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Retrospective analysis of eFAST ultrasounds performed on trauma activations at an academic level-1 trauma center

World Journal of Emergency Medicine 2020年第1期11卷 12-17页

作者： Samantha Shwe Lauren Witchey Shadi Lahham ethan kunstadt Inna Shniter John C.Fox School of Medicine University of CaliforniaIrvine 92697USA Department of Emergency Medicine University of CaliforniaIrvineOrangeCA 92868USA

BACKGROUND:Point-of-care ultrasound(POCUS)has become increasingly integrated into the practice of emergency medicine.A common application is the extended focused assessment with sonography in trauma(eFAST)*** American College of Emergency Physicians has guidelines regarding the scope of ultrasound in the emergency department and the appropriate *** objective of this study was to conduct a review of performed,documented and billed eFAST ultrasounds on trauma activation ***:This was a retrospective review of all trauma activation patients during a 10-month period at an academic level-one trauma center.A list comparing all trauma activations was crossreferenced with a list of all billed eFAST *** records were reviewed to determine whether an eFAST was indicated,performed,and appropriately ***:We found that 1,507 of 1,597 trauma patients had indications for eFAST,but 396(27%)of these patients did not have a billed *** these 396 patients,87(22%)had documentation in the provider note that an eFAST was performed but there was no separate procedure *** remaining 309(78%)did not have any documentation of the eFAST in the patient’s chart although an eFAST was recorded and reviewed during ultrasound quality ***:A significant proportion of trauma patients had eFAST exams performed but were not documented or *** of documentation was *** ultrasound programs require appropriate reimbursement to support training,credentialing,equipment,quality assurance,and device *** study demonstrates a significant absence of adequate documentation leading to potential revenue loss for an emergency ultrasound program.

关键词： Point-of-care ultrasound Emergency medicine Focused assessment withsonography in trauma Trauma activation Blunt trauma

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Human induced pluripotent stem cell-derived therapies for regeneration after central nervous system injury

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Neural Regeneration Research 2025年第11期20卷 3063-3075页

作者： Stephen Vidman Yee Hang ethan Ma Nolan Fullenkamp Giles W.Plant Department of Neuroscience Ohio State UniversityColumbusOHUSA

In recent years,the progression of stem cell therapies has shown great promise in advancing the nascent field of regenerative *** the non-regenerative nature of the mature central nervous system,the concept that“blank”cells could be reprogrammed and functionally integrated into host neural networks remained *** work has also demonstrated the ability of such cells to stimulate intrinsic growth programs in post-mitotic cells,such as *** embryonic stem cells demonstrated great potential in treating central nervous system pathologies,ethical and technical concerns *** barriers,along with the clear necessity for this type of treatment,ultimately prompted the advent of induced pluripotent stem *** advantage of pluripotent cells in central nervous system regeneration is multifaceted,permitting differentiation into neural stem cells,neural progenitor cells,glia,and various neuronal *** precise spatiotemporal application of extrinsic growth factors in vitro,in addition to microenvironmental signaling in vivo,influences the efficiency of this directed *** the pluri-or multipotency of these cells is appealing,it also poses the risk of unregulated differentiation and teratoma *** of the neuroectodermal lineage,such as neuronal subpopulations and glia,have been explored with varying degrees of *** the risk of cancer or teratoma formation is greatly reduced,each subpopulation varies in effectiveness and is influenced by a myriad of factors,such as the timing of the transplant,pathology type,and the ratio of accompanying progenitor ***,successful transplantation requires innovative approaches to develop delivery vectors that can mitigate cell death and support ***,host immune responses to allogeneic grafts must be thoroughly characterized and further developed to reduce the need for *** to a clinical setting wi

关键词： axon regeneration central nervous system regeneration induced pluripotent stem cells neurotrauma regenerative medicine spinal cord injury stem cell therapy

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Processing Compressed Expanded Natural Graphite for Phase Change Material Composites

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Journal of Thermal Science 2023年第3期32卷 1213-1226页

作者： Alexander BULK Adewale ODUKOMAIYA ethan SIMMONS Jason WOODS National Renewable Energy Laboratory 15013 Denver West ParkwayGoldenCO 80401USA

Phase change materials(PCMs)are used in various thermal energy storage applications but are limited by their low thermal *** method to increase conductivity involves impregnating organic PCMs into highly porous conductive matrix *** these materials,compressed expanded natural graphite(CENG)matrices have received the most *** this attention,the effect that CENG processing has on PCM saturation and overall matrix thermal conductivity has not been fully ***,the effect of the heat treatment process used to expand intercalated graphite flakes is evaluated *** heat treatment temperatures yielded higher saturation rates and overall saturation at similar matrix *** example,increasing temperature from 300℃to 700℃resulted in approximately 60%-70%increase in pore saturation after 100 minutes of *** exposure time to heat treatment had less of an effect on PCM *** exposure time had negligible effect above 30 min and above 500℃heating ***,because the expanded graphite was found to oxidize around 700℃,the use of longer exposure time in manufacturing applications can be beneficial if a shortened impregnation time is *** treatment conditions did not impact thermal *** composite latent heat of fusion was also reduced approximately proportionally to the PCM mass fraction.A local maximum in axial thermal conductivity was observed at around 83%porosity,which is similar to previous *** observed conductivity at this maximum was a factor of 81 times greater than the conductivity of the PCM.

关键词： phase change materials thermal energy storage compressed expanded natural graphite thermal conductivity enhancement porous material sorptivity composite matrix

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Ithamar Theodor, and Zhihua Yao, eds. Brahman and Dao： Comparative Studies of Indian and Chinese Philosophy and Religion （edited by ethan Mills）

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Frontiers of Philosophy in China 2015年第3期10卷 525-527页

作者： ethan Mills University of Tennessee at Chattanooga

In recent decades much of what goes by the name ＂comparative philosophy＂ has focused on comparing Western philosophy with South Asian philosophy, or comparing Western philosophy with East Asian philosophy. While this approach has been beneficial both for cultural understanding and philosophical illumination, one might wonder why there have been so few comparisons between East Asian and South Asian traditions. The potential value of such comparisons becomes evident when considering the vast differences between these traditions （as a specialist in classical Indian philosophy, I sometimes find myself explaining to colleagues familiar only with Western philosophy that there is no single tradition called ＂Eastern philosophy＂）.

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Recursive Approximation of Complex Behaviours With IoT-Data Imperfections

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IEEE/CAA Journal of Automatica Sinica 2020年第3期7卷 656-667页

作者： Korkut Bekiroglu Seshadhri Srinivasan ethan Png Rong Su Constantino Lagoa College of Engineering SUNY Polytechnic InstituteUtica 13503NYUSA Berkeley Education Alliance for Research in Singapore(BEARS) Singapore 138602Singapore School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore IEEE Electrical Engineering Department of Pennsylvania State University ParkPA 16802 USA

This paper presents an approach to recursively estimate the simplest linear model that approximates the time-varying local behaviors from imperfect(noisy and incomplete) measurements in the internet of things(IoT) based distributed decision-making problems. We first show that the problem of finding the lowest order model for a multi-input single-output system is a cardinality(l0) optimization problem, known to be *** solve the problem a simpler approach is proposed which uses the recently developed atomic norm concept and the modified Frank-Wolfe(mFW) algorithm is introduced. Further, the paper computes the minimum data-rate required for computing the models with imperfect measurements. The proposed approach is illustrated on a building heating, ventilation, and air-conditioning(HVAC) control system that aims at optimizing energy consumption in commercial buildings using IoT devices in a distributed manner. The HVAC control application requires recursive thermal dynamical model updates due to frequently changing conditions and non-linear dynamics. We show that the method proposed in this paper can approximate such complex dynamics on single-board computers interfaced to sensors using unreliable communication channels. Real-time experiments on HVAC systems and simulation studies are used to illustrate the proposed method.

关键词： Adaptability distributed decision systems imperfect measurements internet of things(IoT) low order model identification

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Calibration of Modified Spalart-Ailmaras Model Parameters for Linear Compressor Cascade Corner Flow

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Journal of Thermal Science 2022年第1期31卷 163-172页

作者： MATSUI Kotaro PEREZ ethan KELLY TRyan TANI Naoki JEMCOV Aleksandar IHI Corporation Akishima 196-8686Japan Notre Dame Turbomachinery Laboratory South Bend 46601USA Department of Aerospace and Mechanical Engineering University of Notre DameNotre Dame 46556USA

In this study,Bayesian parameter calibration is applied to Saplart-Allmaras(SA)turbulence model,and the prediction improvement by the calibrated model is *** quantity of interest(QOI)is the pitch-wise distribution of Mach number in the comer separation flow *** 10 model parameters included in the SA model with Rotation-Curvature correction are considered as random variables obeying uniform prior probability *** order of generalized Polynomial Chaos(gPC)used for sensitivity analysis and surrogate model in calibration is incrementally increased during the calibration *** convergence is obtained at the 3rd order expansion level in this *** this final level,sensitivity analysis indicates 3 model parameters,cbl,k and cr3 are the most influential random variables,and 3-parameter Bayesian calibration is *** likelihood function in the Bayesian theorem is specified in the form of Gaussian distribution,including experimental *** combination of prior and likelihood brings the posterior distribution of model parameters,and Maximum A Posterior(MAP)value is selected as a calibrated parameter *** flow simulation with calibrated parameters shows a significant increase in the accuracy of the Mach number profile in the comer separation *** increase in accuracy is attributed to enlarged turbulent viscosity due to the parameter modification of the turbulent viscosity source *** calibrated parameter is also tested in the off-design flow field,not included in the calibration *** calibrated CFD again shows improved accuracy for comer separation prediction,and the effectiveness of the parameter set outside of the calibration field is demonstrated.

关键词： compressor corner flow turbulence model calibration

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Learning from the 2009 H1N1 pandemic:prospects for more broadly effective influenza vaccines

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Journal of Molecular Cell Biology 2011年第3期3卷 144-146页

作者： ethan C.Settembre Philip R.Dormitzer Rino Rappuoli Novartis Vaccines and Diagnostics CambridgeMAUSASienaItaly

Calls to develop a universal influenza vaccine have increased in the wake of the 2009 H1N1 influenza *** demand comes at a time when analyses of the human antibody repertoire,informed by structures of complexes between broadly neutralizing antibodies and influenza hemagglutinin,have revealed the target of a class of broadly neutralizing *** studies suggest a path forward to more broadly protective influenza vaccines.

关键词： influenza vaccines protective

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AI-Assisted approach for building energy and carbon footprint modeling

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Energy and AI 2021年第3期5卷 201-208页

作者： Chih-Yen Chen Kok Keong Chai ethan Lau School of Electronic Engineering and Computer Science Queen Mary University of LondonUnited Kingdom

This paper proposes an energy and carbon footprint modelling using artificial intelligence technique to assess the impact of occupant density for various types of office *** use EnergyPlus to simulate energy con-sumption,and then estimate the related CO₂emissions based on three years(2016–2018)of Actual Meteoro-logical Year(AMY)weather *** occupant densities were used to evaluate the annual energy consumption and CO₂*** this work,a robust deep learning technique of long short-term memory(LSTM)model was established to predict the time-series energy consumption and CO₂emissions.A power exponential curve was suggested to correlate the behaviour of annual energy and CO₂emission for occupant densities range from 10 to 100 m2/person for each office building *** results of LSTM model show high prediction performance and small variations within the three types of office building data,which can be applied to the similar building model to predict and optimise energy consumption and CO₂emission.

关键词： Building energy simulation and benchmarking Carbon footprint Occupant density Artificial intelligence Long short-term memory(LSTM) Smart city

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Biomimetic Chiral Pyridoxal and Pyridoxamine Catalysts

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Chinese Journal of Chemistry 2019年第2期37卷 103-112,I0002页

作者： Jianfeng Chen Yong ethan Liu Xing Gong Limin Shi Baoguo zhao The Education Ministry Key Lab of Resource Chemistry and Shanghai Key Laboratory of Rare Earth Functional Materials Shanghai Normal UniversityShanghai 200234China

What is the most favorite and original chemistry developed in your research group? Vitamin B6-based biomimetic asymmetric catalysis. How do you get into this specific field? Could you please share some experiences with our readers? Enzymatic transformations are characterized by high efficiency, specific selectivities, and mild conditions, which attracts me to do some chemistry related to biological systems.

关键词： Biomimetic Chiral Pyridoxal Pyridoxamine Catalysts

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Training Load Monitoring Algorithms on Highly Sub-Metered Home Electricity Consumption Data

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Tsinghua Science and Technology 2008年第S1期13卷 406-411页

作者： Mario Berges ethan Goldman H. Scott Matthews Lucio Soibelman Civil and Environmental Engineering Department Carnegie Mellon University

The growing interest in energy-efficient buildings is driving changes in investment, design, and occupant behavior. To better focus cost and resource conservation efforts, electricity consumption feedback can be used to provide motivation, guidance, and verification. Disaggregating by end-use helps both consumers and producers to identify targets for conservation. While hardware-based sub-metering is costly and labor-intensive, non-intrusive load monitoring (NILM) is capable of gathering detailed energy-use data with minimal equipment cost and installation time. However, variations in measurements between metering devices complicate the process of compiling the necessary appliance profiles. Future work involves the devel-opment of NILM algorithms using sensor fusion and detailed appliance-level data gathered from a highly-sensed house currently being constructed near Pittsburgh, Pennsylvania.

关键词： electricity metering feedback energy conservation non-intrusive load monitoring

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