Coblerohde4558

Ultimately, success will depend on our ability to articulate, encourage, support, and evaluate system citizenship and its impact on health care and health care systems.Yoga is sometimes interpreted as medical therapy and the evidence from biomedical research indicates that it can be useful in a broad range of health conditions. Yoga, however, can also be pursued as a process-oriented contemplative practice. This article draws on participant observation-based research with yoga practitioners at two hospitals, one in Pondicherry, India, and one in Fukui, Japan. It explores how patients and their families at these healthcare institutions are invited to move without anticipating an outcome and to cultivate attitudes such as contentment and non-violence. Taking cues from research participants' approaches to yoga as a skill and from anthropological understandings of skill, yoga is considered here as a capacity of moving with awareness. A skill-based approach allows practitioners to try out yogic techniques according to their personal abilities and needs. The analysis suggests that, in the contexts discussed, yoga practitioners pursue wellbeing not as an individual therapeutic goal but as mutual explorative learning.Accurate detection of N6-methyladenine (6mA) sites by biochemical experiments will help to reveal their biological functions, still, these wet experiments are laborious and expensive. Therefore, it is necessary to introduce a powerful computational model to identify the 6mA sites on a genomic scale, especially for plant genomes. In view of this, we proposed a model called iDNA6mA-Rice-DL for the effective identification of 6mA sites in rice genome, which is an intelligent computing model based on deep learning method. Traditional machine learning methods assume the preparation of the features for analysis. However, our proposed model automatically encodes and extracts key DNA features through an embedded layer and several groups of dense layers. We use an independent dataset to evaluate the generalization ability of our model. An area under the receiver operating characteristic curve (auROC) of 0.98 with an accuracy of 95.96% was obtained. The experiment results demonstrate that our model had good performance in predicting 6mA sites in the rice genome. A user-friendly local web server has been established. The Docker image of the local web server can be freely downloaded at https//hub.docker.com/r/his1server/idna6ma-rice-dl.DNA-binding proteins (DBPs) perform an influential role in diverse biological activities like DNA replication, slicing, repair, and transcription. Some DBPs are indispensable for understanding many types of human cancers (i.e. lung, breast, and liver cancer) and chronic diseases (i.e. AIDS/HIV, asthma), while other kinds are involved in antibiotics, steroids, and anti-inflammatory drugs designing. These crucial processes are closely related to DBPs types. DBPs are categorized into single-stranded DNA-binding proteins (ssDBPs) and double-stranded DNA-binding proteins (dsDBPs). Few computational predictors have been reported for discriminating ssDBPs and dsDBPs. However, due to the limitations of the existing methods, an intelligent computational system is still highly desirable. In this work, features from protein sequences are discovered by extending the notion of dipeptide composition (DPC), evolutionary difference formula (EDF), and K-separated bigram (KSB) into the position-specific scoring matrix (PSSM). The highly intrinsic information was encoded by a compression approach named discrete cosine transform (DCT) and the model was trained with support vector machine (SVM). The prediction performance was further boosted by the genetic algorithm (GA) ensemble strategy. The novel predictor (DBP-GAPred) acquired 1.89%, 0.28%, and 6.63% higher accuracies on jackknife, 10-fold, and independent dataset tests, respectively than the best predictor. These outcomes confirm the superiority of our method over the existing predictors.Viral infection is a complicated dynamic process, in which viruses intrude into cells to duplicate themselves and trigger succeeding biological processes regulated by genes. check details It may lead to a serious disaster to human's health. A scheme is proposed to monitor the response of cells after being infected by viruses. Co-expression levels of genes measured at successive time points form a gene expression profile sequence, which is mapped to a temporal gene regulatory network. The fission and fusion of the communities of the networks are used to find the active parts. We investigated an experiment of injection of flu viruses into a total of 17 healthy volunteers, which develop into an infected group and a survival group. The survival group is much more chaotic, i.e. there occur complicated fissions and fusions of communities over the whole network. For the infected group, the most active part of the regulatory network forms a single community, but it is included in one of the large communities and completely conservative in the survival group. There are a total of six and seven genes in the active structure that take part in the Parkinson's disease and the ribosome pathways, respectively. Actually, a total of 30 genes (covering [Formula see text]) of the genes in the active structure participate in the neuro-degeneration and its related pathways. This scheme can be extended straightforwardly to extract characteristics of trajectories of complex systems.The study aims to describe anthropometric data of Greenlandic preschool children, blood pressure (BP) measures and effects of maternal smoking during pregnancy in a follow-up of the ACCEPT birth cohort. The study included 102 children (55 boys and 47 girls) aged 3.5-5.5 years. Anthropometric measures included weight, height, head circumference (HC), body mass index (BMI), waist and hip circumference, ratio for height/weight, waist/height, waist/hip and BP measurements. Overweight and obesity-prevalence was determined using the international obesity task force BMI references for children. Significant increases in anthropometrics from 3.5 to 5.5 years included weight, height, HC and hip circumference, whereas ratio for height/weight, waist/hip and waist/height decreased. Boys had significantly larger HC than girls. The prevalence of overweight and obesity was similar (35.1%) between genders. Mean systolic and diastolic BP were 104 and 68 mmHg, respectively. Children of mothers smoking during pregnancy had higher hip circumference, lower waist/hip ratio and higher diastolic BP.