI 1.9–3.7) for those with ≥5 versus ≤1 SDOH. Conclusion Among Hispanic/Latino adults, a higher number of SDOH is associated with increased odds for stroke/TIA and VRFs. The association remained significant after adjustment for VRFs, suggesting involvement of non-vascular mechanisms.