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Introduction: Treatment after Anterior Cruciate Ligament (ACL) injury includes physical therapist supervised neuromuscular training, with or without surgical reconstruction, aiming to improve patient-reported outcomes and muscle function. Despite this treatment, sensorimotor deficiencies persist, possibly constituting a contributing factor for risk of re-injury, early-onset osteoarthritis, and a l

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In robotics, there has been a growing interest in expressing actions as a combination of meaningful subparts commonly called motion primitives. Primitives are analogous to words in a language. Similar to words put together according to the rules of language in a sentence, primitives arranged with certain rules make an action. In this paper we investigate modeling and recognition of arm manipulatio

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The random distribution of features in an iris image texture allows to perform iris-based personal authentication with high confidence. We propose three new iris representations that are based on a multi-scale Taylor expansion of the iris texture. The first one is a phase-based representation that is based on binarized first and second order multi-scale Taylor coefficient. The second one is based

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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