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Superior performance of ZnGaO solar-blind photodetectors by Implementing TFT structure and tunable ZnO cycle ratio

Materials Today Chemistry 2024年 38卷

作者： Fan, Hui-Chen Wang, Chen Xu, Yi-Hong Fan, Teng-Min Huang, Pao-Hsun Ruan, Yu-Jiao Wu, Ting-Zhu Kuo, Hao-Chung Wuu, Dong-Sing Lai, Feng-Min Lien, Shui-Yang Xiamen Key Laboratory of Development and Application for Advanced Semiconductor Coating Technology School of Opto-Electronic and Communication Engineering Xiamen University of Technology Xiamen 361024 China School of Ocean Information Engineering Jimei University Jimei District Xiamen 361021 Fujian China National Measurement and Testing Center for Flat Panel Display Industry Xiamen Institute of Measurement and Testing Xiamen 361024 China National Integrated Circuit Industry and Education Integration Innovation Platform Department of Electronic Science Xiamen University Xiamen 361005 China Department of Photonics & Graduate Institute of Electro-Optical Engineering College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu 30010 Taiwan Department of Applied Materials and Optoelectronic Engineering National Chi Nan University Nantou 54561 Taiwan Department of Biomedical Engineering Da-Yeh University Changhua 51591 Taiwan

In this study, plasma enhanced atomic layer deposition was used to prepare ZnGaO thin films with different ZnO cycle ratios from 0 % to 50 %, which were employed to fabricate the MSM-type and TFT-type solar-blind photodetector. The properties of the films and the performance of the solar blind photodetector are greatly affected by the ZnO cycle ratio. Appropriate Zn doping content decreases the ratio of oxygen vacancies and Zn interstitials in Ga₂O₃, while excessive Zn doping degrades the quality of the film. Compared to MSM-type photodetector, an obviously improved performance of ZnGaO TFT-type photodetector has been observed due to its self-amplified photocurrent and the reduced dark current controlled by gate voltage. At a ZnO cycle ratio of 40 %, a superior performance of TFT-type solar-blind photodetector with an ultra-low dark current ∼4.5 × 10⁻¹³ A, an excellent light switching ratio ∼2.2 × 10⁷, and an outstandingly high sensitivity ∼34.31 A/W has been obtained. These results demonstrate that the incorporation of Zn dopants can effectively modulate the performance of Ga₂O₃ TFT-type photodetector providing a great perspective for cost-effective and high-performance solar-blind PDs. © 2024 Elsevier Ltd

关键词： High performance Plasma enhanced atomic layer deposition TFT-Type solar-blind photodetector ZnGaO film ZnO cycle ratio

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Time-Varying Graph Learning with Constraints on Graph Temporal Variation

arXiv

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arXiv 2020年

作者： Yamada, Koki Tanaka, Yuichi Ortega, Antonio Graduate School of BASE Tokyo University of Agriculture and Technology Tokyo 184-8588 Japan Graduate School of BASE Tokyo University of Agriculture and Technology Tokyo 184-8588 Japan PRESTO Japan Science and Technology Agency Kawaguchi 332-0012 Japan Department of Electrical and Computer Engineering University of Southern California Los AngelesCA 90089 United States

We propose a novel framework for learning time-varying graphs from spatiotemporal measurements. Given an appropriate prior on the temporal behavior of signals, our proposed method can estimate time-varying graphs from a small number of available measurements. To achieve this, we introduce two regularization terms in convex optimization problems that constrain sparseness of temporal variations of the time-varying networks. Moreover, a computationally-scalable algorithm is introduced to efficiently solve the optimization problem. The experimental results with synthetic and real datasets (point cloud and temperature data) demonstrate our proposed method outperforms the existing state-of-the-art methods. Copyright © 2020, The Authors. All rights reserved.

关键词： Time varying networks

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Anomaly Detection in Climate Data Using Stacked and Densely Connected Long Short-Term Memory Model

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Journal of computers (Taiwan) 2020年第4期31卷 42-53页

作者： Saleh Abbas, Bahtiar Wahyono, Teguh Heryadi, Yaya Soeparno, Haryono Doctor of Computer Science Binus Graduate Program Bina Nusantara University Jakarta Indonesia Faculty of Information Technology Satya Wacana Christian University Salatiga Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta Indonesia Department of Industrial Engineering Bina Nusantara University Jakarta Indonesia

Climate anomalies are considered as an important factor closely related to many disasters causing many human losses, such as airline crash, wildfires, drought and flooding in many areas. Many researchers have projected that the rising global temperature will increase the draught, especially in the mid-latitude areas. Taking those problems into account, studies on anomaly detection in climate are crucial. While climate prediction aims to analyze and model regular pattern of climate, climate anomaly studies aim to model climate deviation from its previous general patterns. Long Short Term Memory (LSTM) is a method employed in this research because it has been proven to work effectively in several anomaly detection studies, especially for data with similar characteristics. This paper presents empirical results of using Basic LSTM, Densely Connected (DC) LSTM, and Stacked-DC LSTM models to detect temperature anomaly as a manifestation of climate change in Semarang City. The results show that Stacked DC LSTM produced higher accuracy in detecting anomaly than the other two methods. © 2020 computer Society of the Republic of China. All rights reserved.

关键词： Long short-term memory

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Conceptualisation and Development of a values-based scale of emergency physicians’ professional identities

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BMC Medical Education 2023年第1期23卷 400-400页

作者： Chang, Yu-Che Nkambule, Nothando Sithulile Xiao, Xaviera Monrouxe, Lynn Valerie Tseng, Hsu-Min Chang Gung Medical Education Research Centre (CGMERC) Chang Gung Memorial Hospital Linkou Taoyuan Taiwan Department of Emergency Medicine Chang Gung Memorial Hospital Linkou Taoyuan Taiwan Chang Gung University College of Medicine Taoyuan Taiwan International Graduate Program of Education and Human Development National Sun Yat-sen University Yat-sen Taiwan Clinical Competency Center Chang Gung University of Science and Technology Taoyuan Taiwan The Faculty of Medicine and Health School of Health Sciences University of Sydney Sydney NSW Australia Department of Health Care Management Chang Gung University Taoyuan Taiwan

Background: Physicians’ values about what constitute their professional identities are integral in understanding how they ascribe meaning to their practice. However, there is no general consensus on the conceptualization and measurement of physicians’ professional identities. This study developed and validated a values-based scale for measuring physicians’ professional identities. Methods: A hybrid research method was used to gather both qualitative and quantitative data. We employed literature review, semi-structured interview, Q-sorting exercise to examine the conceptualization of emergency physicians’ professional identities and to initially develop a 40-item scale. A panel of five experts assessed the scale’s content validity. Using 150 emergency physicians as our sample, we conducted Confirmatory Factor Analyses (CFA) to test the fit of our hypothesised four-factor model based on our preliminary findings. Results: Initial CFA suggested revisions to the model. Following theoretical assumptions and modification indices, the model was revised and adjusted to a four-factor 20 item Emergency Physicians Professional Identities Value Scale (EPPIVS) with acceptable fit statistics χ2 = 389.38, df = 164, Normed χ2 = 2.374, GFI = 0.788, CFI = 0.862, RMSEA = 0.096. The Cronbach’s alpha, McDonald’s Omega reliability and composite reliability of the subscales ranged from α: 0.748 to 0.868, Omega: 0.759 to 0.868 and CR: 0.748 to 0.851, respectively. Conclusion: The results indicate that the EPPIVS is a valid and reliable scale for measuring physicians’ professional identities. Further research on the sensitivity of this instrument to important changes over career progression in emergency medicine is warranted. © 2023, The Author(s).

关键词： Emergency Physicians Professional identities Scale development Values

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Author Correction: Dynamical flexible inference of nonlinear latent factors and structures in neural population activity

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Nature biomedical engineering 2025年第2期9卷 283页

作者： Hamidreza Abbaspourazad Eray Erturk Bijan Pesaran Maryam M Shanechi Ming Hsieh Department of Electrical and Computer Engineering Viterbi School of Engineering University of Southern California Los Angeles CA USA. Departments of Neurosurgery Neuroscience and Bioengineering University of Pennsylvania Philadelphia PA USA. Ming Hsieh Department of Electrical and Computer Engineering Viterbi School of Engineering University of Southern California Los Angeles CA USA. shanechi@usc.edu. Thomas Lord Department of Computer Science Alfred E. Mann Department of Biomedical Engineering Neuroscience Graduate Program University of Southern California Los Angeles CA USA. shanechi@usc.edu.

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Implementation of Fluid Scheduling Using IPC Control Mechanism

Implementation of Fluid Scheduling Using IPC Control Mechani...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Yuta Tsukahara Yamasaki Nobuyuki Department of Computer Science Graduate School of Science and Technology Keio University Yokohama Japan Keio University Yokohama Japan

In real-time systems such as automobiles, correctness of processing tasks depends not only on its result, but also on time. Real-time scheduling is a basic approache to achieve real-time execution in real-time systems. Fluid scheduling is an optimal real-time scheduling model, which keeps the execution speed of each task proportional to its processor utilization. However, the speed of a task cannot be controlled arbitrarily on a general processor, making it impossible to implement fluid scheduling directly. Therefore, there have been many studies on pseudo fluid scheduling where the algorithm is based on repeat task execution which speed is constant in an interval. We apply the special mechanisms of Responsive MultiThreaded Processor (RMTP) to the novel control mechanism in order to implement fluid scheduling directly. RMTP is a prioritized SMT processor for real-time processing, which has 1. a thread speed control mechanism which controls execution speed of each thread and 2. a context cache enabling context switches in four clock cycles. In this paper, by adding a novel thread speed control mechanism, execution speeds of 40 threads are controlled to be constant over short time intervals, directly making fluid scheduling possible.

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Reversible data hiding in JPEG images based on multiple histograms modification 5th

Reversible data hiding in JPEG images based on multiple hist...

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5th International Conference on Artificial Intelligence and Security, ICAIS 2019

作者： Lu, Xing Huang, Fangjun Kim, Hyoung Joong Guangdong Provincial Key Laboratory of Information Security Technology School of Data and Computer Science Sun Yat-sen University GuangzhouGuangdong510006 China Graduate School of Information Security Korea University Seoul136-701 Korea Republic of

ISBN: (纸本)9783030242701

The joint photographic experts group (JPEG) is the most popular image on the internet nowadays. Therefore, reversible data hiding (RDH), which can be used to ensure the widely used JPEG images' originality and integrity, has attracted more and more attention. However, when performing RDH in JPEG images, besides the embedding capacity and visual quality, which have to be considered for uncompressed images, the storage size of the marked JPEG file should also be considered. In this paper, a new JPEG RDH scheme based on multiple histograms modification is proposed. Firstly, according to zero run length (ZRL) of the discrete cosine transform (DCT) coefficients, multiple DCT coefficient histograms are generated. Then, the message bits are embedded via the histogram shifting algorithm. In order to improve the efficiency of the proposed method, a new adaptive embedding strategy based on the ZRL and the number of zero coefficients in each 8 × 8 block is also proposed. Experimental results show that our method can effectively reduce the increase of image storage size caused by information embedding. © Springer Nature Switzerland AG 2019.

关键词： Graphic methods

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Numerical study of Newtonian fluid flows in t-shaped structures with impermeable walls

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Defect and Diffusion Forum 2019年第1期396卷 177-186页

作者： Da Rosa Pepe, Vinicius Rocha, Luiz Alberto Oliveira Zinani, Flávia Schwarz Franceschini Miguel, Antonio Ferreira Graduate Program in Mechanical Engineering Universidade Federal Do Rio Grande Do sul Rua Sarmento Leite 425 Porto Alegre RS90050-170 Brazil Graduate Program in Mechanical Engineering Universidade Do Vale Do Rio Dos Sinos Av. Unisinos 950 São Leopoldo RS Brazil Department of Physics School of Science and Technology University of Evora Largo dos Colegiais 2 Évora EVR7000 Portugal

This article presents the results of flows in "T" shaped duct bifurcations. The problem is to find the resistance to flow in three-dimensional (3D) structures with different homothetic relationships between sizes (diameters and lengths) of parent and daughter ducts. The method used is the Constructal Design, which is based on the Constructal Theory. The minimization of the global resistance to flow, subjected to geometric constraints of volume and area occupied by the ducts, is the key to search for optimum configurations. The flows investigated were three-dimensional, laminar, incompressible, in steady state, with uniform and constant properties. The results obtained numerically were verified via comparison with analytical results available in the literature. In this work, ranges of length and ratio of diameterss from 0.5 to 1 and 0.1 to 1, respectively, were investigated, for Reynolds numbers equal to 102 and 103. The main results indicate that the T-shaped structure with impermeable walls, agree with Hess-Murray's law. © 2019 Trans Tech Publications Ltd, Switzerland.

关键词： Ducts

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Incommensurate magnetic orders and topological Hall effect in the square-net centrosymmetric EuGa2Al2 system

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Physical Review Materials 2022年第7期6卷 074201-074201页

作者： Jaime M. Moya Shiming Lei Eleanor M. Clements Caitlin S. Kengle Stella Sun Kevin Allen Qizhi Li Y. Y. Peng Ali A. Husain Matteo Mitrano Matthew J. Krogstad Raymond Osborn Anand B. Puthirath Songxue Chi L. Debeer-Schmitt J. Gaudet P. Abbamonte Jeffrey W. Lynn E. Morosan Applied Physics Graduate Program Smalley-Curl Institute Rice University Houston Texas 77005 USA Department of Physics and Astronomy Rice University Houston Texas 77005 USA NIST Center for Neutron Research National Institute of Standards and Technology Gaithersburg Maryland 20899 USA Department of Physics University of Illinois at Urbana-Champaign Urbana Illinois 61801 USA International Center for Quantum Materials School of Physics Peking University CN-100871 Beijing China Department of Physics and Astronomy and Quantum Matter Institute University of British Columbia Vancouver British Columbia Canada V6T 1Z1 Department of Physics Harvard University Cambridge Massachusetts 02138 USA Materials Science Division Argonne National Laboratory Lemont Illinois 60439 USA Department of Materials Science and NanoEngineering Rice University Houston Texas 77005 USA Neutron Scattering Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA Department of Materials Science and Engineering University of Maryland College Park Maryland 20742-2215 USA

Neutron diffraction on the centrosymmetric square-net magnet EuGa2Al2 reveals multiple incommensurate magnetic states (AFM1, 2, 3) in zero field. In applied field, a new magnetic phase (A) is identified from magnetization and transport measurements, bounded by two of the μ0H=0 incommensurate magnetic phases (AFM1, helical, and AFM3, cycloidal) with different moment orientations. Moreover, magnetotransport measurements indicate the presence of a topological Hall effect, with maximum values centered in the A phase. Together, these results render EuGa2Al2 a material with noncoplanar or topological spin texture in applied field. X-ray diffraction reveals an out-of-plane (OOP) charge density wave (CDW) below TCDW∼50 K while the magnetic propagation vector lies in plane below TN=19.5 K. Together these data point to a new route to realizing in-plane noncollinear spin textures through an OOP CDW. In turn, these noncollinear spin textures may be unstable against the formation of topological spin textures in an applied field.

关键词： Charge density waves Exotic phases of matter Hall effect Magnetic phase transitions Magnetotransport Symmetry protected topological states Topological materials

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BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

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Nature methods 2023年第6期20卷 824-835页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtained in many neuroscience laboratories interested in neuron tracing. Here, we report generated gold standard manual annotations for a subset of the available imaging datasets and quantified tracing quality for 35 automatic tracing algorithms. The goal of generating such a hand-curated diverse dataset is to advance the development of tracing algorithms and enable generalizable benchmarking. Together with image quality features, we pooled the data in an interactive web application that enables users and developers to perform principal component analysis, t-distributed stochastic neighbor embedding, correlation and clustering, visualization of imaging and tracing data, and benchmarking of automatic tracing algorithms in user-defined data subsets. The image quality metrics explain most of the variance in the data, followed by neuromorphological features related to neuron size. We observed that diverse algorithms can provide complementary information to obtain accurate results and developed a method to iteratively combine methods and generate consensus reconstructions. The consensus trees obtained provide estimates of the neuron structure ground truth that typically outperform single algorithms in noisy datasets. However, specific algorithms may outperform the consensus tree strategy in specific imaging conditions. Finally, to aid users in predicting the most accurate automatic tracing results without manual annotations for comparison, we used support vector machine regression to predict reconstruction quality given an image volume and a set of automatic tracings.

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