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Novel Techniques in Microscopy, NTM 2021 - Part of Biophotonics Congress: Optics in the Life sciences 2021

作者： Zhao, Junxiang Lee, Yeon Ui Ma, Qian Khorashad, Larousse Khosravi Posner, Clara Li, Guangru Wisna, Bimananda G.M. Burns, Zachary Zhang, Jin Liu, Zhaowei Department of Electrical and Computer Engineering University of California San Diego 9500 Gilman Drive San diegoCA92093 United States Department of Pharmacology University of California San Diego 9500 Gilman Drive San diegoCA92093 United States Material Science and Engineering Program University of California San Diego 9500 Gilman Drive San diegoCA92093 United States

We developed a wide field of view super resolution microscopy technology, i.e. speckle metamaterial-assisted illumination nanoscopy (speckle-MAIN), showing biological imaging with resolution down to 40nm. © 2021 ... 详细信息

ISBN: (纸本)9781557528209

关键词： Metamaterials

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Economics of Semantic Communication System: An Auction Approach

arXiv

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arXiv 2022年

作者： Liew, Zi Qin Du, Hongyang Yang, Wei Lim, Bryan Xiong, Zehui Niyato, Dusit Miao, Chunyan Kim, Dong In Alibaba-NTU Singapore Joint Research Institute Nanyang Technological Univerity Singapore The School of Computer Science and Engineering The Energy Research Institute NTU Interdisciplinary Graduate Program Nanyang Technological University Singapore The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore The School of Computer Science and Engineering Nanyang Technological University Singapore The School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore Nanyang Technological University Singapore639798 Singapore The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of

Semantic communication technologies enable wireless edge devices to communicate effectively by transmitting semantic meaning of data. Edge components, such as vehicles in next-generation intelligent transport systems, use well-trained semantic models to encode and decode semantic information extracted from raw and sensor data. However, the limitation in computing resources makes it difficult to support the training process of accurate semantic models on edge devices. As such, edge devices can buy the pretrained semantic models from semantic model providers, which is called "semantic model trading". Upon collecting semantic information with the semantic models, the edge devices can then sell the extracted semantic information, e.g., information about urban road conditions or traffic signs, to the interested buyers for profit, which is called "semantic information trading". To facilitate both types of the trades, effective incentive mechanisms should be designed. Thus, in this paper, we propose a hierarchical trading system to support both semantic model trading and semantic information trading jointly. The proposed incentive mechanism helps to maximize the revenue of semantic model providers in the semantic model trading, and effectively incentivizes model providers to participate in the development of semantic communication systems. For semantic information trading, our designed auction approach can support the trading between multiple semantic information sellers and buyers, while ensuring individual rationality, incentive compatibility, and budget balance, and moreover, allowing them achieve higher utilities than the baseline method. Copyright © 2022, The Authors. All rights reserved.

关键词： Commerce

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Leveraging Computational Pathology AI for Noninvasive Optical Imaging Analysis Without Retraining

arXiv

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arXiv 2024年

作者： Barash, Danny Manning, Emilie Van Vleck, Aidan Hirsch, Omri Aye, Kyi Lei Li, Jingxi Scumpia, Philip O. Ozcan, Aydogan Aasi, Sumaira Rieger, Kerri E. Sarin, Kavita Y. Freifeld, Oren Winetraub, Yonatan Department of Computer Science Ben Gurion University Be'er Sheva8499000 Israel Department of Structural Biology Stanford University StanfordCA94305 United States Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Division of Dermatology University of California Los AngelesCA90095 United States Department of Dermatology Stanford University School of Medicine StanfordCA94305 United States Department of Pathology Stanford University School of Medicine Stanford Cancer Institute StanfordCA94305 United States The Bio-X Program StanfordCA94305 United States

Noninvasive optical imaging modalities can probe patient's tissue in 3D and over time generate gigabytes of clinically relevant data per sample. There is a need for AI models to analyze this data and assist clinical workflow. The lack of expert labelers and the large dataset required (>100,000 images) for model training and tuning are the main hurdles in creating foundation models. In this paper we introduce FoundationShift, a method to apply any AI model from computational pathology without retraining. We show our method is more accurate than state of the art models (SAM, MedSAM, SAM-Med2D, CellProfiler, Hover-Net, PLIP, UNI and ChatGPT), with multiple imaging modalities (OCT and RCM). This is achieved without the need for model retraining or fine-tuning. Applying our method to noninvasive in vivo images could enable physicians to readily incorporate optical imaging modalities into their clinical practice, providing real time tissue analysis and improving patient care. © 2024, CC BY-NC-ND.

关键词： Medical imaging

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Personnel System Development with Integrated Military Education Information System (MEIS) in Supporting the Personnel Position and Career 7

Personnel System Development with Integrated Military Educat...

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7th International Conference on ICT for Smart Society, ICISS 2020

作者： Setyaningrum, Leli Supangkat, Suhono H. Warnars, Harco Leslie Hendric Spits Abraham, Juneman Abdurachman, Edi Bina Nusantara University Doctorate Program of Computer Science Jakata Barat11530 Indonesia Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung40132 Indonesia Nusantara University Graduate Program Doctor of Computer Science Bina Computer Science Department BINUS Jakarta11530 Indonesia Bina Nusantara University BINUS Faculty of Humanities Psychology Department Jakarta11480 Indonesia

ISBN: (纸本)9781665404228

Personnel and education data very important for organizations, including the military. All data related to military personnel will give effect positions and careers in the military field. The integration of personnel and education data can assist in processing and decision making. An analysis is needed so that the developed system can be useful for the long term. Analysis with IT balanced scorecard and COBIT® 2019, will be able to help and fill the gaps in the existing system based on the objectives of the military organization itself. It is shown that the domains BAI05 (Managed Organizational Change) and DSS02 (Managed Service Requests and Incidents) are still not being implemented well. The system developed will have the features and capabilities to support the organization in achieving its goals, including in the field of staffing and education. Besides, it provides convenience in making decisions in terms of positions related to personnel careers. © 2020 IEEE.

关键词： Decision making

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Accelerating adoption of species-agnostic plant sensors for precision farming

Nature Reviews Electrical Engineering

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Nature Reviews electrical engineering 2025年 58-70页

作者： Abdullah Bukhamsin Khaled Nabil Salama Jürgen Kosel Ikram Blilou Bioengineering Program Biological and Environmental Science and Engineering (BESE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia Center of Excellence — Sustainable Food Security (SFS) King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia Electrical and Computer Engineering Program Computer Electrical and Mathematical Sciences and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia Sensor Systems Division Silicon Austria Labs Villach Austria Plant Science Program Biological and Environmental Science and Engineering (BESE) Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia

Precision farming is an optimized management farming scheme that seeks to link the real-time needs of crops with the nutrients to be administered. Sensing platforms that can monitor the physiological status of crops in situ are key to enabling timely and localized interventions. However, the underdevelopment of plant sensing strategies limits the potential of precision farming. In this Review, we discuss the challenges and advancements in phyto-monitoring, focusing on strategies that are applicable to a wide range of plant species and suitable for field deployment. We explore species-agnostic sensors, including optical and electrochemical sensors, whose operation is based on principles that are widely applicable to all plant species. These platforms enable real-time monitoring of the physiological state of crops by assessing key biomarkers, such as plant hormones, and metabolites such as salicylic acid and reactive oxygen species. Evaluating these systems, we conclude that an integrative sensing approach is necessary to compensate for the limitations of the individual methods and can provide a holistic view of crop health. Cost-effective species-agnostic sensors are thus needed to provide information that can be used to minimize the resource footprint of farming and meet the growing global demand.

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Scientometric Analysis of Artificial Intelligence Research in Agriculture

Scientometric Analysis of Artificial Intelligence Research i...

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International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)

作者： Fairuz Iqbal Maulana Andi Pramono Miftahul Hamim Sukeipah Yuli Prihatin Rahman Arifuddin Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Interior Design Department School of Design Bina Nusantara University Jakarta Indonesia Entrepreneurship Business Creation BINUS Business School Bina Nusantara University Jakarta Indonesia Informatics Study Program Politeknik Kota Malang Malang Indonesia Department of Electrical Engineering University of Merdeka Malang Malang Indonesia

ISBN: (纸本)9781665473286

Artificial Intelligence Research in Agriculture has grown so common, and the potential they provide is so revolutionary that it is considered essential for competitive growth. Until we conducted this research, only 1064 academic documents on Trends of Artificial Intelligence Research in Agriculture that we found from 2012 to 2021 were obtained by searching the Scopus database. This study uses bibliometric analysis methods to map scientific publications worldwide. We use an article selection process, the year limitation, then the database is exported to RIS and CSV format files. Researchers in the United States had the most published articles and were indexed by Scopus among the most prolific authors ( $\mathrm{N}=287$ ), followed by the United Kingdom at second ( $\mathrm{N}=139$ ) and Italy with 66 academic publications. Data analysis reveals an increasing trend in the number of Trends of Artificial Intelligence Research in Agriculture publications worldwide, as measured by the Scopus index.

关键词： Data analysis Databases Multimedia systems Bibliometrics Market research Agriculture Indexes

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Direct measure of DNA bending by quantum magnetic imaging of a nano-mechanical torque-balance

arXiv

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arXiv 2024年

作者： Kazi, Zeeshawn Shelby, Isaac M. Nirodi, Ruhee Turnbull, Joseph Watanabe, Hideyuki Itoh, Kohei M. Wiggins, Paul A. Fu, Kai-Mei C. Department of Physics University of Washington SeattleWA98105 United States National Institute of Advanced Industrial Science and Technology Tsukuba Central 2 1-1-1 Umezono Tsukuba Ibaraki305-8568 Japan School of Fundamental Science and Technology Keio University 3-14-1 Hiyoshi Kohoku-ku Yokohama223-8522 Japan Department of Bioengineering University of Washington SeattleWA98105 United States Department of Electrical and Computer Engineering University of Washington SeattleWA98105 United States Physical Sciences Division Pacific Northwest National Laboratory RichlandWA99354 United States

DNA flexibility is a key determinant of biological function, from nucleosome positioning to transcriptional regulation, motivating a direct measurement of the bend-torque response of individual DNA molecules. In this work, DNA bending is detected using a nano-mechanical torque balance formed by tethering a ferromagnetic nanoparticle probe by an individual DNA molecule to a diamond magnetic field imager. The torque exerted by the DNA in response to bending caused by an applied magnetic torque is measured using wide-field imaging of quantum defects near the surface of the diamond. Qualitative measurements of differences in DNA bio-mechanical binding configuration are demonstrated, and as a proof-of-principle, a quantitative measurement of the bend response is made for individual DNA molecules. This quantum-enabled measurement approach could be applied to characterize the bend response of biophysically relevant short DNA molecules as well as the sequence dependence of DNA bending energy. © 2024, CC BY.

关键词： DNA

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Noninvasive multichannel urodynamic system: Obtaining cutaneous electrical signals from the human urinary bladder

Lifestyle Medicine

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Lifestyle Medicine 2024年第1期5卷

作者： Kurniawan, Jonas F. Lee, Sanghee Le, Hoang-Kim Nguyen, Andrew K. L. Sit, Nathan L. J. Pham, Timothy Tjhia, Boris Gottlieb, Ryan Li, Carleen Shin, Andrew J. Garcia, Hassler Bueno Wu, Vincent M. Mendoza, Tris R DiPina, Thomas Ornelas, Gladys Chiang, George Jamieson, Christina A. M. Santiago-Lastra, Yahir Coleman, Todd P. Department of Bioengineering University of California San Diego La Jolla CA United States Materials Science and Engineering Program University of California San Diego La Jolla CA United States Department of Bioengineering Stanford University Stanford CA United States Department of Urology University of California San Diego La Jolla CA United States Pediatric Urology Rady Children's Hospital San Diego San Diego CA United States Department of Urology Baylor Scott & White Temple TX United States Department of Physics University of California San Diego La Jolla CA United States Department of Electrical and Computer Engineering University of California San Diego La Jolla CA United States Department of Nanoengineering University of California San Diego La Jolla CA United States Department of Materials Science and Engineering Stanford University Stanford CA United States Division of Pediatric Urology University of California San Diego La Jolla CA United States

We developed a high-resolution and noninvasive multichannel urodynamic system combined with a novel signal-processing algorithm tailored to extract electromyographic (EMG) activity from the urinary bladder. We utilized a flexible noninvasive biopotential recording system to collect an array of EMG signals from the urinary bladder of human subjects. This study also presents the use of an existing artifact rejection methodology to autonomously extract an EMG signal from an environment prone to motion artifacts. © 2023 The Authors. Lifestyle Medicine published by John Wiley & Sons Ltd.

关键词： electrical signal from the urinary bladder flexible electronics noninvasive multichannel urodynamic study voluntary voiding

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Landau Polaritons in a Full-Dielectric Three-Dimensional Photonic-Crystal Cavity

Landau Polaritons in a Full-Dielectric Three-Dimensional Pho...

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CLEO: science and Innovations, S and I 2022

作者： Tay, Fuyang Mojibpour, Ali Liang, Shuang Baydin, Andrey Ahmadivand, Arash Peraca, Nicolas Marquez Xu, Hongjing Gardner, Geoff C. Manfra, Michael J. 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 Smalley-Curl Institute Rice University HoustonTX77005 United States Department of Physics and Astronomy Rice University HoustonTX77005 United States Microsoft Quantum Purdue Purdue University West LafayetteIN47907 United States School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 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

ISBN: (纸本)9781557528209

We fabricated a full-dielectric three-dimensional photonic-crystal cavity containing an ultrahigh-mobility two-dimensional electron gas. By applying a strong perpendicular magnetic field, we created Landau polaritons originating from the ultrastrong coupling of electrons with cavity modes. © Optica Publishing Group 2022, © 2022 The Author(s)

关键词： Polariton

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Electrocatalytic on-site oxygenation for transplanted cell-based-therapies

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Nature Communications 2023年第1期14卷 7019页

作者： Lee, Inkyu Surendran, Abhijith Fleury, Samantha Gimino, Ian Curtiss, Alexander Fell, Cody Shiwarski, Daniel J. Refy, Omar Rothrock, Blaine Jo, Seonghan Schwartzkopff, Tim Mehta, Abijeet Singh Wang, Yingqiao Sipe, Adam John, Sharon Ji, Xudong Nikiforidis, Georgios Feinberg, Adam W. Hester, Josiah Weber, Douglas J. Veiseh, Omid Rivnay, Jonathan Cohen-Karni, Tzahi Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh PA United States Department of Biomedical Engineering Northwestern University Evanston IL United States Department of Bioengineering Rice University Houston TX United States Department of Chemical Engineering Carnegie Mellon University Pittsburgh PA United States Department of Electrical and Computer Engineering Northwestern University Evanston IL United States Department of Biomedical Engineering Carnegie Mellon University Pittsburgh PA United States Department of Physics Carnegie Mellon University Pittsburgh PA United States Department of Computer Science Northwestern University Evanston IL United States Department of Material Science and Engineering The Pennsylvania State University State College PA United States Neuroscience Institute Carnegie Mellon University Pittsburgh PA United States Simpson Querrey Institute Northwestern University Chicago IL United States Interactive Computing and Computer Science Georgia Institute of Technology Atlanta GA United States Department of Mechanical Engineering Carnegie Mellon University Pittsburgh PA United States Department of Materials Science and Engineering Northwestern University Evanston 60208 IL United States

Implantable cell therapies and tissue transplants require sufficient oxygen supply to function and are limited by a delay or lack of vascularization from the transplant host. Previous exogenous oxygenation strategies have been bulky and had limited oxygen production or regulation. Here, we show an electrocatalytic approach that enables bioelectronic control of oxygen generation in complex cellular environments to sustain engineered cell viability and therapy under hypoxic stress and at high cell densities. We find that nanostructured sputtered iridium oxide serves as an ideal catalyst for oxygen evolution reaction at neutral pH. We demonstrate that this approach exhibits a lower oxygenation onset and selective oxygen production without evolution of toxic byproducts. We show that this electrocatalytic on site oxygenator can sustain high cell loadings (>60k cells/mm³) in hypoxic conditions in vitro and in vivo. Our results showcase that exogenous oxygen production devices can be readily integrated into bioelectronic platforms, enabling high cell loadings in smaller devices with broad applicability. © 2023, The Author(s).

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