Autolytic and putrefactive processes can cause considerable alterations to soft tissues and internal organs that may complicate forensic assessments. An overview was undertaken of the range of taphonomonic changes and processes that may result from postmortem putrefactive gas accumulation. The most commonly encountered phenomenon was purging of putrefactive fluids from the nose and mouth that was on occasion confused with bleeding from antemortem trauma. Much less common was putrefactive \'rigor mortis\' where the limbs extend due to the accumulation of soft tissue and subcutaneous gas. This may sometimes be associated with alteration of the position of a body suggesting that it had been deliberately moved. Distension and stretching of the skin and subcutaneous tissues may cause recently sutured surgical incisions to dehisce, raising the possibility of inflicted incised wounds. Raised intra-abdominal pressures may cause diaphragmatic herniation of small intestine and has been associated with so-called \'coffin birth\' where a fetus is expelled from the uterus after death due to pressure on the fundus. Gas accumulation on postmortem computed tomography examination may be confused with air embolism or the effects of trauma. All of these changes are the result of anaerobic bacterial action generating gases such as methane, carbon dioxide and hydrogen sulphide resulting in pressure gradients.

OBJECTIVE: Binge eating and self-induced vomiting are common, transdiagnostic eating disorder (ED) symptoms. Efforts to understand these behaviors in research and clinical settings have historically relied on self-report measures, which may be biased and have limited ecological validity. It may be possible to passively detect binge eating and vomiting using data collected by continuous glucose monitors (CGMs; minimally invasive sensors that measure blood glucose levels), as these behaviors yield characteristic glucose responses.
METHODS: This study developed machine learning classification algorithms to classify binge eating and vomiting among 22 adults with binge-spectrum EDs using CGM data. Participants wore Dexcom G6 CGMs and reported eating episodes and disordered eating symptoms using ecological momentary assessment for 2 weeks. Group-level random forest models were generated to distinguish binge eating from typical eating episodes and to classify instances of vomiting.
RESULTS: The binge eating model had accuracy of 0.88 (95% CI: 0.83, 0.92), sensitivity of 0.56, and specificity of 0.90. The vomiting model demonstrated accuracy of 0.79 (95% CI: 0.62, 0.91), sensitivity of 0.88, and specificity of 0.71.
CONCLUSIONS: Results suggest that CGM may be a promising avenue for passively classifying binge eating and vomiting, with implications for innovative research and clinical applications.

Inbreeding is unavoidable in small populations. However, the deleterious effects of inbreeding on fitness-related traits (inbreeding depression) may not be an inevitable phenomenon, since deleterious recessive alleles causing inbreeding depression might be purged from populations through inbreeding and selection. Inbreeding purging has been of great interest in conservation biology and animal breeding, because populations manifesting lower inbreeding depression could be created even with a small number of breeding animals, if inbreeding purging exists. To date, many studies intending to detect inbreeding purging in captive and domesticated animal populations have been carried out using pedigree analysis. Ballou\'s ancestral inbreeding coefficient (FBAL-ANC) is one of the most widely used measurements to detect inbreeding purging, but the theoretical basis for FBAL-ANC has not been fully established. In most of the published works, estimates from stochastic simulation (gene-dropping simulation) have been used. In this report, the author provides a mathematical basis for FBAL-ANC and proposes a new estimate by hybridizing stochastic and deterministic computation processes. A stochastic simulation suggests that the proposed method could considerably reduce the variance of estimates, compared to ordinary gene-dropping simulation, in which whole gene transmissions in a pedigree are stochastically determined. The favorable property of the proposed method results from the bypass of a part of the stochastic process in the ordinary gene-dropping simulation. Using the proposed method, the reliability of the estimates of FBAL-ANC could be remarkably enhanced. The relationship between FBAL-ANC and other pedigree-based parameters is also discussed.

OBJECTIVE: Evidence suggests that interpersonal stress plays a role in maintaining binge eating and purging (e.g., self-induced vomiting, misuse of laxatives). Stress is especially likely to promote engagement in maladaptive behaviour if the behaviour is habitual; therefore, individuals whose binge eating and/or purging are habitual may be particularly likely to engage in these behaviours in the context of interpersonal stress. We aimed to investigate this hypothesis in a sample of women with binge eating and/or purging using ecological momentary assessment (EMA).
METHODS: Women (N = 81) with binge-eating and/or purging symptoms completed a self-report measure assessing habit strength of binge eating and purging followed by a 14-day EMA protocol assessing daily perceived interpersonal stress and binge-eating and purging episodes.
RESULTS: Habit strength of purging moderated the within-person effect of interpersonal stress on purging frequency, such that higher daily stress was associated with greater same-day purging frequency when purging was more habitual. Contrary to expectations, the interactive effect of habit strength of binge eating and daily interpersonal stress on same-day binge-eating frequency was non-significant.
CONCLUSIONS: Findings suggest that individuals with habitual purging may be vulnerable to engaging in purging when they are experiencing high levels of interpersonal stress.

The aim of the present study was to investigate the potential associations between clinical/socio-demographic variables and the presence of purging/binge-eating episodes in eating disorders (EDs). Clinical/socio-demographic variables and psychometric scores were collected. Groups of patients were identified according to the presence or absence of purging or objective binge-eating episodes (OBEs) and compared through t-test and chi-square tests. Binary logistic regression analyses were run. A sample of 51 ED outpatients was recruited. Patients with purging behaviors had a longer duration of untreated illness (DUI) (t = 1.672; p = 0.019) and smoked a higher number of cigarettes/day (t = 1.061; p = 0.030) compared to their counterparts. A lower BMI was associated with purging (OR = 0.881; p = 0.035), and an older age at onset showed a trend towards statistical significance (OR = 1.153; p = 0.061). Patients with OBEs, compared to their counterparts, were older (t = 0.095; p < 0.001), more frequently presented a diagnosis of bulimia or binge-eating disorder (χ2 = 26.693; p < 0.001), a longer duration of illness (t = 2.162; p = 0.019), a higher number of hospitalizations (t = 1.301; p = 0.012), and more often received a prescription for pharmacological treatment (χ2 = 7.864; OR = 6.000; p = 0.005). A longer duration of the last pharmacological treatment was associated with OBE (OR = 1.569; p = 0.046). In contrast to purging, OBE was associated with a more complicated and severe presentation of ED. A lower BMI and a later age at onset, as well as long-lasting previous pharmacological treatments, may predict the presence of purging/binging. Further research is needed to thoroughly characterize ED features and corroborate our preliminary findings.

OBJECTIVE: Both disordered eating and disturbed sleep represent significant threats to mental health. Accumulating evidence suggests that disordered eating behaviors and sleep problems co-occur. A majority of current research, however, has focused on these behaviors as components of eating disorder diagnoses, rather than investigating the independent associations of transdiagnostic disordered eating behaviors and sleep. The present study sought to examine fasting, binge eating, self-induced vomiting, laxative or diuretic misuse, and driven exercise as predictors of sleep quality complaints.
METHODS: An online sample of 648 U.S. adults completed the Eating Disorder Examination - Questionnaire, the Pittsburgh Sleep Quality Index, and the Patient Health Care Questionnaire-2 as part of a larger parent study.
RESULTS: Results of a hierarchical linear regression revealed that, collectively, disordered eating behaviors predicted worse sleep quality [R2 = 0.30, F(7, 640) = 31.21, p < .001], and that both binge eating and fasting, but not other compensatory behaviors, accounted for unique variance in sleep quality after controlling for BMI and depression.
CONCLUSIONS: Overall, findings suggest that transdiagnostic disordered eating behaviors are associated with sleep quality complaints. Improved understanding of the specific relationships between individual eating behaviors and sleep characteristics can help refine the identification of individuals at high risk for sleep disturbance and address the potential reciprocal influence of sleep quality on disordered eating behaviors.

OBJECTIVE: Cognitive rigidity, or difficulty adapting to changing demands, is commonly observed in anorexia nervosa. Less is known, however, about cognitive flexibility (CF) in bulimia nervosa (BN) and, particularly, adolescence. Clarifying this relation and best assessment practices may guide informed clinical decision-making. The current study compared how two measures of CF (i.e., Wisconsin Card Sort Task [WCST] and Trail Making Task [TMT]) relate to BN symptoms among adolescents.
METHODS: Data from a subsample (n = 78) of adolescents with BN were analyzed. Linear and hurdle regressions were used to compare the effects of WCST perseverative errors and TMT performance on Eating Disorder Examination Global Scores, objective binge episodes, and self-induced vomiting episodes (SVEs) at baseline and end-of-treatment (EOT).
RESULTS: Neither CF measure associated with baseline BN symptoms. TMT performance positively associated with the likelihood of engaging in SVEs at EOT (𝛽 = 0.47, p = 0.01, 95% confidence interval [CI] = [0.11-0.84]) and, among adolescents who endorsed ≥1 SVE at EOT, WCST perseverative errors (𝛽 = 0.05, p = 0.005, 95% CI = [0.01-0.08]) positively associated with SVE frequency at EOT.
CONCLUSIONS: The overall lack of associations between CF and outcomes suggests that cognitive rigidity may not be as relevant to the clinical profile of adolescent BN as for anorexia nervosa. In the few significant associations that emerged, the WCST and TMT uniquely predicted the severity of vomiting at EOT in this sample. Given the lack of CF deficits, future work should aim to test the role of other executive functions (e.g., impulsivity), in addition to CF, to determine which deficits are present in adolescent BN and may predict outcomes.
UNASSIGNED: Patients with eating disorders often have difficulties thinking flexibly, which may interfere with their recovery. We tested two ways of measuring flexible thinking in adolescents with BN. Overall, flexible thinking was not associated with symptom-level outcomes. However, less flexible thinking at the start of treatment predicted self-induced vomiting at EOT. If findings are replicable, then assessing and addressing flexible thinking could improve outcomes for adolescents with BN.

This dataset gathers the initial formation and the evolution of water content and distribution, as well as water evacuation, within a lung-inspired PEM (proton exchange membrane) fuel cell with a 50 cm2 active area for various operating conditions such as cell pressure, relative humidity of the reactant (anode and cathode), temperature, and cell current density. Neutron imaging was used since it has been shown to be an effective technique for quantitative analysis of water distribution, obtaining the thickness of the water with the Lambert-Beer law, thus obtaining the numerical data that composes the tables and graphs in this dataset. A series of videos compiling the individual images obtained through neutron imaging, showing the water distribution evolution are presented. Numerical and graphical compilation of the amount of water in a cell through time in different regions of the cell and for a total of 10 experiments are provided. This dataset provides a deeper knowledge on the complex phenomena that liquid water is subjected to in fuel cells along time, as well as a basis for an experimental validation for Computational Fluid Dynamics (CFD) simulations.

Objective: This study investigated whether sleep reactivity (i.e., a propensity to experience sleep disturbances when stressed) relates to eating disorder behavioral symptoms indirectly through dysphoric mood in a sample of college students. Participants: One hundred and ninety-eight college students (51.5% female). Methods: Participants completed self-report measures of dysphoric mood, eating disorder behavioral symptoms, and sleep reactivity. Results: Higher sleep reactivity was associated with greater binge-eating symptoms indirectly through higher dysphoric mood. Higher sleep reactivity was associated with greater purging symptoms; however, this association was not explained by dysphoric mood. Conclusions: Findings support the relevance of sleep reactivity to binge eating and purging and suggest that sleep reactivity relates to binge-eating symptoms indirectly through dysphoric mood. If replicated in prospective data, targeting stress-induced sleep and mood disturbances in college students may reduce risk for binge eating.

BACKGROUND: Trait-level emotion regulation (ER) difficulties are associated with eating disorders (EDs) transdiagnostically. However, little research has examined whether within-person fluctuations in ER longitudinally predict ED behaviors in daily life or the mechanisms of ER effects. Investigating daily ER could help us better understand why people experience ED behaviors at a given time. We examined whether day-to-day changes in adaptive (e.g., cognitive reappraisal) and maladaptive (e.g., rumination) ER longitudinally predicted core ED behaviors (binge eating, purging, dieting) and whether changes in affect mediated effects.
METHODS: Female participants (N = 688) ages 15-30 from the Michigan State University Twin Registry reported their adaptive and maladaptive ER use, negative affect (NA), positive affect (PA), binge eating, purging, and dieting on 49 consecutive days. Using structural equation modeling, we examined whether within-person fluctuations in ER predicted same- and next-day ED behaviors and whether changes in affect mediated longitudinal ER effects.
RESULTS: Greater maladaptive ER predicted increased likelihood of same-day binge eating and next-day binge eating and purging. The association between maladaptive ER and next-day binge eating and purging was mediated by increased next-day NA. In contrast, dieting was more closely related to changes in PA. Adaptive ER did not predict reduced likelihood of any ED behavior.
CONCLUSIONS: Maladaptive ER may longitudinally increase risk for binge eating and purging by amplifying NA. Interventions focused on decreasing maladaptive ER and subsequent NA might help disrupt binge eating-purging cycles. Conversely, results add to evidence that PA fluctuations may play a unique role in maintaining restrictive behaviors.
UNASSIGNED: Little is known about how daily changes in emotion regulation may impact disordered eating. We found that maladaptive emotion regulation (e.g., rumination) was associated with a higher likelihood of binge eating and purging on the next day because it predicted increased next-day negative affect. In contrast, dieting was more closely tied to fluctuations in positive affect. Targeting daily emotion regulation and affective processes may help disrupt cycles of disordered eating.