Rubber elastic theory describes the relationship between microscopic chain structure and macroscopic mechanical properties of soft network polymers, such as elastomers gels. When deformation exceeds a certain threshold, formation extended chains induces hardening failure materials, which has been tackled by experiments involving measurement techniques mechanochemistry. However, concerns connectivity behavior hardly described. Herein, we demonstrate quantification based on complex science to...

We examined the role of postural control in a skilled task that requires perceptual-motor coordination, kendama trick "Swing-in," which uses moving ball on string. Four expert and 4 novice players participated, each performing 200 trials Swing-in. The head knee movements experts were more extensive than those novices, ball, as well maintained same patterns longer novices. At end trial, distances between group consistent group, but 2 skill groups showed similar variability distance ball....

Individuals often refer to opinions of others when they make decisions in the real world. Our question is how people’s reference structure self-organizes people try provide correct answers by referring more accurate agents. We constructed an adaptive network model, which each node represents agent and directed link a reference. In every iteration round within our makes decision sequentially following majority partners’ rewires partner if partner’s performance falls below given threshold. The...

The spatial distribution of a population is not homogeneous---some areas attract many residents, while others do not. stores and facilities that have been coevolving with the also heterogeneous. Previous studies shown multifractality characteristic population, as well other quantities associated urban system. We found stores/facilities belonging to some categories exhibit in distribution. quantified distributions each category by multifractal analysis compared their properties. Multifractal...

Transactions in financial markets are not evenly spaced but can be concentrated within a short period of time. In this study, we investigated the factors that determine transaction frequency markets. Specifically, employed Hawkes process model to identify exogenous and endogenous forces governing transactions individual stocks Tokyo Stock Exchange during COVID-19 pandemic. To enhance accuracy our analysis, introduced novel EM algorithm for estimation specifically addresses interdependence...

Abstract In recent years, Taylor’s law describing the power function relationship between mean and standard deviation of certain phenomena has found an increasing number applications. We studied characteristics for branded product sales using point-of-sale (POS) data brands sold in 72 grocery stores Greater Tokyo area. A previous study that follow with a scaling exponent 0.5 low quantities 1.0 large quantities. current study, we observed cross-over 54 estimated value two coefficients...

Previous studies on elastomers have revealed that the physical property of can be affected by topological feature their network structure. In paper, for simulation data construction and elongation elastomers, we analyzed weighted structure each elastomer, where node is a crosslinking point distance between points incorporated into weight link. We derived centrality link based idea closeness in complex networks. found how changes during was significantly concentration under which reaction...

This study focuses on the perceptual skills used when playing kendama, a toy with ball, string, and handle. It examines visual information required for guiding head handle movements during “swing-in” catching maneuver determines whether information-based strategies such as canceling rate of change α (the optical depression angle from horizon) or cot (optical acceleration), using tau coupling, combination thereof, could be applied to this empirical task. The regressions both time are found...

In cheminformatics, network representations of the space compounds have been suggested extensively. Among these, threshold-network consists nodes representing molecules. this representation, two molecules are connected by a link if Tanimoto coefficient, similarity measure, between them exceeds preset threshold. However, topology is affected significantly study, we collected data biologically relevant and bioactivities. We defined weighted where weight each equals coefficient bioactive...

Currently in Japan, summaries of the number bankruptcies due to spread COVID-19 can only be obtained from surveys conducted by a few research firms targeting particular companies. In this study, we used Japanese telephone directory data containing detailed information on location and industrial category stores/facilities nationwide an effort infer influence businesses Japan. We analyzed temporal change stores before after outbreak. Among other findings, analysis revealed that travel agencies...

Abstract The relationship between culture and the appeals in TV advertisements has been extensively studied. We attempted to reveal image structure produced by commercials Japan, which may show cultural features of country, evaluate its temporal change. For this purpose, we constructed analysed a co-occurrence network keywords related using immense data that include records all aired Kanto area Japan including Tokyo for period 15 years. found strong heterogeneity relationship, where few...

Crystalline polymers have a hierarchical structure in which polymer chains are folded. Although each strongly affects the physical properties of crystalline polymers, it is hard to describe relationship between formation conditions, crystal and properties. We used Random Forest regression comprehensively investigate these features polylactic acid (PLA), biodegradable polymer. It was suggested that important for mechanical property biodegradability, where trade-off them significant issue PLA,...

Aggregation of opinions often results in high decision-making accuracy, owing to the collective intelligence effect. Studies on group decisions have examined optimum weights for opinion aggregation maximise accuracy. In addition opinions, impact correlation among is a major issue decision-making. We investigated how individuals should weigh others and their own accuracy sequential our model, each person makes primary choice, observes his/her predecessors’ final which person’s answer...

In this study, we attempted to quantify the shape of various metastable morphologies microphase separation in block copolymers that can be observed a computer simulation under same condition as for double gyroid (stable state). For quantification, used multifractal analysis, which is tool evaluate having heterogeneous density inside it. Our analysis showed indicators relating structures are distributed far from gyroid.

Multifractality is one of the patterns observed in spatial distributions populations. In this study, we performed multifractal analysis for populations by age group capital area Japan. Each population generally exhibited property densely populated locations being relatively connected to each other. We also investigated dependence multifractality on group. Multifractal measures showed that consisting young working-age people exhibits strong heterogeneity and concentration population, while...

In this study, we attempted to quantify the shape of various metastable structures microphase separation ABA triblock copolymers that can be observed in a computer simulation. For quantification, focused on domains where volume fraction B (or A) is greater than preset threshold, and defined measure indicates how size largest connected component such decreases as threshold increases. The value was strongly correlated with free energy structures.

The simulation to obtain stress-strain curves of block copolymers requires large computational resources. As an alternative simulation, a method for high-throughput prediction using three-dimensional convolutional neural network has been reported. In this study, we incorporated shortcut coupling into the and performed pre-training transfer learning in step-by-step manner successfully predict curve with high accuracy while reducing training cost.