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A multimodal integrative approach to model transcriptional addiction of thyroid cancer on RUNX2

Cancer Communications 2022年第9期42卷 892-896页

作者： Emanuele Vitale Elisabetta Sauta Mila Gugnoni Federica Torricelli Veronica Manicardi Alessia Ciarrocchi Laboratory of Translational Research Azienda Unità Sanitaria Locale-IRCCS di Reggio EmiliaReggio Emilia 42123Italy Clinical and Experimental Medicine PhD Program University of Modena and Reggio EmiliaModena 41121Italy Department of Electrical Computer and Biomedical EngineeringUniversity of PaviaPavia 27100Italy

Dear Editor Aberrant gene expression sustains massive proliferation and stress adaptation under the regulation of oncogenic transcription factors(TFs)whose binding across the genome orchestrates in space and time *** dependency defines the addiction of cancer cells to TFs on top of the regulatory hierarchy governing cancer dysregulated programs[1].These factors and their dependent mechanisms are an attractive and unexplored reservoir of potential targets for new anticancer ***,while the transcriptional landscape of many cancer-supportive TFs has been revealed,this information remains purely descriptive and confined to in vitro *** foster transferability,new approaches that integrate clinical data into the transcriptional networks are needed.

关键词： addiction modal reservoir

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Towards cross-modal causal structure and representation learning 2

Towards cross-modal causal structure and representation lear...

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2nd Machine Learning for Health Symposium, ML4H 2022

作者： Mao, Haiyi Liu, Hongfu Xiaotian Dou, Jason Benos, Panayiotis V. Joint CMU-Pitt PhD Program in Computational Biology University of Pittsburgh United States Michtom School of Computer Science Brandeis University United States Department of Electrical and Computer Engineering University of Pittsburgh United States Department of Epidemiology University of Florida United States

Does the SARS-CoV-2 virus cause patients' chest X-Rays ground-glass opacities? Does an IDH-mutation cause differences in patients' MRI images? Conventional causal discovery algorithms, although well developed to uncover the cause-effect relationships on structured data, cannot elucidate causal relations between unstructured images and structured scalar variables due to the complexity of the former. In this paper, we consider causal discovery between images and structured (scalar) variables. Specifically, we derive low dimensional image representations to analyze with structured variables. We propose a two-module amortized variational algorithm named Cross-Modal Variational Causal representation and structure Learning (CMCL). CMCL jointly learns identifiable representations given a set of independent structured variables and causal relations via formulating latent representations and structured variables into a direct acyclic graph. Moreover, we further enforce counterfactual invariance/variance onto representations. We demonstrate that CMCL outperforms other related methods on synthetic datasets and validate causal relations on semi-synthetic datasets by visualization. © 2022 P.N. Argaw, E. Healey & I.S. Kohane.

关键词： Coronavirus

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A Storage and Transmission Joint Planning Method for Centralized Wind Power Transmission

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Computers, Materials & Continua 2021年第7期68卷 1081-1097页

作者： Xiuyu Yang Qi Guo Jianzhong Gui Renyong Chai Xueyuan Liu Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University) Jilin132012China Electrical Engineering-PHD program at the University of Idaho Idaho83843America State Grid Jiangxi Power Supply Company Xinyu338025China

Centralized delivery has become the main operation mode under the scaled development of wind *** channels are usually the guarantee of out-delivered wind power for large-scale wind *** configuration of transmission capacity,which has the features of low utilization and poor economy,is hardly matching correctly due to the volatility and low energy density of *** usage of energy storage can mitigate wind power fluctuations and reduce the requirement of out-delivery transmission capacity,but facing the issue of energy storage cost ***,it is necessary to optimize the allocation of energy storage while considering the problem of wind power *** paper studies the joint optimization of large-scale wind power transmission capacity and energy storage,reveals the mechanism of energy storage in order to reduce the power fluctuation of wind power base and slow down the demand of ***,analyze the multi-functional cost-sharing mode of energy storage,improve the efficiency of energy storage cost *** the coordination optimization configuration model to deal with the problem of large-scale wind power transmission capacity and energy storage,and realizes the transmission capacity optimization coordination and optimization with energy *** proposed method is verified by a wind base located in Northeast China.

关键词： Wind farm group energy storage configuration transmission capacity coordination and optimization

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Development of 5G Cyber-Physical Production System

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International Journal of Networked and Distributed Computing 2023年第1期11卷 9-19页

作者： Huang, Hsuan-Chao Tsai, Chun-Hsien Lin, Hsiung-Cheng Department of Computer Science and Information Engineering National Chin-Yi University of Technology No. 57 Sec. 2 Zhongshan Rd Taiping Dist Taichung Taiwan PhD program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology No. 57 Sec. 2 Zhongshan Rd Taiping Dist Taichung Taiwan Department of Electronic Engineering National Chin-Yi University of Technology No. 57 Sec. 2 Zhongshan Rd Taiping Dist Taichung Taiwan

The cyber-physical production system (CPPS) was developed for the interconnection between operational technology (OT) and information and communication technology (ICT) among the machines and decentralized production control. However, OT and ICT are now getting more complex in the modern industry. To enhance industrial management and production process, the CPPS based on the 5G architecture under production environments can provide a more comprehensive solution in the context of Industry 4.0. For this purpose, a 5G CPPS model to improve the interoperability of CPPS in ICT and OT is proposed to build a virtualized Industry 4.0 asset management shell system. First, real-time task artifacts and 5G communication modules are bound in a certain form of virtualization. Second, task artifacts are released to the production line in a real-time scheduling. Third, an order is placed on a production line and split into multiple tasks for production process. Single-machine single-workpiece and multi-machine and multi-workpiece processing cases are used for testing in the production line. Experimental results show that the proposed 5G CPPS can efficiently achieve multi-machine work piece processing. © 2022, The Author(s).

关键词： 5G Cyber-physical production system (CPPS) Digital twin (DT) Industry 4.0 Information technology Operational technology

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Efficient photodecoloration catalysts, based on ZnO nanoparticles coated in two steps on glass substrates 19

Efficient photodecoloration catalysts, based on ZnO nanopart...

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19th International Conference on electrical engineering, Computing Science and Automatic Control, CCE 2022

作者： Dominguez-Flores, R. Estrella-Suarez, M.V. Vega-Perez, J. Maldonado, A. Centro de Investigación y de Estudios Avanzados Del I.P.N. Nanoscience and Nanotechnology PhD Program Mexico City Mexico Instituto Tecnológico de Tlalnepantla Department of Electrical Engineering State of Mexico Mexico Sees Centro de Investigación y de Estudios Avanzados Del I.P.N. Department of Electrical Engineering Mexico City Mexico

ISBN: (数字)9781665455084

ISBN: (纸本)9781665455084

ZnO, ZnO:Ag and ZnO:Cu thin coatings were prepared on glass substrates by an innovative dip-coating technique coupled with the addition of ZnO nanoparticles and their structural, morphological and optical properties were investigated. X-ray Diffraction (XRD) analysis revealed the coatinǵs hexagonal wurtzite phase with a preferred (002) plane orientation. The mean crystallite size calculated on the basis of the Debye-Scherrer model was 31 nm and a small dislocation density of 1.04×10-3 nm-2 was obtained, indicating the existence of few lattice defects and good crystallinity. The atomic force microscopy (AFM) observation showed the coatinǵs granular nature composed of spherical nanoparticles with almost homogeneous distribution. The average transmittance in the visible región is around 75-80% and optical bandgap, 3.25 eV, respectively were obtained for our coatings indicating their suitability in photocatalytic applications. UV-vis spectrometry reveals a methylene blue (MB) dye decoloration efficiency of 96% after 180 min using ZnO:Ag (3:3 layers) film. © 2022 IEEE.

关键词： II-VI semiconductors

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Probabilistic Power Flow Analysis Based on Low Rank Approximation and Principle Component Analysis

Probabilistic Power Flow Analysis Based on Low Rank Approxim...

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2020 International Conference on Power, Energy and Innovations, ICPEI 2020

作者： Laowanitwattana, Jirasak Uatrongjit, Sermsak Chiang Mai University PhD's Degree Program in Electrical Engineering Faculty of Engineering Chiang Mai Thailand Chiang Mai University Faculty of Engineering Department of Electrical Engineering Chiang Mai Thailand

ISBN: (纸本)9781728172408

Probabilistic power flow (PPF) analysis is usually applied for evaluating the effects of uncertain parameters on power system performances. This paper presents a technique to enhance the arbitrary polynomial chaos expansion (aPCE) based PPF analysis technique when applying to system with many uncertain parameters. The proposed method represents a power system response as low rank approximation (LRA). In addition, the principle component analysis (PCA) is applied to reduce the number of uncertain parameters and also de-correlate them. This combination enables the proposed method to perform PPF of the power system having large number of uncertain parameters. Based on preliminary numerical results on the modified IEEE 57-bus system, it can be noticed that the proposed modified method is able to find accurate statistical characteristics of the responses but uses less computation time compared to the MCS based PPF analysis. © 2020 IEEE.

关键词： Uncertainty analysis

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What Role Do Aggregators Play in Power System Security and Resilience?

What Role Do Aggregators Play in Power System Security and R...

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Resilience Week (RWS)

作者： Reiko Matsuda-Dunn Laura Leddy Eliza Hotchkiss Mukesh Gautam Michael Abdelmalak National Renewable Energy Laboratory Golden CO USA Advanced Energy Systems PhD Program Colorado School of Mines Colorado School of Mines Golden CO USA Department of Electrical and Biomedical Engineering University of Nevada at Reno Reno NV USA

Barriers to the participation of distributed energy resources (DERs) in wholesale electricity markets have limited the use of DERs for power system security and resilience. In September 2020, the Federal Energy Regulatory Commission (FERC) approved an order to reduce these barriers. FERC Order No. 2222 enables the participation of DER aggregators in wholesale electricity markets. DERs include renewable generation and technologies that support the integration of renewable generation by increasing grid flexibility and resilience. Requiring wholesale energy markets to allow DER aggregator participation provides a path for DERs to become competitive in these markets. As the contribution from aggregated DERs continues to increase, the aggregator's role in supporting grid security and resilience will become more critical. This paper reviews work that demonstrates how DER aggregators can provide resilience support through technical capabilities, operational strategies, and secure communication architectures. Socioeconomic influences and impacts of aggregators, including implications for social resilience, are presented. In surveying the current state-of-the-art across different but interconnected topics, we illustrate how aggregators can be power system participants that enhance grid security. There is no one-size-fits-all approach to enhancing resilience in a power grid that includes a growing cohort of DER aggregators, but there are many options for aggregators to contribute to a more resilient and secure power grid.

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To Sharpen or not to Sharpen? On the Effect of Sharpening Filters Applied to Magnified Images 14

To Sharpen or not to Sharpen? On the Effect of Sharpening Fi...

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14th International Conference on Digital Image Processing, ICDIP 2022

作者： Emmendorfer, Leonardo R. de Olviveira, Vinicius Menezes Schein, Tatiana T. de Jesus, Junior C. Rodriguez, Bárbara D.A. Electrical Energy Processing Department Federal University of Santa Maria 97105-340 Brazil Center for Computational Science Federal University of Rio Grande 96201-900 Brazil Computational Modeling PhD Program Federal University of Rio Grande 96201-900 Brazil Computer Engineering Graduate Program Federal University of Rio Grande 96201-900 Brazil Institute of Mathematics Statistics and Physics Federal University of Rio Grande 96201-900 Brazil

ISBN: (纸本)9781510657564

Super-resolution algorithms aim to produce magnified high-resolution versions from low-resolution images. Some methods, however, are prone to generate blur during the process. Simple sharpening filters are adopted to alleviate this type of artifact. However, the actual effectiveness of this approach is not clear-cut in the literature. This work evaluates the effect of three simple sharpening filters on the quality of images obtained from super-resolution methods. Two metrics were considered in the evaluation: the Peak signal-to-noise ratio (PSNR) metric, and the Learned Perceptual Image Patch Similarity (LPIPS). One of the filters could consistently improve the LPIPS metric of magnified images from diverse benchmark sets on top of seven super-resolution methods. The increments obtained for the perceptual metric seem to occur due to the sharpening effect. Improvements on PSNR values were not as consistent. © 2022 SPIE.

关键词： Quality control

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Probabilistic genotype-phenotype maps reveal mutational robustness of RNA folding, spin glasses, and quantum circuits

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Physical Review Research 2025年第1期7卷 013118-013118页

作者： Anna Sappington Vaibhav Mohanty Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Harvard-MIT Program in Health Sciences and Technology Harvard Medical School Boston Massachusetts 02115 USA and Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Harvard/MIT MD-PhD Program Harvard Medical School Boston Massachusetts 02115 USA and Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA Department of Chemistry and Chemical Biology Harvard University Cambridge Massachusetts 02138 USA

Recent studies of genotype-phenotype maps have reported universally enhanced phenotypic robustness to genotype mutations, a feature essential to evolution. Virtually all of these studies make a simplifying assumption that each genotype—represented as a sequence—maps deterministically to a single phenotype, such as a discrete structure. Here we introduce probabilistic genotype-phenotype (PrGP) maps, where each genotype maps to a vector of phenotype probabilities, as a more realistic and universal language for investigating robustness in a variety of physical, biological, and computational systems. We study three model systems to show that PrGP maps offer a generalized framework which can handle uncertainty emerging from various physical sources: (1) thermal fluctuation in RNA folding, (2) external field disorder in the spin-glass ground state search problem, and (3) superposition and entanglement in quantum circuits, which are realized experimentally on IBM quantum computers. In all three cases, we observe a biphasic robustness scaling which is enhanced relative to random expectation for more frequent phenotypes and approaches random expectation for less frequent phenotypes. We derive an analytical theory for the behavior of PrGP robustness, and we demonstrate that the theory is highly predictive of empirical robustness.

关键词： Quantum computers

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Autonomic Dysfunction in REM Sleep Disorder: The Role of Respiration in HRV Analysis 46

Autonomic Dysfunction in REM Sleep Disorder: The Role of Res...

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

作者： Sattar, Parisa Mandas, Nicla Baldazzi, Giulia Facchini, Elisa Casaglia, Elisa Figorilli, Michela Giorgetti, Laura Mattioli, Pietro Calizzano, Francesco Fama, Francesco Arnaldi, Dario Puligheddu, Monica Pani, Danilo Laguna, Pablo Bailon, Raquel Neuroscience PhD program Department of Biomedical Sciences University of Cagliari Cagliari Italy MeDSP Lab Department of Electrical and Electronic Engineering University of Cagliari Cagliari Italy The Hadron Academy Istituto Universitario di Studi Superiori Iuss Pavia Italy Interdepartmental Sleep Disorder Research Center University of Cagliari Cagliari Italy AziendaOspedaliero-Universitaria Cagliari Italy Clinical Neurology University of Genoa Genoa Italy Neurophysiopathology unit Irccs Ospedale Policlinico San Martino Genoa Italy Iis Aragón University of Zaragoza María de Luna 1 Zaragoza50015 Spain Madrid Spain

ISBN: (纸本)9798350371499

Autonomic nervous system (ANS) has been suggested often associated with the isolated rapid eye movement (REM) sleep behavior disorder (iRBD), with iRBD, and heart rate variability (HRV) is a commonly used tool to assess it. However, the accuracy of HRV is heavily influenced by respiratory rate (RespR), potentially causing misinterpretation of frequency domain HRV indices. This study compares sleep-related ANS function between iRBD patients and a control group (CG) using respiratory-adjusted HRV spectral analysis. It involves 20 iRBD and 20 CG participants in each group, from which five-minute ECG signal epochs during N2, N3, and REM sleep phases are analyzed. RespR were estimated from ECG-derived respiratory signals. Both low and high frequency bands definition for HRV analysis were redefined using the RespR. The results indicate significant differences in HRV parameters between iRBD and CG subjects during REM sleep, highlighting disrupted autonomic regulation in iRBD. This finding is also evident in non-REM phases, thus emphasizing the need to incorporate RespR in HRV analysis, especially in sleep-related studies, for a comprehensive understanding of autonomic dysfunction. © 2024 IEEE.

关键词： Frequency domain analysis

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