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009). Prognostic factors identified by multivariable Cox regressions included size of tumor and metastasis at presentation. Dogs were 3× more likely to progress (P = 0.009) or 3.5× more likely to experience death (P = 0.003) at all times of follow up if they presented with metastatic disease. Similarly, every 100-cc increase in tumor volume resulted in a 5% increase in the risk of progression (P = 0.002) and death (P = 0.001) at all times of follow up. Overall, 30.8% of patients developed acute toxicities, 7.7% grade 3; 28.8% of patients developed late toxicities, 11.5% grade 3. Increased dose administered to the skin significantly affected toxicity development. SBRT serves as a viable treatment option to provide local tumor control for canine macroscopic STS, particularly those with early-stage disease and smaller tumors. The results of this study will help to define patient inclusion criteria and to set dose limits for preclinical canine STS trials involving SBRT.

oral frailty (OFr) may be called a syndrome lacking a consensus on its definition.

the aim was to prove the relationship between OFr to the phenotype of frailty, general health and nutrition in long-term care.

the FINnish ORAL Health Study in Long-Term Care study is a cross-sectional clinical research comprising findings on oral and general health and nutrition.

participants were divided into groups according to the number of OFr signs Group 1 (0-1 sign), Group 2 (2-4 signs) and Group 3 (5-6 signs).

the study includes data on 349 older residents of long-term care facilities in Helsinki, Finland.

frailty status was defined according to Fried's frailty phenotype. OFr was evaluated with six signs dry mouth, diet of pureed or soft food, residue of food on oral surfaces, unclear speech, inability to keep mouth open during the clinical oral examination and pain expression during the examination.

a significant linear relationship across the OFr groups with Fried's frailty phenotype was found (P for linearity = 0.008, adjusted by gender and age). A linear trend existed between OFr groups and general health; prevalence of dementia and malnutrition increased from Group 1 to Group 3. The need for help with eating and oral hygiene procedures increased from Group 1 to Group 3. Moreover, OFr had a linear relationship with chewing and swallowing difficulties.

OFr is related to Fried's frailty phenotype, general health, nutrition and need for help with daily activities.

OFr is related to Fried's frailty phenotype, general health, nutrition and need for help with daily activities.A. baumannii has become the leading cause of bacterial nosocomial infections in part due to its ability to resist desiccation, disinfection and antibiotics. Several factors contribute to the tenacity and virulence of this pathogen, including production of a broad range of surface glycoconjugates, secretory systems and efflux pumps. We became interested in examining the importance of trehalose in A. baumannii after comparing intact bacterial cells by high resolution magic angle spinning NMR and noting high levels of this disaccharide obscuring all other resonances in the spectrum. Since this was observed under normal growth conditions, we speculated that trehalose must serve additional functions beyond osmolyte homeostasis. Using the virulent isolate A. baumannii AB5075 and mutants in the trehalose synthesis pathway, ∆otsA and ∆otsB, we found that the trehalose-deficient ∆otsA showed increased sensitivity to desiccation, colistin, serum complement and peripheral blood mononuclear cells while trehalose-6-phosphate producing ∆otsB behaved similar to the wildtype. The ∆otsA mutant also demonstrated increased membrane permeability and loss of capsular polysaccharide. These findings demonstrate that trehalose deficiency leads to loss of virulence in A. baumannii AB5075.In genetic programming, an evolutionary method for producing computer programs that solve specified computational problems, parent selection is ordinarily based on aggregate measures of performance across an entire training set. Lexicase selection, by contrast, selects on the basis of performance on random sequences of training cases; this has been shown to enhance problem-solving power in many circumstances. Lexicase selection can also be seen as better reflecting biological evolution, by modeling sequences of challenges that organisms face over their lifetimes. Recent work has demonstrated that the advantages of lexicase selection can be amplified by down-sampling, meaning that only a random subsample of the training cases is used each generation. This can be seen as modeling the fact that individual organisms encounter only subsets of the possible environments and that environments change over time. Here we provide the most extensive benchmarking of down-sampled lexicase selection to date, showing that its benefits hold up to increased scrutiny. The reasons that down-sampling helps, however, are not yet fully understood. Hypotheses include that down-sampling allows for more generations to be processed with the same budget of program evaluations; that the variation of training data across generations acts as a changing environment, encouraging adaptation; or that it reduces overfitting, leading to more general solutions. We systematically evaluate these hypotheses, finding evidence against all three, and instead draw the conclusion that down-sampled lexicase selection's main benefit stems from the fact that it allows the evolutionary process to examine more individuals within the same computational budget, even though each individual is examined less completely.Many biological organisms regenerate structure and function after damage. Despite the long history of research on molecular mechanisms, many questions remain about algorithms by which cells can cooperate towards the same invariant morphogenetic outcomes. Therefore, conceptual frameworks are needed not only for motivating hypotheses for advancing the understanding of regeneration processes in living organisms, but also for regenerative medicine and synthetic biology. Inspired by planarian regeneration, this study offers a novel generic conceptual framework that hypothesizes mechanisms and algorithms by which cell collectives may internally represent an anatomical target morphology towards which they build after damage. Further, the framework contributes a novel nature-inspired computing method for self-repair in engineering and robotics. Our framework, based on past in vivo and in silico studies on planaria, hypothesizes efficient novel mechanisms and algorithms to achieve complete and accurate regeneration oftem cells) represent networks that perform simple neural computations and form a feedback control system. With simple and limited cellular computations, our framework minimises computation and algorithmic complexity to achieve complete recovery. We report results from computer simulations of the framework to demonstrate its robustness in recovering the organism after any injury. This comprehensive hypothetical framework that significantly extends the existing biological regeneration models offers a new way to conceptualise the information-processing aspects of regeneration, which may also help design living and non-living self-repairing agents.In order to develop systems capable of artificial evolution, we need to identify which systems can produce complex behavior. We present a novel classification method applicable to any class of deterministic discrete space and time dynamical systems. The method is based on classifying the asymptotic behavior of the average computation time in a given system before entering a loop. We were able to identify a critical region of behavior that corresponds to a phase transition from ordered behavior to chaos across various classes of dynamical systems. To show that our approach can be applied to many different computational systems, we demonstrate the results of classifying cellular automata, Turing machines, and random Boolean networks. Further, we use this method to classify 2D cellular automata to automatically find those with interesting, complex dynamics. We believe that our work can be used to design systems in which complex structures emerge. selleck chemicals llc Also, it can be used to compare various versions of existing attempts to model open-ended evolution (Channon, 2006; Ofria & Wilke, 2004; Ray, 1991).

the interrelatedness between social determinants of health impedes researchers to identify important social factors for health investment. A new approach is needed to quantify the aggregate effect of social factors and develop person- centred social interventions.

participants ([n = 7,383], 54.5% female) were aged 65years or above who complete an additional psychosocial questionnaire in the health and retirement study in 2006 or 2008. Social determinants of health encompassed five social domains economic stability, neighbourhood and physical environment, education, community and social context, and healthcare system. We used the forward stepwise logistic regression to derive a polysocial score model for 5-year mortality. Indices of goodness-of-fit, discrimination and reclassification were used to assess model performance. We used logistic regression to identify the association between polysocial score and mortality. Subgroup analyses were conducted to examine sex- and race-specific association.

polysocial score was created using 14 social determinants of health. In the training cohort, the C-statistic was 0.71 for the reference model (only age, sex and race/ethnicity) and increased to 0.75 for the continuous and categorical polysocial score. Compared with the reference model, the integrated discrimination index for adding the continuous or categorical polysocial score was both 0.03 (P values < 0.001). Participants with an intermediate (odds ratio [OR] = 0.69; 95% confidence interval [CI], 0.51-0.82) or high (OR = 0.48; 95% CI, 0.38-0.60) polysocial score had lower odds of death than those in the low category in the fully adjusted model, respectively.

the polysocial approach may offer possible solutions to monitor social environments and suggestions for older people to improve their social status for specific health outcomes.

the polysocial approach may offer possible solutions to monitor social environments and suggestions for older people to improve their social status for specific health outcomes.

When health promotion efforts intend to include African American men, they experience challenges with recruitment and retention, in addition to limited cultural saliency-interventions that do not align the cultural preferences and experiences of the target population produce less effective results.

This scoping review provides an understanding of (a) how health promotion efforts among African American men are developed and implemented, in addition to the (b) main outcomes, (c) retention rates, and (d) methodological rigor of those efforts.

The following databases were used PubMed, EMBASE (Ovid), PsycINFO (EBSCO), CINAHL (EBSCO), Web of Science (Clarivate), and ProQuest. Included studies were restricted to those (a) conducted among African American men and (b) reported the effects of a health promotion intervention. Interventions using single-group pre-post study, post-test-only study, non-randomized controlled trial, and randomized controlled trial (RCT) study designs were included.

The results indicate that varying degrees of customization in the design and implementation of health promotion efforts targeting African American can improve recruitment, retention, and health-related outcomes.