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P12.03.A MULTIMOdAL ANALYSIS OF GLIOBLASTOMA REVEALS THE POTENTIAL OF CXCR7-CXCL12 IN GBM CELLS SENSITIZES GBM TO IMMUNE CHECKPOINT BLOCKAdE THERAPY

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Neuro-Oncology 2023年第SUPPLEMENT_2期25卷 ii96–ii97页

作者： Liu, C Chien, C Yang, W Chuang, J Chang, K National Health Research Institutes Tainan City Taiwan School of Medicine I-Shou University Kaohsiung Taiwan TMU Research Center of Neuroscience Taipei Medical University Taipei City Taiwan The Ph.D. Program for Neural Regenerative Medicine College of Medical Science and Technology Taipei Medical University Taipei City Taiwan Department of Oncology National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan City Taiwan

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Plasma-derived Nanoclusters for Site-Specific Multimodality photo/Magnetic Thrombus Theranostics

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Advanced Healthcare Materials 2023年第28期12卷 e2301504页

作者： Liu, Chia-Hung Liu, Ming-Che Jheng, Pei-Ru Yu, Jiashing Fan, Yu-Jui Liang, Jia-Wei Hsiao, Yu-Cheng Chiang, Chih-Wei Bolouki, Nima Lee, Jyh-Wei Hsieh, Jang-Hsing Mansel, Bradley W Chen, Yan-Ting Nguyen, Hieu Trung Chuang, Er-Yuan Department of Urology School of Medicine College of Medicine Taipei Medical University 250 Wu-Hsing Street Taipei11031 Taiwan TMU Research Center of Urology and Kidney Taipei Medical University 250 Wu-Hsing Street Taipei11031 Taiwan Department of Urology Shuang Ho Hospital Taipei Medical University 291 Zhongzheng Road Zhonghe District New Taipei City23561 Taiwan Clinical Research Center Taipei Medical University Hospital Taipei11031 Taiwan School of Dental Technology College of Oral Medicine Taipei Medical University Taipei11031 Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering International Ph.D. Program in Biomedical Engineering Graduate Institute of Biomedical Optomechatronics School of Biomedical Engineering Research Center of Biomedical Device Innovation Entrepreneurship Education Center College of Interdisciplinary Studies Taipei Medical University Taipei11031 Taiwan Department of Chemical Engineering College of Engineering National Taiwan University Taipei106 Taiwan Department of Orthopedics Taipei Medical University Taipei11031 Taiwan Department of Orthopedics Taipei Medical University Hospital Taipei11031 Taiwan Department of Physical Electronics Faculty of Science Masaryk University Brno60177 Czech Republic Department of Materials Engineering Ming Chi University of Technology New Taipei City24301 Taiwan Center for Plasma and Thin Film Technologies Ming Chi University of Technology New Taipei City24301 Taiwan National Synchrotron Radiation Research Center Hsinchu Science Park Hsinchu30076 Taiwan Department of Orthopedics and Trauma Faculty of Medicine University of Medicine and Pharmacy at Ho Chi Minh City Ho Chi Minh City700000 Viet Nam Cell Physiology and Molecular Image Research Center Taipei Medical University Wan Fang Hospital Taipei11696 Taiwan Precision Medicine and Translational Cancer Research Center Taipei Medical University Hospital Taipei11031 Taiwan

Traditional thrombolytic therapeutics for vascular blockage are affected by their limited penetration into thrombi, associated off-target side effects, and low bioavailability, leading to insufficient thrombolytic efficacy. It is hypothesized that these limitations can be overcome by the precisely controlled and targeted delivery of thrombolytic therapeutics. A theranostic platform is developed that is biocompatible, fluorescent, magnetic, and well-characterized, with multiple targeting modes. This multimodal theranostic system can be remotely visualized and magnetically guided toward thrombi, noninvasively irradiated by near-infrared (NIR) phototherapies, and remotely activated by actuated magnets for additional mechanical therapy. Magnetic guidance can also improve the penetration of nanomedicines into thrombi. In a mouse model of thrombosis, the thrombosis residues are reduced by ≈80% and with no risk of side effects or of secondary embolization. This strategy not only enables the progression of thrombolysis but also accelerates the lysis rate, thereby facilitating its prospective use in time-critical thrombolytic treatment. © 2023 Wiley-VCH GmbH.

关键词： diseases

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OpenMM 8: Molecular dynamics Simulation with Machine Learning Potentials

arXiv

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arXiv 2023年

作者： Eastman, Peter Galvelis, Raimondas Peláez, Raúl P. Abreu, Charlles R.A. Farr, Stephen E. Gallicchio, Emilio Gorenko, Anton Henry, Michael M. Hu, Frank Huang, Jing Krämer, Andreas Michel, Julien Mitchell, Joshua A. Pande, Vijay S. Rodrigues, João P.G.L.M. Rodriguez-Guerra, Jaime Simmonett, Andrew C. Singh, Sukrit Swails, Jason Turner, philip Wang, Yuanqing Zhang, Ivy Chodera, John d. de Fabritiis, Gianni Markland, Thomas E. Department of Chemistry Stanford University StanfordCA94305 United States Acellera Labs C Dr Trueta 183 Barcelona08005 Spain C Dr. Aiguader 88 Barcelona08003 Spain Chemical Engineering Department School of Chemistry Federal University of Rio de Janeiro Rio de Janeiro68542 Brazil Redesign Science Inc. 180 Varick St. New YorkNY10014 United States EaStCHEM School of Chemistry University of Edinburgh EH9 3FJ United Kingdom Department of Chemistry and Biochemistry Brooklyn College The City University of New York NY United States Ph.D. Program in Chemistry Ph.D. Program in Biochemistry The Graduate Center of the City University of New York New YorkNY United States Stream HPC Koningin Wilhelminaplein 1 - 40601 Amsterdam1062 HG Netherlands Computational and Systems Biology Program Sloan Kettering Institute Memorial Sloan Kettering Cancer Center New YorkNY10065 United States Key Laboratory of Structural Biology of Zhejiang Province School of Life Sciences Westlake University 18 Shilongshan Road Zhejiang Hangzhou310024 China Department of Mathematics and Computer Science Freie Universität Berlin Arnimallee 12 Berlin14195 Germany The Open Force Field Initiative Open Molecular Software Foundation DavisCA95616 United States Andreessen Horowitz 2865 Sand Hill Rd Menlo ParkCA94025 United States Department of Structural Biology Stanford University StanfordCA94305 United States Charité Universitätsmedizin Berlin In silico Toxicology and Structural Bioinformatics Virchowweg 6 Berlin10117 Germany Laboratory of Computational Biology National Heart Lung and Blood Institute National Institutes of Health BethesdaMD20892 United States Entos Inc. 9310 Athena Circle La Jolla CA92037 United States College of Engineering Virginia Polytechnic Institute State University BlacksburgVA24061 United States Simons Center for Computational Physical Chemistry Center for Data Science New York University 24 Waverly Place New YorkNY10004 United States T

Machine learning plays an important and growing role in molecular simulation. The newest version of the OpenMM molecular dynamics toolkit introduces new features to support the use of machine learning potentials. Arbitrary PyTorch models can be added to a simulation and used to compute forces and energy. A higher-level interface allows users to easily model their molecules of interest with general purpose, pretrained potential functions. A collection of optimized CUdA kernels and custom PyTorch operations greatly improves the speed of simulations. We demonstrate these features on simulations of cyclin-dependent kinase 8 (CdK8) and the green fluorescent protein (GFP) chromophore in water. Taken together, these features make it practical to use machine learning to improve the accuracy of simulations at only a modest increase in cost. Copyright © 2023, The Authors. All rights reserved.

关键词： Machine learning

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driverdBv4:ã multi-omics integration database for cancer driv er g ene resear c h

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Nucleic Acids Research 2024年第D1期52卷 D1246-D1252页

作者： Liu, Chia-Hsin Lai, Yo-Liang Shen, Pei-Chun Liu, Hsiu-Cheng Tsai, Meng-Hsin Wang, Yu-de Lin, Wen-Jen Chen, Fang-Hsin Li, Chia-Yang Wang, Shu-Chi Hung, Mien-Chie Cheng, Wei-Chung Cancer Biologyãnd Precision Therapeutics Center China Medical University Taichung 404328 Taiwan Department of Radiation Oncology China Medical University Taichung 404328 Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung 404328 Taiwan Department of Urology China Medical University Taichung 404328 Taiwan School of Medicine China Medical University Taichung 404328 Taiwan Institute of Nuclear Engineeringãnd Science National Tsing Hua University Hsinchu 300044 Taiwan Graduate Institute of Medicine College of Medicine Kaohsiung Medical University Kaohsiung 80708 Taiwan Department of Medical Laboratory Scienceãnd Biotechnology Kaohsiung Medical University Kaohsiung 80708 Taiwan Institute of Biochemistryãnd Molecular Biology China Medical University Taichung 404328 Taiwan Molecular Medicine Center China Medical University Hospital China Medical University Taichung 404328 Taiwan Department of Biotechnology Asia University Taichung 413305 Taiwan The Ph.D. program for Cancer Biologyãnd Drug Discovery China Medical Universityãnd Academia Sinica Taichung 404328 Taiwan

A dvãncements in high-throughput technology offer researchersãn e xtensiv e range of multi-omics data that provide deep insights into the complex landscape of cancer biology . However , traditional statistical modelsãnd databasesãre inadequate to interpret these high-dimensional data withinã multi-omics frame w ork. Toãddress this limitation, we introduce driverdBv4,ãn updated iteration of the driverdB cancer driver gene database ( http://driv *** ***/). T his updated v ersion offers se v eral significant enhancements: (i)ãn increase in the number of cohorts from 33 to 70, encompassingãpproximately 24 0 0 0 samples;(ii) inclusion of proteomics data,ãugmenting the existing types of omics dataãnd thus expanding theãnalytical scope;(iii) implementation of multiple multi-omicsãlgorithms for identification of cancer drivers;(iv) new visualization features designed to succinctly summarize high-context dataãnd redesigned existing sections toãccommodate the increased volume of datasetsãnd (v) two new functions in Customized Analysis, specifically designed for multi-omics driver identificationãnd subgroup e xpressionãnaly sis. driv erdBv4 fãcilitates comprehensiv e interpretãtion of multi-omics datããcross diverse cancer types, thereby enriching the understanding of cancer heterogeneityãndãiding in the de v elopment of personalized clinicalãpproaches. The database is designed to fosterã more nuanced understanding of the multi-faceted nature of cancer. © The Author(s) 2023.

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Transdermal nanolipoplex simultaneously inhibits subcutaneous melanoma growth and suppresses systemically metastatic melanoma by activating host immunity

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Nanomedicine: Nanotechnology, Biology, and Medicine 2023年 47卷 102628-102628页

作者： Chen, Chia-Hung Weng, Tzu-Han Chuang, Cheng-Hsun Huang, Kai-Yao Huang, Sih-Cheng Chen, Pin-Rong Huang, Hsiao-Hsuan Huang, Ling-Ya Shen, Pei-Chun Chuang, Po-Ya Huang, Hsiao-Yen Wu, Yi-Syuan Chang, Hao-Chiun Weng, Shun-Long Liao, Kuang-Wen Department of Medical Research Hsinchu MacKay Memorial Hospital Hsinchu City30071 Taiwan Dependent of Medical Education MacKay Memorial Hospital Taipei10449 Taiwan Institute of Molecular Medicine and Bioengineering National Yang Ming Chiao Tung University Hsinchu City30068 Taiwan Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu City30068 Taiwan Industrial Development Graduate Program of College of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu City30068 Taiwan Institute of Bioinformatics and Systems Biology National Yang Ming Chiao Tung University Hsinchu City30068 Taiwan Department of Medicine MacKay Medical College New Taipei City25245 Taiwan Department of Obstetrics and Gynecology Hsinchu MacKay Memorial Hospital Hsinchu City30071 Taiwan MacKay Junior College of Medicine Nursing and Management Taipei City11260 Taiwan Drug Development and Value Creation Research Center College of Dental Medicine Kaohsiung Medical University School of Dentistry Graduate Institute of Medicine College of Medicine Center for Cancer Research Kaohsiung Medical University Kaohsiung City80708 Taiwan Center for Intelligent Drug Systems and Smart Bio-devices National Yang Ming Chiao Tung University Hsinchu City30068 Taiwan Department of Biotechnology and Bioindustry Sciences National Cheng Kung University Tainan City70101 Taiwan Ph.D. Degree Program of Biomedical Science and Engineering National Yang Ming Chiao Tung University Hsinchu City30068 Taiwan

Benefit for clinical melanoma treatments, the transdermal neoadjuvant therapy could reduce surgery region and increase immunotherapy efficacy. Using lipoplex (Lipo-PEG-PEI-complex, LPPC) encapsulated doxorubicin (dOX) and carrying CpG oligodeoxynucleotide;the transdermally administered nano-liposomal drug complex (LPPC-dOX-CpG) would have high cytotoxicity and immunostimulatory activity to suppress systemic metastasis of melanoma. LPPC-dOX-CpG dramatically suppressed subcutaneous melanoma growth by inducing tumor cell apoptosis and recruiting immune cells into the tumor area. Animal studies further showed that the colonization and growth of spontaneously metastatic melanoma cells in the liver and lung were suppressed by transdermal LPPC-dOX-CpG. Furthermore, NGS analysis revealed IFN-γ and NF-κB pathways were triggered to recruit and activate the antigen-presenting-cells and effecter cells, which could activate the anti-tumor responses as the major mechanism responsible for the therapeutic effect of LPPC-dOX-CpG. Finally, we have successfully proved transdermal LPPC-dOX-CpG as a promising penetrative carrier to activate systemic anti-tumor immunity against subcutaneous and metastatic tumor. © 2022

关键词： Tumors

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A New Architecture for Transformation of Binary to double Base Number System (dBNS) with Bases 2 and 5 using different Search Algorithms

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IOP Conference Series: Materials science and engineering 2021年第1期1084卷

作者： Satrughna Singha Amitabha Sinha Ph.D. Scholar Department of Computer Science and Engineering MaulanaAbulKalam Azad University of Technology Haringhata NadiaWestBengal India UGC Adjunct Faculty and Director (Academic Reforms) MaulanaAbulKalam Azad University of Technology Haringhata NadiaWestBengal India

In this paper a new architecture for the transformation of binary to double base number system (dBNS) with bases 2 and 5 using different search algorithms has been presented. Nowadays the dBNS is becoming popular among the other non-binary number systems for their competences of carrying out multiplication operation proficiently. The dBNS has the major problem which is associated with this number system is the transformation from binary data to dBNS data despite the various advantages of the dBNS. A number of schemes are there to transform the binary number into the dBNS. By observing these matters a new transformation scheme has been presented for the transformation of binary data into a single index pair (i.e., singledigit) dBNS data with bases 2 and 5.

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Enhanced exopolysaccharide production of Cordyceps militaris via mycelial cell immobilization on plastic composite support in repeated-batch fermentation

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International Journal of Biological Macromolecules 2023年第1期250卷 126267页

作者： Lin, Shin-Ping Sung, Ting-Hsuan Angkawijaya, Artik Elisa Go, Alchris Woo Hsieh, Chang-Wei Hsu, Hsien-Yi Santoso, Shella Permatasari Cheng, Kuan-Chen School of Food Safety Taipei Medical University #250 Wuxing Street Xinyi Dist. Taipei11042 Taiwan Research Center of Biomedical Device Taipei Medical University #250 Wu-Hsing Street Taipei11031 Taiwan TMU Research Center for Digestive Medicine Taipei Medical University #250 Wu-Hsing Street Taipei11031 Taiwan Ph.D. Program in Drug Discovery and Development Industry Taipei Medical University #250 Wu-Hsing Street Taipei11031 Taiwan Taiwan Institute of Food Science and Technology National Taiwan University #1 Sec. 4 Roosevelt Rd. Taipei10617 Taiwan Institute of Food Science and Technology National Taiwan University #1 Sec. 4 Roosevelt Rd. Taipei10617 Taiwan School of Nutrition and Health Sciences Taipei Medical University #250 Wu-Hsing Street Taipei11031 Taiwan Center for Sustainable Resource Science RIKEN Yokohama230-0045 Japan Department of Chemical Engineering National Taiwan University of Science and Technology #43 Sec. 4 Keelung Rd Taipei10607 Taiwan Department of Food Science and Biotechnology National Chung Hsing University South Dist. Taichung City40227 Taiwan Department of Medical Research China Medical University Hospital North Dist. Taichung City404333 Taiwan Taiwan Institute of Biotechnology National Taiwan University #1 Sec. 4 Roosevelt Rd. Taipei10617 Taiwan School of Energy and Environment Department of Materials Science and Engineering City University of Hong Kong Kowloon Tong Hong Kong Shenzhen Research Institute of City University of Hong Kong Shenzhen518057 China Department of Chemical Engineering Widya Mandala Surabaya Catholic University Kalijudan 37 Surabaya60114 Indonesia Collaborative Research Center for Zero Waste and Sustainability Jl. Kalijudan 37 East Java Surabaya60114 Indonesia Institute of Biotechnology National Taiwan University #1 Sec. 4 Roosevelt Rd. Taipei10617 Taiwan Department of Medical Research China Medical University Hospital China Medical University 91 Hsueh-Shih Road Taichung40

Repeated-batch fermentation with fungal mycelia immobilized in plastic composite support (PCS) eliminates the lag phase during fermentation and improves metabolite productivity. The strategy is implemented herein, and a novel modified PCS is developed to enhance exopolysaccharide (EPS) production from the medicinal fungus Cordyceps militaris. A modified PCS (SYE + PCS) was made by compositing polypropylene (PP) with a nutrient mixture containing soybean hull, peptone, yeast extract, and minerals (SYE+). The use of SYE + PCS has consistent cell productivity throughout the multiple fermentation cycles, which resulted in a more higher cell productivity after second batch compared to unmodified PCS. The cell grown on SYE + PCS also generates a higher yield of EPS (3.36, 6.93, and 5.72 g/L in the first, second, and third fermentation cycles, respectively) up to three-fold higher than the cell immobilized on unmodified PCS. It is also worth noting that the EPS from mycelium grown on SYE + PCS contains up to 2.3-fold higher cordycepin than those on unmodified PCS. The presence of nutrients in SYE + PCS also affects the hydrophobicity and surface roughness of the PC, improving mycelial cell adhesion. This study also provides a preliminary antioxidant activity assessment of EPS from immobilized C. militaris grown with SYE + PCS. © 2023

关键词： Mycelium

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Synthesis of Ni 0.5 Co 0.25 Mg 0.25 Ho 0.03 Fe 1.97 O 4 ferrite-grafted GNPs composites for rapid degradation of direct red 23 dye (dRd-23)

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Journal of Rare Earths 2024年

作者： Amna Muneer Muhammad Imran Arshad Mudasar Nazir Nasir Amin Kiran Mehmood Maria Akhtar Kashif Javaid Sadia Ata Ammara Aslam Lamia Ben Farhat Faisal Alresheedi Zohaib Hassan Nawaz Muhammad Tariq Sajjad Department of Physics Government College University Faisalabad 38000 Pakistan London Centre for Energy Engineering (LCEE) School of Engineering London South Bank University 103 Borough Road London SE1 0AA UK School of Chemistry University of the Punjab Lahore 54590 Pakistan Ph.D. School Silesian University of Technology 2a Akademicka Str. 44-100 Gliwice Poland Department of Physical Chemistry and Technology of Polymers Faculty of Chemistry Silesian University of Technology 44-100 Gliwice Strzody 9 Poland Department of Chemistry College of Science King Khalid University P.O. Box 9004 61413 Abha Saudi Arabia Department of Physics College of Science Qassim University Buraidah 51452 Saudi Arabia

This study explored various properties of Ni 0.5 Co 0.25 Mg 0.25 Ho 0.03 Fe 1.97 O 4 ferrite (NCMHF) / graphene nanoplatelets (GNPs) composites, including structural, optical, electrical, dielectric and magnetic properties prepared by sol-gel auto combustion route, as well as their potential for degrading of direct red 23 dye. XRd analysis reveals the presence of single-phase structures and reduced crystallite size with GNPs incorporation from 28.06 to 20.17 nm. Raman analysis reveals the ferrite spinel structure along with the G and d bands, indicating the presence of GNPs in the composites. SEM micrographs show reduced agglomeration with the addition of GNPs. A reciprocal relationship between the lattice parameter ( a ) and bandgap energy ( ) is found. It is found that for NCMHF/1.25 wt% GNPs sample, the is 2.14 eV, while the temperature coefficient of resistance (TCR) is −6.59%/K. In particular, higher permeability and magnetic quality factor ( Q ) are obtained for NCMHF/1.25 wt%GNPs composite, i.e. Q =851 at 5.5 MHz. Furthermore, NCMHF/2.25 wt% GNPs composite shows a remarkable photodegradation efficiency of direct red 23 dye, reaching 88.10% degradation rate. The outstanding electromagnetic properties and photodegradation performance of NCMHF-GNPs composites can be effectively employed in high frequency applications, microwave shielding, high-density data storage, magnetic and bolometric devices as well as cost-effective, sustainable water purification.

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SRT1720 as an SIRT1 Activator for Alleviating Paraquat-Induced Models of Parkinson's disease

SSRN

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SSRN 2022年

作者： Chao, Chih-Chang Huang, Chuen-Lin Cheng, Jing-Jy Chiou, Chun-Tang Lee, I-Jung Yang, Ying-Chen Hsu, Ting-Huang Yei, Chan Lin, Pei-Yin Cheng, Jih-Jung Huang, Nai-Kuei Institute of Neuroscience National Chengchi University Taipei Taiwan Medical Research Center Cardinal Tien Hospital Hsintien New Taipei City Taiwan Graduate Institute of Physiology Department of Physiology and Biophysics National Defense Medical Center Taipei114 Taiwan National Research Institute of Chinese Medicine Ministry of Health and Welfare Taipei112 Taiwan Institute of Biophotonics National Yang-Ming University Taipei112 Taiwan Herbal Medicine Department Yokohama University of Pharmacy Yokohama Japan Department of Biotechnology and Animal Science National Ilan University Ilan Taiwan School of Pharmaceutical Sciences National Yang-Ming Chiao Tung University Taipei Taiwan Ph.D. Program for Neural Regenerative Medicine College of Medical Science and Technology Taipei Medical University Taipei11031 Taiwan Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei11031 Taiwan

Epidemiological studies have linked herbicides and Parkinson’s disease (Pd), with the strongest associations resulting from long exposure durations. Paraquat (PQ), an herbicide, induces Pd-like syndromes and has widely been accepted as a Pd mimetic. Currently, there is still no cure to prevent the progression of Pd, and the search for effective therapeutic ways is urgent. Recently, the impairing activity of sirtuins (SIRTs), such as SIRT1, may correlate with Pd etiology. However, the nonspecificity of SIRT1 agonists has made the protective mechanisms against Pd unclear and hampered the therapeutic application of SIRT1. Thus, this study investigated the protective mechanism and therapeutic potential of SRT1720, a more specific agonist for SIRT1, in alleviating the toxicity of PQ-induced cellular and animal models of Pd. Here we show that SRT1720 alleviates PQ-induced toxicity in cell and animal models. Genetic silencing and pharmacological inhibition of SIRT1 attenuated SRT1720’s protection against PQ-induced toxicity. Moreover, SRT1720 not only attenuated PQ-induced increased oxidative stress and mitochondrial free radical formations but also decreased mitochondrial membrane potential. Furthermore, SRT1720 reversed PQ-induced decreased PGC-1α levels and mitochondrial biogenesis. Although PQ and SRT1720 elevated NRF2 and antioxidative enzyme levels, only PQ decreased antioxidative enzyme activity but not SRT1720. NRF2 and PGC-1α silencing attenuated SRT1720 protection against PQ-induced toxicity. SRT1720 targeted SIRT1 and activated downstream PGC-1a and NRF2 signalings to prevent PQ-induced toxicity involving oxidative stress and mitochondrial dysfunction. Thus, SRT1720 might have therapeutic potential in preventing Pd. © 2022, The Authors. All rights reserved.

关键词： Mitochondria

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Ballistic Object Trajectory and Launch Point Estimation from Radar Measurements using Long-Short Term Memory Networks

Ballistic Object Trajectory and Launch Point Estimation from...

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International Conference on Robot Intelligence technology and Applications (RiTA)

作者： Juhyung Kim Ming Chong Lim Soon-Seo Park Iksoo Kim Han-Lim Choi Ph.D. candidates in the Department of Aerospace Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea Faculty of Aerospace Engineering & KI for Robotics Korea Advanced Institute of Science and Technology Daejeon Republic of Korea

In this paper, we consider the problem of estimating the trajectory of the ballistic object, especially the ballistic missiles, and its launch point based on radar measurements using promising deep learning technique-the Long-Short Term Memory(LSTM) Network. The conventional way of estimating the trajectories are solely based on the dynamic model of a missile to the Filter(KF). the implement Kalman However, since dynamics of missile change over the flight phases(boost, ballistic, reentry phase) and the flight phase of the missile would be difficult to differentiate using only radar observations, here we suggest a model-free method that utilizes the LSTM for the estimation. By implementing the suggested method, we can accurately estimate the trajectories and launch points of ballistic missiles only using the radar measurement without any consideration of the dynamics and parameters of the missile flight system.

关键词： Trajectory Missiles Radar measurements Estimation Acceleration Noise measurement

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