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Microscopy Histopathology and Analytics, Microscopy 2020

作者： Wang, Hongda Rivenson, Yair Jin, Yiyin Wei, Zhensong Gao, Ronald Günaydin, Harun Bentolila, Laurent A. Kural, Comert Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los AngelesCA90095 United States California NanoSystems Institute University of California Los AngelesCA90095 United States Computer Science Department University of California Los AngelesCA90095 United States Department of Chemistry and Biochemistry University of California Los AngelesCA90095 United States Department of Physics Ohio State University ColumbusOH43210 United States Biophysics Graduate Program Ohio State University ColumbusOH43210 United States Department of Surgery David Geffen School of Medicine University of California Los AngelesCA90095 United States

We demonstrate single-image super-resolution in fluorescence microscopy using a trained neural-network, matching the resolution of structured illumination microscopy (SIM). This performance is achieved without any par... 详细信息

ISBN: (纸本)9781943580743

关键词： Fluorescence microscopy

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Acoustic Power Divider Based on Compressibility-Near-Zero Propagation

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Physical Review Applied 2020年第2期14卷 024057-024057页

作者： Hussein Esfahlani Matthew S. Byrne Andrea Alù Electrical Engineering Institute École Polytechnique Fedérale de Lausanne (EPFL) CH-1015 Lausanne Switzerland Department of Electrical & Computer Engineering The University of Texas at Austin Austin Texas 78712 USA Photonics Initiative Advanced Science Research Center New York New York 10031 USA Kymeta Corporation Redmond Washington 98052 USA Naval Surface Warfare Center Carderock Division West Bethesda Maryland 20817 USA Physics Program Graduate Center New York New York 10016 USA

Materials with properties that can be described by a near-zero index of refraction have received significant attention in the fields of electromagnetics, optics, and acoustics, due to their extraordinary capabilities in wave manipulation. It was recently demonstrated theoretically and experimentally that acoustic waves could manifest near-zero-index propagation based on the effective compressibility of a waveguide channel approaching zero. In turn, this allows tunneling of acoustic waves with nearly infinite wavelength (or equivalently, uniform phase) when the channel cross section is much larger than the feeding lines. Here, we show that these concepts can be leveraged to realize an acoustic power divider and multiplexer offering tunneling of sound to an arbitrary number of output ports, with phase shifts equal to 0° or 180° and robust response to variations in the port position. We present analytical and numerical models describing the properties of this device and study limitations and trade-offs that occur in the presence of losses as the device size is scaled.

关键词： Acoustic metamaterials Acoustic wave phenomena Acoustics

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An Open-Source Knowledge Graph Ecosystem for the Life Sciences

arXiv

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arXiv 2023年

作者： Callahan, Tiffany J. Tripodi, Ignacio J. Stefanski, Adrianne L. Cappelletti, Luca Taneja, Sanya B. Wyrwa, Jordan M. Casiraghi, Elena Matentzoglu, Nicolas A. Reese, Justin Silverstein, Jonathan C. Hoyt, Charles Tapley Boyce, Richard D. Malec, Scott A. Unni, Deepak R. Joachimiak, Marcin P. Robinson, Peter N. Mungall, Christopher J. Cavalleri, Emanuele Fontana, Tommaso Valentini, Giorgio Mesiti, Marco Gillenwater, Lucas A. Santangelo, Brook Vasilevsky, Nicole A. Hoehndorf, Robert Bennett, Tellen D. Ryan, Patrick B. Hripcsak, George Kahn, Michael G. Bada, Michael Baumgartner, William A. Hunter, Lawrence E. Computational Bioscience Program University of Colorado Anschutz Medical Campus AuroraCO80045 United States Department of Biomedical Informatics Columbia University Irving Medical Center New YorkNY10032 United States Computer Science Department Interdisciplinary Quantitative Biology University of Colorado Boulder BoulderCO80301 United States AnacletoLab Computer Science Department University of Milan 20122 Italy Intelligent Systems Program University of Pittsburgh PittsburghPA15260 United States Department of Physical Medicine and Rehabilitation School of Medicine University of Colorado Anschutz Medical Campus AuroraCO80045 United States Division of Environmental Genomics and Systems Biology Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Semanticly Ltd Athens Greece Department of Biomedical Informatics University of Pittsburgh School of Medicine PittsburghPA15206 United States Laboratory of Systems Pharmacology Harvard Medical School BostonMA02115 United States Division of Translational Informatics University of New Mexico School of Medicine AlbuquerqueNM87131 United States SIB Swiss Institute of Bioinformatics Basel Switzerland Berlin Institute of Health at Charité-Universitatsmedizin Berlin10117 Germany ELLIS European Laboratory for Learning and Intelligent Systems Germany Department of Biomedical Informatics University of Colorado School of Medicine AuroraCO80045 United States Data Collaboration Center Critical Path Institute 1840 E River Rd. Suite 100 TucsonAZ85718 United States Computer Electrical and Mathematical Sciences & Engineering Division Computational Bioscience Research Center King Abdullah University of Science and Technology Thuwal23955-6900 Saudi Arabia Department of Pediatrics University of Colorado School of Medicine AuroraCO80045 United States Janssen Research and Development RaritanNJ08869 United States Division of General Internal Medicine University of Colorado School of Medicine A

Translational research requires data at multiple scales of biological organization. Advancements in sequencing and multi-omics technologies have increased the availability of these data, but researchers face significant integration challenges. Knowledge graphs (KGs) are used to model complex phenomena, and methods exist to construct them automatically. However, tackling complex biomedical integration problems requires flexibility in the way knowledge is modeled. Moreover, existing KG construction methods provide robust tooling at the cost of fixed or limited choices among knowledge representation models. PheKnowLator (Phenotype Knowledge Translator) is a semantic ecosystem for automating the FAIR (Findable, Accessible, Interoperable, and Reusable) construction of ontologically grounded KGs with fully customizable knowledge representation. The ecosystem includes KG construction resources (e.g., data preparation APIs), analysis tools (e.g., SPARQL endpoints and abstraction algorithms), and benchmarks (e.g., prebuilt KGs and embeddings). We evaluated the ecosystem by systematically comparing it to existing open-source KG construction methods and by analyzing its computational performance when used to construct 12 large-scale KGs. With flexible knowledge representation, PheKnowLator enables fully customizable KGs without compromising performance or usability. © 2023, CC BY.

关键词： Ecosystems

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Literature Review of Religion Video Game

Literature Review of Religion Video Game

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2019 International Congress on Applied Information Technology, AIT 2019

作者： Wibawa, Setya Chendra Rahayu, Yuni Sri Wrahatnolo, Tri Vindy, V. Warnars, Harco Leslie Hendric Spits Hashimoto, Kiyota Universitas Negeri Surabaya Jawa Timur Informatics Department 60213 Indonesia Universitas Negeri Surabaya Jawa Timur Biology Department 60213 Indonesia Universitas Negeri Surabaya Jawa Timur Electrical Engineering Department 60213 Indonesia Game Application Technology Program School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia Faculty of Technology and Environment Prince Songkla University Thailand

ISBN: (纸本)9781728158624

In this current digital era, the video game is favorite especially among young people. Besides widely known as a form of entertainment, some messages or lessons can be learned from a video game that may affect the players. Conscious or unconscious, games have influenced many sectors of life, and it has been recognized as a serious game and no exception to religion. Human as a living creature, like or dislike or even as an atheist should believe with something out there, and religion is as a medium which connects human with something out there. The game as a representation of entertaining, intelligent application will represent joy and happiness in human life's activities, and inevitably games will influence human religion. In the end, religion game will help the human to increase their faith in those their belief based on their religion. Similar to Information Technology which is implemented in business to increase revenue, the game as an entertaining intelligent application will increase human's faith. One kind of video game that provides it is religion video games which are the result of the incorporation between religion and video games. In this paper, we do a literature review about religion video games. We try to summarize how religious elements can be incorporated into a video game which can be seen from the parts, components, and approaches of the religion video game itself. We also try to summarize the positive side and controversies in religion video games. © 2019 IEEE.

关键词： Serious games

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Comparison of Algebraic Reconstruction Technique Methods and Generative Adversarial Network in Image Reconstruction of Magnetic Induction Tomography (MIT)

引用

Journal of Physics: Conference Series 2021年第1期2071卷

作者： A J Lubis N F Mohd Nasir Z Zakaria M Jusoh M M Azizan M Z Zakaria M N F M Kazim S Rahman Faculty of Engineering and Computer Science Universitas Harapan Medan Medan Indonesia Computer Engineering Program Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Perlis Malaysia Biomedical Electronic Engineering Program Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Perlis Malaysia Sports Engineering Research Centre (SERC) Universiti Malaysia Perlis PerlisMalaysia Department of Electrical and Electronic Department Faculty of Engineering and Built Environment Universiti Sains Islam Malaysia Negeri Sembilan Malaysia Faculty of Mechanical Engineering Technology Universiti Malaysia Perlis Perlis Malaysia Mechatronic Engineering Program Faculty of Electrical Engineering Technology Universiti Malaysia Perlis Perlis Malaysia

Magnetic induction tomography (MIT) is a technique used for imaging electromagnetic properties of objects using eddy current effects. The non-linear characteristics had led to more difficulties with its solution especially in dealing with low conductivity imaging materials such as biological tissues. Two methods that could be applied for MIT image processing which is the Generative Adversarial Network (GAN) and the Algebraic Reconstruction Technique (ART). ART is widely used in the industry due to its ability to improve the quality of the reconstructed image at a high scanning speed. GAN is an intelligent method which would be able to carry out the training process. In the GAN method, the MIT principle is used to find the optimum global conductivity distribution and it is described as a training process and later, reconstructed by a generator. The output is an approximate reconstruction of the distribution's internal conductivity image. Then, the results were compared with the previous traditional algorithm, namely the regularization algorithm of BPNN and Tikhonov Regularization method. It turned out that GAN had able to adjust the non-linear relationship between input and output. GAN was also able to solve non-linear problems that cannot be solved in the previous traditional algorithms, namely Back Propagation Neural Network (BPNN) and Tikhonov Regularization method. There are several other intelligent algorithms such as CNN (Convolution Neural Network) and K-NN (K-Nearest Neighbor), but such algorithms have not been able to produce the expected image quality. Thus, further study is still needed for the improvement of the image quality. The expected result in this study is the comparison of these two techniques, namely ART and GAN to get the best results on the image reconstruction using MIT. Thus, it is shown that GAN is a better candidate for this purpose.

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Requirements specification and evaluation for transient faults in communication protocols based on RT-FRIDA framework

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IFAC-PapersOnLine 2018年第10期51卷 76-81页

作者： Roque, Alexandre S. Nunes, Gerson L. Freitas, Edison P. Pereira, Carlos E. Graduate Program in Electrical Engineering Federal University of Rio Grande do Sul UFRGS Porto Alegre Brazil Computer Science and Engineering Department Regional Integrated University of High Uruguay and Missions URI Santo Angelo Brazil

This paper presents an evaluation of requirements specification for two critical real-time control systems, which depends of industrial communications protocols. It is proposed the use of aspect-oriented modeling (AOM) to map transient fault behaviors in design phases, with RT-FRIDA framework extended for fault modeling capabilities. Requirements specification for an Active suspension control system and for a fault detection control system applied in agricultural implements was made as case study. Faults are specified as non-functional requirements and evaluated applying a quantitative softgoal weight method. Results presented indicates aspect-oriented fault modeling as an important ally to specify faults that have potential to degrade performance of real-time control systems. © 2016

关键词： Suspensions (components) Active suspension systems Agricultural implements Control systems Fault detection Fault tree analysis Interactive computer systems Network protocols Real time control Real time systems Specifications Active suspension control Aspect oriented Aspect Oriented Modeling Industrial communications Non functional requirements Requirements analysis Requirements specifications Transient faults

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Biphenylene monolayer as a two-dimensional nonbenzenoid carbon allotrope: A first-principles study

arXiv

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arXiv 2021年

作者： Bafekry, Asadolah Faraji, M. Fadlallah, M.M. Jappor, H.R. Karbasizadeh, S. Ghergherehchi, M. Gogova, D. Department of Radiation Application Shahid Beheshti University Tehran*** Iran Micro and Nanotechnology Graduate Program TOBB University of Economics and Technology Sogutozu Caddesi No 43 Sogutozu Ankara06560 Turkey Department of Physics Faculty of Science Benha University Benha13518 Egypt Department of Physics College of Education for Pure Sciences University of Babylon Hilla Iraq Department of Physics Isfahan University of Technology Isfahan84156-83111 Iran Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of Department of Physics University of Oslo P.O. Box 1048 Blindern Oslo Norway

In a very recent accomplishment, the two-dimensional form of Biphenylene network (BPN) has been successfully fabricated [Fan et al., Science, 372, 852-856 (2021)]. Motivated by this exciting experimental result on 2D layered BPN structure, herein we perform detailed density functional theory-based first-principles calculations, for the first time, in order to gain insight into the structural, electronic and optical properties of this promising nanomaterial. Our theoretical results reveal the BPN structure is constructed from three rings of tetragon, hexagon and octagon, meanwhile the electron localization function shows very strong bonds between the C atoms in the structure. The dynamical stability of BPN is verified via the phonon band dispersion calculations. The mechanical properties reveal the brittle behavior of BPN monolayer. The Young's modulus has been computed as 0.1 TPa, which is smaller than the corresponding value of graphene, while the Poisson's ratio determined to be 0.26 is larger than that of graphene. The band structure is evaluated to show the electronic features of the material;determining the BPN monolayer as metallic with a band gap of zero. The optical properties (real and imaginary parts of the dielectric function, and the absorption spectrum) uncover BPN as an insulator along the zz direction, while owning metallic properties in xx and yy directions. We anticipate that our discoveries will pave the way to the successful implementation of this new 2D allotrope of carbon in advanced nanoelectronics. © 2021, CC BY.

关键词： Monolayers

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Label Free MicroRNA Biomarker Detection in Serum Samples for Diagnosis Applications at Point-of Care

Label Free MicroRNA Biomarker Detection in Serum Samples for...

引用

IEEE Research and Applications of Photonics In Defense Conference (RAPID)

作者： Logeeshan Velmanickam Rounak Pokharel Ivan T. Lima Dharmakeerthi Nawarathna Department. of Electrical and Computer Engineering North Dakota State University Fargo ND USA Biomedical Engineering Program North Dakota State University Fargo ND USA

Biomarker testing is the first step toward diagnosis of many diseases including cancer, cardiovascular and infections. In addition to traditional circulating biomarkers such as protein, DNA and RNA, microRNAs (miRNAs) could also be used to accurately map the disease related biological changes at tissue, organ or cellular level. One of the roadblocks for using miRNA in diagnosis is the accurate detection of panel of miRNA biomarkers in clinical samples. Current detection methods are expensive, lacking sensitivity and specificity for clinical samples. In addition, to minimize the degradation, miRNA need to be detected within 30 min of sample collection and current detection methods will take hours to days. To address this critical issue, we have developed a new method where we used molecular-field interactions to concentrate target miRNA near micro-electrodes in the disposable device. We then used electrical impedance to quantify the target miRNAs. Our results show that proposed method could detect miRNAs that are in pico-molar levels.

关键词： Cancer Electrodes Force DNA Impedance Dielectrophoresis

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A Therapist Helping Hand for Walker-Assisted Gait Rehabilitation: A Pre-Clinical Assessment

A Therapist Helping Hand for Walker-Assisted Gait Rehabilita...

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IEEE Colombian Conference on Automatic Control (CCAC)

作者： Sergio D. Sierra M. Mario F. Jimenez Marcela C. Múnera Teodiano Bastos Anselmo Frizera-Neto Carlos A. Cifuentes Department of Biomedical Engineering Julio Garavito Bogotá D.C. Colombia Department of Bioengineering Graduate Program El Bosque University Bogotá D.C. Colombia Graduate Program on of Electrical Engineering Federal University of Espírito Santo Vitoria Brazil

Smart Walkers are robotic devices commonly used to improve physical stability and sensory support for people with lower limb weakness or cognitive impairments. Even though such devices offer continuous monitoring during physical rehabilitation, providing a tool to empower therapists might reduce their efforts and increase patient's safety during gait therapies. The implementation of remote-operation strategies enable therapy managers to remote control and assess the smart walker and user information. In this context, this paper presents a new strategy to control and perceive a walker-assisted gait therapy, by means of a haptic joystick with three operational modes. A set of path following tasks were implemented to validate the operational modes. The kinematic estimation error was calculated, and it was found a decrease in the error, when feedback modes were used. Likewise, results from an usability and acceptance questionnaire show better participant's understating of visual feedback mode, and higher effort perception under haptic feedback mode. This interaction strategy represents a potential joystick application as a safety and control interface in walker-assisted gait.

关键词： Medical treatment Haptic interfaces Safety Usability Robot sensing systems

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Inference of social cognition in schizophrenia patients with neurocognitive domains and neurocognitive tests using automated machine learning

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Asian journal of psychiatry 2024年 91卷 103866页

作者： Eugene Lin Chieh-Hsin Lin Hsien-Yuan Lane Department of Biostatistics University of Washington Seattle WA 98195 USA Department of Electrical & Computer Engineering University of Washington Seattle WA 98195 USA Graduate Institute of Biomedical Sciences China Medical University Taichung Taiwan. Graduate Institute of Biomedical Sciences China Medical University Taichung Taiwan Department of Psychiatry Kaohsiung Chang Gung Memorial Hospital Chang Gung University College of Medicine Kaohsiung Taiwan School of Medicine Chang Gung University Taoyuan Taiwan. Electronic address: cyndi36@***. Department of Psychiatry China Medical University Hospital Taichung Taiwan Brain Disease Research Center China Medical University Hospital Taichung Taiwan Department of Psychology College of Medical and Health Sciences Asia University Taichung Taiwan. Electronic address: hylane@***.

AIM:It has been suggested that single neurocognitive domain or neurocognitive test can be used to determine the overall cognitive function in schizophrenia using machine learning algorithms. It is unknown whether social cognition in schizophrenia patients can be estimated with machine learning based on neurocognitive domains or neurocognitive tests. METHODS:To predict social cognition in schizophrenia, we applied an automated machine learning (AutoML) framework resulting from the analysis of predictive factors such as six neurocognitive domain scores and nine neurocognitive test scores of 380 schizophrenia patients in the Taiwanese population. Four clinical parameters (i.e., age, gender, subgroup, and education) were also used as predictive factors. We utilized an AutoML framework called Tree-based Pipeline Optimization Tool (TPOT) to generate predictive pipelines automatically. RESULTS:The analysis revealed that all neurocognitive domains and tests except the reasoning and problem solving domain/test showed significant associations with social cognition. In addition, a TPOT-generated pipeline can best predict social cognition in schizophrenia using seven predictive factors, including five neurocognitive domains (i.e., speed of processing, sustained attention, working memory, verbal learning and memory, and visual learning and memory) and two clinical parameters (i.e., age and gender). This predictive pipeline consists of machine learning algorithms such as function transformers, an approximate feature map, independent component analysis, and linear regression. CONCLUSION:The study indicates that an AutoML framework such as TPOT may provide a promising way to produce truly effective machine learning pipelines for predicting social cognition in schizophrenia using neurocognitive domains and/or neurocognitive tests.

关键词： Automated machine learning Neurocognitive domain Neurocognitive test Schizophrenia Social cognition

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