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SSRN 2023年

作者： Zimmermann, Thomas Stauch, Claudia Bittel, Laura Jüngling, Natalie Muhamettursun, Mahmut Halik, Marcus Niessner, Jennifer Wintzheimer, Susanne Lyons, Alan Löbmann, Peer Mandel, Karl Department of Chemistry and Pharmacy Inorganic Chemistry Friedrich-Alexander-University Erlangen-Nürnberg Egerlandstrasse 1 ErlangenD91058 Germany Fraunhofer-Institute for Silicate Research ISC Neunerplatz 2 WürzburgD97082 Germany Heilbronn University of Applied Sciences Max-Planck-Straße 39 HeilbronnD74081 Germany Cauerstraße 3 ErlangenD91058 Germany Department of Chemistry College of Staten Island City University of New York Staten IslandNY10314 United States Ph.D. Program in Chemistry The Graduate Center of the City University of New York New YorkNY10016 United States

Soiling of solar cover glass is a major cause for efficiency loss of solar photovoltaic modules. Anti-soiling coatings can be used to reduce the rate of soiling and lower cleaning costs. The efficiency of these coatings has been demonstrated in laboratory and field tests, but the mechanisms and relevant parameters are still not well *** this article, we present a study on the influence of surface structure of hydrophilic sol-gel coatings on their anti-soiling performance in terms of both, dust accumulation and subsequent dust removal by wind. The surface structure of the films originates from the addition of colloidal silica particles of different sizes to the sols used for film preparation. In the dust deposition experiments, standardized test dust and dust collected from solar installations were *** the case of dust deposition, the accumulation of dust particles larger than ~10 µm is strongly reduced by the anti-soiling effect of all coatings regardless of their surface *** the dust removal via wind, coatings that bear a less pronounced surface structure are cleaned more easily than coatings with a more pronounced surface *** larger and rounder dust particles are removed more easily from coatings with a more pronounced surface structure (structure height over ~40 nm), while smaller and more irregularly shaped dust particles are removed more easily from coatings with a less pronounced surface structure. © 2023, The Authors. All rights reserved.

关键词： Coatings

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Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks 21

Explaining heterogeneity in medial entorhinal cortex with ta...

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Proceedings of the 35th International Conference on Neural Information Processing Systems

作者： Aran Nayebi Alexander Attinger Malcolm G. Campbell Kiah Hardcastle Isabel I.C. Low Caitlin S. Mallory Gabriel C. Mel Ben Sorscher Alex H. Williams Surya Ganguli Lisa M. Giocomo daniel L.K. Yamins Neurosciences Ph.D. Program Stanford University Department of Neurobiology Stanford University Neurosciences Ph.D. Program Stanford University and Department of Neurobiology Stanford University and Wu Tsai Neurosciences Institute Stanford University Department of Applied Physics Stanford University Department of Statistics Stanford University and Wu Tsai Neurosciences Institute Stanford University Department of Applied Physics Stanford University and Wu Tsai Neurosciences Institute Stanford University and Facebook AI Research Facebook Inc. Department of Neurobiology Stanford University and Wu Tsai Neurosciences Institute Stanford University Department of Computer Science Stanford University and Department of Psychology Stanford University and Wu Tsai Neurosciences Institute Stanford University

ISBN: (纸本)9781713845393

Medial entorhinal cortex (MEC) supports a wide range of navigational and memory related behaviors. Well-known experimental results have revealed specialized cell types in MEC — e.g. grid, border, and head-direction cells — whose highly stereotypical response profiles are suggestive of the role they might play in supporting MEC functionality. However, the majority of MEC neurons do not exhibit stereotypical firing patterns. How should the response profiles of these more "heterogeneous" cells be described, and how do they contribute to behavior? In this work, we took a computational approach to addressing these questions. We first performed a statistical analysis that shows that heterogeneous MEC cells are just as reliable in their response patterns as the more stereotypical cell types, suggesting that they have a coherent functional role. Next, we evaluated a spectrum of candidate models in terms of their ability to describe the response profiles of both stereotypical and heterogeneous MEC cells. We found that recently developed task-optimized neural network models are substantially better than traditional grid cell-centric models at matching most MEC neuronal response profiles — including those of grid cells themselves — despite not being explicitly trained for this purpose. Specific choices of network architecture (such as gated nonlinearities and an explicit intermediate place cell representation) have an important effect on the ability of the model to generalize to novel scenarios, with the best of these models closely approaching the noise ceiling of the data itself. We then performed in silico experiments on this model to address questions involving the relative functional relevance of various cell types, finding that heterogeneous cells are likely to be just as involved in downstream functional outcomes (such as path integration) as grid and border cells. Finally, inspired by recent data showing that, going beyond their spatial response selectivity, MEC cells

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3d co-cultured multicellular spheroids on microfluidic chip for studying ecm-mediated drug resistance 24

3D co-cultured multicellular spheroids on microfluidic chip ...

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24th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2020

作者： Goudar, Venkanagouda S. Lu, Long-Sheng Koduri, Manohar Prasad Tseng, Fan-Gang Engineering and System Science National Tsing Hua University Hsinchu Taiwan Department of Radiation Oncology Taipei Medical University Hospital Taipei Taiwan International Intercollegiate Ph.D. Program NTHU Hsinchu Taiwan Research Center for Applied Sciences Academia Sinica Taipei Taiwan Frontier Research Center on Fundamental and Applied Sciences of Matters National Tsing Hua University Taiwan

ISBN: (纸本)9781733419017

Among various ECM proteins, collagen type-I is a widely distributed extracellular matrix (ECM) protein expressed in different types of cancers and induces tumor growth and drug resistance. To prove this, in the present work we co-cultured colon cancer cells (HCT-8) and fibroblast cells (NIH3T3) in a PdMS based open welled micro 3d (μ-3d) cell culture chip. This co-culture model was employed to study the interaction of cancer cells and stromal cells and revealed that collagen treatment before chemotherapy can be a game-changer in a colon cancer treatment. © 2020 CBMS-0001

关键词： Microfluidic chips

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Emulating Neuromorphic and In-Memory Computing Utilizing defect Engineering in 2d-Layered WSeOx and WSe2 Thin Films by Plasma-Assisted Selenization Process

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Advanced Functional Materials 2023年第38期33卷

作者： Chaudhary, Mayur Yang, Tzu-Yi Chen, Chieh-Ting Lai, Po-Chien Hsu, Yu-Chieh Peng, Yu-Ren Kumar, Ashish Lee, Chih-Hao Chueh, Yu-Lun Department of Materials Science and Engineering National Tsing-Hua University Hsinchu30013 Taiwan International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu30013 Taiwan College of Semiconductor Research National Tsing-Hua University Hsinchu30013 Taiwan Frontier Research Center on Fundamental and Applied Sciences of Matters National Tsing Hua University Hsinchu30013 Taiwan Department of Physics National Sun Yat-Sen University Kaohsiung80424 Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu30013 Taiwan

The neuromorphic and in-memory computing using memristors are promising for the building of the next generation computing systems. However, the diffusion dynamics of metal ions/atoms inside the switching medium impose variability in conducting filament (CF) formation, thus limiting their use in von-Neumann architecture. The precise modulation on the diffusion of metal ions/atoms and their reduction/oxidation probability holds promise to overcome the speed, size, and energy issues of present-day computers. Here, this study shows that the diffusion of metal ions can be modulated by defects inside the switching medium and confines metal filaments in a precise 1d channel. This filament confinement by the defect engineering leads to an anomalous switching mechanism with two interchangeable modes: unipolar threshold and bipolar modes. The variation between two modes can be modulated by controlling defects in the structures, leading to a uniform switching with low SET/RESET voltage variations of 17.3% and −17.6%, respectively. Moreover, the convolutional neural network is implemented to emulate synaptic plasticity and image recognition to achieve recognition accuracy of 87% due to a highly linear weight update, demonstrating its potential for in-memory computing. © 2023 Wiley-VCH GmbH.

关键词： Image recognition

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PVA-based bioinks for 3d bioprinting: A comprehensive review of their applications in tissue engineering

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Bioprinting 2025年 49卷

作者： Narges Johari Zary Adabavazeh Francesco Baino Materials Engineering Group Golpayegan College of Engineering Isfahan University of Technology Golpayegan Iran Ph.D. Program Graduate Institute of Precision Manufacturing National Chin-Yi University of Technology Taichung Taiwan ROC Institute of Materials Physics and Engineering Department of Applied Science and Technology Politecnico di Torino Torino Italy

3d bioprinting is an innovative approach that overcomes the limitations of traditional methods for creating cell-laden biomaterials and constructs. It allows for the fabrication of complex and biologically active tissue structures. This review aims to provide a comprehensive evaluation of polyvinyl alcohol (PVA)-based bioinks within a 3d bioprinting framework. PVA-based bioinks exhibit remarkable properties, such as biocompatibility, biodegradability, and the ability to enhance cell growth and differentiation. These properties make them appropriate for many tissue engineering applications. The study evaluates the physicochemical and biological properties of PVA bioinks, including how they combine with other materials such as gelatin, chitin, chitosan, alginate, agarose, cellulose, κ-carrageenan, methacrylate, nanoparticles, mineral additives, carbon nanotubes, graphene oxide, and extracellular matrix components. Furthermore, this review evaluates the benefits of market availability and enhanced printing resolution, in addition to the challenges posed by complexity, dependency on support baths, and the risk of contamination. The objective of this review is to draw attention to the capabilities of PVA-based bioinks and provide guidelines for future research to improve the effectiveness of these materials in tissue engineering and regenerative medicine.

关键词： Bioprinting Bioink Polyvinyl alcohol PVA-based bioinks

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CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-dimensional Neuroimaging data

CompressedMediQ: Hybrid Quantum Machine Learning Pipeline fo...

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Acoustics, Speech, and Signal Processing Workshops (ICASSPW), IEEE International Conference on

作者： Kuan-Cheng Chen Yi-Tien Li Tai-Yu Li Chen-Yu Liu Po-Heng Henry Lee Cheng-Yu Chen Department of Electrical and Electronic Engineering Imperial College London London UK Centre for Quantum Engineering Science and Technology (QuEST) Imperial College London London UK Translational Imaging Research Center Taipei Medical University Hospital Taipei Taiwan Research Center for Neuroscience Taipei Medical University Taipei Taiwan Ph.D. Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University Taipei Taiwan National Center for High-Performance Computing NARlabs Hsinchu Taiwan Graduate Institute of Applied Physics National Taiwan University Taipei Taiwan Department of Medical Imaging Taipei Medical University Hospital Taipei Taiwan Department of Radiology National Defense Medical Center Taipei Taiwan Department of Radiology School of Medicine College of Medicine Taipei Taiwan

ISBN: (数字)9798331519315

ISBN: (纸本)9798331519322

This paper introduces CompressedMediQ, a novel hybrid quantum-classical machine learning pipeline specifically developed to address the computational challenges associated with high-dimensional multi-class neuroimaging data analysis. Standard neuroimaging datasets, such as large-scale MRI data from the Alzheimer’s disease Neuroimaging Initiative and Neuroimaging in Frontotemporal dementia, present significant hurdles due to their vast size and complexity. CompressedMediQ integrates classical HPC nodes for advanced MRI pre-processing and Convolutional Neural Network (CNN)-PCA-based feature extraction and reduction, addressing the limited-qubit availability for quantum data encoding in the NISQ era. This is followed by Quantum Support Vector Machine (QSVM) classification. By utilizing quantum kernel methods, the pipeline optimizes feature mapping and classification, enhancing data separability and outperforming traditional neuroimaging analysis techniques. Experimental results highlight the pipeline’s superior accuracy in dementia staging, validating the practical use of quantum machine learning in clinical diagnostics. despite the limitations of NISQ devices, this proof-of-concept demonstrates the transformative potential of quantum-enhanced learning, paving the way for scalable and precise diagnostic tools in healthcare and signal processing.

关键词： Neuroimaging Support vector machines Quantum computing Accuracy Magnetic resonance imaging Pipelines Machine learning Medical services Signal processing Standards

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Boron carbide decorated tungsten disulfide nanosheet composite for determination of chloramphenicol in food and pharmaceutical samples

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Microchemical Journal 2024年 203卷

作者： Senthilkumar, dhayanithi Kuo, Chih-Yu Aldossari, Samar A. Govindasamy, Mani Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei 10608 Taiwan Department of Chemistry P. O. Box 2455 College of Science King Saud University Riyadh 11451 Saudi Arabia Centre for Applied Research Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Tamil Nadu Chennai 602105 India International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan Research Center for Intelligence Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan

Making the nanocomposites of metal oxides or metal sulfides with carbon source materials has a huge impact on the electrochemical determination of toxic chemicals. To determine the adverse side effects of the antibiotics, electrochemical sensors have been used as they can peek into the sensitivity of the drug sample. This work has done the sensitive amperometric evaluation of a chloramphenicol antibiotic by modifying the electrode of tungsten disulfide decorated boron carbide. Here, tungsten disulfide (WS₂) nanosheets and boron carbide (B₄C) materials were synthesized by conventional methods which give a good amount of yield. The composite was prepared by the green and cost-effective sonochemical approach with good morphology. The conductivity of the nanocomposite and the response to chloramphenicol were determined by cyclic voltammetry. The sensitivity, limit of detection (LOd), and the linear range were observed by the highly sensitive amperometric technique. From the amperometric analysis, the prepared nanocomposite shows nominal LOd as a 17.4 nM, a broad linear range (0.025–1134.6 µM), and good sensitivity of 1.52 µA µM⁻¹ cm⁻². Practicability of the modified sensor was studied in food and pharmaceutical samples with adequate recovery performances. Moreover, the modified electrode shows good stability, repeatability, reproducibility, and anti-interfering properties against the array of food and biological interferences. © 2024 Elsevier B.V.

关键词： Amperometric technique Antibiotic detection Boron carbide Food quality test Health analysis Tungsten disulfide

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Biomechanical comparisons of dynamic fixators with rod-rod and screw-spacer joints on lumbar hybrid fixation

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Clinical Biomechanics 2023年 104卷 105943-105943页

作者： Xu, Yu-Kun Weng, Pei-Wei Chen, Shih-Hao Lin, Shang-Chih Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei Taiwan Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Orthopedics Shuang Ho Hospital Taipei Medical University Taipei Taiwan International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei Taiwan Department of Orthopaedics School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Research Center of Biomedical Device Taipei Medical University Taipei Taiwan Tzu Chi General Hospital at Taichung and Tzu Chi University Taiwan

Background: Hybrid fixators with quite different joint design concepts have been widely to suppress adjacent segment degeneration problems. The kinematic and kinetic responses of the adjacent and transition segments and contact behaviors at the bone-screw interfaces served as the objective of this study. Methods: The moderately degenerated L4/L5 and mildly degenerative L3/L4 segments were respectively immobilized by a static fixator and further bridged by the rod-rod (Isobar) and screw-spacer (dynesys) fixator. The joint stiffness and mobility of the rod-rod system and the cable pretension of the screw-spacer system were systematically varied. Findings: The flexion of the screw-spacer system provided higher mobility to the transition segment, reducing adjacent-segment problems. The cable pretension had a minor effect on the construct behavior. However, due to limited joint mobility, the rod-rod system showed higher constraints to the transition segment and induced more adjacent-segment compensations. The increased mobility of the rod-rod joint caused it to behave as a more dynamic fixator that increased adjacent-segment compensations at the transition segment. Comparatively, increasing the joint mobility showed more significant effects on the construct behaviors than decreasing the joint stiffness. Furthermore, increased constraint by the rod-rod joint induced higher stress and risk of loosening at the bone-screw interfaces Interpretation: If the protection of the transition segment is the major concern, the rod-rod system can be used to constrain the intervertebral motion and share the higher loads through the fixator. Otherwise, the screw-spacer system is recommended in situations where higher loads onto the transition disc are allowable. © 2023 Elsevier Ltd

关键词： Screws

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Systematic Surveillance and Meta-Analysis of Antimicrobial Resistance and Food Sources from India and Taiwan

SSRN

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SSRN 2023年

作者： Kumar, Himanshu Mukherjee, Riya Vidic, Jasmina Manzano, Marisa Ahmad, Saheem Raj, V. Samuel Pandey, Ramendra Pati Chang, Chung-Ming SRM University Delhi-NCR Rajiv Gandhi Education City Haryana Sonepat131 029 India Université Paris-Saclay Micalis Institute UMR SADAPT INRAE AgroParisTech Jouy-en-Josas78350 France Department of Agriculture Food Environmental and Animal Sciences University of Udine Udine33100 Italy Department of Medical Laboratory Sciences College of Applied Medical Sciences University of Hail 2440 Saudi Arabia Master and Ph.D. Program in Biotechnology Industry Chang Gung University No.259 Wenhua 1st Rd. Guishan Dist Taoyuan City33302 Taiwan Department of Microbiology

Human exposure to antimicrobial resistance (AMR) through food is now very imperfectly understood, creating a significant gap in the design of interventions. The interchange of AMR genes and the transfer of AMR bacteria from animals to humans through the food chain necessitate comprehensive methods to risk reduction. With a focus on AMR in bacterial species isolated from food products, foods (of both animal and non-animal origin), and ambient samples, the current meta-analysis gathered up-to-date information on the epidemiology of AMR in animal-source food chain. As a result, the combined prevalence of AMR across the various food sources was calculated. From the 18,784 food samples obtained as a result of selected publications, 7,676 (40.9%) samples were contaminated, including 4343 (56.6%) and 3363 (43.4%) samples from Taiwan and India, respectively. Meat (chicken, pork, and beef), fish and milk all have moderate to medium potential for AMR exposure to both Gram-positive and Gram-negative foodborne pathogens such S. aureus, Clostridium, E. coli, Salmonella, etc. Antibiotic resistance to β-lactam, fluoroquinolone, carbapenem etc, is present in the majority of food samples. The results of this study emphasize the persistent danger of antimicrobial residue in animal-derived foods in Taiwan, India, and other nations with comparable customs. © 2023, The Authors. All rights reserved.

关键词： Antibiotics

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Adaptive prediction-based control for an ecological cruise control system on curved and hilly roads

Adaptive prediction-based control for an ecological cruise c...

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作者： Lin, Yu-Chen Nguyen, Ha Ly Thi Balas, Valentina Emilia Lin, Tsung-Chih Kuo, I-Chun Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Ph.D. Program in Electrical and Communications Engineering Feng Chia University Taichung Taiwan Automatics and Applied Software Department Aurel Vlaicu University of Arad ROU Romania Department of Electronic Engineering Feng-Chia University Taichung Taiwan Electronic Control Technology Group RD Division Automotive Research Testing Center Changhua Taiwan

This paper presents an adaptive prediction-based control scheme for developing an ecological cruise control (ECC) system when simultaneous running on the roads with the continuous curves and up-down slopes, which aims to guarantee the driving safety, riding comfort of a vehicle and enhance its fuel efficiency as well. This study is mainly divided into two parts: vehicle longitudinal speed control and vehicle lateral stability control. Firstly, based on GPS data, topographical information, and a fuel consumption model, the prediction based on approximate dynamic programming (AdP) using adaptive fuzzy neural networks (FNNs) is employed to calculate appropriate control signal required for ecological driving. Secondly, to maintain the vehicle stable on the curved road, the vehicle lateral stability control is presented utilizing sliding mode control approach. The effectiveness of the proposed ECC system, in view of stability, improved riding comfort and fuel efficiency, has been validated on the CarSim environment. © 2020 - IOS Press and the authors. All rights reserved.

关键词： Adaptive control systems

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