The use of Hardy-Weinberg Equilibrium in clonal plant systems

Traditionally population genetics precludes the use of the same genetic individual more than once in Hardy-Weinberg (HW) based calculations due to the model\u27s explicit assumptions. However, when applied to clonal plant populations this can be difficult to do, and in some circumstances, it may be ecologically informative to use the ramet as the data unit. In fact, ecologists have varied the definition of the individual from a strict adherence to a single data point per genotype to a more inclusive approach of one data point per ramet. With the advent of molecular tools, the list of facultatively clonal plants and the recognition of their ecological relevance grows. There is an important risk of misinterpretation when HW calculations are applied to a clonal plant not recognized as clonal, as well as when the definition of the individual for those calculations is not clearly stated in a known clonal species. Focusing on heterozygosity values, we investigate cases that demonstrate the extreme range of potential modeling outcomes and describe the different contexts where a particular definition could better meet ecological modeling goals. We emphasize that the HW model can be ecologically relevant when applied to clonal plants, but caution is necessary in how it is used, reported, and interpreted. We propose that in known clonal plants, both genotype (GHet) and ramet (RHet) based calculations are reported to define the full range of potential values and better facilitate cross-study comparisons

Relationship Between Sleep and Behavior in Autism Spectrum Disorder: Exploring the Impact of Sleep Variability.

Objective:The relationship between sleep (caregiver-reported and actigraphy-measured) and other caregiver-reported behaviors in children and adults with autism spectrum disorder (ASD) was examined, including the use of machine learning to identify sleep variables important in predicting anxiety in ASD. Methods:Caregivers of ASD (n = 144) and typically developing (TD) (n = 41) participants reported on sleep and other behaviors. ASD participants wore an actigraphy device at nighttime during an 8 or 10-week non-interventional study. Mean and variability of actigraphy measures for ASD participants in the week preceding midpoint and endpoint were calculated and compared with caregiver-reported and clinician-reported symptoms using a mixed effects model. An elastic-net model was developed to examine which sleep measures may drive prediction of anxiety. Results:Prevalence of caregiver-reported sleep difficulties in ASD was approximately 70% and correlated significantly (p < 0.05) with sleep efficiency measured by actigraphy. Mean and variability of actigraphy measures like sleep efficiency and number of awakenings were related significantly (p < 0.05) to ASD symptom severity, hyperactivity and anxiety. In the elastic net model, caregiver-reported sleep, and variability of sleep efficiency and awakenings were amongst the important predictors of anxiety. Conclusion:Caregivers report problems with sleep in the majority of children and adults with ASD. Reported problems and actigraphy measures of sleep, particularly variability, are related to parent reported behaviors. Measuring variability in sleep may prove useful in understanding the relationship between sleep problems and behavior in individuals with ASD. These findings may have implications for both intervention and monitoring outcomes in ASD

Characterizing Polytobacco Use Trajectories and Their Associations With Substance Use and Mental Health Across Mid-Adolescence.

Background:Polytobacco product use is suspected to be common, dynamic across time, and increase risk for adverse behavioral outcomes. We statistically modeled characteristic types of polytobacco use trajectories during mid-adolescence and tested their prospective association with substance use and mental health problems. Methods:Adolescents (N = 3393) in Los Angeles, CA, were surveyed semiannually from 9th to 11th grade. Past 6-month combustible cigarette, e-cigarette, or hookah use (yes/no) over four assessments were analyzed using parallel growth mixture modeling to identify a parsimonious set of polytobacco use trajectories. A tobacco product use trajectory group was used to predict substance use and mental health at the fifth assessment. Results:Three profiles were identified: (1) tobacco nonusers (N = 2291, 67.5%) with the lowest use prevalence (<3%) of all products across all timepoints; (2) polyproduct users (N = 920, 27.1%) with moderate use prevalence of each product (8-35%) that escalated for combustible cigarettes but decreased for e-cigarettes and hookah across time; and (3) chronic polyproduct users (N = 182, 5.4%) with high prevalence of each product use (38-86%) that escalated for combustible cigarettes and e-cigarettes. Nonusers, polyproduct users, and chronic polyproduct users reported successively higher alcohol, marijuana, and illicit drug use and ADHD at the final follow-up, respectively. Both tobacco using groups (vs. nonusers) reported greater odds of depression and anxiety at the final follow-up but did not differ from each other. Conclusions:Adolescent polytobacco use may involve a common moderate risk trajectory and a less common high-risk chronic trajectory. Both trajectories predict substance use and mental health symptomology. Implications:Variation in use and co-use of combustible cigarette, e-cigarette, and hookah use in mid-adolescence can be parsimoniously characterized by a small set common trajectory profiles in which polyproduct use are predominant patterns of tobacco product use, which predict adverse behavioral outcomes. Prevention and policy addressing polytobacco use (relative to single product use) may be optimal tobacco control strategies for youth, which may in turn prevent other forms of substance use and mental health problems

Inside-Out Corporate Governance

Until late in the twentieth century, internal corporate governance—that is, decision making by the principal constituencies of the firm—was clearly distinct from outside oversight by regulators, auditors and credit rating agencies, and markets. With the 1980s takeover wave and hedge funds’ and equity funds’ more recent involvement in corporate governance, the distinction between inside and outside governance has eroded. The tools of inside governance are now routinely employed by governance outsiders, intertwining the two traditional modes of governance. We argue in this Article that the shift has created a new governance paradigm, which we call inside-out corporate governance. Using the inside-out model as our lens, and drawing on comparisons to Italian and E.U. governance, we explore three areas of corporate governance that have been pervasively restructured by the Dodd-Frank Act and subsequent regulation: proxy access, credit rating agencies, and derivatives. We begin, in Part I, with proxy access, arguing that the new scheme for minority shareholder access excludes the very outsiders it ostensibly integrates into corporate governance. In Part II, which focuses on auditing and credit rating agencies, we argue that the inside-out relationship—in which the corporation itself chooses its gatekeeper—is deeply problematic but cannot be “cured.” The most realistic strategy is to create more flexibility in the audit relationship, and diminish the importance of credit ratings. Part III analyzes the new derivatives regulation. Here, we argue that Congress’s effort to sharply separate the inside and outside uses of derivatives is incoherent from a corporate governance perspective. We conclude by briefly speculating about the future implications of inside-out governance

Inside-Out Corporate Governance

Until late in the twentieth century, internal corporate governance—that is, decision making by the principal constituencies of the firm—was clearly distinct from outside oversight by regulators, auditors and credit rating agencies, and markets. With the 1980s takeover wave and hedge funds’ and equity funds’ more recent involvement in corporate governance, the distinction between inside and outside governance has eroded. The tools of inside governance are now routinely employed by governance outsiders, intertwining the two traditional modes of governance. We argue in this Article that the shift has created a new governance paradigm, which we call inside-out corporate governance. Using the inside-out model as our lens, and drawing on comparisons to Italian and E.U. governance, we explore three areas of corporate governance that have been pervasively restructured by the Dodd-Frank Act and subsequent regulation: proxy access, credit rating agencies, and derivatives. We begin, in Part I, with proxy access, arguing that the new scheme for minority shareholder access excludes the very outsiders it ostensibly integrates into corporate governance. In Part II, which focuses on auditing and credit rating agencies, we argue that the inside-out relationship—in which the corporation itself chooses its gatekeeper—is deeply problematic but cannot be “cured.” The most realistic strategy is to create more flexibility in the audit relationship, and diminish the importance of credit ratings. Part III analyzes the new derivatives regulation. Here, we argue that Congress’s effort to sharply separate the inside and outside uses of derivatives is incoherent from a corporate governance perspective. We conclude by briefly speculating about the future implications of inside-out governance

Prognostic communication in cancer : a critical interpretive synthesis of the literature.

Purpose - For patients with cancer, providing appropriate information about prognosis or chances of recurrent disease remains a difficult area of practice. Much research has suggested that patients want to be given all available information, although the realities of attempting to do this are complex and may be perceived by some as uncaring. A review of recent literature was undertaken to explore the process of disclosure, patient experience and preferences for information regarding prognosis or risk of recurrence. Methods - A systematic approach was taken to searching electronic databases for relevant literature from 2004 to June 2014. Primary research from a range of methodological approaches was included and critical interpretive synthesis was employed to explore themes and identify gaps in the evidence. Results - Twenty papers were identified as appropriate. They were diverse in objectives and patient groups. Themes identified included: the nature of prognostic information, patient need for prognostic information, patient need to maintain hope, balancing hope and realism, patient factors, disease factors and clinician factors. A thematic framework was developed. Conclusions - Patients often struggle to fully understand complex prognostic information. They value help in making sense of this information and generally want information that supports hope. Working with patients to understand and manage the uncertainty of their situation may be particularly valuable. Further research is needed to fully understand the process of prognostic information giving and what information patients want regarding recurrence risk. Research should be aimed at identifying strategies helpful to patients in managing uncertainty inherent in their situation.</p

Detecting longitudinal patterns of daily smoking following drastic cigarette reduction

To enhance prolonged smoking cessation or reduction, a better understanding of the process of change is needed. This study examines daily smoking rates following the end of an intensive smoking reduction program originally designed to evaluate the relationship of tobacco biomarkers with reduced levels of smoking. A novel pattern-oriented approach called time series-based typology is used to detect homogeneous smoking patterns in time-intensively (i.e., 40 occasions) observed smokers (n = 57), who were predominantly Caucasian (94.7%), male (52.6%), and on average 47.9 years old (SD = 11.3). The majority of the smokers exhibited a change in their daily smoking behavior over the course of 40 days with 47.4% increasing and 40.4% decreasing the number of cigarettes smoked per day, which is contrary to the results a group level approach would have found. Very few smokers (12.3%) maintained their average smoking rate, and exhibited an externally controlled smoking pattern. Trajectory type could be predicted by temporally proximal motivation and self-efficacy variables ((F(4, 106) =3.46, p = .011, η2 = .115), underscoring their importance in maintaining reduced smoking rates. Time series-based typology demonstrated good sensitivity to the identification of meaningfully different trajectories