Questioning the Aloe Vera Plant and Apple Memristors.

Non-linear electrical properties of a (biological) tissue can be revealed by non-linear electrical measurements, which means that the applied stimulus itself affects the measurement. If resulting voltage-current plots exhibit pinched hysteresis loops, the underlying tissue may be classified as a memristor, a state dependent resistor. The aloe vera plant and apples have been found to be memristors. However, polarization processes on the electrodes are also non-linear and may affect the measurement. Apples and aloe vera conduct electrical current very well and it is likely that the recordings are actually dominated by the polarization impedance of the electrodes. Here, we study the non-linear properties of aloe vera and apples with two different measurement electrode types. Furthermore, we measured also on the extracted liquids from one aloe vera leaf and one apple, leading to similar results. We concluded, unlike previous studies on these subjects, that the memristive properties originate from electrochemical reactions on the electrodes rather than the apples or aloe vera themselves.

Mortality 5 Years After Detoxification and Counseling as Indicated by Psychometric Tests.

Residential detoxification of substance abusers, using medication to alleviate withdrawal symptoms, often fails to ensure further abstention and predict which clients have the greatest risk of morbidity after detoxification. Prolonging the detoxification period with a counseling period has been shown to enhance compliance to counseling. Sixty-one (61) substance abusers (mean age: 31.3 years; 22 women) with a mean length of abuse of 16 years in 1993-1994 were tested using two psychometric tests and then followed up in 1999 according to mortality. Mean value on Antonovsky's Sense of Coherence (SOC) scale was 2.98 and on Hopkins Symptom Checklist (HSCL-24) was 2.06, indicating postdetoxification coping problems and distress. Thirteen (13) abusers died during follow-up. Cox regression of mortality showed increased risk in men, and also an increased risk of dying in the observation period with lower SOC score (p <.01), but not with increasing HSCL-24 score. Logistic regression indicated a 3.6 times higher risk of dying in the observation period if the SOC score was 1 point lower (on a scale range from 1 to 5). An increased mortality in drug addicts leaving the facility with an SOC value below 3.00 after a 4-week detoxification and counseling stay is thus strongly supported by the data. Antonovsky's SOC scale thus seems to be a good indicator of future mortality.