The Data-Processing Multiverse of Event-Related Potentials (ERPs): A Roadmap for the Optimization and Standardization of ERP Processing and Reduction Pipelines

In studies of event-related brain potentials (ERPs), numerous decisions about data processing are required to extract ERP scores from continuous data. Unfortunately, the systematic impact of these choices on the data quality and psychometric reliability of ERP scores or even ERP scores themselves is virtually unknown, which is a barrier to the standardization of ERPs. The aim of the present study was to optimize processing pipelines for the error-related negativity (ERN) and error positivity (Pe) by considering a multiverse of data processing choices. A multiverse analysis of a data processing pipeline examines the impact of a large set of different reasonable choices to determine the robustness of effects, such as the impact of different decisions on between-trial standard deviations (i.e., data quality) and between-condition differences (i.e., experimental effects). ERN and Pe data from 298 healthy young adults were used to determine the impact of different methodological choices on data quality and experimental effects (correct vs. error trials) at several key stages: highpass filtering, lowpass filtering, ocular artifact correction, reference, baseline adjustment, scoring sensors, and measurement procedure. This multiverse analysis yielded 3,456 ERN scores and 576 Pe scores per person. An optimized pipeline for ERN included a .01 Hz highpass filter, 15 Hz lowpass filter, ICA-based ocular artifact correction, and a region of interest (ROI) approach to scoring. For Pe, the optimized pipeline included a .10 Hz highpass filter, 30 Hz lowpass filter, regression-based ocular artifact correction, a -200 to 0 ms baseline adjustment window, and an ROI approach to scoring. The multiverse approach can be used to optimize pipelines for eventual standardization, which would support efforts toward establishing normative ERP databases. The proposed process of analyzing the data-processing multiverse of ERP scores paves the way for better refinement, identification, and selection of data processing parameters, ultimately improving the precision and utility of ERPs.

Baseline adjustment methodology in a shared water savings contract under serious drought conditions

Baselines are often employed in shared water saving contracts for estimating water savings after some type of intervention by the water service company. An adjustment to the baseline may become necessary under certain conditions. Earlier work has described a number of relatively complex methods for baseline determination and adjustment, but application in regions faced with relatively limited data becomes problematic. If the adjustment were determined before finalising the contractual matters, it would be possible to gather the required data in order to determine the adjustment. However, in cases where no adjustment was fixed prior to the contract, a method is required to determine an adjustment mid-contract based on whatever data are available at the time. This paper presents a methodology for baseline adjustment in an existing shared water savings contract and explains how adjustment could be determined mid-contract, under conditions of limited data. The adjustment compensates for expected reduced water consumption due to external influences induced by serious water restrictions, typically introduced during periods of drought. The fundamental principle underpinning the baseline adjustment methodology presented in this paper involved segregating real water losses from the actual consumption of end-users, preferably by analysing the minimum night flow. In the absence of recorded night flows, an alternative procedure involving the minimum monthly consumption pre- and post-baseline was employed. The baseline adjustment method was subsequently applied in a South African case study, reported on separately. This technique is helpful because adjustments could be determined without adding unnecessary complexity or cost, and provides a means to resolve disputes in cases where unexpected savings occur mid-contract.

Baseline adjustment methodology in a shared water savings contract under serious drought conditions

Baselines are often employed in shared water saving contracts for estimating water savings after some type of intervention by the water service company. An adjustment to the baseline may become necessary under certain conditions. Earlier work has described a number of relatively complex methods for baseline determination and adjustment, but application in regions faced with relatively limited data becomes problematic. If the adjustment were determined before finalising the contractual matters, it would be possible to gather the required data in order to determine the adjustment. However, in cases where no adjustment was fixed prior to the contract, a method is required to determine an adjustment mid-contract based on whatever data are available at the time. This paper presents a methodology for baseline adjustment in an existing shared water savings contract and explains how adjustment could be determined mid-contract, under conditions of limited data. The adjustment compensates for expected reduced water consumption due to external influences induced by serious water restrictions, typically introduced during periods of drought. The fundamental principle underpinning the baseline adjustment methodology presented in this paper involved segregating real water losses from the actual consumption of end-users, preferably by analysing the minimum night flow. In the absence of recorded night flows, an alternative procedure involving the minimum monthly consumption pre- and post-baseline was employed. The baseline adjustment method was subsequently applied in a South African case study, reported on separately. This technique is helpful because adjustments could be determined without adding unnecessary complexity or cost, and provides a means to resolve disputes in cases where unexpected savings occur mid-contract.

Baseline adjustment methodology in a shared water savings contract during severe water restrictions – a case study in the Western Cape, South Africa

A novel method for baseline adjustment in a shared water savings contract under serious drought conditions was presented in a companion paper. The newly developed baseline adjustment method was subsequently applied to a case study, as discussed in this manuscript. The case study involved application of the method to 24 relatively complex sites, spread over the Western Cape Province in South Africa. The sites included, for example, military bases, naval dockyards, an airforce base, prison facilities, large multi-storey blocks of flats and administrative office buildings. Baseline adjustment became essential mid-contract during the serious water restrictions in Cape Town at the time. The restrictions were linked to the ‘Day Zero’ scenario in 2018 when water supply would potentially run out, and resulted in water savings at baseline sites that were ascribed to external factors. The study incorporated a comprehensive review of the approved baseline reports with site visits to 12 of the properties. The baseline adjustment method provided a robust means to obtain adjustments for sites with relatively limited data. The minimum data requirement was a record of monthly water consumption per site. The adjustments varied between 0% and 64% of the original baseline value for the different sites in the study sample. The relatively higher adjustments were linked to sites where outdoor irrigation and pool water use was prevalent during the baseline-setting period, but was banned during the drought. Zero adjustments were found for sites with exceptionally high leakage flows that had subsequently been repaired; leaks dwarfed actual use in these cases. The results for all 24 sites were accepted by the contracting parties as being reasonable and fair.

The Effect of Zinc Lactate added Tablets on Volatile Sulfur-containing Compounds in the Oral Cavity

Background: Oral malodor is defined as breath that is offensive to others and its prevalence is around 35%. Objective: A controlled clinical double-blinded study was conducted to assess the efficacy of sugar-free tablets containing zinc lactate on oral Volatile Sulfur-containing Compounds (VSC) versus placebo tablets. Methods: All participants, who met the inclusion criteria, had to score a level of VSC ≥75 ppb at the basal measurement. Subjects were randomly assigned to one of the groups. The test tablet (0.7g) contained 0.255 mg of zinc lactate; the control tablet was identical but without the active agent. The OralChroma2© device was utilized to evaluate VSC. The levels were recorded at baseline, after sucking two tablets in succession and after 1 hour and 2 hours. Data were analyzed with SPSS and significance was set at α=0.05. Results: 186 subjects completed the trial. The mean reduction from baseline at the end of tablets sucking was, respectively, 43% (p <0.001) in the control and 67% (p <0.001) in the test group, after 1 hour, it was 6% in the control (p=NS) and 25% (p <0.001) in the test group, after 2 hours, it was 3% in the control (p=NS) and 12% (p <0.001) in the test group. The comparison between the two groups after baseline adjustment showed a statistically significant difference for reductions at the end of the sucking period (p <0.001), after 1 hour (p <0.001) and after 2 hours (p <0.05). Conclusion: Tablets containing zinc lactate can statistically reduce the oral VSC levels immediately and for over 2 hours.

Short- and long-term effectiveness of a smartphone application for improving measures of adiposity: A randomised clinical trial – EVIDENT II study

Background: Evidence on the efficacy of smartphone applications (apps) for reducing body weight and other measurements of adiposity sustainably is not conclusive. Objective: To evaluate the effect of adding an app for 3 months to traditional counselling on physical activity (PA) and a heart-healthy diet for the modification of measurements of adiposity at 3 and 12 months after intervention. Methods: This randomised clinical trial included 833 subjects. The counselling and app group (IG) had 415 subjects, while 418 were included in the counselling only group (CG). The primary outcome was adiposity measurements at 3 and 12 months after intervention. The secondary outcome was the effect of the intervention by sex. Intervention: Counselling on a heart-healthy diet and PA was given to both groups. The IG also received training in the use of a smartphone app designed to promote a heart-healthy diet and PA, and this group was given access to this application for 3 months. Outcome measurements included waist circumference (WC), body mass index (BMI) and Clínica Universidad de Navarra – body adiposity estimator (CUN-BAE). Results: In the IG at 12 months, the following decreased: WC −0.72 cm (95% confidence interval [CI]: −2.35 to −0.02) and CUN-BAE −0.35 (95% CI: −0.63 to −0.06). These decreases were only observed in women. After baseline adjustment, the beneficial effect was maintained in the IG compared to the CG at 12 months in terms of WC (−0.67; 95% CI: −0.29 to −0.02) and CUN-BAE (−0.57; 95% CI: −1.10 to −0.04), but only in women. Conclusions: An intervention of nutritional counselling and PA plus the smartphone app with personalised recommendations compared to CG showed beneficial results in terms of reduction of abdominal obesity and the percentage of body fat in women, but not in men.