22 papers · ranked by Valyu relevance
Celia A Brown, Richard J Lilford
Background Stepped wedge randomised trial designs involve sequential roll-out of an intervention to participants (individuals or clusters) over a number of time periods. By the end of the study, all participants will have received the intervention, although the order in which participants receive the intervention is…
Takumi Kitsukawa, Katsutoshi Miura, Shigeki Yumoto, Sarthak Pathak + 2 more
'Alessandro Moro' 'Kazunori Umeda'] In this paper, a progress recognition method consider occlusion using deep metric learning is proposed to visualize the product assembly process in a factory. First, the target assembly product is detected from images acquired from a fixed-point camera installed in the factory using…
Ngoc-Huynh Ho, Phuc Huu Truong, Gu-Min Jeong, Angelo Maria Sabatini
We propose a walking distance estimation method based on an adaptive step-length estimator at various walking speeds using a smartphone. First, we apply a fast Fourier transform (FFT)-based smoother on the acceleration data collected by the smartphone to remove the interference signals. Then, we analyze these data…
James M. Osborne
In recent years, multi–cellular models, where cells are represented as individual interacting entities, are becoming ever popular. This has led to a proliferation of novel methods and simulation tools. The first aim of this paper is to review the numerical methods utilised by multi–cellular modelling tools and to…
Bardia Panahbehagh, Raphaël Jauslin, Yves Tillé
A new unequal probability sampling method is proposed. This method is sequential. The decision to select or not each unit is made based on the order in which the units appear. A variant of this method allows to select a sample from a stream. At each step, the decision to take the units successively according to the…
Srikesh G. Arunajadai, Wei Cheng, Pratul K. Agarwal
Single-molecule real time trajectories are embedded in high noise. To extract kinetic or dynamic information of the molecules from these trajectories often requires idealization of the data in steps and dwells. One major premise behind the existing single-molecule data analysis algorithms is the Gaussian ‘white’ noise…
Sadie Piatt, Allen C. Price
The Generalized Method of Moments (GMM) is a statistical method for the analysis of samples from random processes. First developed for the analysis of econometric data, the method is here formulated to extract hidden kinetic parameters from measurements of single molecule dwell times. Our method is based on the…
Jonathan B. Dingwell, Anna C. Render, David M. Desmet, Joseph P. Cusumano
People rarely walk in straight lines. Instead, we make frequent turns or other maneuvers. Spatiotemporal parameters fundamentally characterize gait. For straight walking, these parameters are well-defined for that task of walking on a straight path. Generalizing these concepts to non-straight walking, however, is not…
Weiliang Chen, Tristan Carel, Omar Awile, Nicola Cantarutti + 11 more
Recent advances in computational neuroscience have demonstrated the usefulness and importance of stochastic, spatial reaction-diffusion simulations. However, ever increasing model complexity renders traditional serial solvers, as well as naive parallel implementations, inadequate. This paper introduces a new generation…
Alex Rojewski, Maxwell Schweiger, Ioannis Sgouralis, Matthew Comstock + 1 more
Noisy time-series data is commonly collected from sources including Förster Resonance Energy Transfer experiments, patch clamp and force spectroscopy setups, among many others. Two of the most common paradigms for the detection of discrete transitions in such time-series data include: hidden Markov models (HMMs) and…
Nikita Dvornik, Isma Hadji, Ran Zhang, Konstantinos G. Derpanis + 3 more
'Animesh Garg' 'Richard P. Wildes' 'Allan D. Jepson'] Instructional videos are an important resource to learn procedural tasks from human demonstrations. However, the instruction steps in such videos are typically short and sparse, with most of the video being irrelevant to the procedure. This motivates the need to…
Anne D. Kloos, Deb A. Kegelmeyer, Katherine Ambrogi, David Kline + 4 more
Stair ambulation is one of the more challenging motor activities of daily life. The ability to safely negotiate steps is an important component of the abilities needed to maintain mobility and independence both in the home and community. A recent study based on a large National Health Interview Survey identified stairs…
Yansong Tang, Jiwen Lu, Jie Zhou
—Thanks to the substantial and explosively inscreased instructional videos on the Internet, novices are able to acquire knowledge for completing various tasks. Over the past decade, growing efforts have been devoted to investigating the problem on instructional video analysis. However, the most existing datasets in…
Yiwu Zhong, Licheng Yu, Yang Bai, Shangwen Li + 2 more
The abundance of instructional videos and their narrations over the Internet offers an exciting avenue for understanding procedural activities. In this work, we propose to learn video representation that encodes both action steps and their temporal ordering, based on a large-scale dataset of web instructional videos…
Samuel Genheden, Esben Bjerrum
We introduce a framework for benchmarking multi-step retrosynthesis methods, i.e. route predictions, called PaRoutes. The framework consists of two sets of 10,000 synthetic routes extracted from the patent literature, a list of stock compounds, and a curated set of reactions on which one-step retrosynthesis models can…
Markus Pfeil, Thomas Slawig
The reduction of the computational effort is desirable for the simulation of marine ecosystem models. Using a marine ecosystem model, the assessment and the validation of annual periodic solutions (i.e., steady annual cycles) against observational data are crucial to identify biogeochemical processes, which, for…
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…
Keisuke Ozawa
Statistically weighted principal component analysis (wPCA) is widely used to reduce the noise of scanning transmission electron microscopy-energy-dispersive X-ray (STEM-EDX) spectroscopy data. It is beneficial to retain the spatial resolution of observation in each step of the analysis, but the direct application of…
Maan Khedr, Nasser El-Sheimy
The growing market of smart devices make them appealing for various applications. Motion tracking can be achieved using such devices, and is important for various applications such as navigation, search and rescue, health monitoring, and quality of life-style assessment. Step detection is a crucial task that affects…
Petr Kuzmic
The mathematics and geometry of the "kobs" method under the tight-binding experimental conditions, when inhibitor depletion is significant, has not been fully explored in the existing biochemical kinetic literature. It is shown here that under tight-binding conditions a plot of the pseudo-first order rate constant…
Eduardo C. Latorre, Marcos D. Zuniga, Enrique Arriaza, Fabian Moya + 1 more
'Christopher Nikulin'] In collective sports, reactive agility training methodologies allow to evaluate and improve the player performance, being able to consider a mixture of technical, tactical, physical, and psychological abilities, similarly to real game-play situations. In this article, we present a new methodology…
Wenyu Zhang, Mason Guy, Jerrica Yang, Lucy Hao + 5 more
Large Language Models (LLMs) have revolutionized numerous industries as well as accelerated scientific research. However, their application in planning and conducting experimental science, has been limited. In this study, we introduce an adaptable prompt-set with GPT-4, converting literature experimental procedures…