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Investigating Epidemic Diseases Characterized by Vertical Transmission and Contract: Cellular Automata Computational Model 1

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IFAC Proceedings Volumes 2010年第25期43卷 155-159页

作者： C.L. Chang Y. Jing S. Zhang G. Stojanovski M. Stankovski G. Dimirovski Northeastern University School of Information Science & Engineering 110004 Shenyang P.R. China SS Cyril and Methodius University School FEIT Institute of ASE Karpos II BB MK-1000 Skopje R. Macedonia Dogus University Computer Eng. and Control Eng. Departments TR-34722 Istanbul Turkey

A computationally and theoretically new model based on cellular automata is developed to generate descriptive emulation of epidemic disease processes, a particularly prevailing phenomenon in developing countries that may cause dramatic events. The feature phenomena of vertical transmission and contract of epidemic diseases are accounted for. Thus the proposed model captures the essence of the epidemic dynamics as demonstrated by the simulation experiments. The proposed model can serve as a background basis for developing more sophisticated models and algorithms to simulate scenario of real-world epidemics based on recorded data. Copyright © 2010 IFAC

关键词： Bio-cybernetics cellular automata epidemic diseases emulation model systems biology

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Model predictive control of fuel cell micro cogeneration systems

Model predictive control of fuel cell micro cogeneration sys...

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IEEE International Conference on Networking, Sensing and control

作者： Michiel Houwing Rudy R. Negenborn Marija D. Ilic Bart De Schutter Electic Energy Systems Group of Carnegie Mellon University Pittsburgh PA USA Faculty of Technology Policy and Management Delft University of Technnology Delft Netherlands Delft Center of Systems and Control Delft University of Technnology Delft Netherlands Departments of Electrical and Computer Engineering and Engineering and Public Policy Carnegie Mellon University Pittsburgh PA USA Control of Future Electricity Network Operations Faculty of Technology Delft University of Technnology Delft Netherlands Marine and Transport Technology Department Delft University of Technnology Netherlands

With the increasing application of distributed energy resources and information technologies in the electricity infrastructure, innovative possibilities for incorporating the demand side more actively in power system operation are enabled. At the residential level energy costs could be reduced with intelligent price-based control concepts (demand response). A promising, controllable, residential distributed generation technology is micro cogeneration (micro-CHP). Micro-CHP is an energy efficient technology that simultaneously provides heat and electricity to households during operation. This paper presents a detailed model of a household using a proton exchange membrane fuel cell (PEMFC) micro-CHP system in conjunction with heat storage options to fulfil its heat and part of its electricity demand. Furthermore, a decentralised controller based on a model predictive control (MPC) strategy is proposed. MPC can take benefit of future knowledge on prizes and energy demands and can therefore lead to better system performance. In simulations the performance of the MPC-controlled PEMFC system is illustrated under different conditions regarding energy pricing, domestic energy demand, and system configuration.

关键词： Predictive models Predictive control Fuel cells Cogeneration Resistance heating Power system modeling Distributed control Energy resources Information technology Costs

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Improved Multidisciplinary Multiobjective Collaborative Optimization Technique Based on NSGA-II Algorithm 1

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IFAC Proceedings Volumes 2010年第25期43卷 139-144页

作者： H. Li Y. Jing S. Zhang V. Ojleska T. Kolemisevska G.M. Dimirovski Key Laboratory of Integrated Automation of Process Industry Ministry of Education Northeastern University Shenyang 110004 P.R. China Northeastern University School of Information Science & Engineering Shenyang 110004 P.R. China SS Cyril and Methodius University School FEIT Institute of ASE Karpos II BB MK-1000 Skopje R. Macedonia Dogus University Computer Eng. and Control Eng. Departments TR-34722 Istanbul Turkey

The multiobjective collaborative optimization (MCO) has been widely adopted in concurrent engineering design as a good multiobjective optimization approach provided the problem of optimization results converging often to a local extremum has been taken care of. It has been demonstrated to yield useful solutions to a wide range of optimization problems under concurrent condition both technical and non-technical ones. A solution strategy for MCO that overcomes this drawback is proposed here on the grounds of genetic NSGA-II algorithm. It is an adaptive heuristic search technique that controls the distances between the individual and system's feasible region during genetic evolution. In the evolving NSGA-II based non-dominated sorting, the individual threshold of infeasibility degree is reduced gradually via genetic evolution and the individual's feasibility capacity is determined by its infeasibility degree and the threshold. It has been applied to a benchmark example of speed reducer design, and the obtained results demonstrate the proposed technique is comparably more efficient and may offer substantial advantages over the gradient-based optimization methods. Copyright © 2010 IFAC

关键词： Collaborative optimization dynamic threshold genetic algorithms multidisciplinary optimization multiobjective optimization

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Materials Science/Clinical Medi Cine: Epidermal devices for noninvasive, precise, and continuous mapping of macrovascular and microvascular blood flow

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Science Advances 2015年第9期1卷

作者： Webb, R. Chad Ma, Yinji Krishnan, Siddharth Li, Yuhang Yoon, Stephen Guo, Xiaogang Feng, Xue Shi, Yan Seidel, Miles Cho, Nam Heon Kurniawan, Jonas Ahad, James Sheth, Niral Kim, Joseph TaylorVI, James G. Darlington, Tom Chang, Ken Huang, Weizhong Ayers, Joshua Gruebele, Alexander Pielak, Rafal M. Slepian, Marvin J. Huang, Yonggang Gorbach, Alexander M. Rogers, John A. Department of Materials Science and Engineering Frederick Seitz Materials Research Laboratory University of Illinois at Urbana-Champaign UrbanaIL61801 United States Departments of Civil and Environmental Engineering Mechanical Engineering Center for Engineering and Health Skin Disease Research Center Northwestern University EvanstonIL60208 United States Department of Engineering Mechanics Center for Mechanics and Materials Tsinghua University Beijing100084 China Institute of Solid Mechanics Beihang University Beijing100191 China National Institute of Biomedical Imaging and Bioengineering National Institutes of Health BethesdaMD20892 United States College of Aerospace and Civil Engineering Harbin Engineering University Harbin150001 China State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics Nanjing210016 China Genomic Medicine Section Hematology Branch National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Department of Electrical and Computer Engineering Frederick Seitz Materials Research Laboratory University of Illinois at Urbana-Champaign UrbanaIL61801 United States L'Oreál California Research Center 953 Indiana Street San FranciscoCA94107 United States Department of Medicine Sarver Heart Center Department of Biomedical Engineering University of Arizona TucsonAZ85724 United States

Continuous monitoring of variations in blood flow is vital in assessing the status of microvascular and macrovascular beds for a wide range of clinical and research scenarios. Although a variety of techniques exist, most require complete immobilization of the subject, thereby limiting their utility to hospital or clinical settings. Those that can be rendered in wearable formats suffer from limited accuracy, motion artifacts, and other shortcomings that follow from an inability to achieve intimate, noninvasive mechanical linkage of sensors with the surface of the skin. We introduce an ultrathin, soft, skin-conforming sensor technology that offers advanced capabilities in continuous and precise blood flow mapping. Systematic work establishes a set of experimental procedures and theoretical models for quantitative measurements and guidelines in design and operation. Experimental studies on human subjects, including validation with measurements performed using state-of-the-art clinical techniques, demonstrate sensitive and accurate assessment of both macrovascular and microvascular flow under a range of physiological conditions. Refined operational modes eliminate long-term drifts and reduce power consumption, thereby providing steps toward the use of this technology for continuous monitoring during daily activities. © 2015 The Authors, some rights reserved.

关键词： Blood

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COMMENTS ON SERVICE MARGINS FOR SHIPS

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NAVAL ENGINEERS JOURNAL 1970年第5期82卷 75-&页

作者： LEVINE, G HAWKINS, S George Levine presently a Vice President of Robert Taggart Inc. holds a B. S. degree in Naval Architecture and Marine Engineering from Webb Institute and a Masters degree in Mechanical Engineering from Northeastern University. Levine is also a registered Professional Engineer in New York State. His experience covers a broad range of technical disciplines for diverse types of marine vehicles including: resistance propulsion stability and control computer aided ship design and ship vulnerability. In addition to analytical studies he has had extensive experience in model and full scale testing of marine vehicles. Seth Hawkins also a Vice President of Robert Taggart Inc. holds Bachelors degrees in Marine Transportation and Marine Engineering from the State University of New York Maritime College. In addition to having sailed in the deck and engineering departments of merchant and naval ships his experience includes managing and participating in numerous research projects in the areas of ship resistance and propulsion ship maneuverability and control seakeeping underwater acoustics oceanographic survey fleet requirements ship trials hydrofoil design and various aspects of underwater engineering.

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Introduction to the issue on biophotonics

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IEEE Journal on Selected Topics in Quantum Electronics 2014年第2期20卷 4-7页

作者： Ilev, Ilko K. Boppart, Stephen A. Andersson-Engels, Stefan Kim, Beop-Min Perelman, Lev Tuchin, Valery Center for Devices and Radiological Health U.S. Food and Drug Administration Silver Spring MD 20993 United States Beckman Institute for Advanced Science and Technology Departments of Bioengineering Electrical and Computer Engineering and Medicine University of Illinois Urbana IL 61801 United States Division of Atomic Physics Lund University Lund SE-22100 Sweden Department of Biomedical Engineering Korea University Seoul 136-703 Korea Republic of Center for Advanced Biomedical Imaging and Photonics Beth Israel Deaconess Medical Center Harvard University Boston MA 02215 United States Division of Optics and Biophotonics Saratov State University Saratov 410012 Russia Institute of Precision Mechanics and Control Russian Academy of Sciences Saratov 410028 Russia Optoelectronics and Measurement Techniques Laboratory University of Oulu Oulu FI-90014 Finland

The objective of this JSTQE Issue on Biophotonics is to highlight recent progress and trends in innovative biophotonics technology development. The papers published in this issue cover a broad range of advanced biophotonics areas summarized in the following sections: 1) bioimaging: optical coherence tomography and microscopy, nonlinear optical imaging, and novel multimodality imaging approaches; 2) biosensing: multifunctional biosensing, and novel biosensing approaches; 3) biophotonic science: mechanisms of light-cell and lighttissue interactions, advanced modeling methods in biophotonics, and light induced biophotonics effects; 4) biophotonic technology: advanced technologies in biophotonic diagnostics and therapeutics, infrared technology in biophotonics, and novel laser, biomedical and fiber optics tools and devices in biophotonics. These key research topics are highlighted as comprehensive overviews of the current status and future trends, as well as original results and recent developments in the field of biophotonics. This issue contains 33 papers, including 18 invited and 15 contributed papers authored by well-established research groups and promising scientists from all over the world. The invited papers include extended reviews on recent biophotonic developments and clinical applications in the areas of highresolution multispectral bioimaging, combined multifunctional microscopy, nonlinear deep tissue imaging, single molecule imaging, optical coherence elastography, cellular and molecular mechanisms of photobiomodulation, tissue optical clearing, clinical ultrafast laser surgery, infrared laser nerve stimulation, and novel tapered diode lasers for biophotonics. The contributed papers cover a broad variety of key biophotonic research areas including recently obtained original results on multimodal bioimaging and sensing, high resolution phase-sensitive magnetomotive optical coherence microscopy and elastography, and laser-assisted typing of polymorphic human

关键词： Special issues and sections Biophotonics

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Brain structure can mediate/moderate the relationship of behavior to brain function and transcriptome: a preliminary study

arXiv

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arXiv 2022年

作者： Bari, Sumra Vike, Nicole L. Stetsiv, Khrystyna Blood, Anne J. Nauman, Eric A. Talavage, Thomas M. Slobounov, Semyon Breiter, Hans C. Department of Computer Science University of Cincinnati CincinnatiOH United States Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences Feinberg School of Medicine Northwestern University ChicagoIL United States Mood and Motor Control Laboratory Departments of Neurology and Psychiatry Massachusetts General Hospital Harvard Medical School BostonMA02129 United States Laboratory of Neuroimaging and Genetics Department of Psychiatry Massachusetts General Hospital Harvard Medical School BostonMA02129 United States Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital Harvard Medical School BostonMA02129 United States Department of Biomedical Engineering University of Cincinnati CincinnatiOH United States Department of Kinesiology Pennsylvania State University University ParkPA United States The Pennsylvania State University 268P Recreation Building University ParkPA16802 United States Department of Computer Science College of Engineering and Applied Science University of Cincinnati 2901 Woodside Drive CincinnatiOH45219 United States

Abnormalities in motor-control behavior, which have been associated with concussion and head acceleration events (HAE), can be quantified using virtual reality (VR) technologies. Motor-control behavior has been consistently mapped to the brain’s somatomotor network (SM) using both structural (sMRI) and functional MRI (fMRI). However, no studies have integrated HAE, motor-control behavior, sMRI and fMRI measures. Here, brain networks important for motor-control were hypothesized to show changes in tractography-based diffusion weighted imaging [difference in fractional anisotropy (∆FA)] and resting-state fMRI (rs-fMRI) measures in collegiate American football players across the season, and that these measures would relate to VR-based motor-control. We further tested if nine inflammation-related miRNAs were associated with behavior-structure-function variables. Using permutation-based mediation/moderation methods, we found that across-season ∆FA from the SM structural connectome (SM-∆FA) mediated the relationship between across-season VR-based Sensory-motor Reactivity (∆SR) and rs-fMRI SM fingerprint similarity (psobelperm = 0.007 and Teff = 47%). The interaction between ∆SR and SM-∆FA also predicted (pFPerm= 0.036, PB₃perm = 0.058) across-season levels of ∆miRNA-30d through permutation-based moderation analysis. These results suggest (1) that motor-control is in a feedback relationship with brain structure and function, (2) behavior-structure-function can be connected to HAE, and (3) behavior-structure might predict molecular biology measures. © 2022, CC BY.

关键词： Molecular biology

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Benchmark problems for transcranial ultrasound simulation: Intercomparison of compressional wave models

arXiv

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arXiv 2022年

作者： Aubry, Jean-Francois Bates, Oscar Boehm, Christian Pauly, Kim Butts Christensen, Douglas Cueto, Carlos Gélat, Pierre Guasch, Lluis Jaros, Jiri Jing, Yun Jones, Rebecca Li, Ningrui Marty, Patrick Montanaro, Hazael Neufeld, Esra Pichardo, Samuel Pinton, Gianmarco Pulkkinen, Aki Stanziola, Antonio Thielscher, Axel Treeby, Bradley Van't Wout, Elwin Physics for Medicine Paris INSERM U1273 ESPCI Paris PSL University CNRS UMR 8063 France Department of Bioengineering Imperial College London Exhibition Road LondonSW7 2AZ United Kingdom Institute of Geophysics ETH Zürich Sonneggstrasse 5 Zürich8092 Switzerland Department of Radiology Stanford University StanfordCA United States Department of Biomedical Engineering Department of Electrical and Computer Engineering University of Utah United States Department of Surgical Biotechnology Division of Surgery and Interventional Science University College London LondonNW3 2PF United Kingdom Earth Science and Engineering Department Imperial College London London United Kingdom Centre of Excellence IT4Innovations Faculty of Information Technology Brno University of Technology Bozetechova 2 Brno612 00 Czech Republic Graduate Program in Acoustics The Pennsylvania State University University Park PA16802 United States Joint Department of Biomedical Engineering University of North Carolina at Chapel Hill North Carolina State University NC United States Department of Electrical Engineering Stanford University StanfordCA United States Zurich Switzerland Laboratory for Acoustics / Noise control Empa Swiss Federal Laboratories for Materials Science and Technology Dubendorf Switzerland Zurich Switzerland Radiology and Clinical Neurosciences Departments Cumming School of Medicine University of Calgary Canada Department of Applied Physics University of Eastern Finland Kuopio70211 Finland Department of Medical Physics and Biomedical Engineering University College London Gower Street LondonWC1E 6BT United Kingdom Technical University of Denmark Denmark Danish Research Center for Magnetic Resonance Copenhagen University Hospital Hvidovre Denmark Institute for Mathematical and Computational Engineering School of Engineering and Faculty of Mathematics Pontificia Universidad Catolica de Chile Santiago Chile

Computational models of acoustic wave propagation are frequently used in transcranial ultrasound therapy, for example, to calculate the intracranial pressure field or to calculate phase delays to correct for skull distortions. To allow intercomparison between the different modeling tools and techniques used by the community, an international working group was convened to formulate a set of numerical benchmarks. Here, these benchmarks are presented, along with intercomparison results. Nine different benchmarks of increasing geometric complexity are defined. These include a single-layer planar bone immersed in water, a multi-layer bone, and a whole skull. Two transducer configurations are considered (a focused bowl and a plane piston), giving a total of 18 permutations of the benchmarks. Eleven different modeling tools are used to compute the benchmark results. The models span a wide range of numerical techniques, including the finite-difference time-domain method, angular-spectrum method, pseudospectral method, boundary-element method, and spectral-element method. Good agreement is found between the models, particularly for the position, size, and magnitude of the acoustic focus within the skull. When comparing results for each model with every other model in a cross comparison, the median values for each benchmark for the difference in focal pressure and position are less than 10% and 1 mm, respectively. The benchmark definitions, model results, and intercomparison codes are freely available to facilitate further comparisons. Copyright © 2022, The Authors. All rights reserved.

关键词： Bone

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3D Mesostructures: Fabrication and Deformation of 3D Multilayered Kirigami Microstructures (Small 11/2018)

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Small 2018年第11期14卷

作者： Mohammad Humood Yan Shi Mengdi Han Joseph Lefebvre Zheng Yan Matt Pharr Yihui Zhang Yonggang Huang John A. Rogers Andreas A. Polycarpou Department of Mechanical Engineering College of Engineering Texas A&M University College Station TX 77843-3123 USA State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics Nanjing 210016 P. R. China Center for Mechanics and Materials and Center for Flexible Electronics Technology AML Department of Engineering Mechanics Tsinghua University Beijing 100084 P. R. China Department of Materials Science and Engineering Fredrick Seitz Materials Research Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 USA Bruker Nano Surfaces Eden Prairie MN 55344 USA Department of Chemical Engineering and Department of Mechanical and Aerospace Engineering University of Missouri Columbia MI 65211 USA Departments of Mechanical Engineering and Civil and Environmental Engineering Northwestern University Evanston IL 60208 USA Department of Biomedical Engineering Department of Chemistry Department of Mechanical Engineering Department of Electrical Engineering and Department of Computer Science Center for Bio-Integrated Electronics Simpson Querrey Institute for Nano/Biotechnology Northwestern University Evanston IL 60208 USA

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Workshop on imaging science development for cancer prevention and preemption

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Cancer Biomarkers 2007年第1期3卷 1-33页

作者： Kelloff, Gary J. Sullivan, Daniel C. Baker, Houston Clarke, Lawrence P. Nordstrom, Robert Tatum, James L. Dorfman, Gary S. Jacobs, Paula Berg, Christine D. Pomper, Martin G. Birrer, Michael J. Tempero, Margaret Higley, Howard R. Petty, Brenda Gumbs Sigman, Caroline C. Maley, Carlo Sharma, Prateek Wax, Adam Ginsberg, Gregory G. Dannenberg, Andrew J. Hawk, Ernest T. Messing, Edward M. Grossman, H. Barton Harisinghani, Mukesh Bigio, Irving J. Griebel, Donna Henson, Donald E. Fabian, Carol J. Ferrara, Katherine Fantini, Sergio Schnall, Mitchell D. Zujewski, Jo Anne Hayes, Wendy Klein, Eric A. DeMarzo, Angelo Ocak, Iclal Ketterling, Jeffrey A. Tempany, Clare Shtern, Faina Parnes, Howard L. Gomez, Jorge Srivastava, Sudhir Szabo, Eva Lam, Stephen Seibel, Eric J. Massion, Pierre McLennan, Geoffrey Cleary, Kevin Suh, Robert Burt, Randall W. Pfeiffer, Ruth M. Hoffman, John M. Roy, Hemant K. Wang, Thomas Limburg, Paul J. El-Deiry, Wafik S. Papadimitrakopoulou, Vali Hittelman, Walter N. MacAulay, Calum Veltri, Robert W. Solomonzz, Diane Jeronimo, Jose Richards-Kortum, Rebecca Johnson, Karen A. Viner, Jaye L. Stratton, Steven P. Rajadhyaksha, Milind Dhawan, Atam NIH/NCI/DCTD Cancer Imaging Program Bethesda MD United States NIH/NCI/DCTD Cancer Imaging Program NCI-Frederick Frederick MD United States NIH/NCI/DCP Early Detection Research Group Bethesda MD United States The Johns Hopkins University School of Medicine Departments of Radiology Pharmacology and Oncology Division of Neuroradiology Baltimore MD United States NIH/NCI/CCR Cell and Cancer Biology Branch Bethesda MD United States University of California San Francisco Department of Medicine Division of Medical Oncology San Francisco CA United States CCS Associates Inc. Mountain View CA United States Wistar Institute Molecular and Cellular Oncogenesis Program Philadelphia PA United States University of Kansas School of Medicine VA Hospital Kansas City MO United States Duke University Department of Biomedical Engineering Medical Physics Program Durham NC United States University of Pennsylvania School of Medicine Department of Gastroenterology Philadelphia PA United States New York Presbyterian Hospital Weill Medical College of Cornell University New York NY United States NIH/NCI/OD Office of Centers for Training and Resources Bethesda MD United States University of Rochester Medical Center Department of Urology Rochester NY United States University of Texas MD Anderson Cancer Center Department of Urology Houston TX United States Massachusetts General Hospital Abdominal Imaging/Interventional Radiology Boston MA United States Boston University Biomedical Engineering Electrical and Computer Engineering and Physics Boston MA United States NIH/NCI/DCP Gastrointestinal and Other Cancers Research Group Bethesda MD United States The George Washington University Cancer Institute Office of Cancer Prevention and Control Washington DC United States University of Kansas Cancer Center Clinical Oncology Kansas City KS United States University of California Davis Department of Biomedical Engineering Davis CA United States Tufts University De

The concept of intraepithelial neoplasm (IEN) as a near-obligate precursor of cancers has generated opportunities to examine drug or device intervention strategies that may reverse or retard the sometimes lengthy process of carcinogenesis. Chemopreventive agents with high therapeutic indices, well-monitored for efficacy and safety, are greatly needed, as is development of less invasive or minimally disruptive visualization and assessment methods to safely screen nominally healthy but at-risk patients, often for extended periods of time and at repeated intervals. Imaging devices, alone or in combination with anticancer drugs, may also provide novel interventions to treat or prevent precancer.

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