19 papers · ranked by Valyu relevance
Apolinar Velarde Martinez, Gilberto Gonzalez Rodriguez, Yuwei Wang, Juan Liao + 2 more
Scientific studies have demonstrated how certain insect species can be used as bioindicators and reverse environmental degradation through their behavior and organization. Studying these species involves capturing and extracting hundreds of insects from a colony for subsequent study, analysis, and observation. This…
Piotr Wozniak, Paweł Penar, Damian Bielecki, Roberto Vezzani
In this paper, we present a stair detection algorithm verified on various platforms, including a real quadruped robot. The proposed approach detects dangerous situations, such as proximity to stairs, in real time, enabling the robot to move safely. In our research, we utilized data collected by a moving four-legged…
Shiori Takeshige, Jamie M Kass, Gota Yajima, Yusaku Ohkubo
Understanding animal movement behavior is essential for conservation and elucidating various ecological processes. In particular, assessing habitat suitability is a central theme in movement ecology, traditionally evaluated by estimating travel distances per unit time across diverse environmental conditions based on…
Maksymilian Kisiel, Arslan Amjad, Agnieszka Szczęsna, Marco Iosa
Step detection based on measurements of inertial measurement units (IMUs) is fundamental for human activity recognition, indoor navigation, and health monitoring applications. This study validates and compares five fundamentally different step detection algorithms for potential implementation on edge devices. A…
Kazuma Miura, Sarthak Pathak, K. Umeda
In recent years, the advancement of AI technologies has accelerated the development of smart factories. In particular, the automatic monitoring of product assembly progress is crucial for improving operational efficiency, minimizing the cost of discarded parts, and maximizing factory productivity. However, in cases…
Schoonbeek, Tim J., Hung, Shao-Hsuan + 10 more
Procedure step recognition (PSR) aims to identify all correctly completed steps and their sequential order in videos of procedural tasks. The existing state-of-the-art models rely solely on detecting assembly object states in individual video frames. By neglecting temporal features, model robustness and accuracy are…
Yu Fang, Xinyu Wang, Xuehe Zhang, Wanli Xue + 3 more
—The wide application of flow-matching methods has greatly promoted the development of robot imitation learning. However, these methods all face the problem of high inference time. To address this issue, researchers have proposed distillation methods and consistency methods, but the performance of these methods still…
Rudra Prakash, Shaunak Sen
The paper addresses the critical challenge of accurately characterising steady states in biomolecular systems, which are often complex, nonlinear, multistable and subject to significant uncertainties. Traditional numerical methods often fail to provide complete or guaranteed solutions under these conditions. To…
Yoginath Ganditi, Mani S. Chilakala, Zahra Najafi, Mohammed E. Eltayeb + 2 more
Gait is a sensitive marker of mobility decline and fall risk, motivating unobtrusive sensing methods that can extract spatiotemporal parameters outside specialized gait laboratories. This paper presents a physics-based comparison of two millimeter-wave frequency-modulated continuous-wave (FMCW) radar deployment…
Authors not listed
Two kinetic schemes of the general modifier mechanism have been analysed in a quasi-steady state approximation, assuming that the reaction product concentration is negligible (a natural assumption for the initial rate method) and without additional simplifying assumptions. The characteristic equations have been…
Nidhi Pai, Yu Lu, Kristin A. Linn, Erjia Cui
Physical activity (PA) intervention studies often collect repeated intensity measurements over long observation periods. Quantifying the variation in intervention effects over the study period is critical to evaluating and improving intervention strategies, yet many analyses reduce PA data into scalar summary measures…
Wataru Kyomoto, Yoichi Nakao, Kana Yamamoto
Synthetic access to the polyketide fragment of Apratoxin, a biologically active cyclodepsipeptide, has been studied by several groups, with reported routes requiring over 12 steps to achieve high stereoselectivity or as few as 6 steps with compromised selectivity. Herein, we report a streamlined 9-step synthesis of the…
Tianmei Wang, LiJuan Zhang, Liya Ma, Xiaodong Luo + 1 more
Objectives As a reproductive-metabolic disorder, lifestyle interventions play a crucial role in managing Polycystic Ovary Syndrome (PCOS) patients. However, maintaining physical activity in PCOS patients is often challenging. Daily steps are now widely used to provide relatively simple physical activity goals for the…
Roland Stenger, Hawzhin Hozhabr Pour, Jonas Teich, Andreas Hein + 2 more
Changes in gait are associated with an increased risk of falling and may indicate the presence of movement disorders related to neurological diseases or age-related weakness. Continuous monitoring based on inertial measurement unit (IMU) sensor data can effectively estimate gait parameters that reflect changes in gait…
Authors not listed
A significant advancement in Merrifield’s classic solid-phase peptide synthesis (SPPS) that greatly expands the scope of accessible peptide structures is reported here. Building upon the one-bead, one-compound concept, this approach enables the simultaneous synthesis of multiple peptides on a single bead, followed by a…
Authors not listed
Knowledge of the reaction rate constants can be vital in understanding electrochemical reaction mechanisms and their rate-determining processes. Although first-principles methods, such as density functional theory (DFT), provide valuable insight into reaction free energies and rate constants, they commonly use…
Shiyue Li, Yiling Wang, Zhanpeng Shu, Ramon Grima + 2 more
Biochemical reactions are inherently stochastic, with their kinetics commonly described by chemical master equations (CMEs). However, the discrete nature of molecular states renders likelihood-based parameter inference from CMEs computationally intensive. Here, we introduce an inference method that leverages analytical…
Authors not listed
Collective variables (CVs) are essential for interpreting and accelerating rare events in molecular simulations. However, their design remains limited by the requirement of differentiability with respect to atomic coordinates. This constraint excludes many powerful structural descriptors that are routinely used for…
Ashwini Kulkarni, Chuyi Cui, Shirley Rietdyk, Satyajit Ambike
Older adults sustain disproportionately severe injuries from trip-induced falls during obstacle crossing. Such falls depend partly on forward momentum when the foot crosses the obstacle. MOS_AP_, an index of passive dynamic gait stability, reflects this momentum. We quantified MOS_AP_ and a synergy index from…