检索结果-内蒙古大学图书馆

arXiv 2024年

作者： Guerra, Omar J. Dalvi, Sourabh Thatte, Amogh A. Cowiestoll, Brady Jorgenson, Jennie Hodge, Bri-Mathias National Renewable Energy Laboratory 15013 Denver West Parkway GoldenCO80401 United States Colorado School of Mines Advanced Energy Systems Graduate Program 1500 Illinois Street GoldenCO80401 United States Renewable and Sustainable Energy Institute University of Colorado BoulderCO80309 United States Department of Electrical Computer & Energy Engineering University of Colorado BoulderCO80309 United States

Energy storage technologies, including short-duration, long-duration, and seasonal storage, are seen as technologies that can facilitate the integration of larger shares of variable renewable energy, such as wind and solar photovoltaics, in power systems. However, despite recent advances in the techno-economic modeling of energy storage (particularly for short-duration applications), the operation and economics of long-duration energy storage are still incomplete in power systems modeling platforms. For instance, existing modeling approaches for long-duration storage are often based either on an oversimplified representation of power system operations or limited representation of storage technologies, e.g., evaluation of only a single application. This manuscript presents an overview of the challenges of modeling long-duration energy storage technologies, as well as a discussion regarding the capabilities and limitations of existing approaches. We used two test power systems with high shares of both solar photovoltaics- and wind (70% - 90% annual variable renewable energy shares) to assess long-duration energy storage dispatch approaches. Our results estimate that better dispatch modeling of long-duration energy storage could increase the associated operational value by 4% - 14% and increase the standard capacity credit by 14% - 34%. Thus, a better long-duration energy storage dispatch could represent significant cost saving opportunities for electric utilities and system operators. In addition, existing long-duration dispatch modeling approaches were tested in terms of both improved system value (e.g., based on production cost and standard capacity credit) and scalability (e.g., based on central processing unit time and peak memory usage). Both copper plate and nodal representations of the power system were considered. Although the end volume target dispatch approach, i.e., based on mid-term scheduling, showed promising performance in terms of both improved system

关键词： Scalability

来源：评论

学校读者我要写书评

暂无评论

Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound

arXiv

引用

arXiv 2023年

作者： Lucassen, Ruben T. Jafari, Mohammad H. Duggan, Nicole M. Jowkar, Nick Mehrtash, Alireza Fischetti, Chanel Bernier, Denie Prentice, Kira Duhaime, Erik P. Jin, Mike Abolmaesumi, Purang Heslinga, Friso G. Veta, Mitko Duran-Mendicuti, Maria A. Frisken, Sarah Shyn, Paul B. Golby, Alexandra J. Boyer, Edward Wells, William M. Goldsmith, Andrew J. Kapur, Tina Department of Radiology Brigham and Women’s Hospital Harvard Medical School BostonMA02115 United States The Department of Biomedical Engineering Eindhoven University of Technology Eindhoven5612 Netherlands The Department of Emergency Medicine Brigham and Women’s Hospital BostonMA02115 United States Centaur Labs BostonMA02116 United States The Department of Electrical and Computer Engineering The University of British Columbia VancouverBCV5T 1Z4 Canada The Departments of Neurosurgery and Radiology Brigham and Women’s Hospital Harvard Medical School BostonMA02115 United States

Lung ultrasound (LUS) is an important imaging modality used by emergency physicians to assess pulmonary congestion at the patient bedside. B-line artifacts in LUS videos are key findings associated with pulmonary congestion. Not only can the interpretation of LUS be challenging for novice operators, but visual quantification of B-lines remains subject to observer variability. In this work, we investigate the strengths and weaknesses of multiple deep learning approaches for automated B-line detection and localization in LUS videos. We curate and publish, BEDLUS, a new ultrasound dataset comprising 1,419 videos from 113 patients with a total of 15,755 expert-annotated B-lines. Based on this dataset, we present a benchmark of established deep learning methods applied to the task of B-line detection. To pave the way for interpretable quantification of B-lines, we propose a novel "single-point" approach to B-line localization using only the point of origin. Our results show that (a) the area under the receiver operating characteristic curve ranges from 0.864 to 0.955 for the benchmarked detection methods, (b) within this range, the best performance is achieved by models that leverage multiple successive frames as input, and (c) the proposed single-point approach for B-line localization reaches an F1-score of 0.65, performing on par with the inter-observer agreement. The dataset and developed methods can facilitate further biomedical research on automated interpretation of lung ultrasound with the potential to expand the clinical utility. Copyright © 2023, The Authors. All rights reserved.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

Developing a Novel Citizen-Scientist Smartphone App for Collecting Behavioral and Affective Data from Children Populations 8th

Developing a Novel Citizen-Scientist Smartphone App for Coll...

引用

8th EAI International Conference on Mobile Communication and Healthcare, MobiHealth 2019

作者： Maramis, Christos Ioakimidis, Ioannis Kilintzis, Vassilis Stefanopoulos, Leandros Lekka, Eirini Papapanagiotou, Vasileios Diou, Christos Delopoulos, Anastasios Kassari, Penio Charmandari, Evangelia Maglaveras, Nikolaos Department of Medicine Aristotle University of Thessaloniki Thessaloniki Greece Department of Biosciences and Nutrition Karolinska Institutet Huddinge Sweden Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece Biomedical Research Foundation Academy of Athens Athens Greece Department of Industrial Engineering and Management Sciences Northwestern University Evanston United States

ISBN: (纸本)9783030492885

The paradigm of citizen-science, i.e., scientific research that is conducted in whole or in part by non-professional scientists, has gained popularity lately, e.g., for the purpose of crowdsourced data collection. Smartphones with their abundance and ubiquity are perfectly suited and have been widely used for crowdsourced data collection in real life settings. The ongoing, EC-funded research programme named BigO exploits the citizen-science paradigm to collect behavioral (eating, sleeping and physical activity) and affective (mood) data from children populations by means of a novel smartphone application with the intention of developing a decision support system to assist public health authorities in effective policy making against childhood obesity. This paper presents the development – in the context of BigO – of the myBigO app, one of the first citizen-scientist smartphone applications addressed to children for behavioral and affective data collection. This includes the design, implementation, and deployment of myBigO app in a number of data collection studies as well as its preliminary evaluation with respect to technical robustness and user experience in the context of these studies. © ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering 2020.

关键词： Decision support systems

来源：评论

学校读者我要写书评

暂无评论

Association Between Long‑Term Exposure to Air Pollution and the Rate of Mortality After Hip Fracture Surgery in Patients Older Than 60 Years: Nationwide Cohort Study in Taiwan

引用

JMIR Public Health and Surveillance 2024年 10卷 e46591页

作者： Chuang, Shu-Han Kuo, Yi-Jie Huang, Shu-Wei Zhang, Han-Wei Peng, Hsiao-Ching Chen, Yu-Pin Division of General Practice Department of Medical Education Changhua Christian Hospital Changhua Taiwan Department of Orthopedics Wan Fang Hospital Taipei Medical University Taipei City Taiwan Department of Orthopedics School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Department of Applied Science National Taitung University Taitung County Taitung City Taiwan MetaTrial Research Center Biomedica Corporation New Taipei Taiwan Program for Aging China Medical University Taichung Taiwan Institute of Population Health Sciences National Health Research Institutes Miaoli Taiwan Department of Electrical and Computer Engineering Institute of Electrical Control Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan

Background: To enhance postoperative patient survival, particularly in older adults, understanding the predictors of mortality following hip fracture becomes paramount. Air pollution, a prominent global environmental issue, has been linked to heightened morbidity and mortality across a spectrum of diseases. Nevertheless, the precise impact of air pollution on hip fracture outcomes remains elusive. Objective: This retrospective study aims to comprehensively investigate the profound influence of a decade-long exposure to 12 diverse air pollutants on the risk of post–hip fracture mortality among older Taiwanese patients (older than 60 years). We hypothesized that enduring long-term exposure to air pollution would significantly elevate the 1-year mortality rate following hip fracture surgery. Methods: From Taiwan’s National Health Insurance Research Database, we obtained the data of patients who underwent hip fracture surgery between July 1, 2003, and December 31, 2013. Using patients’ insurance registration data, we estimated their cumulative exposure levels to sulfur dioxide (SO2), carbon dioxide (CO2), carbon monoxide (CO), ozone (O3), particulate matter having a size of <10 μm (PM10), particulate matter having a size of <2.5 μm (PM2.5), nitrogen oxides (NOX), nitrogen monoxide (NO), nitrogen dioxide (NO2), total hydrocarbons (THC), nonmethane hydrocarbons (NMHC), and methane (CH4). We quantified the dose-response relationship between these air pollutants and the risk of mortality by calculating hazard ratios associated with a 1 SD increase in exposure levels over a decade. Results: Long-term exposure to SO2, CO, PM10, PM2.5, NOX, NO, NO2, THC, NMHC, and CH4 demonstrated significant associations with heightened all-cause mortality risk within 1 year post hip fracture surgery among older adults. For older adults, eac

关键词： air pollution environmental hazard exposure hazard hip fracture morbidity mortality older adult

来源：评论

学校读者我要写书评

暂无评论

Injectable wireless micro-device integrated with photodegradable hydrogel for deep tissue therapeutics 23

Injectable wireless micro-device integrated with photodegrad...

引用

23rd International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2019

作者： Lian, Sophie Liu, Yi Lin, Rongzhou Ho, John S. Chen, Chia-Hung Department of Biomedical Engineering National University of Singapore Singapore Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore

ISBN: (纸本)9781733419000

A drug delivery system that allows a spatial, flexible and precise control of drug delivery, whilst being minimally invasive has been widely researched, with light stimulated smart hydrogels appearing as an attractive platform. However, as light has limited penetration through biological tissues, we have developed an integrated micro-device comprising of a wireless powered light source, and a photodegradable hydrogel to enable for deep-tissue therapeutics. Midfield wireless power transfer is permitted by the micro-device's miniaturized size, allowing for a penetration depth of several centimetres. Release studies have also shown a sustainable, targeted and controllable cargo release. © 2019 CBMS-0001.

关键词： Tissue

来源：评论

学校读者我要写书评

暂无评论

A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction

arXiv

引用

arXiv 2022年

作者： Zhao, Ruiyang He, Zhao Wang, Tao Qiu, Suhao Herman, Pawel Hu, Yanle Zhang, Chencheng Shen, Dinggang Sun, Bomin Yang, Guang-Zhong Feng, Yuan School of Biomedical Engineering Shanghai Jiao Tong University Shanghai200240 China Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign UrbanaIL United States Department of Neurosurgery Center for Functional Neurosurgery Ruijin Hospital Shanghai Jiao Tong University School of Medicine Shanghai China Division of computational science and technology KTH Royal Institute of Technology Stockholm Sweden Department of Radiation Oncology Mayo Clinic in Arizona PhoenixAZ United States School of Biomedical Engineering ShanghaiTech University Shanghai201210 China Institute of Medical Robotics Shanghai Jiao Tong University Shanghai200240 China

Interventional magnetic resonance imaging (i-MRI) for surgical guidance could help visualize the interventional process such as deep brain stimulation (DBS), improving the surgery performance and patient outcome. Different from retrospective reconstruction in conventional dynamic imaging, i-MRI for DBS has to acquire and reconstruct the interventional images sequentially online. Here we proposed a convolutional long short-term memory (Conv-LSTM) based recurrent neural network (RNN), or ConvLR, to reconstruct interventional images with golden-angle radial sampling. By using an initializer and Conv-LSTM blocks, the priors from the preoperative reference image and intra-operative frames were exploited for reconstructing the current frame. Data consistency for radial sampling was implemented by a soft-projection method. To improve the reconstruction accuracy, an adversarial learning strategy was adopted. A set of interventional images based on the pre-operative and postoperative MR images were simulated for algorithm validation. Results showed with only 10 radial spokes, ConvLR provided the best performance compared with state-of-the-art methods, giving an acceleration up to 40 folds. The proposed algorithm has the potential to achieve real-time i-MRI for DBS and can be used for general purpose MR-guided intervention. Copyright © 2022, The Authors. All rights reserved.

关键词： Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Multimode Ultrastrong Coupling in Three-Dimensional Photonic-Crystal Cavities

arXiv

引用

arXiv 2023年

作者： Tay, Fuyang Mojibpour, Ali Sanders, Stephen Liang, Shuang Xu, Hongjing Gardner, Geoff C. Baydin, Andrey Manfra, Michael J. Alabastri, Alessandro Hagenmüller, David Kono, Junichiro Department of Electrical and Computer Engineering Rice University HoustonTX77005 United States Applied Physics Graduate Program Smalley–Curl Institute Rice University HoustonTX77005 United States Department of Physics and Astronomy Purdue University West LafayetteIN47907 United States Birck Nanotechnology Center Purdue University West LafayetteIN47907 United States Department of Physics and Astronomy Rice University HoustonTX77005 United States School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Smalley–Curl Institute Rice University HoustonTX77005 United States School of Materials Engineering Purdue University West LafayetteIN47907 United States Université de Strasbourg CNRS Strasbourg67000 France Department of Materials Science and NanoEngineering Rice University HoustonTX77005 United States

Recent theoretical studies have highlighted the role of spatially varying cavity electromagnetic fields in exploring novel cavity quantum electrodynamics (cQED) phenomena, such as the potential realization of the elusive Dicke superradiant phase transition. One-dimensional photonic-crystal cavities (PCCs), widely used for studying solid-state cQED systems, have uniform spatial profiles in the lateral plane. Three-dimensional (3D) PCCs, which exhibit discrete in-plane translational symmetry, overcome this limitation, but fabrication challenges have hindered the achievement of strong coupling in 3D-PCCs. Here, we report the realization of multimode ultrastrong coupling in a 3D-PCC at terahertz frequencies. The multimode coupling between the 3D-PCC’s cavity modes and the cyclotron resonance of a Landau-quantized two-dimensional electron gas in GaAs is significantly influenced by the spatial profiles of the cavity modes, leading to distinct coupling scenarios depending on the probe polarization. Our experimental results are in excellent agreement with a multimode extended Hopfield model that accounts for the spatial inhomogeneity of the cavity field. Guided by the model, we discuss the possible strong ground-state correlations between different cavity modes and introduce relevant figures of merit for the multimode ultrastrong coupling regime. Our findings emphasize the importance of spatially nonuniform cavity mode profiles in probing nonintuitive quantum phenomena expected for the ground states of cQED systems in the ultrastrong coupling regime. Copyright © 2023, The Authors. All rights reserved.

关键词： Electron cyclotron resonance

来源：评论

学校读者我要写书评

暂无评论

Photonic Metacrystal: Design and Experimental Results

Photonic Metacrystal: Design and Experimental Results

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： S. Hu M. Khater E. Kratschmer S. Engelmann K. P. Arnold W. M. J. Green S. M. Weiss Department of Electrical and Computer Engineering Vanderbilt University Nashville Tennessee USA IBM T J Watson Center Yorktown Heights New York USA INanoBio Inc Menlo Park CA USA Interdisciplinary Materials Science Program Vanderbilt University Nashville Tennessee USA

Going beyond the limited design freedoms of traditional photonic crystals, we experimentally show how photonic metacrystals exploit the inclusion of subwavelength dielectric scatterers in the unit cell to deterministi... 详细信息

ISBN: (数字)9781957171050

ISBN: (纸本)9781665466660

关键词： Band structures Optical design Photonic crystals Aerospace electronics Laser modes Metamaterials Dielectrics

来源：评论

学校读者我要写书评

暂无评论

A simulated experiment to explore robotic dialogue strategies for people with dementia

arXiv

引用

arXiv 2021年

作者： Yuan, Fengpei Sadovnik, Amir Zhang, Ran Casenhiser, Devin Paek, Eun Jin Yoon, Si On Zhao, Xiaopeng Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee KnoxvilleTN United States Department of Electrical Engineering and Computer Science University of Tennessee KnoxvilleTN United States Department of Electrical and Computer Engineering Miami University OxfordOH United States Department of Audiology and Speech Pathology University of Tennessee Health Science Center KnoxvilleTN United States Department of Communication Sciences and Disorders University of Iowa Iowa CityIA United States

— People with Alzheimer’s disease and related dementias (ADRD) often show the problem of repetitive questioning, which brings a great burden on persons with ADRD (PwDs) and their caregivers. Conversational robots hold promise of coping with this problem and hence alleviating the burdens on caregivers. In this paper, we proposed a partially observable markov decision process (POMDP) model for the PwD-robot interaction in the context of repetitive questioning, and used Q-learning to learn an adaptive conversation strategy (i.e., rate of follow-up question and difficulty of follow-up question) towards PwDs with different cognitive capabilities and different engagement levels. The results indicated that Q-learning was helpful for action selection for the robot. This may be a useful step towards the application of conversational social robots to cope with repetitive questioning in PwDs. Copyright © 2021, The Authors. All rights reserved.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Scaling Limitations of Line TFETs at Sub-8-nm Technology Node

Scaling Limitations of Line TFETs at Sub-8-nm Technology Nod...

引用

2020 International Symposium on VLSI Technology, Systems and Applications, VLSI-TSA 2020

作者： Thoti, Narasimhulu Li, Yiming Kola, Sekhar Reddy Parallel and Scientific Computing Laboratory Eecs International Graduate Program Institute of Communications Engineering Department of Electrical and Computer Engineering Center for MmWave Smart Radar System and Technologies National Chiao Tung University 1001 Ta-Hsueh Rd Hsinchu300 Taiwan

ISBN: (纸本)9781728142326

The scope of the work is to investigate limitations in device scaling by identifying various parameters of short channel effects (SCEs) in current challenging geometries of the line tunnel field effect transistors (TFETs). Key factors of the considered device, such as the doping and the thickness (tn) of n-epitaxial region, and source-to-drain length (LSDeff) scaling cannot be tuned anymore to boost the device characteristics for the sub-8-nm technology node. The main results of this study indicates that the engineering acceptable performance are achieved at a low doping of 5 1018 cm-3, an optimal tn as low (about 0.5 nm), and a LSDeff greater than 12.5 nm. Hence, the line TFETs below sub-8-nm faces serious bottleneck of scaling and cannot be further scaled with the conventional scaling rule at all. © 2020 IEEE.

关键词： Tunnel field effect transistors

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：