The aim of this study is to examine the association of the combined indices of respiratory sinus arrhythmia at rest (basal RSA) and in response to a mental arithmetic task (RSA reactivity) to internet addiction. Participants included 99 young adults (61 men and 38 women) who reported on their levels of internet addiction. The results indicated that RSA reactivity moderated the association between basal RSA and self-reported internet addiction. This showcased that basal RSA had a negative association with internet addiction for individuals with higher RSA reactivity but had no significant association with internet addiction for those with lower RSA reactivity. These findings help to extend our understanding of the link between the parasympathetic nervous systems activity and internet addiction. Additionally, it underscores the need for the simultaneous consideration of basal RSA and RSA reactivity in future studies. Before using estimators, it is essential to consider their efficiency in order to avoid bias in results. Due to the architectural and structural complexity of spider webs, some important variables involved in prey capture are usually estimated based on a few measurements obtained from photographs. One of these variables is the capture thread length (CTL), which can provide valuable information on foraging behaviours and the energetic investment in prey capture. However, many of the webs found in the field are damaged, and there is no automatic method to measure the CTL. Therefore, the determination of a simple and accurate estimator of this variable is important to several studies involving spider foraging strategies. In this study, we assessed the accuracy of traditional and new CTL estimators and their vulnerability to web shape and asymmetry. Our results validated the accuracy of the previous estimators. However, we also presented a simple new estimator that can be even more accurate, irrespective of whether the webs exhibit circular shapes or asymmetry in thread investment between superior and inferior web parts. Moreover, we presented an accurate CTL estimator for non-circular orb webs, for which the traditional ones are not applicable. This paper proposes an approach for visualizing individuality and inter-individual variations of human brain oscillations measured as multichannel electroencephalographic (EEG) signals in a low-dimensional space based on manifold learning. Using a unified divergence measure between spectral densities termed the “beta-divergence”, we introduce an appropriate dissimilarity measure between multichannel EEG signals. Then, t-distributed stochastic neighbor embedding (t-SNE; a state-of-the-art algorithm for manifold learning) together with the beta-divergence based distance was applied to resting state EEG signals recorded from 100 healthy subjects. We were able to obtain a fine low-dimensional visualization that enabled each subject to be identified as an isolated point cloud and that represented inter-individual variations as the relationships between such point clouds. Furthermore, we also discuss how the performance of the low-dimensional visualization depends on the beta-divergence parameter and the t-SNE hyper parameter. Finally, borrowing from the concept of locally linear embedding (LLE), we propose a method for projecting the test sample to the t-SNE space obtained from the training samples and investigate that availability. Visual vertical (VV), visually perceived direction of gravity, is widely measured to assess the vestibular function and visuospatial cognition. VV has been assessed by comparing orientation and variability of measured values separately between subject groups. However, changes in orientation and variability often differ in patients with unilateral spatial neglect (USN). Here, we developed a novel classification of VV that combines orientation and variability and characterized the effects of USN on VV. Monocrotaline mw Forty-three subacute stroke patients with or without USN (USN+, n = 17; USN-, n = 26) and 33 age-matched controls were included in the study. In darkness, a luminous line, initially tilted at 30° either to the left or right, gradually rotated towards the vertical. The VV was defined as the deviation of the subjectively-perceived vertical from the true vertical. The new classification demonstrated that, while the majority of USN + patients (14/17) exhibited large variability, nine showed normal orientation and five showed greater contra-lesional deviation of orientation, suggesting different underlying mechanisms for orientation and variability. Further analyses revealed VV deviation to the initial tilt in all groups. However, the deviation in USN + was larger and more variable, indicating attentional disorders. Such characterization would contribute to individually specified clinical rehabilitation. We attempted to create a mathematical model for neuronal differentiation. The present study was performed within the framework of self-organization with constraints by looking for an optimized informational unit. We treated networks of individual dynamical system units with an external input, which was provided by coupled one-dimensional maps with possible forms of unidirectionally feed-forward network, random network, small-world network, and fully-connected network. We used a genetic algorithm to maximize the information transmission for each type of network. Optimized maps were obtained depending on the coupling strength and network structure. These maps can be classified into three types passive, excitable, and oscillatory. In particular, the excitable and oscillatory types of dynamical systems possess characteristics that are quite similar to those of neurons, whereas the passive and oscillatory types of dynamical system may represent glial cells. Cardiovascular disease (CVD) is a major cause of morbidity among people living with HIV (PLWH). Statins can safely and effectively reduce CVD risk in PLWH, but evidence-based statin therapy is under-prescribed in PLWH. Developed using an implementation science framework, INcreasing Statin Prescribing in HIV Behavioral Economics REsearch (INSPIRE) is a stepped-wedge cluster randomized trial that addresses organization-, clinician- and patient-level barriers to statin uptake in Los Angeles community health clinics serving racially and ethnically diverse PLWH. After assessing knowledge about statins and barriers to clinician prescribing and patient uptake, we will design, implement and measure the effectiveness of (1) educational interventions targeting leadership, clinicians, and patients, followed by (2) behavioral economics-informed clinician feedback on statin uptake. In addition, we will assess implementation outcomes, including changes in clinician acceptability of statin prescribing for PLWH, clinician acceptability of the education and feedback interventions, and cost of implementation.