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Analysis of Moisture and Sebum of the Skin for Monitoring Wound Healing in Older Nursing Home Residents

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Analysis of Moisture and Sebum of the Skin for Monitoring Wo...

AHFE Virtual Conference on Physical Ergonomics and Human Factors, the Virtual Conference on Social and Occupational Ergonomics, and the Virtual Conference on Cross-Cultural Decision Making, 2020

作者： Shen, Wei-Cheng Jan, Yih-Kuen Lung, Chi-Wen Anastian, Aqo Hsieh, Chang-Wei Cheng, Hsu-Tang Liao, Yin-Yin Liau, Ben-Yi Department of Digital Media Design Asia University Taichung Taiwan Rehabilitation Engineering Lab University of Illinois at Urbana-Champaign ChampaignIL United States Kinesiology and Community Health University of Illinois at Urbana-Champaign ChampaignIL United States Computational Science and Engineering University of Illinois at Urbana-Champaign ChampaignIL United States Department of Creative Product Design Asia University Taichung Taiwan Information Systems Study Program Department of Mathematics Universitas Airlangga Surabaya Indonesia Department of Photonics and Communication Engineering Asia University Taichung Taiwan Division of Plastic Surgery Asia University Hospital Taichung Taiwan Department of Biomedical Engineering Hungkuang University Taichung Taiwan

ISBN: (纸本)9783030515485

Pressure ulcers are a common problem among older nursing home residents. Wound healing monitoring in these older residents causes intensive significant workload for nurses. Moisture and sebum of the skin are critical factors during wound healing which can observations for nurses quick and handy. The purpose of this study was to investigate the relation between moisture and sebum of the skin during wound healing in older people. The data of moisture and sebum was observed for four times in sequence biweekly from the sacrum region of eighteen subjects. Based on the wound healing status, the subjects were grouped into the wound healing, wound non-healing, and non-wound groups. The wound area was calculated by manually tracing the wound area in captured images using the Image-J. Ulcer area were median correlation with moisture (r =.61) and sebum (r = −.60) in the wound healing group. The moisture was also significantly correlated with sebum (r =.89, p © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Moisture

Interplay between k-core and community structure in complex networks

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arXiv 2020年

作者： Malvestio, Irene Cardillo, Alessio Masuda, Naoki Department of Engineering Mathematics University of Bristol BristolBS8 1UB United Kingdom Department of Computer Science and Mathematics University Rovira i Virgili TarragonaE-43007 Spain University of Zaragoza ZaragozaE-50018 Spain Department of Mathematics University at Buffalo BuffaloNY14260-2900 United States Computational and Data-Enabled Science and Engineering Program University at Buffalo State University of New York BuffaloNY14260-5030 United States

The organisation of a network in a maximal set of nodes having at least k neighbours within the set, known as k-core decomposition, has been used for studying various phenomena. It has been shown that nodes in the innermost k-shells play a crucial role in contagion processes, emergence of consensus, and resilience of the system. It is known that the k-core decomposition of many empirical networks cannot be explained by the degree of each node alone, or equivalently, random graph models that preserve the degree of each node (i.e., configuration model). Here we study the k-core decomposition of some empirical networks as well as that of some randomised counterparts, and examine the extent to which the k-shell structure of the networks can be accounted for by the community structure. We find that preserving the community structure in the randomisation process is crucial for generating networks whose k-core decomposition is close to the empirical one. We also highlight the existence, in some networks, of a concentration of the nodes in the innermost k-shells into a small number of communities. Copyright © 2020, The Authors. All rights reserved.

关键词： Complex networks

Hypothetical scenarios for circular bioeconomy preferences in the Bali metropolitan area

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Waste Management Bulletin

Waste Management Bulletin 2025年第3期3卷

作者： Koko Suryawan, I Wayan Suhardono, Sapta Rahman, Ari Thuy Phan, Thi Thanh Lee, Chun-Hung Department of Environmental Engineering Faculty of Infrastructure Planning Universitas Pertamina Jalan Sinabung II Terusan Simprug Jakarta 12220 Indonesia Department of Natural Resources and Environmental Studies College of Environmental Studies and Oceanography National Dong Hwa University Hualien 97401 Taiwan Center for Environmental Solution (CVISION) Universitas Pertamina Jalan Sinabung II Terusan Simprug Jakarta 12220 Indonesia Center for Interdisciplinary Research on Ecology and Sustainability College of Environmental Studies and Oceanography National Dong Hwa University Hualien 97401 Taiwan Environmental Sciences Study Program Faculty of Mathematics and Natural Sciences Universitas Sebelas Maret Surakarta 57126 Indonesia Faculty of Natural Resources & Environment Dong Nai Campus Vietnam National University of Forestry Dong Nai Bien Hoa 810000 Viet Nam

This study investigates the preferences and willingness of residents, including local and foreign residents, in the Bali metropolitan area to participate in various waste management initiatives aimed at promoting a circular bioeconomy. Bali, a major tourist center in the Global South, presents unique challenges and opportunities for sustainable waste management. Using a choice experiment framework, we explored preferences for managing paper, food, and garden waste through different scenarios. Scenario 1 focused on collecting and separating waste to support existing infrastructure, Scenario 2 emphasized source reduction and participation, and Scenario 3 integrated a comprehensive circular economy approach. The study reveals significant support for comprehensive waste management practices, with high marginal willingness to participate values for initiatives such as collecting and processing paper waste for energy conversion, independent composting of food waste, and community-based composting of garden waste. These findings highlight the importance of community engagement and tailored strategies in developing sustainable waste management programs. The results provide valuable insights for policymakers and stakeholders to design effective circular bioeconomy policies that enhance local economic self-sufficiency and contribute to sustainable development goals. © 2025 The Authors

关键词： Circular bioeconomy Community engagement Environmental sustainability Waste management Waste-to-value initiatives

Linking machine learning with multiscale numerics: Data-driven discovery of homogenized equations

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arXiv 2020年

作者： Arbabi, Hassan Bunder, Judith E. Samaey, Giovanni Roberts, Anthony J. Kevrekidis, Ioannis G. Department of Mechanical Engineering Massachusetts Institute of Technology Department of Chemical and Biomolecular Engineering Johns Hopkins University United States School of Mathematical Sciences University of Adelaide Australia Computer Science Department KU Leuven Belgium Departments of Chemical and Biomolecular Engineering & Applied Mathematics and Statistics Johns Hopkins University United States

The data-driven discovery of partial differential equations (PDEs) consistent with spatiotemporal data is experiencing a rebirth in machine learning research. Training deep neural networks to learn such data-driven partial differential operators requires extensive spatiotemporal data. For learning coarse-scale PDEs from computational fine-scale simulation data, the training data collection process can be prohibitively expensive. We propose to transformatively facilitate this training data collection process by linking machine learning (here, neural networks) with modern multiscale scientific computation (here, equation-free numerics). These equation-free techniques operate over sparse collections of small, appropriately coupled, space-time subdomains ("patches"), parsimoniously producing the required macro-scale training data. Our illustrative example involves the discovery of effective homogenized equations in one and two dimensions, for problems with fine-scale material property variations. The approach holds promise towards making the discovery of accurate, macro-scale effective materials PDE models possible by efficiently summarizing the physics embodied in "the best" fine-scale simulation models *** Codes 35B27 Copyright © 2020, The Authors. All rights reserved.

关键词： Deep neural networks

On the dynamical interaction between overshooting convection and an underlying dipole magnetic field - I. The non-dynamo regime

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arXiv 2020年

作者： Korre, Lydia Brummell, Nicholas H. Garaud, Pascale Guervilly, Celine Laboratory for Atmospheric and Space Physics BoulderCO80303 United States Department of Applied Mathematics Jack Baskin School of Engineering University of California Santa Cruz Santa CruzCA95064 United States School of Mathematics Statistics and Physics Newcastle University Newcastle upon TyneNE17RU United Kingdom

Motivated by the dynamics in the deep interiors of many stars, we study the interaction between overshooting convection and the large-scale poloidal fields residing in radiative zones. We have run a suite of 3D Boussinesq numerical calculations in a spherical shell that consists of a convection zone with an underlying stable region that initially compactly contains a dipole field. By varying the strength of the convective driving, we find that, in the less turbulent regime, convection acts as turbulent diffusion that removes the field faster than solely molecular diffusion would do. However, in the more turbulent regime, turbulent pumping becomes more efficient and partially counteracts turbulent diffusion, leading to a local accumulation of the field below the overshoot region. These simulations suggest that dipole fields might be confined in underlying stable regions by highly turbulent convective motions at stellar parameters. The confinement is of large-scale field in an average sense and we show that it is reasonably modeled by mean-field ideas. Our findings are particularly interesting for certain models of the Sun, which require a large-scale, poloidal magnetic field to be confined in the solar radiative zone in order to explain simultaneously the uniform rotation of the latter and the thinness of the solar tachocline. Copyright © 2020, The Authors. All rights reserved.

关键词： Magnetohydrodynamics

On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control

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arXiv 2020年

作者： Na, Sen Shin, Sungho Anitescu, Mihai Zavala, Victor M. The Department of Statistics University of Chicago 5747 South Ellis Avenue ChicagoIL60637 United States The Department of Chemical and Biological Engineering University of Wisconsin-Madison MadisonWI53706 United States The Mathematics and Computer Science Division Argonne National Laboratory Lemont IL60439 United States The Department of Statistics University of Chicago ChicagoIL60637 United States The Mathematics and Computer Science Division Argonne National Laboratory Lemont IL60439 United States

We study the convergence properties of an overlapping Schwarz decomposition algorithm for solving nonlinear optimal control problems (OCPs). The algorithm decomposes the time domain into a set of overlapping subdomains, and solves all subproblems defined over subdomains in parallel. The convergence is attained by updating primal-dual information at the boundaries of overlapping subdomains. We show that the algorithm exhibits local linear convergence, and that the convergence rate improves exponentially with the overlap size. We also establish global convergence results for a general quadratic programming, which enables the application of the Schwarz scheme inside second-order optimization algorithms (e.g., sequential quadratic programming). The theoretical foundation of our convergence analysis is a sensitivity result of nonlinear OCPs, which we call "exponential decay of sensitivity" (EDS). Intuitively, EDS states that the impact of perturbations at domain boundaries (i.e. initial and terminal time) on the solution decays exponentially as one moves into the domain. Here, we expand a previous analysis available in the literature by showing that EDS holds for both primal and dual solutions of nonlinear OCPs, under uniform second-order sufficient condition, controllability condition, and boundedness condition. We conduct experiments with a quadrotor motion planning problem and a PDE control problem to validate our theory;and show that the approach is significantly more efficient than ADMM and as efficient as the centralized solver Ipopt. Copyright © 2020, The Authors. All rights reserved.

关键词： Quadratic programming

On a generalized fibonacci recurrence

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arXiv 2019年

作者： Blitvić, Natasha Fernandez, Vicente I. Department of Mathematics and Statistics Lancaster University Department of Civil Environmental and Geomatic Engineering ETH Zürich

The generalized Fibonacci recurrence gn= gn-k+gn-m was recently used to demonstrate the theoretically optimal nature of limited senescence in morphologically symmetrically dividing bacteria. Here, we study this recurrence from a more abstract viewpoint, as a general model for asymmetric branching, and interpret solutions for different initial conditions in terms of branching-related quantities. We provide a compact diagrammatic representation for the evolution of this process which leads to an explicit binomial identity for the sums of elements lying on the diagonals kx + my = n in Pascal's triangle 0× 0(Greek passage) (x, y) → (x+yx), previously sought by Dickinson [Dic50], Raab [Raa63], and Green [Gre68]. Copyright © 2019, The Authors. All rights reserved.

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Maximizing robustness of point-set registration by leveraging non-convexity

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arXiv 2020年

作者： Bohorquez, Cindy Orozco Khoo, Yuehaw Ying, Lexing Institute for Computational and Mathematical Engineering Stanford University StanfordCA94305 United States Department of Statistics University of Chicago ChicagoIL60637 United States Department of Mathematics and ICME Stanford University StanfordCA94305 United States

Point-set registration is a classical image processing problem that looks for the optimal transformation between two sets of points. In this work, we analyze the impact of outliers when finding the optimal rotation between two point clouds. The presence of outliers motivates the use of least unsquared deviation, which is a non-smooth minimization problem over non-convex domain. We compare approaches based on non-convex optimization over special orthogonal group and convex relaxations. We show that if the fraction of outliers is larger than a certain threshold, any naive convex relaxation fails to recover the ground truth rotation regardless of the sample size and dimension. In contrast, minimizing the least unsquared deviation directly over the special orthogonal group exactly recovers the ground truth rotation for any level of corruption as long as the sample size is large enough. These theoretical findings are supported by numerical *** Codes 65D1, 68T45 Copyright © 2020, The Authors. All rights reserved.

关键词： Relaxation processes

Optimal Walking Assistance Control of Lower Limb Exoskeleton Using Adaptive Learning Approach

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Optimal Walking Assistance Control of Lower Limb Exoskeleton...

Chinese Control Conference (CCC)

作者： Zhinan Peng Rui Luo Jiangping Hu Bijoy Kumar Ghosh Sing Kiong Nguang School of Automation Engineering University of Electronic Science and Technology of China Chengdu P. R. China Department of Mathematics and Statistics Texas Tech University Lubbock TX USA Department of Electrical University of Auckland Auckland New Zealand

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

In this paper, an adaptive reinforcement learning (RL) based controller is developed to solve assistance control problem for Lower Limb Exoskeleton (LLE) to aid hemiplegic individuals in walking. The communication interaction relation between both two lower-limbs and patient's unaffected leg is modelled in the context of leader-follower (LF) framework. The walking assistance control problem of LLE with patients is converted to optimal control problem. To handle the optimal control problem, a discounted cost function is designed in terms of the local tracking error, and then a policy iteration algorithm (PI) is proposed to generate an optimal control policy, followed by the convergence analysis of the presented algorithm. Further, in order to improve the adaption of the controller to different patients, on the basis of the PI algorithm, an actor-critic-based neural network (AC/NN) architecture is introduced to implement the presented control method in an online-learning fashion. Finally, simulation scenarios are established to test the effectiveness of the proposed walking assistance control approaches.

关键词： Legged locomotion Exoskeletons Cost function Optimal control Convergence Electronic mail Trajectory