A STUDY ON CORRELATION BETWEEN PELVIC ROTATION AND RUNNING PERFORMANCE FOR DESIGNING A RUNNING QUALITY INDEX

Today, there are many people who enjoy jogging in a regular basis. Many of them uses wearable devices to log their running time, route, etc. To improve running performance, it is important to assess running qualitatively as well. However, these devices do not assess quality of running, and do not teach users what to change and how to change in order to improve quality of running. The purpose of this study is to present correlation between pelvic rotation and running performance, experimentally, and discuss how indices can be designed to assess quality of running. For the experiment, 60 student athletes participated and run 1500 meter for two times with an accelerometer and gyro meter sensor attached to their lower back. The result shows that there is a correlation between pelvic rotation and running performance. Followed by discussion for designing the indices of running quality

The Influence of Family Caregivers’ Experience of Interprofessional Care on Their Participation in Health Checkups as Preventive Health Behavior in Japan—A Cross-Sectional Analysis

Background: The role of family caregivers has been vital, especially in superaging societies like Japan’s. The caregivers’ experience of interprofessional care is a key aspect in their evaluation of the quality of integrated care. We sought to explore whether family caregivers’ experience of interprofessional care is associated with their own participation in health checkups as preventive health behaviors. Methods: We used cross-sectional data obtained during the development of the Japanese version of the Caregivers’ Experience Instrument (J-IEXPAC CAREGIVERS). Participants who had provided care for at least one year were surveyed (n = 251). We assessed family caregivers’ experience of interprofessional care using J-IEXPAC CAREGIVERS and their participation in health checkups. Results: Multivariate logistic regression analysis revealed that the J-IEXPAC CAREGIVERS total score was significantly associated with the caregivers’ participation in health checkups [odds ratio per 1-point increase = 1.05; 95% confidence interval 1.01–1.09]. Two domain scores (attention for the patient and attention for the caregiver) of J-IEXPAC CAREGIVERS were significantly associated with the outcome. Conclusions: Family caregivers with more positive experiences of interprofessional care were more likely to participate in health checkups. These results support the significance of family caregivers’ experience of care, which may promote preventive health behaviors

Fetal topographical anatomy of the female urethra and descending vagina: a histological study of the early human fetal urethra

Background: Which parts of the male urethra correspond to the female urethra? To resolve this question, we need to understand fetal topographical changes in the urethra, its external sphincter and vagina. The vagina joins the mid-course of the primitive urethra and, later "descends" to the vaginal vestibulum. Methods: We examined histological sections of 14 female and 4 male mid-term fetuses. Results: The inferior end of the vagina was consistently embedded in the posterior wall of the urethra at 9-12 weeks. The supero-inferior level of the vaginal merging was lower in larger fetuses. Thus, the sequential variation in levels appeared to reflect the process of vaginal descent. However, in spite of penetration of the vaginal end into the posterior urethral wall, we found no sign of destruction of the urethral wall after vaginal descent in the low-merging types. Before vaginal descent, the female external sphincter extended posterolaterally around the urethra. Conclusion: The vaginal descent is classically regarded as a relative topographical change, but it is likely to be a result of elongation of the proximal urethra in the superior side of the vaginal merging. Conversely, the distal urethra is likely to be incorporated into the vaginal vestibulum by 15 weeks. During these processes, most of the female external sphincter seems to be expelled from the original anterior position into the vestibular wall as the urethrovaginal sphincter. The adult female urethra seems to correspond to the male prostatic urethra superior to the prostatic colliculus.Depto. de Anatomía y EmbriologíaFac. de MedicinaTRUEpu

Prediction of Protein Function from Tertiary Structure of the Active Site in Heme Proteins by Convolutional Neural Network

Structure–function relationships in proteins have been one of the crucial scientific topics in recent research. Heme proteins have diverse and pivotal biological functions. Therefore, clarifying their structure–function correlation is significant to understand their functional mechanism and is informative for various fields of science. In this study, we constructed convolutional neural network models for predicting protein functions from the tertiary structures of heme-binding sites (active sites) of heme proteins to examine the structure–function correlation. As a result, we succeeded in the classification of oxygen-binding protein (OB), oxidoreductase (OR), proteins with both functions (OB–OR), and electron transport protein (ET) with high accuracy. Although the misclassification rate for OR and ET was high, the rates between OB and ET and between OB and OR were almost zero, indicating that the prediction model works well between protein groups with quite different functions. However, predicting the function of proteins modified with amino acid mutation(s) remains a challenge. Our findings indicate a structure–function correlation in the active site of heme proteins. This study is expected to be applied to the prediction of more detailed protein functions such as catalytic reactions

Elucidation of the Correlation between Heme Distortion and Tertiary Structure of the Heme-Binding Pocket Using a Convolutional Neural Network

Heme proteins serve diverse and pivotal biological functions. Therefore, clarifying the mechanisms of these diverse functions of heme is a crucial scientific topic. Distortion of heme porphyrin is one of the key factors regulating the chemical properties of heme. Here, we constructed convolutional neural network models for predicting heme distortion from the tertiary structure of the heme-binding pocket to examine their correlation. For saddling, ruffling, doming, and waving distortions, the experimental structure and predicted values were closely correlated. Furthermore, we assessed the correlation between the cavity shape and molecular structure of heme and demonstrated that hemes in protein pockets with similar structures exhibit near-identical structures, indicating the regulation of heme distortion through the protein environment. These findings indicate that the tertiary structure of the heme-binding pocket is one of the factors regulating the distortion of heme porphyrin, thereby controlling the chemical properties of heme relevant to the protein function; this implies a structure–function correlation in heme proteins

Spiking network simulation code for petascale computers

Brain-scale networks exhibit a breathtaking heterogeneity in the dynamical properties and parameters of their constituents. At cellular resolution, the entities of theory are neurons and synapses and over the past decade researchers have learned to manage the heterogeneity of neurons and synapses with efficient data structures. Already early parallel simulation codes stored synapses in a distributed fashion such that a synapse solely consumes memory on the compute node harboring the target neuron. As petaflop computers with some 100,000 nodes become increasingly available for neuroscience, new challenges arise for neuronal network simulation software: Each neuron contacts on the order of 10,000 other neurons and thus has targets only on a fraction of all compute nodes; furthermore, for any given source neuron, at most a single synapse is typically created on any compute node. From the viewpoint of an individual compute node, the heterogeneity in the synaptic target lists thus collapses along two dimensions: the dimension of the types of synapses and the dimension of the number of synapses of a given type. Here we present a data structure taking advantage of this double collapse using metaprogramming techniques. After introducing the relevant scaling scenario for brain-scale simulations, we quantitatively discuss the performance on two supercomputer. We show that the novel architecture scales to the largest petascale supercomputers available today

Supercomputers ready for use as discovery machines for neuroscience

NEST is a widely used tool to simulate biological spiking neural networks. Here we explain the improvements, guided by a mathematical model of memory consumption, that enable us to exploit for the first time the computational power of the K supercomputer for neuroscience. Multi-threaded components for wiring and simulation combine 8 cores per MPI process to achieve excellent scaling. K is capable of simulating networks corresponding to a brain area with 10(8) neurons and 10(12) synapses in the worst case scenario of random connectivity; for larger networks of the brain its hierarchical organization can be exploited to constrain the number of communicating computer nodes. We discuss the limits of the software technology, comparing maximum filling scaling plots for K and the JUGENE BG/P system. The usability of these machines for network simulations has become comparable to running simulations on a single PC. Turn-around times in the range of minutes even for the largest systems enable a quasi interactive working style and render simulations on this scale a practical tool for computational neuroscience