Stroudhickey1748

The MIMI shows good structural validity and known-groups validity. This scale offers interesting research avenues notably regarding perinatal parental adaptation.

The MIMI shows good structural validity and known-groups validity. This scale offers interesting research avenues notably regarding perinatal parental adaptation.Psychiatric comorbidities are frequent in adolescents with internet gaming disorder (IGD). In contrast, the proportion of IGD among adolescents hospitalized for a psychiatric disorder has not been documented yet. In addition, parental ratings of IGD could be useful for diagnosis, but very few data exist on this issue. The objectives of this study were to (1) assess the prevalence of IGD among adolescent psychiatric inpatients, using the Ten-Item Internet Gaming Disorder Test (IGDT-10), and (2) assess the parental version developed for this study (IGDT-10-P). A total of 102 patients, aged from 12 to 17 years old, were included from four psychiatric units of the French region Auvergne-Rhône-Alpes, during a 6-month inclusion period. Adolescents completed the IGDT-10 while one of their parents completed the IGDT-10-P. The inclusion rate among the eligible population was 57.95%. The prevalence of IGD in the sample, based on the IGDT-10 and IGDT-10-P, was 6.00% and 12.79%, respectively. Psychometric features of the IGDT-10-P indicated excellent internal consistency, a good model fit to the one factor model in confirmatory factor analysis, a strong correlation with gaming time, and a moderate correlation with the IGDT-10. Our results support the need for a systematic screening of IGD among adolescents hospitalized for a psychiatric disorder. Future studies should aim to confirm and explain the prevalence gap between self- and parent-reported criteria.

Post-traumatic growth (PTG) is a quite new concept of positive psychology proposed in the mid-1990s which is still rather confidential in France. This article aims to propose a full description of this concept from an historical view to epidemiological data through underlying mechanisms and evaluation.

A literature search identifying relevant results was performed through the Pubmed database.

PTG refers to positive psychological changes experienced as a result of a traumatic life event in order to rise to a higher level of functioning. That is to say that people experiencing psychological struggle following adversity may often see positive outcomes in the aftermath of trauma. Domains of PTG include appreciation of life, relationships with others, new possibilities in life, personal strength and spiritual change. A self-report scale, the Post-Traumatic Growth Inventory (PTGI), has been developed. PTG has been demonstrated after various traumatic events such as transport accidents, natural disasters, interpersonal violence or medical problems, with a prevalence ranging from 3 to 98% depending on the type of trauma.

The concept of resilience and some evaluation bias may have been deleterious for the development of the PTG concept in the French-speaking world. There is a need to consolidate data to understand the pathway leading to PTG, noticeably to identify factors contributing to PTG that can help to promote the growth as a new therapy for trauma.

The concept of resilience and some evaluation bias may have been deleterious for the development of the PTG concept in the French-speaking world. There is a need to consolidate data to understand the pathway leading to PTG, noticeably to identify factors contributing to PTG that can help to promote the growth as a new therapy for trauma.Computational modeling builds mathematical models of cognitive phenomena to simulate patterns of perception, decision-making, and belief updating. These models mathematically represent the information processing by combining an anterior probability distribution, a likelihood function and a set of parameters and hyperparameters. Their use popularized the conception of a nervous system functioning as a predictive machine, or "bayesian brain". Applied to psychiatry, these models seek to explain how psychiatric dysfunction may emerge mechanistically. Despite the significance of emotions for cognitive phenomena and for psychiatric disorders, few computational models offer mathematical representations of emotion or incorporate emotional factors into their modeling parameters. We present here some computational hypotheses for the modeling of affective parameters, and we suggest that computational psychiatry would benefit from these modeling parameters.

Atrial tachycardia (AT), flutter (AFL) and fibrillation (AF) are very common cardiac arrhythmias and are driven by localized sources that can be ablation targets. Non-invasive body surface potential mapping (BSPM) can be useful for early diagnosis and ablation planning. We aimed to characterize and differentiate the arrhythmic mechanisms behind AT, AFL and AF from the BSPM perspective using basic features reflecting their electrophysiology.

19 simulations of 567-lead BSPMs were used to obtain dominant frequency (DF) maps and estimate the atrial driving frequencies using the highest DF (HDF). Regions with |DF-HDF|≤1Hz were segmented and characterized (size, area); the spatial distribution of the differences |DF-atrialHDFestimate| was qualitatively analyzed. Phase singularity points (SPs) were detected on maps generated with Hilbert transform after band-pass filtering around the HDF (±1Hz). Connected SPs along time (filaments) and their histogram (heatmaps) were used for rotational activity characterization the arrhythmias and their mechanisms' location achieved balanced accuracy of 72.0% and 73.9%, respectively.

Non-invasive characterization of AT, AFL and AF based on realistic models highlights intrinsic differences between the arrhythmias, enhancing the BSPM utility as an auxiliary clinical tool.

Non-invasive characterization of AT, AFL and AF based on realistic models highlights intrinsic differences between the arrhythmias, enhancing the BSPM utility as an auxiliary clinical tool.The state-dependent Riccati equation (SDRE) method is an efficient approach to solve nonlinear optimal control problems (OCPs), but nonlinear necessary conditions for the first-order optimality are seldom met in the SDRE approach. In this paper, a state-dependent indirect pseudospectral (SDIP) technique is developed to design nonlinear optimal controllers. To preserve the nonlinearity of the system and reduce the computational cost as well, the state-dependent coefficient (SDC) parameterization technique is employed. Then the optimality conditions are derived under input and state constraints, and spectral methods are used to discretize the optimality conditions into a series of mixed linear complementarity problems (MLCPs). The developed SDIP method is able to handle the finite and infinite-horizon nonlinear OCPs in a unified framework. Numerical comparisons also verify the performance of the developed SDIP method.Uncertainties in the plant model parameters and perturbations in the controller gains imposed by implementation errors represent a challenge to ensure robust stability and controller non-fragility simultaneously. Optimal design of robust non-fragile proportional-integral-derivative (PID) controller is presented for an automatic voltage regulator (AVR). The PID design relies basically on Kharitonov theorem and optimization by future search algorithm (FSA). The proposed algorithm has low computational complexity and fast convergence rate because it utilizes both local and global search methods. Further, FSA can improve the exploration characteristic and prevent trapping in local optima by updating its random initial. The PID controller is optimized by FSA to cope with expected parametric uncertainties of the plant model and tolerate its gain perturbations such that robust stability and controller non-fragility are simultaneously met. An interval plant model is suggested to account for model uncertainties where only eight extreme plants derived by Kharitonov theorem are considered in design. FSA-based PID optimization is constrained by the stability conditions of Kharitonov's plants derived using Routh-Hurwitz. A new figure-of-demerit (FoD) based performance index is suggested to enforce simultaneous minimization of the time domain specifications. The suggested objective function is represented by a weighted sum of FoD of nominal response and the sum of reciprocals of the perturbation radii of PID gains. The output results of the recommended design are compared to that of artificial bee colony (ABC) algorithm and teaching-learning based optimization (TLBO) algorithm, multi-objective extremal optimization (MOEO), and non-dominated sorting genetic algorithm II (NSGA II). The results can confirm better response of the suggested technique measured up to other techniques where robustness and non-fragility are simultaneously ensured.

Timely surgery has been shown to impact outcome in endometrial cancer patients. Social determinants of health (SDH) are associated with adverse cancer outcomes. We sought to evaluate the association of SDH with surgical treatment indicators in endometrial cancer patients in a public healthcare system.

Endometrial cancer patients in Ontario, Canada, diagnosed between 2009 and 2017 were identified, and clinical, social and demographic variables were extracted from administrative databases. Validated community marginalization scores that include material deprivation, residential instability and ethnic concentration were used for stratification. Surgical treatment features were compared across marginalization quintiles using chi-square, Fischer exact or Wilcoxon rank sum tests as appropriate. Predictors of timely surgical treatment were evaluated with logistic regression.

20228 patients were identified of whom 14,423 had primary hysterectomy for a preoperative diagnosis of endometrial cancer. Fewer patients. This may be mediated by delayed presentation and real or perceived barriers to access. Reducing surgical wait times among marginalized cancer patients is an important deliverable in public healthcare.

Digital and conventional options for definitive impressions and for the fabrication of fixed dental prostheses (FDPs) have been compared in previous studies. However, a comprehensive review with concluding data that determined which method provided the minimal internal and marginal adaptation is lacking.

The purpose of this systematic review and meta-analysis of invivo and invitro studies was to compare the marginal and internal adaptation of complete-coverage single-unit crowns and multiunit FDPs resulting from digital and conventional impression and fabrication methods.

The review protocol was registered in International Prospective Register of Systematic Reviews (PROSPERO)and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)statement. PubMed, Cochrane Trials, Scopus, and Open Grey databases were used to identify relevant articles. Based on fixed prostheses impression and fabrication methods, groups from each study were categorized into 4 groups conventional imprs observed for the DD group (P=.001). All the compared invitro groups were similar in terms of internal adaptation.

Impression and fabrication techniques may affect the accuracy of fit of complete-coverage fixed restorations. A completely digital workflow yielded restorations with comparable or better marginal adaptation than the other methods.

Impression and fabrication techniques may affect the accuracy of fit of complete-coverage fixed restorations. A completely digital workflow yielded restorations with comparable or better marginal adaptation than the other methods.