Leveraging AI to automate detection and quantification of extrachromosomal DNA to decode drug responses by Kohen Goble, Aarav Mehta, Damien Guilbaud, Jacob Fessler, Jingting Chen, William Nenad, William Nenad, Christina G. Ford, Oliver Cope, Darby Cheng, William Dennis, Nithya Gurumurthy, Yue Wang, Kriti Shukla, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk

“…This pipeline is tailored to monitor ecDNA dynamics during drug treatment.ResultsOur approach effectively quantified ecDNA changes, providing a robust framework for analyzing the adaptive responses of cancer cells under therapeutic pressure.DiscussionThe pipeline not only serves as a valuable resource for automating ecDNA detection in metaphase FISH images but also highlights the role of ecDNA in facilitating swift and reversible adaptation to epigenetic remodeling agents such as JQ1.…”
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Improving the technical and economic efficiency of a derivation-type inverter of micro hydro power plant by B. V. Lukutin, M. M. Popov

“…The authors justify the possibility of saving financial resources by reducing the length of the derivationtype micro hydro power plant's pressure pipeline with an energy storage system. To optimally control the generating and transforming equipment of an autonomous power supply system, a control algorithm is proposed based on criteria for limiting the range of hydrogenerator rotational frequencies and ensuring the rational operating mode of the electric energy storage batteries according to the load's power consumption schedule. …”
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Towards a fully automated underwater census for fish assemblages in the Mediterranean Sea by Kilian Bürgi, Charles Bouveyron, Diane Lingrand, Benoit Derijard, Frédéric Precioso, Cécile Sabourault

“…For the video analysis, a comprehensive fully automated pipeline was developed to extract frames from DOV and perform colour correction. …”
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Simulating Genetic Mixing in Strongly Structured Populations of the Threatened Southern Brown Bandicoot (Isoodon obesulus) by John G. Black, Steven J. B. Cooper, Thomas L. Schmidt, Andrew R. Weeks

“…We assess genetic diversity in the 12 populations using an individualised autosomal heterozygosity pipeline, using these results to identify a candidate recipient population for genetic mixing simulations. …”
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Knowledge Driven Machine Learning Towards Interpretable Intelligent Prognostics and Health Management: Review and Case Study by Ruqiang Yan, Zheng Zhou, Zuogang Shang, Zhiying Wang, Chenye Hu, Yasong Li, Yuangui Yang, Xuefeng Chen, Robert X. Gao

“…A promising approach to overcoming these challenges is to embed domain knowledge into the ML pipeline, enhancing the model with additional pattern information. …”
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Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data by H. T. Rüdisser, A. Windisch, U. V. Amerstorfer, C. Möstl, T. Amerstorfer, R. L. Bailey, M. A. Reiss

“…For the automatic detection of ICMEs we propose a pipeline using a method that has recently proven successful in medical image segmentation. …”
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Survey algorithm for cold and hot water supply systems of residential buildings by N. A. Makisha, V. A. Chukhin

“…Currently, there is a wide variety of methods for monitoring the condition of pipeline systems which require a different set of equipment. …”
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Investigations on Internal Ballistic Characteristics of Pasty Propellant Rocket Engine by Xinyou Shan, Yingkun Li, Xiong Chen, Yan Wu, Yong He, Weixuan Li

“…The effects of ignition delay time, transport pipeline structure, free volume of the combustion chamber, mass flow rate, and flow velocity of the pasty propellant on internal ballistic characteristics of the pasty propellant rocket engine are investigated. …”
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Visual Route Recognition in Urban Spaces: A Scalable Approach Using Open Street View Data by Menglin Wu, Qingren Jia, Anran Yang, Zhinong Zhong, Mengyu Ma, Luo Chen, Ning Jing

“…This article presents a novel pipeline for visual route recognition (VRR) in large-scale urban environments, leveraging open street view data. …”
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Research on Telecom Data Service Open Ability Under the Environment of Big Data by Chun Liu, Haifeng Zou, Yong Xiang

“…Data resource is the core asset of telecom operators, under the environment of the data surging, opening data service ability is advantage to the operator to increase the value and revenue of pipeline, but it also need higher requirements of the operating capacity. …”
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Application of integrating VC cross-connecting function with OTN system by Heping LIN, Cheng WANG, Jinliang ZHANG, Jixian CAO, Zhiying GAO, Shuai KANG

“…Due to the advantage of rigidity pipeline,SDH is irreplaceable in carrying high priority service circuit.However,it will withdraw because of equipment ageing.A solution of OTN system with VC cross-connecting function was proposed for the situation which SDH network faced,which could minimize space requirements,conserve energy,save the resource of optical fiber and reduce the operational risk while keeping the advantage of OTN high bandwidth transmission.Pilot testing proves that the system works well and accords with correlative criterion.…”
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Les aqueducs de Lyon à l’approche de la ville antique by Emmanuelle Dumas

“…The last known point of this aqueduct is located at the entrance to the Col de Trion, which it had to cross in a free buried pipeline following the contour lines to reach the urban districts of the eastern slope of Fourvière Hill at an altitude of slightly less than 261 m.For its part, the Yzeron aqueduct has been spotted in only two places on the Point-du-Jour plateau, which it crossed via an underground pipeline. …”
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Research and Verification on SDN-Based On-Demand Smart Routing System by Xinping Wang, Qian Wang, Enhui Liu, Yiran Ma, Chengyong Lin, Fan Shi

“…Open programmable SDN concept can be perfectly combined with intelligent network pipeline demand. Research on S-NICE architecture has explored in this field. …”
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Regional Hydrogen Potentials by Michael Bräuninger, Silvia Stiller, Mark-Oliver Teuber

“…The assessment is based on quantitative indicators for the supply structures (renewable energy, pipeline network), the demand side (industry, transport and heat), and on regional knowledge (research institutions and projects). …”
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MergeReference: A Tool for Merging Reference Panels for HLA Imputation by Seungho Cook, Buhm Han

“…Our software, MergeReference, helps achieve this goal by providing a streamlined pipeline for combining multiple reference panels into one.…”
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Machine Learning-Based Radiomics Analysis for Identifying KRAS Mutations in Non-Small-Cell Lung Cancer from CT Images: Challenges, Insights and Implications by Mirjam Schöneck, Nicolas Rehbach, Lars Lotter-Becker, Thorsten Persigehl, Simon Lennartz, Liliana Lourenco Caldeira

“…In this study, a machine learning (ML) pipeline was applied to radiomic features extracted from public and internal CT images to identify KRAS mutations in NSCLC patients. …”
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Study on the mechanical properties and failure mechanism of a multi-lithologic layered rock mass by Bo Zeng, Guozhou Qiu, Haoyong Huang, Yintong Guo, Ersi Xu, Junchuan Gui, Junfeng Li

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RAPID: real-time automated plankton identification dashboard using Edge AI at sea by Sophie G. Pitois, Robert E. Blackwell, Hayden Close, Noushin Eftekhari, Sarah L. C. Giering, Mojtaba Masoudi, Eric Payne, Joseph Ribeiro, James Scott

“…Data loss occurred along the real-time pipeline, mostly due to the processing limitation of the Edge AI system. …”
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Analysis and optimization of LN2 two-phase flow in CRAFT NNBI cryopump by Qianxu Wang, Yuanlai Xie, Huihui Hong, Yang Zhu, Fang Wang, Kun Tian, Bin Li

“…Thermal analysis of the thermal radiation shielding baffle (LN2 cooling) was carried out by Ansys steady-state thermal analysis software, while Fluent was used to simulate the two-phase flow in the LN2 pipeline, then the pressure drops, temperature, velocity, gas-phase volume fraction, and other parameters of the two pipeline structures were analyzed and compared. …”
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Multimodal machine learning for analysing multifactorial causes of disease—The case of childhood overweight and obesity in Mexico by Rosario Silva Sepulveda, Magnus Boman, Magnus Boman

“…The supervised pipeline employed four methods: Linear classifier with Elastic Net regularisation, k-Nearest Neighbour, Decision Tree, and Random Forest. …”
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