The Impact of Sleep on Mental Toughness: Evidence From Observational and N-of-1 Manipulation Studies in Athletes

This is the author accepted manuscript. The final version is available from American Psychological Association via the DOI in this recordhe purpose of this study was to explore the direction and magnitude of the relationship between sleep and mental toughness and examine the effect of time in bed extension and restriction on mental toughness. Study 1 was an observational study examining the relationship between sleep quality and duration (hours) and mental toughness in 181 participants. Winsorized correlations revealed both longer sleep duration (ρω = .176 [.033, .316], p = .016) and higher quality (ρω = .412 [.270, .541], p ≤ .001) were associated with increased mental toughness. Follow-up regression analyses revealed sleep quality (b = 0.177, [0.117, 0,238], p ≤ .001), but not sleep duration (b = 0.450, [0.3254, 1.22], p = .256), predicted mental toughness score. In Study 2, we utilized a longitudinal N-of-1 influenced methodology with 6 participants to further examine whether manipulated time in bed (i.e., sleep duration) influenced mental toughness. Participants recorded sleep quality, duration, and mental toughness over 5 weekdays during 2 separate 2-week periods of baseline (normal sleeping pattern) followed by manipulated time in bed (counterbalanced 9 hr or 5 hr). Visual analyses (including determination of nonoverlapping data points between baseline and intervention weeks) revealed reduced time in bed negatively impacted the mental toughness of 4 of the participants. Social validation interviews were conducted to further explore participants' perceptions of the sleep manipulation. A cumulative effect of reduced sleep on mental toughness was noted by specific individuals. In addition, participants identified potential buoys of mental toughness in the absence of sleep

An exploratory case study of mental toughness variability and potential influencers over 30 Days

This is the final version. Available from the publisher via the DOI in this record.The purpose of this study was to explore whether mental toughness varies across a 30-day training block and whether such variability is associated with specific antecedents. This exploratory case study research investigated mental toughness variability using the Mental Toughness Index (MTI) with thirteen elite master runners across a series of self-selected training sessions, followed by interviews and follow-up questionnaires, to identify primary influencers of variability. There were significant differences in the MTI scores between baseline (before the training period), and the minimum and the maximum reported score over five self-selected training sessions (p's < 0.004). The proceeding follow-up interviews and questionnaires then provided insights into factors influencing this intra-individual variability. These higher-level themes included foundational wellbeing, specific preparation, and actions utilized in the moment. This study is the first to demonstrate within-person MTI variability across specific training sessions and provides initial insights for both athletes and practitioners into potential influencers of mental toughness

The optimal hormonal replacement modality selection for multiple organ procurement from brain-dead organ donors

The management of brain-dead organ donors is complex. The use of inotropic agents and replacement of depleted hormones (hormonal replacement therapy) is crucial for successful multiple organ procurement, yet the optimal hormonal replacement has not been identified, and the statistical adjustment to determine the best selection is not trivial. Traditional pair-wise comparisons between every pair of treatments, and multiple comparisons to all (MCA), are statistically conservative. Hsu’s multiple comparisons with the best (MCB)-adapted from the Dunnett’s multiple comparisons with control (MCC)-has been used for selecting the best treatment based on continuous variables. We selected the best hormonal replacement modality for successful multiple organ procurement using a two-step approach. First, we estimated the predicted margins by constructing generalized linear models (GLM) or generalized linear mixed models (GLMM), and then we applied the multiple comparison methods to identify the best hormonal replacement modality given that the testing of hormonal replacement modalities is independent. Based on 10-year data from the United Network for Organ Sharing (UNOS), among 16 hormonal replacement modalities, and using the 95% simultaneous confidence intervals, we found that the combination of thyroid hormone, a corticosteroid, antidiuretic hormone, and insulin was the best modality for multiple organ procurement for transplantation

A 3000-mile tour of mental toughness: An autoethnographic exploration of mental toughness intra-individual variability in endurance sport

This is the author accepted manuscript. The final version is available from Routledge via the DOI in this recordMental toughness has garnered considerable attention over the past two decades because of the perception that this psychological construct influences an athlete’s ability to strive, thrive, and survive in sport. However, few researchers have explored the lived experiences of mental toughness within endurance sport. Analysis of lived experiences could help reveal how an athlete demonstrates (or does not demonstrate) mental toughness in real-world settings and provide insights for researchers, coaches and athletes in the future. The current autoethnographic approach offers an alternative perspective to supplement the existing mental toughness literature, and provides the most appropriate format to analyze the within-person mental toughness element at the core of this research study. The study recounts and analyses the personal experience of mental toughness across a trilogy of cycling, triathlon, and running endurance events by a single athlete over a 5-month period. The main findings focus on the variability of perceived mental toughness at different stages of competition and training and identify potential factors driving the notable fluctuation in levels of mental toughness. Factors identified as increasing this within-person mental toughness included anger, love, competition, encouragement and the recognition of a last chance to achieve meaningful goals. These findings are expected to support future research into within-person mental toughness and the practical application across a broader spectrum of settings

Genomic Selective Constraints in Murid Noncoding DNA

Recent work has suggested that there are many more selectively constrained, functional noncoding than coding sites in mammalian genomes. However, little is known about how selective constraint varies amongst different classes of noncoding DNA. We estimated the magnitude of selective constraint on a large dataset of mouse-rat gene orthologs and their surrounding noncoding DNA. Our analysis indicates that there are more than three times as many selectively constrained, nonrepetitive sites within noncoding DNA as in coding DNA in murids. The majority of these constrained noncoding sites appear to be located within intergenic regions, at distances greater than 5 kilobases from known genes. Our study also shows that in murids, intron length and mean intronic selective constraint are negatively correlated with intron ordinal number. Our results therefore suggest that functional intronic sites tend to accumulate toward the 5' end of murid genes. Our analysis also reveals that mean number of selectively constrained noncoding sites varies substantially with the function of the adjacent gene. We find that, among others, developmental and neuronal genes are associated with the greatest numbers of putatively functional noncoding sites compared with genes involved in electron transport and a variety of metabolic processes. Combining our estimates of the total number of constrained coding and noncoding bases we calculate that over twice as many deleterious mutations have occurred in intergenic regions as in known genic sequence and that the total genomic deleterious point mutation rate is 0.91 per diploid genome, per generation. This estimated rate is over twice as large as a previous estimate in murids

LC3 and STRAP regulate actin filament assembly by JMY during autophagosome formation.

During autophagy, actin filament networks move and remodel cellular membranes to form autophagosomes that enclose and metabolize cytoplasmic contents. Two actin regulators, WHAMM and JMY, participate in autophagosome formation, but the signals linking autophagy to actin assembly are poorly understood. We show that, in nonstarved cells, cytoplasmic JMY colocalizes with STRAP, a regulator of JMY's nuclear functions, on nonmotile vesicles with no associated actin networks. Upon starvation, JMY shifts to motile, LC3-containing membranes that move on actin comet tails. LC3 enhances JMY's de novo actin nucleation activity via a cryptic actin-binding sequence near JMY's N terminus, and STRAP inhibits JMY's ability to nucleate actin and activate the Arp2/3 complex. Cytoplasmic STRAP negatively regulates autophagy. Finally, we use purified proteins to reconstitute LC3- and JMY-dependent actin network formation on membranes and inhibition of network formation by STRAP. We conclude that LC3 and STRAP regulate JMY's actin assembly activities in trans during autophagy

Fermi resonance-algebraic model for molecular vibrational spectra

A Fermi resonance-algebraic model is proposed for molecular vibrations, where a U(2) algebra is used for describing the vibrations of each bond, and Fermi resonances between stretching and bending modes are taken into account. The model for a bent molecule XY_2 and a molecule XY_3 is successfully applied to fit the recently observed vibrational spectrum of the water molecule and arsine (AsH_3), respectively, and results are compared with those of other models. Calculations show that algebraic approaches can be used as an effective method for describing molecular vibrations with small standard deviations

Pressure dependent electronic properties of MgO polymorphs: A first-principles study of Compton profiles and autocorrelation functions

The first-principles periodic linear combination of atomic orbitals method within the framework of density functional theory implemented in the CRYSTAL06 code has been applied to explore effect of pressure on the Compton profiles and autocorrelation functions of MgO. Calculations are performed for the B1, B2, B3, B4, B8_1 and h-MgO polymorphs of MgO to compute lattice constants and bulk moduli. The isothermal enthalpy calculations predict that B4 to B8_1, h-MgO to B8_1, B3 to B2, B4 to B2 and h-MgO to B2 transitions take place at 2, 9, 37, 42 and 64 GPa respectively. The high pressure transitions B8_1 to B2 and B1 to B2 are found to occur at 340 and 410 GPa respectively. The pressure dependent changes are observed largely in the valence electrons Compton profiles whereas core profiles are almost independent of the pressure in all MgO polymorphs. Increase in pressure results in broadening of the valence Compton profiles. The principal maxima in the second derivative of Compton profiles shifts towards high momentum side in all structures. Reorganization of momentum density in the B1 to B2 structural phase transition is seen in the first and second derivatives before and after the transition pressure. Features of the autocorrelation functions shift towards lower r side with increment in pressure.Comment: 19 pages, 8 figures, accepted for publication in Journal of Materials Scienc

Modeling concept drift: A probabilistic graphical model based approach

An often used approach for detecting and adapting to concept drift when doing classi cation is to treat the data as i.i.d. and use changes in classi cation accuracy as an indication of concept drift. In this paper, we take a different perspective and propose a framework, based on probabilistic graphical models, that explicitly represents concept drift using latent variables. To ensure effcient inference and learning, we resort to a variational Bayes inference scheme. As a proof of concept, we demonstrate and analyze the proposed framework using synthetic data sets as well as a real fi nancial data set from a Spanish bank

Fibrinogen regulates the cytotoxicity of mycobacterial trehalose dimycolate, but is not required for cell recruitment, cytokine response, or control of mycobacterial infection

During inflammatory responses and wound healing, the conversion of soluble fibrinogen to fibrin, an insoluble extracellular matrix, long has been assumed to create a scaffold for the migration of leukocytes and fibroblasts. Previous studies concluded that fibrinogen is a necessary cofactor for mycobacterial trehalose 6,6-dimycolate-induced responses, because trehalose dimycolate-coated beads, to which fibrinogen was ad-sorbed, were more inflammatory than those to which other plasma proteins were adsorbed. Herein, we investigate roles for fibrin(ogen) in an in vivo model of mycobacterial granuloma formation and in infection with Mycobacterium tuberculosis, the causative agent of tuberculosis. In wild-type mice, the subcutaneous injection of trehalose dimycolate-coated polystyrene microspheres, suspended within Matrigel, elicited a pyogranulomatous response during the course of 12 days. In fibrinogen-deficient mice, neutrophils were recruited but a more suppurative lesion developed, with the marked degradation and disintegration of the matrix. Compared to that in wild-type mice, the early formation of granulation tissue in fibrinogen-deficient mice was edematous, hypocellular, and disorganized. These deficiencies were complemented by the addition of exogenous fibrinogen. The absence of fibrinogen had no effect on cell recruitment or cytokine production i