G Suite applications are approved for the following Risk Classifications as defined by the Information Security Office.
The self-completed questionnaire contained items about exposure to the following risk factors: tobacco products, cannabis, alcohol and diet.
Inclusion criteria were age ≥55 years and ≥2 of the following risk factors: coronary disease, heart failure, hypertension, diabetes, sleep apnea.
We controlled for potential effects of the following risk variants that are predicted to intersect with the canonical NF-κB signaling pathway: rs1800693 (TNFrs1229643012296430 (LTBR), rs4810485 (CD40), rs1077667 (TNFSF14), and rs12148050 (Trs12148050
The adapted framework consisted of the following risk domains: 1. Surgeon: risk factors regarding functioning of the surgeon, 2.
We investigated the following risk factors: age, gender, smoking, drinking, obesity, education and frequent intake of acute pain drugs.
Finally, the following risk factors associated with maltreatment and/or abuse were found: arrest (9.5 %), illiteracy (7 %), drug dependence (5 %), psychiatric disorders (5 %), and alcoholism (2.5 %).
Using EIT these lungs can be analysed on a regional basis with respect to the following risk factors: collapse, at risk of becoming atelectatic or overdistension.
We considered the following risk factors: (1) gender, (2) smoking status, (3) history of refractive surgery, (4) use of contact lenses and (5) use of ophthalmic drops.
The following risk factors for the occurrence of kidney toxicity were assessed in all patients: diabetes mellitus (n = 5) and arterial hypertension (n = 12).
We use the following risk function R x t ( i ) | y t + 1 = y t + 1 - h t f t x t ( i ) q, (18).
