Academic literature on the topic 'Signal-To-Signal Translation'
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Journal articles on the topic "Signal-To-Signal Translation"
Harfiya, Latifa Nabila, Ching-Chun Chang, and Yung-Hui Li. "Continuous Blood Pressure Estimation Using Exclusively Photopletysmography by LSTM-Based Signal-to-Signal Translation." Sensors 21, no. 9 (April 23, 2021): 2952. http://dx.doi.org/10.3390/s21092952.
Full textProud, Christopher G. "Signalling to translation: how signal transduction pathways control the protein synthetic machinery." Biochemical Journal 403, no. 2 (March 26, 2007): 217–34. http://dx.doi.org/10.1042/bj20070024.
Full textZhao, Baining, Zhewen Niu, Qiheng Liang, Yanli Xin, Tong Qian, Wenhu Tang, and Qinghua Wu. "Signal-to-Signal Translation for Fault Diagnosis of Bearings and Gears With Few Fault Samples." IEEE Transactions on Instrumentation and Measurement 70 (2021): 1–10. http://dx.doi.org/10.1109/tim.2021.3123433.
Full textJeong, Singi, Jaemin Shin, and Yusung Kim. "A Signal-to-Data Translation Model for Robust Backscatter Communications." IEEE Access 10 (2022): 27440–52. http://dx.doi.org/10.1109/access.2022.3155879.
Full textPiazzi, Manuela, Alberto Bavelloni, Angela Gallo, Irene Faenza, and William L. Blalock. "Signal Transduction in Ribosome Biogenesis: A Recipe to Avoid Disaster." International Journal of Molecular Sciences 20, no. 11 (June 3, 2019): 2718. http://dx.doi.org/10.3390/ijms20112718.
Full textPyhtila, B., T. Zheng, P. J. Lager, J. D. Keene, M. C. Reedy, and C. V. Nicchitta. "Signal sequence- and translation-independent mRNA localization to the endoplasmic reticulum." RNA 14, no. 3 (January 18, 2008): 445–53. http://dx.doi.org/10.1261/rna.721108.
Full textZaragoza-Gómez, Andre, Emilio García-Caffarel, Yuridia Cruz-Zamora, James González, Víctor Hugo Anaya-Muñoz, Felipe Cruz-García, and Javier Andrés Juárez-Díaz. "The Nβ motif of NaTrxh directs secretion as an endoplasmic reticulum transit peptide and variations might result in different cellular targeting." PLOS ONE 18, no. 10 (October 12, 2023): e0287087. http://dx.doi.org/10.1371/journal.pone.0287087.
Full textRobinson, A., O. M. R. Westwood, and B. M. Austen. "Interactions of signal peptides with signal-recognition particle." Biochemical Journal 266, no. 1 (February 15, 1990): 149–56. http://dx.doi.org/10.1042/bj2660149.
Full textMazo, Chantell, and Jamie C. Theobald. "To keep on track during flight, fruitflies discount the skyward view." Biology Letters 10, no. 2 (February 2014): 20131103. http://dx.doi.org/10.1098/rsbl.2013.1103.
Full textChen, Zhuo. "Signal Recognition for English Speech Translation Based on Improved Wavelet Denoising Method." Advances in Mathematical Physics 2021 (September 18, 2021): 1–9. http://dx.doi.org/10.1155/2021/6811192.
Full textDissertations / Theses on the topic "Signal-To-Signal Translation"
Girault, Benjamin. "Signal Processing on Graphs - Contributions to an Emerging Field." Thesis, Lyon, École normale supérieure, 2015. http://www.theses.fr/2015ENSL1046/document.
Full textThis dissertation introduces in its first part the field of signal processing on graphs. We start by reminding the required elements from linear algebra and spectral graph theory. Then, we define signal processing on graphs and give intuitions on its strengths and weaknesses compared to classical signal processing. In the second part, we introduce our contributions to the field. Chapter 4 aims at the study of structural properties of graphs using classical signal processing through a transformation from graphs to time series. Doing so, we take advantage of a unified method of semi-supervised learning on graphs dedicated to classification to obtain a smooth time series. Finally, we show that we can recognize in our method a smoothing operator on graph signals. Chapter 5 introduces a new translation operator on graphs defined by analogy to the classical time shift operator and verifying the key property of isometry. Our operator is compared to the two operators of the literature and its action is empirically described on several graphs. Chapter 6 describes the use of the operator above to define stationary graph signals. After giving a spectral characterization of these graph signals, we give a method to study and test stationarity on real graph signals. The closing chapter shows the strength of the matlab toolbox developed and used during the course of this PhD
Jacquet, Gottfried. "Hybrid physics-based/data-based seismic ground motion generator of a site." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST035.
Full textAccurately estimating the seismic response following an earthquake can save lives. However, limited computational resources and poorly characterized and unknown variability in geology and seismotectonic context pose significant challenges for simulations at the scale of a city or region. This thesis proposes a new approach com- bining adversarial learning methods and physics-based simulations to overcome these limitations, based on the SeismoALICE framework (F. GATTI and D. CLOUTEAU: "Towards blending Physics-Based numerical simulations and seismic databases using Generative Adversarial Network," CMAME 2020). Because of the random fluctuations in the mechanical properties of the geological medium, numerical simulations can only give results for low frequencies (LF) down to 5 or even 10 Hz. The design frequency for civil engineering structures and equipment, on the other hand, reaches 40 Hz. This thesis aims to simulate seismic signals with a higher frequency range [0 - 30 Hz] using knowledge of low-frequency signals and a database of recorded signals. To this end, we are developing an encoder and decoder adapted to seismic signals using a Conformer variant of attention techniques to capture the long-duration correlations present in accelerograms. The discriminator, which ensures that simulated signals resemble recorded signals, has been the subject of extensive development, enabling the encoder and decoder to be optimized using a min-max technique at the heart of adversarialmachine learning methods. To force signal recon- struction, we adapt Focal Frequency Loss (FFL) and Hyper-Spherical Loss (HSL), which are more efficient for this data type, to time series. We then complement the LF signals up to 30 Hz by ex- ploring different generation cases, one-to-one map- ping, and one-to-many mapping to assess the plausibility of the reconstructions in the database. Five methods were developed: Signal-to-Signal Translation, SeismoALICE with shared latent space, SeismoALICE with factorized latent space, BicycleGAN for time series, and Multi-Modal Signal Translation. Their performance was evaluated using Kristeková's Goodness-of-Fit. By manipulating the hidden variables, we proved that it is possible to divide the information into two groups of variables with Gaussian distributions, one for low frequencies and the other for high frequencies. This interpretability made it possible to manipulate the latent space and control the one-to-many mapping. The models, trained on 128,000 seismic signals from the Stanford Earthquake Database (STEAD), demonstrated their performance, with prediction qualities ranging from good to excellent. Finally, their effectiveness was demonstrated by application to the 2019 Le Teil earthquake (in the Ardèche region of Auvergne-Rhone-Alpes, France). This work paves the way for more accurate and efficient prediction of seismic signals by seamlessly integrating physics-based knowledge and machine learning
Ngô, Van Chan. "Formal verification of a synchronous data-flow compiler : from Signal to C." Phd thesis, Université Rennes 1, 2014. http://tel.archives-ouvertes.fr/tel-01067477.
Full textMessaoud, Safa. "Translating Discrete Time SIMULINK to SIGNAL." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/49299.
Full textMaster of Science
Sarkissian, Madathia. "Signaling Events Leading to CPEB-Mediated Translation: a Dissertation." eScholarship@UMMS, 2004. http://escholarship.umassmed.edu/gsbs_diss/305.
Full textLiao, Tzu-I., and 廖慈怡. "Vgl mRNA localization signal RNA is also a cis-acting element to suppress translation in xenopus oocytes." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/25884394959346785481.
Full text國立陽明大學
生物藥學研究所
84
mRNA的位移作用是早期胚胎發育時細胞分化的重要機制。在非洲有爪水生蛙卵母細胞中,Vgl mRNA的位移現象是目前被研究最為清楚的系統;Vgl mRNA在卵母細胞生長期間,會由平均分佈的形式漸漸的朝植物極運動並固著在植物極上,由於vgl蛋白質只在植物極表現,這似乎表示Vgl mRNA在位移的過程中,同時受到了轉譯抑制作用,所以不會在植物極以外的部位表現蛋白質。目前,雖然已發覺在卵母細胞中,抑制 maternal mRNA轉譯之masking蛋白質─p56及p54會與Vgl定位訊號RNA產生專一性的接合,但尚不清楚mRNA的位移現象與轉譯作用的調控是否有所關聯。 在本論文中,利用微量注射技術與共軛焦點顯微鏡,發覺綠螢光蛋白質(green fluorescent protein;GFP)之mRNA在非洲有水生蛙卵母細胞中,轉譯出的綠螢光蛋白質可穩定存在並分佈於整個卵母細胞中;但在3'端未轉譯區多加了Vgl定位訊號RNA的GFP-VglLS chimeric mRNA則只能在植物極表現綠螢光蛋白質。因為上述兩種mRNA的唯一的差別是Vgl定位訊號RNA的存在與否,所以mRNA的位移與轉譯抑制兩種作用受到同一cis-actingelement─Vgl定位訊號RNA的調控。在 In Vitro 蛋白質轉譯實驗中,部份純化之卵母細胞masking蛋白質對含 Vgl定位訊號之chimeric mRNA有較佳而顯著的轉譯抑制作用。而經去磷酸化處理的部份純化之masking蛋白質,在失去與RNA接合的能力後,則亦會同時失去對GFP-VglLS chimeric mRNA的轉譯抑制作用。這結果顯示,可能就是masking蛋白質和 Vgl定位訊號RNA的專一性結合而導致蛋白質的轉譯受抑制。我將提出一工作假說來解釋mRNA的定位與轉譯抑制的關係。 Messenger RNA localization is an important mechanism of differentiation in both germline and somatic cells. The Vgl mRNA is the best characterized system to study mRNA localization in Xenopus oocytes so far. This mRNA is expressed globally and then translocated to and anchored at the vegetal pole during oogenesis. The Vgl protein is also locally expressed at the vegetal pole, which may imply that the translation of Vgl mRNA is inhibited in other part of the oocyte. Nevertheless, it is not known whether the translation and mRNA localization processes are regulated coordinately. It has been shown that the p56 and p54 masking proteins, which can inhibit the translation of maternal mRNA, can interact with Vgl localization signal (LS) RNA specifically. Using confocal microscopy, I showed that the mRNA of green fluorescent protein (GFP) was translated globally in Xenopus oocytes, but the chimeric mRNA of GFP and VglLS-RNA can only be expressed at the vegetal pole of oocytes. Furthermore, the crude preparation of p56 and p54 inhibited the translation of both the chimeric mRNA and the GFP mRNA in vitro, but the translation of the chimeric mRNA is preferentially suppressed. Dephosphorylated masking proteins, which failed to bind VgILS, also failed to suppress the translation of this chimeric mRNA. Therefore, the VglLS-RNA is sufficient to suppress the translation, possibly mediated by the interacting with p56 and p54. In other words, the VgILS is a cis-acting element for both mRNA localization and translation suppression in Xenopus oocytes.
Manion, Steve Lawrence. "Fluency enhancement : applications to machine translation : thesis for Master of Engineering in Information & Telecommunications Engineering, Massey University, Palmerston North, New Zealand." 2009. http://hdl.handle.net/10179/1237.
Full textTumia, Rima Ahmed N. Hashm. "Role of eIF3a expression in cellular sensitivity to ionizing radiation treatments by regulating synthesis of NHEJ repair proteins." Thesis, 2015. http://hdl.handle.net/1805/9767.
Full textTranslation Initiation in protein synthesis is a crucial step controlling gene expression that enhanced by eukaryotic translation initiation factors (eIFs). eIF3a, the largest subunit of eIF3 complexes, has been shown to regulate protein synthesis and cellular response to cisplatin treatment. Its expression has also been shown to negatively associate with prognosis. In this study, we tested a hypothesis that eIF3a regulates synthesis of proteins important for repair of double strand DNA breaks induced by ionizing radiation (IR). We found that eIF3a up-regulation sensitizes cellular response to IR while its knockdown causes resistance to IR. We also found that eIF3a over-expression increases IR-induced DNA damage and decreases Non-Homologous End Joining (NHEJ) activity by suppressing expression level of NHEJ repair proteins such as DNA-PKcs and vice versa. Together, we conclude that eIF3a plays an important role in cellular response to DNA-damaging treatments by regulating synthesis of DNA repair proteins and, thus, eIIF3a likely plays an important role in the outcome of cancer patients treated with DNA-damaging strategies including ionizing radiation.
Books on the topic "Signal-To-Signal Translation"
Rao, K. Sreenivasa. Predicting Prosody from Text for Text-to-Speech Synthesis. New York, NY: Springer New York, 2012.
Find full textJustement, Louis B. Signal Transduction and the Coordination of B Lymphocyte Development and Function II: Translation of BCR Signals to Specific Physiologic Outcomes. Brand: Springer, 2011.
Find full textBaaij, C. J. W. Considering a Source-Oriented Alternative. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190680787.003.0005.
Full textGotman, Kélina. Translatio. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190840419.003.0004.
Full textRao, K. Sreenivasa. Predicting Prosody From Text for Text-to-Speech Synthesis. Springer, 2012.
Find full textRao, K. Sreenivasa. Predicting Prosody from Text for Text-to-Speech Synthesis. Springer, 2012.
Find full textShulman, Ryan, Adrian Wilson, and Delia Peppercorn. Magnetic resonance imaging of the knee. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199550647.003.008003.
Full textTenney, James. Excerpts from “An Experimental Investigation of Timbre—the Violin”. Edited by Larry Polansky, Lauren Pratt, Robert Wannamaker, and Michael Winter. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252038723.003.0005.
Full textGotman, Kélina. Choreomania. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190840419.001.0001.
Full textBook chapters on the topic "Signal-To-Signal Translation"
Pnueli, A., O. Shtrichman, and M. Siegel. "Translation Validation: From SIGNAL to C." In Lecture Notes in Computer Science, 231–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48092-7_11.
Full textCrespo, José. "Space Connectivity and Translation-Invariance." In Mathematical Morphology and its Applications to Image and Signal Processing, 119–26. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4613-0469-2_14.
Full textArmstrong, Ryan, and Carlos Javier Torres Vergara. "Coping with Industry 5.0: An Assessment of Evolving Soft Skills for the Workplace." In Translational Systems Sciences, 57–78. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9730-5_3.
Full text"Transcription and Translation." In Introduction to Genomic Signal Processing with Control, 63–76. CRC Press, 2006. http://dx.doi.org/10.1201/9781420006674.ch6.
Full textShelness, G. "Microsomal signal peptidase complex." In Secretory Pathway, 88. Oxford University PressOxford, 1994. http://dx.doi.org/10.1093/oso/9780198599425.003.0053.
Full textRomisch, Karin, and Ann Corsi. "Protein translocation into the endoplasmic reticulum." In Protein Targeting, 101–22. Oxford University PressOxford, 1996. http://dx.doi.org/10.1093/oso/9780199635627.003.0004.
Full textMaroni, Gustavo. "The α-Amylase Genes: AmyA, AmyB." In An Atlas of Drosophila Genes, 44–50. Oxford University PressNew York, NY, 1993. http://dx.doi.org/10.1093/oso/9780195071160.003.0004.
Full textAhmad, Muneer. "A Biologically-Inspired Computational Solution for Protein Coding Regions Identification in Noisy DNA Sequences." In Advances in Environmental Engineering and Green Technologies, 201–16. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9792-8.ch010.
Full textMcColl, D., and F. U. Hartl. "Ribosome-associated chaperones and protein synthesis: molecular machines catalysing protein targeting, folding and assembly." In Guidebook to Molecular Chaperones and Protein-Folding Catalysts, 489–98. Oxford University PressOxford, 1997. http://dx.doi.org/10.1093/oso/9780198599494.003.00189.
Full textBaker, Suzanne J., and Tom Curran. "Oncogenic transcription factors: FOS, JUN, MYC, MYB, and ETS." In Oncogenes and Tumour Suppressors, 155–85. Oxford University PressOxford, 1997. http://dx.doi.org/10.1093/oso/9780199635955.003.0006.
Full textConference papers on the topic "Signal-To-Signal Translation"
Shokouhmand, Arash, and Negar Tavassolian. "Fetal Movement Cancellation in Abdominal Electrocardiogram Recordings Using Signal-to-Signal Translation." In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2022. http://dx.doi.org/10.1109/embc48229.2022.9871826.
Full textAbdelmadjid, Mohamed Amine, and Mounir Boukadoum. "Neural Network-Based Signal Translation with Application to the ECG." In 2022 20th IEEE Interregional NEWCAS Conference (NEWCAS). IEEE, 2022. http://dx.doi.org/10.1109/newcas52662.2022.9842248.
Full textKim, SangYeon, Hyunwoo Lee, Jonghee Han, and Joon-Ho Kim. "Sig2Sig: Signal Translation Networks to Take the Remains of the Past." In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9415084.
Full textFeeney, S. M., and S. Salous. "High Order Micro-Strip Filters To Support Signal Generation and Translation." In 4th Annual Seminar on Passive RF and Microwave Components. Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/ic.2013.0283.
Full textKwon, Jinuk, Jihun Hwang, and Chang-Hwan Im. "S2S-StarGAN: Signal-to-Signal Translation Method based on StarGAN to Generate Artificial EEG for SSVEP-based Brain-Computer Interfaces." In 2023 11th International Winter Conference on Brain-Computer Interface (BCI). IEEE, 2023. http://dx.doi.org/10.1109/bci57258.2023.10078582.
Full textJiang, R., R. Saperstein, N. Alic, M. Nezhad, C. McKinstrie, J. Ford, Y. Fainman, and S. Radic. "375 THz Parametric Translation of Modulated Signal from 1550nm to Visible Band." In OFCNFOEC 2006. 2006 Optical Fiber Communication Conference and the National Fiber Optic Engineers Conference. IEEE, 2006. http://dx.doi.org/10.1109/ofc.2006.216052.
Full textBirnie, Lachlan, Thushara Abhayapala, Prasanga Samarasinghe, and Vladimir Tourbabin. "Sound Field Translation Methods for Binaural Reproduction." In 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE, 2019. http://dx.doi.org/10.1109/waspaa.2019.8937274.
Full textAmjad, Hafiz Muhammad, Kai Hu, Jianwei Niu, Noor Khan, Loic Besnard, and Jean-Pierre Talpin. "Translation Validation of Code Generation from the SIGNAL Data-Flow Language to Verilog." In 2019 15th International Conference on Semantics, Knowledge and Grids (SKG). IEEE, 2019. http://dx.doi.org/10.1109/skg49510.2019.00034.
Full textDhavale, Aditi Vikrant, Amit Vikrant Dhavale, and Sunita Vikrant Dhavale. "An Intelligent Software Tool for Audio Signal-based Hinglish to English Language Translation." In 2023 IEEE Pune Section International Conference (PuneCon). IEEE, 2023. http://dx.doi.org/10.1109/punecon58714.2023.10450050.
Full textKentgens, Maximilian, and Peter Jax. "Ambient-Aware Sound Field Translation Using Optimal Spatial Filtering." In 2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE, 2021. http://dx.doi.org/10.1109/waspaa52581.2021.9632793.
Full textReports on the topic "Signal-To-Signal Translation"
Barash, Itamar, and Robert Rhoads. Translational Mechanisms Governing Milk Protein Levels and Composition. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7696526.bard.
Full textChristopher, David A., and Avihai Danon. Plant Adaptation to Light Stress: Genetic Regulatory Mechanisms. United States Department of Agriculture, May 2004. http://dx.doi.org/10.32747/2004.7586534.bard.
Full textChamovitz, Daniel, and Albrecht Von Arnim. Translational regulation and light signal transduction in plants: the link between eIF3 and the COP9 signalosome. United States Department of Agriculture, November 2006. http://dx.doi.org/10.32747/2006.7696515.bard.
Full textMeir, Shimon, Michael Reid, Cai-Zhong Jiang, Amnon Lers, and Sonia Philosoph-Hadas. Molecular Studies of Postharvest Leaf and Flower Abscission. United States Department of Agriculture, 2005. http://dx.doi.org/10.32747/2005.7696523.bard.
Full textEpel, Bernard L., Roger N. Beachy, A. Katz, G. Kotlinzky, M. Erlanger, A. Yahalom, M. Erlanger, and J. Szecsi. Isolation and Characterization of Plasmodesmata Components by Association with Tobacco Mosaic Virus Movement Proteins Fused with the Green Fluorescent Protein from Aequorea victoria. United States Department of Agriculture, September 1999. http://dx.doi.org/10.32747/1999.7573996.bard.
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