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A flexible capacitive photoreceptor for the biomimetic retina

Light(Science & Applications) 2022年第1期11卷 38-49页

作者： Mani Teja Vijjapu Mohammed E.Fouda Agamyrat Agambayev Chun Hong Kang Chun-Ho Lin Boon S.Ooi Jr-Hau He Ahmed M.Eltawil Khaled N.Salama Sensors lab Advanced Membranes and Porous Materials CenterComputerElectrical and Mathematical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia Communication and Computing Systems Lab ComputerElectrical and Mathematical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia Department of Electrical Engineering and Computer Science University of California-IrvineIrvineCA 92612USA Department of Electrical Computer and Energy EngineeringArizona State UniversityTempeAZUSA Computer Electrical and Mathematical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia Department of Materials Science and Engineering City University of Hong KongHong Kong SARChina

Neuromorphic vision sensors have been extremely beneficial in developing energy-efficient intelligent systems for robotics and privacy-preserving security *** is a dire need for devices to mimic the retina's photoreceptors that encode the light illumination into a sequence of spikes to develop such ***,we develop a hybrid perovskite-based flexible photoreceptor whose capacitance changes proportionally to the light intensity mimicking the retina's rod cells,paving the way for developing an efficient artificial retina *** proposed device constitutes a hybrid nanocomposite of perovskites(methyl-ammonium lead bromide)and the ferroelectric terpolymer(polyvinylidene fluoride trifluoroethylene-chlorofluoroethylene).A metal-insulator-metal type capacitor with the prepared composite exhibits the unique and photosensitive capacitive behavior at various light intensities in the visible light *** proposed photoreceptor mimics the spectral sensitivity curve of human photopic *** hybrid nanocomposite is stable in ambient air for 129 weeks,with no observable degradation of the composite due to the encapsulation of hybrid perovskites in the hydrophobic *** functionality of the proposed photoreceptor to recognize handwritten digits(MNIST)dataset using an unsupervised trained spiking neural network with 72.05%recognition accuracy is *** demonstration proves the potential of the proposed sensor for neuromorphic vision applications.

关键词： perovskite illumination preserving

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On the particle approximation of lagged Feynman–Kac formulae

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Stochastic Processes and their Applications 2025年 188卷

作者： Awadelkarim, Elsiddig Caffarel, Michel Del Moral, Pierre Jasra, Ajay Applied Mathematics and Computational Science Program Computer Electrical and Mathematical Sciences and Engineering Division King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia University of Toulouse CNRS-Lab. de Chimie et Physique Quantiques Toulouse 31062 France Centre de Recherche Inria Bordeaux Sud-Ouest Talence 33405 France School of Data Science The Chinese University of Hong Kong Shenzhen Shenzhen China

In this paper we examine the numerical approximation of the limiting invariant measure associated with Feynman–Kac formulae. These are expressed in a discrete time formulation and are associated with a Markov chain and a potential function. The typical application considered here is the computation of eigenvalues associated with non-negative operators as found, for example, in physics or particle simulation of rare-events. We focus on a novel lagged approximation of this invariant measure, based upon the introduction of a ratio of time-averaged Feynman–Kac marginals associated with a positive operator iterated l∈N times;a lagged Feynman–Kac formula. This estimator and its approximation using Diffusion Monte Carlo (DMC) are commonly used in the physics literature. In short, DMC is an iterative algorithm involving N∈N particles or walkers simulated in parallel, that undergo sampling and resampling operations. In this work, it is shown that for the DMC approximation of the lagged Feynman–Kac formula, one has an almost sure characterization of the L₁-error as the time parameter (iteration) goes to infinity and this is at most of O(exp{−κl}/N), for κ>0. In addition a non-asymptotic in time, and time uniform L₁−bound is proved which is O(l/N). We also prove a novel central limit theorem to give a characterization of the exact asymptotic in time variance. This analysis demonstrates that the strategy used in physics, namely, to run DMC with N and l small and, for long time enough, is mathematically justified. Our results also suggest how one should choose N and l in practice. We emphasize that these results are not restricted to physical applications;they have broad relevance to the general problem of particle simulation of the Feynman–Kac formula, which is utilized in a great variety of scientific and engineering fields. © 2025 Elsevier B.V.

关键词： Diffusion Monte Carlo Eigenvalue approximation Feynman–Kac formula

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Single-atom nanozymes for electrochemical sensing oxidative stress biomarkers

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Trends in Chemistry 2025年

作者： Veerappan Mani Guillermo Tostado-Blazquez Vinoth Ramalingam Khaled Nabil Salama Sensors Lab Computer Electrical and Mathematical Science and Engineering (CEMSE) Division King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia Centre for Advanced Measurement Research & Health Translation Department of Pure and Applied Chemistry University of Strathclyde Glasgow G1 1XL UK School of Computing Engineering and Technology Robert Gordon University Garthdee Road Aberdeen AB10 7GJ UK

Developing reliable and low-cost sensors for oxidative stress biomarkers has gained significant interest for understanding and managing chronic diseases. Recently, single-atom nanozymes (SANs) with atomically dispersed metal sites and unique metal–nitrogen–carbon (M–N–C) structures have emerged as promising redox enzyme mimetics, offering superior catalytic efficiency and specificity, and with exceptional sensing capabilities for oxidative stress biomarkers such as hydrogen peroxide (H 2 O 2) , nitric oxide (NO), glutathione (GSH), and uric acid (UA). This review discusses key progress, challenges, and future directions in SANs for electrochemical determination of oxidative stress biomarkers, aiming to guide future research toward practical and impactful solutions in healthcare and disease management.

关键词： Biomarkers

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A Numerical Method to Analyze Electromagnetic Fields on Semiconductor Nanostructures

A Numerical Method to Analyze Electromagnetic Fields on Semi...

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2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022

作者： Uulu, Doolos Aibek Chen, Rui Chen, Liang Li, Ping Bagci, Hakan Computer Electrical and Mathematical Science and Engineering Division Electrical and Computer Engineering Program Thuwal23955-6900 Saudi Arabia Shanghai Jiao Tong University Key Lab. of Min. of Educ. of Des. and Electromagnetic Compatibility of High-Speed Electronic Systems Shanghai200240 China

ISBN: (数字)9781665496582

ISBN: (纸本)9781665496582

A coupled system of volume integral and two-fluid hydrodynamic equations is solved to analyze electromagnetic field interactions with non-local dispersion effects on semiconductor nanostructures. This coupled system, where the hydrodynamic currents and the electric flux are the unknowns, is discretized using Schaubert-Wilton-Glisson basis functions. Numerical results obtained using this solver show the presence of so-called acoustic modes at the frequencies lower than the resonance frequency of localized surface plasmon (LSP) mode. These modes cannot be identified if a Drude-like model or the single-fluid hydrodynamic equation is used to represent the electrical properties of the semiconductors. © 2022 IEEE.

关键词： Electromagnetic fields

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DMSS:An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction

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Big Data Mining and Analytics 2024年第3期7卷 577-589页

作者： Yihui Ren Yu Wang Wenkai Han Yikang Huang Xiaoyang Hou Chunming Zhang Dongbo Bu Xin Gao Shiwei Sun Key Lab of Intelligent Information Processing Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190Chinaand with University of Chinese Academy of SciencesBeijing 100049China Syneron Technology Guangzhou 510000China College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China Computer Science Program ComputerElectrical and Mathematical Sciences and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Kingdom of Saudi Arabia Insitute of Computing Technology Chinese Academy of SciencesBeijing 100190China with Western Institute of Computing Technology Chongqing 400000China

Accurate prediction of peptide spectra is crucial for improving the efficiency and reliability of proteomic analysis,as well as for gaining insight into various biological *** this study,we introduce Deep MS Simulator(DMSS),a novel attention-based model tailored for forecasting theoretical spectra in mass *** has undergone rigorous validation through a series of experiments,consistently demonstrating superior performance compared to current methods in forecasting theoretical *** superior ability of DMSS to distinguish extremely similar peptides highlights the potential application of incorporating our predicted intensity information into mass spectrometry search engines to enhance the accuracy of protein *** findings contribute to the advancement of proteomics analysis and highlight the potential of the DMSS as a valuable tool in the field.

关键词： mass spectrometry proteomics machine learning deep learning

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Molybdenum trioxide (MoO3) Capacitive Soil Moisture Microsensor for In-situ Agriculture Applications: Measurement Studies and Temperature Effects

Molybdenum trioxide (MoO3) Capacitive Soil Moisture Microsen...

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IEEE sensors

作者： Sandeep G Surya Saravanan Yuvaraja Khaled N. Salama Maryam Shojaei Baghini Vinay S Palaparthy Sensors lab Advanced Membranes and Porous Materials Center Computer Electrical and Mathematical Science and Engineering Division King Abdullah University of Science and Technology (KAUST) Saudi Arabia Department of Electrical Engineering Indian Institute of Technology Bombay India

The soil moisture sensor is of utmost importance in agriculture due to issues including water conservation and disease prediction. This work presents the design and development of a molybdenum trioxide (MoO_3) based capacitive soil moisture microsensor. The sensor comprises an interigitated electrode (IDE) on a silicon wafer and MoO_3 is drop cast on IDE, which acts as the sensing film. IDE on Si wafer is mounted on the printed circuit board (PCB) and electrical contacts are taken out. During the lab measurements, we observed changes of 153 pF to 400 pF for different soil moisture ranges of 7% to 55% respectively in the black clayey soil. The response time for the fabricated microsensors is around 120 seconds in the soil for all types of measurements. Further, the change in response of the sensor is 16% when the temperature varies from 25 ℃ to 50 ℃. Thus, we conclude that MoO_3 is one of the potential oxides in the capacitive sensor platform and can be used for the in-situ soil moisture sensing.

关键词： Soil moisture microsensors Molybdenum trioxide (MoO_3) based sensors Agriculture application

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Large language models for diabetes training:a prospective study

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Science Bulletin 2025年第6期70卷 934-942页

作者： Haoxuan Li Zehua Jiang Zhouyu Guan Yuqian Bao Yuexing Liu Tingting Hu Jiajia Li Ruhan Liu Liang Wu Di Cheng Hongwei Ji Yong Wang Ya-Xing Wang Carol Y.Cheung Yingfeng Zheng Jihong Wang Zhen Li Weibing Wu Cynthia Ciwei Lim Yong Mong Bee Hong Chang Tan Elif I.Ekinci David C.Klonoff Justin B.Echouffo-Tcheugui Nestoras Mathioudakis Leonor Corsino Rafael Simó Charumathi Sabanayagam Gavin Siew Wei Tan Ching-Yu Cheng Tien Yin Wong Huating Li Chun Cai Lijuan Mao Lee-Ling Lim Yih-Chung Tham Bin Sheng Weiping Jia Shanghai University of Sport Shanghai 200438China School of Clinical Medicine Beijing Tsinghua Changgung HospitalTsinghua MedicineTsinghua UniversityBeijing 100084China Beijing Visual Science and Translational Eye Research Institute(BERI) Tsinghua MedicineTsinghua UniversityBeijing 100084China Shanghai Belt and Road International Joint Laboratory of Intelligent Prevention and Treatment for Metabolic Diseases Department of Computer Science and EngineeringSchool of ElectronicInformationand Electrical EngineeringShanghai Jiao Tong UniversityDepartment of Endocrinology and MetabolismShanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai Diabetes InstituteShanghai Clinical Center for DiabetesShanghai 200240China MoE Key Lab of Artificial Intelligence Artificial Intelligence InstituteShanghai Jiao Tong UniversityShanghai 200240China Department of Cardiology the Affiliated Hospital of Qingdao UniversityQingdao 266011China CEMS NCMISHCMSMADISAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Mathematics University of Chinese Academy of SciencesChinese Academy of SciencesBeijing 100049China Key Laboratory of Systems Health Science of Zhejiang Province School of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China Beijing Institute of Ophthalmology Beijing Tongren HospitalCapital Medical UniversityBeijing Ophthalmology and Visual Sciences Key LaboratoryBeijing 100730China k.Department of Ophthalmology and Visual Sciences The Chinese University of Hong KongHong Kong 999077China State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangdong Provincial Key Laboratory of Ophthalmology and Visual ScienceGuangdong Provincial Clinical Research Center for Ocular DiseasesGuangzhou 510060China Department of Renal Medicine Singapore General HospitalSingHealth-Duke Academic Medical CentreSingapore169

Diabetes poses a considerable global health challenge,with varying levels of diabetes knowledge among healthcare professionals,highlighting the importance of diabetes *** Language Models(LLMs)provide new insights into diabetes training,but their performance in diabetes-related queries remains uncertain,especially outside the English language like *** first evaluated the performance of ten LLMs:ChatGPT-3.5,ChatGPT-4.0,Google Bard,LlaMA-7B,LlaMA2-7B,Baidu ERNIE Bot,Ali Tongyi Qianwen,MedGPT,HuatuoGPT,and Chinese LlaMA2-7B on diabetes-related queries,based on the Chinese National Certificate Examination for Primary Diabetes Care in China(NCE-CPDC)and the English Specialty Certificate Examination in Endocrinology and Diabetes of Membership of the Royal College of Physicians of the United ***,we assessed the training of primary care physicians(PCPs)without and with the assistance of ChatGPT-4.0 in the NCE-CPDC examination to ascertain the reliability of LLMs as medical *** found that ChatGPT-4.0 outperformed other LLMs in the English examination,achieving a passing accuracy of 62.50%,which was significantly higher than that of Google Bard,LlaMA-7B,and *** the NCE-CPFC examination,ChatGPT-4.0,Ali Tongyi Qianwen,Baidu ERNIE Bot,Google Bard,MedGPT,and ChatGPT-3.5 successfully passed,whereas LlaMA2-7B,HuatuoGPT,Chinese LLaMA2-7B,and LlaMA-7B ***-4.0(84.82%)surpassed all PCPs and assisted most PCPs in the NCE-CPDC examination(improving by 1%–6.13%).In summary,LLMs demonstrated outstanding competence for diabetes-related questions in both the Chinese and English language,and hold great potential to assist future diabetes training for physicians globally.

关键词： Diabetes Diabetestraining Largelanguagemodels Primarydiabetescare Prospectivestudy

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Comparative study of coherent, non-coherent, and semi-coherent integration schemes for GNSS receivers

Comparative study of coherent, non-coherent, and semi-cohere...

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63rd Annual Meeting of the Institute of Navigation 2007

作者： Miller, Mikel Nguyen, Thao Yang, Chun Blasch, Erik Air Force Research Lab. MNG Air Force Research Lab. SNRN Sigtem Technology Inc. Air Force Research Lab. SNAA Department of Electrical and Computer Engineering Miami University of Ohio Advanced Guidance Division Munitions Directorate Air Force Research Laboratory Eglin AFB FL Department of EE AFIT Miami University of Ohio ION RTN IEEE AIAA Assessment and Integration Branch Sensors Directorate Air Force Research Laboratory WPAFB OH AFIT SPIE Wright-Patterson AFB OH Reference Systems Branch Sensors Directorate Air Force Research Laboratory WPAFB OH

ISBN: (纸本)1604232862

Three integration schemes, namely, coherent, noncoherent, and semi-coherent integration, and their variants are described in this paper for signal detection and tracking in such applications as pulsed Doppler radar and GPS receiver. We adopt a unified approach to present such integration schemes as best approximations to the likelihood ratio test (LRT) when the signal models are partially known to different extents. Formulas for the conditional probability density functions (pdfs) of the sufficient statistic under alternative hypotheses as well as the probability of detection (Pd) and probability of false alarm (Pfa) are given. Integration improvement factors and integration losses are then formulated. Connections of the semi-coherent integration scheme to the cyclic autocorrelation function, the discrete-time Wigner-Ville transform, and the radar ambiguity function are also outlined. Although most of the results are available in the literature, they are scattered in different textbooks and research papers. By presenting them in a cohesive and concise manner, the paper can serve as (1) an introductory material with key references for those who would like to study the subject further, (2) a quick reference for those who would like to compare these integration schemes, and (3) an integrated approach under varying conditions. Simulation results are presented to compare these integration schemes in terms of detection performance (P d and Pfa) as a function of signal to noise ratio (SNR) and integration interval under two operating conditions. One is for a signal with constant Doppler frequency and the other is for a linear frequency modulation signal (i.e., a chirp signal). We show the curves of the input SNR required under different chirp rates so as to maintain the same detection performance, the resulting LRTs for the different approaches, as well as simulated comparisons between trade-offs of Pd versus SNR.

关键词： Signal receivers

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computer-Aided Lung Auscultation Screening and Radiographic Evaluation of Pediatric Pneumonia 46

Computer-Aided Lung Auscultation Screening and Radiographic ...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Kala, Annapurna Chong, Daniel Baqui, Abdullah H. Ahmed, Salahuddin Islam, Asmd Ashraful Chowdhury, Nabid Roy, Arunangshu McCollum, Eric D. Elhilali, Mounya Johns Hopkins University Lab. for Computational Audio Perception Dpt. Electrical & Computer Engineering United States Projahnmo Research Foundation Dhaka Bangladesh Johns Hopkins University Bloomberg School of Public Health Dpt. International Health United States Johns Hopkins School of Medicine Global Program in Pediatric Respiratory Sciences Eudowood Division of Pediatric Respiratory Sciences Dpt. Pediatrics Baltimore United States

ISBN: (纸本)9798350371499

While chest auscultations provide an accessible and low-cost tool for pediatric pneumonia diagnosis, its subjectivity and low reliability continues to hinder its inclusion in global pneumonia guidelines;eventhough more robust tools like chest radiography also suffer from cost and accessibility issues. Advances in computer-aided analytics is offering more robust tools for interpreting digital auscultation signals though little has been done to explore variations of lung sounds across different chest positions and the correspondence between auscultations and specific radiographic findings. The present study explores interpretation of lung auscultations across chest positions in a pediatric pneumonia population, using a deep neural network classification of normal and abnormal breathing patterns. The results reveal a strong alignment between computer-aided auscultation findings and radiographic interpretation not only in terms of presence of adventitious lung patterns, but also in terms of localizing the abnormality along the left or right lung. Though evaluated in a small clinical population, this research underscores the potential of computer-aided auscultation analysis as a cost-effective substitute for radiography in resource-limited settings. © 2024 IEEE.

关键词： Deep neural networks

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Indium phosphide MEMS for integrated bio-sensing

Indium phosphide MEMS for integrated bio-sensing

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International Symposium Semiconductor Device Research (ISDRS)

作者： N. Siwak M.W. Pruessner J. McGee R. Ghodssi MEMS Sensors and Actuators Lab (MSAL) Department of Electrical and Computer Engineering Institute for Systems Research University of Maryland College Park MD USA Photonics Technology Branch Optical Sciences Division Naval Research Laboratory Inc. Washington D.C. DC USA

We present a MEMS cantilever resonator sensing platform in InP utilizing an optical readout scheme for applications in biosensing. Devices with resonant frequencies as high as 1 MHz are demonstrated with Q factors of ... 详细信息

关键词： Indium phosphide Micromechanical devices Optical waveguides Resonant frequency Optical sensors Biomedical optical imaging Frequency measurement Optical resonators Detectors Biosensors

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