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24th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2024

作者： Tsarapatsani, Konstantina-Helen Tsakanikas, Vasilios D. Sakellarios, Antonis Trampisch, Hans J. Karapintzou, Efterpi Rudolf, Henrik Matsopoulos, George K. Fotiadis, Dimitrios I. Biomedical Research Institute Foundation for Research and Technology-Hellas Ioannina Greece Ruhr University Bochum Department of Medical Informatics Biometry and Epidemiology Bochum Germany University of Ioannina Unit of Medical Technology and Intelligent Information Systems Dept. of Materials Science and Engineering Greece Institute for Biostatistics and Informatics in Medicine and Ageing Research University Medical Center Rostock Germany School of Electrical and Computer Engineering National Technical University of Athens Athens Greece University of Ioannina and Biomedical Research Institute-FORTH Unit of Medical Technology and Intelligent Information Systems Dept. of Materials Science and Engineering Ioannina Greece

ISBN: (纸本)9798331518622

Heart failure (HF) is a complex syndrome that is affected by many factors and causes. It is crucial to early recognize the disease subtypes and the unidentified clinical pathways that give rise to it. Machine learning (ML) is the tool that assist to deal with these challenges and improve the prediction of HF. In this work, the HF risk prediction was implemented by employed ML classifiers, such as Random Forest (RF), Extreme Grading Boosting (XGBoost) and Light Gradient-Boosting Machine (LGBM). We utilized the data from the German epidemiological trial on ankle brachial index - getABI cohort, which includes 6,454 patients. The performance of classifiers was estimated by Accuracy (ACC), Sensitivity, Specificity and the area under the receiver operating characteristic curve (AUC) in mean values for each ML classifier. The results were also interpreted using the Explainable artificial intelligence (XAI) approach, the Shapley Additive exPlanations (SHAP) values. Our work reveals that LGBM classifier predict the HF risk within 5 years follow-up in general population with 68 % accuracy. Moreover, the N-terminal pro-B-type natriuretic peptide (NT-proBNP) was identified as the most important feature for HF risk prediction. © 2024 IEEE.

关键词： Risk perception

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A mobility study of monolayer MoS2 on low-κ/high-κ dielectrics

A mobility study of monolayer MoS2 on low-κ/high-κ dielect...

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Device Research Conference

作者： Zheng Sun Cindy Chen Joshua A. Robinson Zhihong Chen Joerg Appenzeller School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Department of Materials Science and Engineering The Pennsylvania State University University Park PA USA

ISBN: (数字)9798350323108

ISBN: (纸本)9798350323115

The dielectric environment plays a significant role in the performance of transition metal dichalcogenide FETs. In a previous study, a low mobility of monolayer (ML) MoS2 was extracted when located on an ultrathin dielectric [1]. Here, we have performed a comparative study of ML MoS2 on a number of low-κ/high-κ dielectrics and found that the mobility does not depend on the choice of dielectric if an “air gap” between the MoS2 and the dielectric is accounted for. This implies that remote phonon scattering plays a small or no role for the transport in MoS2. Moreover, we observed that mobility is independent on carrier concentrations and limited by intrinsic phonon scattering for both low-κ/high-κ dielectrics.

关键词： Field effect transistors Air gaps Scattering Phonons Dielectrics Sulfur Transition metal dichalcogenides

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Integrated Preparation of Photonic Spin-Orbit Qudits

Integrated Preparation of Photonic Spin-Orbit Qudits

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Conference on Lasers and Electro-Optics (CLEO)

作者： Haoqi Zhao Yichi Zhang Zihe Gao Jieun Yim Shuang Wu Natalia M. Litchinitser Li Ge Liang Feng Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA USA Department of Materials Science and Engineering University of Pennsylvania Philadelphia PA USA Department of Electrical and Computer Engineering and Department of Physics Duke University Durham NC USA Department of Engineering Science and Physics College of Staten Island CUNY Staten Island NY USA The Graduate Center CUNY New York NY USA

ISBN: (纸本)9798350369311

Preparing and manipulating N-dimensional flying qudits as well as subsequently establishing their entanglement are still challenging tasks. Here, using an integrated approach, we explore the synergy from two degrees of freedom of light, spatial mode and polarization, to generate, encode, and manipulate flying photon qudits in a four-dimensional Hilbert space with high quantum fidelity, intrinsically enabling enhanced noise resilience and higher quantum data rates.

关键词： Integrated optics Polarization Optical polarization Laser noise Laser modes Hilbert space Optical noise Electro-optical waveguides Photonics Resilience

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Morphological Investigation and Ph Sensing Properties of β-Ga2O3 Egfet-Ph Sensor

SSRN

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SSRN 2023年

作者： Wuu, Dong-Sing Yadlapalli, Bharath Kumar Chou, Hsin-Yu Chiang, Jung-Lung Department of Materials Science and Engineering National Chung Hsing University Taichung40227 Taiwan Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung411030 Taiwan Department of Applied Materials and Optoelectronic Engineering National Chi Nan University Nantou54561 Taiwan

In our study, β-Ga2O3 particles of various morphologies deposited on FTO glass substrates through hydrothermal method under different pH conditions and pre-stirring temperatures. The particles examined using XRD, FESEM, FTIR and Raman spectroscopy instruments. The results showed that the β-Ga2O3 microrods prepared with pH=3.15 solution at different pre-stirring temperatures followed by hydrothermal reaction had several crystalline orientations ([−401], [002], [403]). The FTIR and Raman spectra measurements confirmed the existence of Ga−O−Ga and Ga−OH bending modes. In the range of pH=3-11, the EGFET-pH sensor prepared with β-Ga2O3 microrods shown a high current-pH sensitivity of 0.541 (mA)1/2 /pH with a linearity of 97.83 % and a high voltage-pH sensitivity of 73.99 mV/pH with linearity of 96.85 %. These results suggest that β-Ga2O3 microrods have pH sensitivity higher than the ideal Nernstian response. This confirms the use of β-Ga2O3 microrods as a sensing membrane in high-performance pH sensors or biosensors. © 2023, The Authors. All rights reserved.

关键词： Gallium compounds

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Ga2O3 nanorods synthesized by hydrothermal method for dual-functional sensing of pH value and glucose

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Sensors and Actuators A: Physical 2023年 363卷

作者： Chou, Hsin-Yu Yadlapalli, Bharath Kumar Yen, Chao-Chun Singh, Anoop Kumar Chiang, Jung-Lung Wuu, Dong-Sing Department of Materials Science and Engineering National Chung Hsing University Taichung40227 Taiwan Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung411030 Taiwan Department of Applied Materials and Optoelectronic Engineering National Chi Nan University Nantou54561 Taiwan

In this work, hydrothermal (HT)-synthesized gallium oxide (Ga2O3) nanorods were applied on indium tin oxide (ITO) glass substrates to create a dual-functional pH-glucose sensing device. Extended-gate field-effect transistors (EGFETs) were designed for pH and glucose sensing, and the response to pH levels ranging from 1 to 11 was tested using both chemical bath deposition (CBD) and high-pressure hydrothermal methods. Two sensor configurations, Ga2O3(CBD)/ITO/glass and Ga2O3(HT)/ITO/glass, were immersed in solution pH1 to 11 and cultured medium for hydrogen ion and glucose sensing. The results demonstrated that, for pH sensing in different samples, both IDS-VDS analysis and IDS-VGS analysis showed superior linearity and sensitivity with the HT method. For glucose detection, the HT method was selected for further experiments due to its maintained concentration-dependent relationship and selectivity towards various common sugars. When using culture medium DMEM as the sample (4.5 mg/ml glucose concentration), the accuracy of glucose estimation reached 99%. Stability and biocompatibility tests were also conducted, and the results indicated consistent performance. In summary, the HT-synthesized Ga2O3 nanorods exhibited high sensitivity, selectivity, and stability without affecting cell growth. Therefore, they hold great potential for applications not only in general blood glucose sensing but also in studying cell microenvironment metabolism. © 2023 Elsevier B.V.

关键词： Nanorods

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Micro-LED backlight module by deep reinforcement learning and micro-macro-hybrid environment control agent

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Photonics Research 2022年第2期10卷 269-279页

作者： Che-Hsuan Huang Yu-Tang Cheng Yung-Chi Tsao Xinke Liu Hao-Chung Kuo College of Materials Science and Engineering Guangdong Research Center for Interfacial Engineering of Functional MaterialsInstitute of Microelectronics(IME)Shenzhen UniversityShenzhen 518060China Department of Photonics&Institute of Electro-Optical Engineering College of Electrical and Computer EngineeringTaiwan Yang Ming Chiao Tung University&Taiwan Chiao Tung UniversityHsinchu 30010China Department of Computer Science University of LiverpoolLiverpoolUK Honhai Semiconductor Research Center TaipeiChina

This paper proposes a micro-LED backlight module with a distributed Bragg reflector(DBR) structure to achieve excellent micro-LED backlight module quality and uses deep reinforcement learning(DRL) architecture for optical design. In the DRL architecture, to solve the computing environment problems of the two extreme structures of micro-scale and macro-scale, this paper proposes an environment control agent and virtual-realistic workflow to ensure that the design environment parameters are highly correlated with experimental results. This paper successfully designed a micro-LED backlight module with a DBR structure by the abovementioned *** micro-LED backlight module with a DBR structure improves the uniformity performance by 32% compared with the micro-LED backlight module without DBR, and the design calculation time required by the DRL method is only 17.9% of the traditional optical simulation.

关键词： methods. agent mentioned

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A Modular UAV Hardware Platform for Aerial Indoor Navigation Research and Development

A Modular UAV Hardware Platform for Aerial Indoor Navigation...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Kyriakos M. Deliparaschos Savvas G. Loizou Argyrios C. Zolotas Electrical and Computer Engineering and Informatics Department Cyprus University of Technology Limassol Cyprusk Department of Mechanical Engineering and Materials Science and Engineering Cyprus University of Technology Limassol Cyprus Centre for Autonomous and Cyber-Physical Systems SATM Cranfield University Cranfield UK

ISBN: (数字)9798350357882

ISBN: (纸本)9798350357899

This study introduces a specialised hardware plat-form designed for indoor navigation, featuring a quadrotor equipped with either a NVIDIA Jetson Nano or a Z-turn Zynq onboard computer. The onboard computer communicates via ROS2 with the flight controller, the Inertial Measurement Unit (IMU), Ultra-WideBand (UWB) localisation system, stereo camera, Light Detection and Ranging (LiDAR), and ultrasonic sensors. The focus is on creating a low-cost modular Unmanned Aerial Vehicle (UAV) system adaptable to various indoor navigation applications. The modular design encompasses different onboard computer platforms and sensor configurations, allowing for easy adaptation to research experiment setups. The objective is to facilitate the transition from simulated and simplified laboratory experiments to deploying aerial robots in challenging real-world conditions. The paper explores the hardware architecture and Robot Operating System 2 (ROS2)-based communication system of the UAV and provides a weight analysis and power estimation.

关键词： Measurement units Indoor navigation Operating systems Autonomous aerial vehicles Hardware Sensor systems Sensors

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Twenty years of e-learning in health science: A bibliometric 7

Twenty years of e-learning in health science: A bibliometric

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7th International Conference on computer science and Computational Intelligence, CSCI 2022

作者： Maulana, Fairuz Iqbal Febriantono, M. Aldiki Raharja, Dwi Risza Budi Khaeruddin Herasmara, Ridho Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Diploma III Electronic Technology Vocational Study Program University of Muhammadiyah Malang Indonesia Electrical Engineering Faculty of Science and Technology Raden Rahmat Islamic University Malang Indonesia

Education about health sciences has historically been limited in the curriculum of health professionals and largely inaccessible to the public. In practice, most of the health science education is still running conventionally. Supposedly with the advancement of technology and the use of the internet everywhere, learning such as e-learning can be important, especially in the health sector. Until this research was conducted, only 514 academic documents about e-learning in health sciences were found for 20 years from 2001 to 2020, obtained in searching on the Scopus database. This study presents a comprehensive overview of studies related to E-learning in the Health sciences sector. This study uses bibliometric analysis and indexed digital methods to map scientific publications throughout the world. This research employs the Scopus database to gather information, as well as the Scopus online analysis tool and Vosviewer to show the bibliometric network. The method consists with five stages: determining search keywords, initial search results, refinement of search results, initial compilation, and data analysis. Among the most published and indexed articles by Scopus, papers published by researchers in the United States have the highest number of publications (80), followed by United Kingdom (63) and Australia with 45 academic publications. The processed data shows the pattern and trend of increasing the number of international publications in E-learning in Health sciences field, which Scopus index. © 2022 Elsevier B.V.. All rights reserved.

关键词： Publishing

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Study on the Flow, Foaming Characteristics and Structural Strength of Polypropylene Structural Foam Injection Molding by Innovative Nitrogen and Molten Plastic Mixing Mechanism

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Polymers 2023年第9期15卷 2116-2116页

作者： Huang, Po-Wei Peng, Hsin-Shu Hwang, Sheng-Jye Huang, Chao-Tsai Program of Mechanical and Aeronautical Engineering Feng Chia University of Engineering and Science Taichung407102 Taiwan Department of Mechanical and Computer Aided Engineering Feng Chia University of Engineering and Science Taichung407102 Taiwan Department of Mechanical Engineering National Cheng Kung University of Engineering Tainan70101 Taiwan Department of Chemical and Materials Engineering Tamkang University of Engineering New Taipei City251301 Taiwan

Plastic foam molding methods include thermoforming, extrusion and injection molding. Injection foam molding is a one-time molding method with high production efficiency and good product quality. It is suitable for foamed plastic products with complex shapes and strict size requirements. It is also the main method for producing structural bubbles. In this investigation, we developed a structural foam injection molding technology using the gas supply equipment connected to the unique plasticizing mechanism of the injection machine and studied its influence on the specimens’ melt rheology quality and foam structures. In the experiment, the forming material was polypropylene (PP), and the gas for mixing/forming foaming characteristics was nitrogen (N2). Additionally, in order to observe the rheological properties of N2/melt mixing, a melt flow specimen mold cavity was designed and the change in the melt viscosity index was observed using a melt pressure sensing element installed at the nozzle position. With the nitrogen supply equipment connected to a unique plasticizing mechanism, the mixing of gas and molten plastic can be achieved at the screw plasticizing stage, where the foaming effect is realized during the melt-filling process due to the thermodynamic instability of the gas. It was also found that an increase in N2 fill content increased melt fluidity, and the trend of melt pressure and melt viscosity index showed that the higher the gas content, the lower the trend. The foaming characteristic depends on the gas thermodynamic instability and the pressure release, so it can be seen from the melt fill path that, the greater the pressure near the gate, the lower the foaming amount and the internal structure (SEM) after molding;the farther from the gate, the greater the relative increase in the foaming growth/amount. This phenomenon will be more obvious when the N2 fill content is increased. © 2023 by the authors.

关键词： Gases

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A Composite TE-TFE-FE Model for Schottky Barrier Reverse Current over the Entire Electric-Field Range

A Composite TE-TFE-FE Model for Schottky Barrier Reverse Cur...

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2022 Device Research Conference, DRC 2022

作者： Li, Wenshen Jena, Debdeep Xing, Huili Grace School of Electrical and Computer Engineering Cornell University IthacaNY14853 United States Cornell University Department of Materials Science and Engineering IthacaNY14853 United States Kavli Institute at Cornell for Nanoscale Science Cornell University IthacaNY14853 United States

ISBN: (数字)9781665498838

ISBN: (纸本)9781665498838

Schottky barriers in wide bandgap (WBG) semiconductors can sustain very large electric fields under reverse bias due to the access of very large barrier heights (>1 eV) and the very high intrinsic breakdown field (>3 MV/cm) of WBG semiconductors [1]. Under high surface electric-fields (E), the ideal reverse-bias leakage current (JR) is dominated by barrier tunneling rather than thermionic emission (TE), thus thermionic-field-emission (TFE) or field-emission (FE) becomes the dominant mechanism [1] [2]. Therefore, to accurately describe the reverse current over the entire surface electric-field range, TFE and FE models are required in addition to the TE model. © 2022 IEEE.

关键词： Thermionic emission

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