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The influence of four main weather attributes on the content of alpha-acids of the hop cv. Aurora for the period 1994–2019 was studied. By analysing correlation coefficients, specific times of the year when the weather conditions affect the alpha-acid content with the goal of creating a forecasting model in Slovenia were identified. The most significant periods of weather that impacted the alpha-acid contents throughout the growing time of year are recognised as attributes of temperatures (T), rainfall (R) and sunshine (S) calculated from the 25^th to 30^th week (T₂₅₃₀, r = –0.78, P < 0.01; R₂₅₂₉, r = 0.72, P < 0.01 and S₂₅₂₉, r = –0.81, P < 0.01) and attributes of relative humidity (RH) from the 27^th to 32^nd week (RH₂₇₃₂, r = 0.82, P < 0.01). T₂₅₃₀ stands for the amount of active temperatures from June 18 to July 29. Likewise, R₂₅₃₀ matches to the precipitation (in mm or L/m²) during the same time period.

As part of an ongoing study on the prediction of suicide, a replication study was carried out on the Neuropsychiatric Hospital Suicide Potential Scale (NPHSPS), a recently constructed schedule for prediction of potentiality for committed suicide among hospitalized neuropsychiatric patients at the time of release from the hospital. The population consisted of 54 patients who had committed suicide and 50 patients who had not. Overall accuracy of the scale was 81.7 percent, with 95.2 percent accuracy for prediction of the high risk group and 80.0 percent accuracy for prediction of nonsuicidal controls. By computation of posterior probability, the scale is shown to increase accuracy of prediction more than five-fold over use of the base rate (or prior probability) alone, but it is also evident the level of prediction of suicide is still too minimal to permit individual clinical application.

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