Exceptional Experiences Following Exposure to a Sham “God Helmet”: Evidence for Placebo, Individual Difference, and Time of Day Influences

2017 ◽  
Vol 39 (1) ◽  
pp. 44-87 ◽  
Author(s):  
Christine Simmonds-Moore ◽  
Donadrian L. Rice ◽  
Chase O’Gwin ◽  
Ron Hopkins
Keyword(s):  
Mixed Model ◽  
Time Of Day ◽  
Neural Stimulation ◽  
Analysis Of Covariance ◽  
Subjective Experiences ◽  
Mixed Model Analysis ◽  
Temporal Lobes ◽  
Coding Scheme ◽  
Paranormal Belief ◽  
Inductive Thematic Analysis

It has been claimed that applying weak complex electromagnetic patterns to the temporal lobes in a “God Helmet” stimulates the intrusion of right-hemispheric processes to awareness, resulting in exceptional experiences (ExEs). We explored the roles of wearing a sham helmet, time of day, and individual differences (paranormal belief, synesthesia, locus of control, hyperesthesia, and prior anomalous experiences) in alterations in consciousness and ExEs in the absence of neural stimulation. Thirty-two skeptics and 35 paranormal believers completed baseline, sham (morning), and sham (afternoon) conditions. Participants relaxed in a Faraday chamber for 30 minutes. Exit interviews explored subjective experiences and participants completed the Phenomenology of Consciousness Inventory (PCI). A mixed-model analysis of covariance found that believers scored higher than skeptics on some PCI dimensions, there was no influence of study conditions on PCI scores, and there was no interaction between belief and study conditions. An inductive thematic analysis identified a coding scheme for ExE. Believers reported more ExEs than skeptics. Regression models supported roles for hyperesthesia in alterations in consciousness and synesthesia in ExEs.

Existence of Mixed Emotions During Consumption of a Sporting Event: A Real-Time Measure Approach

2017 ◽  
Vol 31 (4) ◽  
pp. 360-373 ◽  
Author(s):  
Jun Woo Kim ◽  
Marshall Magnusen ◽  
Hyun-Woo Lee
Keyword(s):  
Real Time ◽  
Mixed Model ◽  
Experimental Studies ◽  
Analysis Of Covariance ◽  
Continuous Measure ◽  
Mixed Emotions ◽  
Mixed Model Analysis ◽  
Consumer Emotions ◽  
Game Outcome ◽  
Sport Consumer Behavior

Investigating the existence of mixed emotions within a sport consumer behavior context is the purpose of this study. Two experimental studies with a 4 (game outcome) × 2 (response format) mixed model analysis of covariance were implemented. The authors tested concurrence of two opposite emotions in Study 1 by asking subjects to complete an online continuous measure of happiness/sadness. Subjects reported more mixed emotions while watching a conflicting game outcome, such as a disappointing win and relieving loss, than during a straight game outcome. In Study 2, real-time-based measures of sport consumer emotions appear to have greater validity than recall-based measures of sport consumer emotions. Subjects with real-time-based measures were less likely to report a straight loss as positive and a straight win as negative than those with the retrospective measure. This study provides evidence of mixed emotions; specifically, happiness and sadness can co-occur during sports consumption.

Analysis of covariance in agronomy and crop research

2011 ◽  
Vol 91 (4) ◽  
pp. 621-641 ◽  
Author(s):  
Rong-Cai Yang ◽  
Patricia Juskiw
Keyword(s):  
Regression Analysis ◽  
Spatial Variation ◽  
Mixed Models ◽  
Mixed Model ◽  
Statistical Technique ◽  
Analysis Of Covariance ◽  
Statistical Software ◽  
Mixed Model Analysis ◽  
Crop Research ◽  
Advanced Topic

Yang, R.-C. and Juskiw, P. 2011. Analysis of covariance in agronomy and crop research. Can. J. Plant Sci. 91: 621–641. Analysis of covariance (ANCOVA) is a statistical technique that combines the methods of the analysis of variance (ANOVA) and regression analysis. However, ANCOVA is an advanced topic that often appears towards the end of many textbooks, and thus, it is either taught cursorily or ignored completely in many statistics classes. Additionally, many elaborated applications of ANCOVA to agronomy and crop research along with uses of the latest statistical software are rarely described in textbooks or classes. The objectives of this paper are to provide an overview on conventional ANCOVA and to introduce more advanced uses of ANCOVA under mixed models. We describe three elaborate applications including (i) the use of ANCOVA for dissecting dosage responses for different treatments, (ii) stability of treatments across multiple environments and (iii) removal of spatial variation that is not effectively controlled by blocking. These analyses illustrate that ANCOVA is either a simpler analysis or provides more information than conventional statistical methods. We provide a technical appendix ( Appendix A ) on principles and theory underlying mixed-model analysis of ANCOVA along with SAS programs ( Appendix B ) for more uses and in-depth understanding of this powerful technique in agronomy and crop research.

Plaque Removal Efficacy of a Prototype Manual Toothbrush versus an ADA Reference Manual Toothbrush with and without Dental Floss

2005 ◽  
Vol 6 (3) ◽  
pp. 1-13 ◽  
Author(s):  
Aaron R. Biesbrock ◽  
Robert D. Bartizek ◽  
Samer A. Bsoul ◽  
Geza T. Terezhalmy
Keyword(s):  
Mixed Model ◽  
Mean Difference ◽  
Analysis Of Covariance ◽  
Plaque Score ◽  
Dental Floss ◽  
Mixed Model Analysis ◽  
Plaque Removal ◽  
Gingival Margin ◽  
Manual Toothbrush ◽  
Reference Manual

Abstract Objective The objective of this study was to compare the plaque removal efficacy of a prototype manual Deep Clean toothbrush versus an American Dental Association (ADA) manual toothbrush and the ADA manual toothbrush in conjunction with floss. Methods This study was a randomized, examiner-blind, six-period cross-over, single-center study conducted in 60 adult subjects that examined plaque removal with a prototype Deep Clean manual toothbrush, an ADA reference manual toothbrush, and an ADA reference manual toothbrush followed by floss. During the course of this study, subjects used each treatment two times. Plaque was scored before and after brushing using the Rustogi Modification of the Navy Plaque Index. A mixed model analysis of covariance (ANCOVA) for a crossover design with baseline plaque score as the covariate was applied to the baseline minus one-minute post-brushing differences in average whole-mouth plaque scores. Supplemental analyses were also performed using the ANCOVA model separately for average gingival margin scores and for average interproximal scores, using the appropriate baseline score as the covariate. All comparisons were two-sided at the 0.05 level of significance. Results The prototype Deep Clean manual toothbrush delivered an adjusted (via ANCOVA) mean difference between baseline and post-brushing plaque scores of 0.245, while the ADA manual toothbrush plus floss delivered an adjusted mean difference of 0.207 versus 0.196 for the ADA manual toothbrush alone. The prototype Deep Clean manual toothbrush demonstrated a statistically significantly greater reduction in plaque than the ADA manual toothbrush plus floss (p<0.001), which in turn had a statistically significantly greater reduction in plaque than the ADA manual toothbrush alone (p<0.001). The prototype Deep Clean manual toothbrush group had, on average, 25.2% and 18.3% greater plaque removal scores than the ADA manual toothbrush alone and the ADA manual toothbrush plus floss groups, respectively. Results for the interproximal and gingival margin regions also demonstrated statistically significantly (p<0.001) greater plaque removal for the prototype Deep Clean manual toothbrush group relative to the other groups. Conclusions The prototype manual Deep Clean toothbrush was found to deliver greater plaque removal by 25.2% and 18.3% compared to the control manual toothbrush group (ADA reference manual toothbrush) and ADA manual toothbrush plus floss group. Citation Terézhalmy GT, Bsoul SA, Bartizek RD, Biesbrock AR. Plaque Removal Efficacy of a Prototype Manual Toothbrush versus an ADA Reference Manual Toothbrush with and without Dental Floss. J Contemp Dent Pract 2005 August;(6)3:001-013.

scholarly journals Reducing Aggression by Developing Emotional and Inhibitory Control

2021 ◽  
Vol 18 (10) ◽  
pp. 5263
Author(s):  
Miriam Romero-López ◽  
María Carmen Pichardo ◽  
Ana Justicia-Arráez ◽  
Judit Bembibre-Serrano
Keyword(s):  
Psychosocial Development ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Generalized Linear Mixed Model ◽  
Emotional Control ◽  
Control Group ◽  
Post Intervention ◽  
Mixed Model Analysis ◽  
Intervention Measures ◽  
Experimental Group

The objective of this study is to measure the effectiveness of a program on improving inhibitory and emotional control among children. In addition, it is assessed whether the improvement of these skills has an effect on the reduction of aggressive behavior in pre-school children. The participants were 100 children, 50 belonging to the control group and 50 to the experimental group, aged between 5 and 6 years. Pre-intervention and post-intervention measures of inhibitory and emotional control (BRIEF-P) and aggression (BASC) were taken. A Generalized Linear Mixed Model analysis (GLMM) was performed and found that children in the experimental group scored higher on inhibitory and emotional control compared to their peers in the control group. In addition, these improvements have an effect on the decrease in aggressiveness. In conclusion, preventive research should have among its priorities the design of such program given their implications for psychosocial development.

scholarly journals PSX-7 Effect of varying levels of hempseed meal supplementation on animal performance, rumen fermentation, and blood metabolites of growing meat goats

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 459-460
Author(s):  
Frank W Abrahamsen ◽  
Nar Gurung ◽  
Woubit Abdela ◽  
Gopal Reddy ◽  
Kim Mullenix
Keyword(s):  
Mixed Model ◽  
Average Daily Gain ◽  
Live Weight ◽  
Blood Chemistry ◽  
Optimal Level ◽  
Rumen Fermentation ◽  
Serum Glucose ◽  
Mixed Model Analysis ◽  
Meat Goats ◽  
Significant Difference

Abstract Hempseed meal (HSM) is a byproduct of hemp oil production and is high in crude protein, fiber, and fat, making it a potential feedstuff for ruminants. The objective of this study was to evaluate the effect of HSM supplementation on growth performance, rumen fermentation and blood chemistry profile of growing meat goats. Forty castrated, Boer cross goats were randomly assigned to one of the four treatments (n = 10): control, 10%, 20%, and 30% HSM supplementation. Data collected over a period of a 60-day feeding trial were analyzed utilizing the mixed model analysis function of SYSTAT, version 13. The result revealed total live weight gain decreased with the increasing levels of HSM supplementation 10.75, 9.53, 8.48, and 7.80 kg, for 0, 10, 20, and 30%, respectively. Average daily gain followed the same trend 0.179, 0.159, 0.141, and 0.13 kg, with a significant difference (P &lt; 0.05) observed between the control and 30 % supplementation. Conversely, feed to gain ratio increased with the increasing levels of supplementation 9.0, 10.2, 11.9, 12.2, likewise a significant difference was observed (P &lt; 0.05) between the control and 30% supplementation. Acetic, propionic, butyric, valeric, iso-valeric, and iso-butyric acid concentrations as well as the total VFA concentration decreased significantly (P &lt; 0.05) with the increasing level of supplementation. Acetic to propionic acid ratios increased with increasing level of supplementation 3.43, 4.36, 4.52, and 4.59, significant differences (P &lt; 0.05) were observed between control-20% and 30% HSM group. Serum glucose concentration decreased with an increasing rate of HSM supplementation while BUN concentration increased with no significant differences. These findings provide new insights into the feeding value of HSM for meat goats; however, further research needs to be conducted to determine the optimal level of supplementation.

scholarly journals Metabolic Adaptations to Dynamic Energy Requirements during Lactation and Pregnancy in Dairy Cows with Varying Proportions of Holstein and Simmental Breed

Proceedings ◽  
2020 ◽  
Vol 73 (1) ◽  
pp. 9
Author(s):  
Deise Aline Knob ◽  
André Thaler Neto ◽  
Helen Schweizer ◽  
Anna Weigand ◽  
Roberto Kappes ◽  
...  
Keyword(s):  
Energy Balance ◽  
Dairy Cows ◽  
Fixed Effects ◽  
Mixed Model ◽  
Negative Energy ◽  
Negative Energy Balance ◽  
Repeated Measure ◽  
Holstein Cows ◽  
Mixed Model Analysis ◽  
Genetic Groups

Depending on the breed or crossbreed line, cows have to cope with a more or less severe negative energy balance during the period of high milk yields in early lactation, which can be detected by beta-hydroxybutyrate (BHBA) and non-esterified fatty acids (NEFAs) in blood. Preventing cows from undergoing a severe negative energy balance by breeding and/or feeding measures is likely to be supported by the public and may help to improve the sustainability of milk production. The aim was to compare BHBA and NEFA concentrations in the blood of Holstein and Simmental cows and their crosses during the prepartum period until the end of lactation. In total, 164 cows formed five genetic groups according to their theoretic proportion of Holstein and Simmental genes as follows: Holstein (100% Holstein; n = 9), R1-Hol (51–99% Holstein; n = 30), F1 crossbreds (50% Holstein, 50% Simmental; n = 17), R1-Sim (1–49% Holstein; n = 81) and Simmental (100% Simmental; n = 27). NEFA and BHBA were evaluated once a week between April 2018 and August 2019. A mixed model analysis with fixed effects breed, week (relative to calving), the interaction of breed and week, parity, calving year, calving season, milking season, and the repeated measure effect on cows was used. Holstein cows had higher NEFAs (0.196 ± 0.013 mmol/L), and Simmental cows had the lowest NEFA concentrations (0.147 ± 0.008 mmol/L, p = 0.03). R1-Sim, F1 and R1-Hol cows had intermediate values (0.166 ± 0.005, 0.165 ± 0.010, 0.162 ± 0.008 mmol/L; respectively). The highest NEFA value was found in the first week after calving (0.49 ± 0.013 mmol/L). BHBA did not differ among genetic groups (p = 0.1007). There was, however, an interaction between the genetic group and week (p = 0.03). While Simmental, R1-Sim and F1 cows had the highest BHBA value, the second week after calving (0.92 ± 0.07 and 1.05 ± 0.04, and 1.10 ± 0.10 mmol/L, respectively), R1-Hol and Holstein cows showed the BHBA peak at the fourth week after calving (1.16 ± 0.07 and 1.36 ± 0.12 mmol/L, respectively). Unexpectedly, Holstein cows had a high BHBA peak again at week 34 after calving (1.68 ± 0.21 mmol/L). The genetic composition of the cows affects NEFA and BHBA. Simmental and R1-Sim cows mobilize fewer body reserves after calving. Therefore, dairy cows with higher degrees of Simmental origin might be more sustainable in comparison with Holstein genetics in the present study.

scholarly journals Methods to Assess Fat Mass in Infants and Young Children: A Comparative Study Using Skinfold Thickness and Air-Displacement Plethysmography

Life ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 75
Author(s):  
Stefanie M. P. Kouwenhoven ◽  
Nadja Antl ◽  
Jos W. R. Twisk ◽  
Berthold V. Koletzko ◽  
Martijn J. J. Finken ◽  
...  
Keyword(s):  
Young Children ◽  
Fat Mass ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Correlation Coefficients ◽  
Skinfold Thickness ◽  
Limited Information ◽  
Air Displacement Plethysmography ◽  
Mixed Model Analysis ◽  
Infants And Young Children

Background: Traditionally, fat mass is estimated using anthropometric models. Air-displacement plethysmography (ADP) is a relatively new technique for determining fat mass. There is limited information on the agreement between these methods in infants and young children. Therefore we aimed to longitudinally compare fat mass percentage values predicted from skinfold thicknesses (SFTs) and ADP in healthy infants and young children. Methods: Anthropometry and body composition were determined at the ages of 1, 4, and 6 months and 2 years. We quantified the agreement between the two methods using the Bland–Altman procedure, linear mixed-model analysis, and intra-class correlation coefficients (ICC). Results: During the first 6 months of life, fat mass% predicted with SFT was significantly different from that measured with ADP in healthy, term-born infants (n = 245). ICCs ranged from 0.33 (at 2 years of age) and 0.47 (at 4 months of age). Although the mean difference (bias) between the methods was low, the Bland–Altman plots showed proportional differences at all ages with wide limits of agreement. Conclusions: There is poor agreement between ADP and SFTs for estimating fat mass in infancy or early childhood. The amount of body fat was found to influence the agreement between the methods.

scholarly journals Rate and Determinants of Excessive Fat-Free Mass Loss After Bariatric Surgery

2020 ◽  
Vol 30 (8) ◽  
pp. 3119-3126
Author(s):  
Malou A. H. Nuijten ◽  
Valerie M. Monpellier ◽  
Thijs M. H. Eijsvogels ◽  
Ignace M. C. Janssen ◽  
Eric J. Hazebroek ◽  
...  
Keyword(s):  
Bariatric Surgery ◽  
Time Course ◽  
Mixed Model ◽  
Linear Regression Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Free Mass ◽  
Mixed Model Analysis ◽  
Post Surgery ◽  
Post Bariatric Surgery

Abstract Purpose Fat-free mass (FFM) loss is a concerning aspect of bariatric surgery, but little is known about its time-course and factors related with excessive FFM loss. This study examined (i) the progress of FFM loss up to 3 years post-bariatric surgery and (ii) the prevalence and determinants of excessive FFM loss. Materials and Methods A total of 3596 patients (20% males, 43.5 ± 11.1 years old, BMI = 44.2 ± 5.5 kg/m2) underwent sleeve gastrectomy (SG) or Roux-en-Y gastric bypass (RYGB) surgery. Bioelectrical impedance analysis was performed preoperatively and 3, 6, 9, 12, 18, 24 and 36 months post-surgery. Changes in body composition were assessed by mixed model analysis. Prevalence of excessive FFM loss (based on three different cutoff values: ≥ 25%, ≥ 30% and ≥ 35% FFM loss/weight loss (= %FFML/WL)) was estimated and its determinants were assessed by linear regression analysis. Results Highest rates of FFM loss were found at 3 and 6 months post-surgery, reflecting 57% and 73% of peak FFM loss, respectively. Prevalence of excessive FFM loss ranged from 14 to 46% at 36 months post-surgery, with an older age (β = 0.14, 95%CI = 0.10–0.18, P < .001), being male (β = 3.99, 95%CI = 2.86–5.12, P < .001), higher BMI (β = 0.13, 95%CI = 0.05–0.20, P = .002) and SG (β = 2.56, 95%CI = 1.36–3.76, P < .001) as determinants for a greater %FFML/WL. Conclusion Patients lost most FFM within 3 to 6 months post-surgery. Prevalence of excessive FFM loss was high, emphasizing the need for more vigorous approaches to counteract FFM loss. Furthermore, future studies should assess habitual physical activity and dietary intake shortly after surgery in relation to FFM loss.

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