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Action representation is a key issue in imitation learning for humanoids. With the recent finding of mirror neurons there has been a growing interest in expressing actions as a combination meaningful subparts called primitives. Primitives could be thought of as an alphabet for the human actions. In this paper we observe that human actions and objects can be seen as being intertwined: we can interp
We address the problem of unsupervised discovery of action classes in video data. Different from all existing methods thus far proposed for this task, we present a space-time link analysis approach which consistently matches or exceeds the performance of traditional unsupervised action categorization methods in various datasets. Our method is inspired by the recent success of link analysis techniq
In the area of imitation learning, one of the important research problems is action representation. There has been a growing interest in expressing actions as a combination of meaningful subparts called action primitives. Action primitives could be thought of as elementary building blocks for action representation. In this article, we present a complete concept of learning action primitives to rec
This essay recalls the concept of ‘magical thinking’ and provides a scooping description of its utilitarian value. ‘Magical thinking’ is a classic notion in cognitive anthropology, and it is seen as a utilitarian cognitive pattern that provides a platform to practice magico-religious beliefs and to build confidence in the operational efficacy of these belief practices. In cognitive psychology, mag
In 1617, after seven years of war between Sweden and Russia and talks facilitated by English and Dutch diplomats, the peace treaty of Stolbovo was signed. This important but little-studied document was to form the basis for relationships between Sweden and Russia for the next one hundred years, before it was replaced by the Peace of Nystad in 1721, and it had a huge influence on the lives of the p
Self-oscillation—the periodic change of a system under a non-periodic stimulus—is vital for creating low-maintenance autonomous devices in soft robotics technologies. Soft composites of macroscopic dimensions are often doped with plasmonic nanoparticles to enhance energy dissipation and generate periodic response. However, while it is still unknown whether a dispersion of photonic nanocrystals may
The Kalabagh strike–slip fault, which is characterized by right-lateral movement, is part of the northwestern Himalayan foreland fold and thrust belt in Pakistan. This structure marks the western and eastern terminations of the Salt Range and Surghar Ranges, respectively. No significant (>M6) earthquakes have been reported along the Kalabagh Fault in recent decades. Here, we take advantage of spac
In this work two-color laser-induced fluorescence (2c-LIF) is applied to calibrate and measure the temperature in a micrometric monodisperse ethanol droplet chain. A dye mixture of fluorescein disodium (FL) and sulforhodamine 101 (SRh) is used, in order to form a sensitive signal ratio of one temperature dependent and one independent fluorophore. Spectral and planar fluorescence detection via a fi
This article describes the mainstream global debates in the field of (anti-) corruption, discusses the main challengesto understanding and combating corruption, as well as introduces an interdisciplinary socio-legal perspective to the study of (anti-) corruption. Based on these global experiences, the article provides recommendations for developing an educational program in the field of (anti-) co
Academic debates on law and society relations in authoritarian regimes continue to revolve around issues of the dysfunctional legal system, corruption and informality, clientelistic legal culture, and how the authoritarian regimes in this region deploy law as a means for suppressing dissent. However, in this article, we argue that the legal landscape of authoritarian regimes should not be viewed f
Background The efficacy of the interception and purification mechanism for low-dose toxic contaminants in riverbeds, which serve as a link between surface water and groundwater, is of paramount importance in ensuring groundwater safety, particularly considering the replenishment of reclaimed water. The specific objective of this work is to identify the variation of interception efficiency and tran
We present a deep learning method for accurately localizing the center of a single corneal reflection (CR) in an eye image. Unlike previous approaches, we use a convolutional neural network (CNN) that was trained solely using synthetic data. Using only synthetic data has the benefit of completely sidestepping the time-consuming process of manual annotation that is required for supervised training
Considering recent developments in the energy sector, further reduction of electricity cost and flattening of the electric power demand curve are needed. We have focused on an autonomous electric heater control system that can easily be implemented in existing buildings without strict comfort requirements. Examples are winter heating of warehouses and vacation homes, and heat drying of buildings u
Cardiovascular magnetic resonance (CMR) can accurately measure left ventricular (LV) mass, and several measures related to LV wall thickness exist. We hypothesized that prognosis can be used to select an optimal measure of wall thickness for characterizing LV hypertrophy. Subjects having undergone CMR were studied (cardiac patients, n = 2543; healthy volunteers, n = 100). A new measure, global wal
Concerns about age-related biases in Artificial Intelligence (AI)’s design, development, and data generation raise alarms for potential social inequalities. AI art-generators like MidJourney, known for creating distinctive and artistic images, have gained attention recently. However, the critical examination of their potential biases remains limited. Our study aims to investigate age-related bias
