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361por Krause, Fabian, Risske, Franziska, Bohn, Susann, Delaperriere, Marc, Dunst, Jürgen, Siebert, Frank-André“…In this work, we describe an end-to-end test for computed tomography (CT)-based brachytherapy with an high-dose-rate (HDR) afterloading device, which fulfills the recommendation of the German radiation-protection-commission. …”
Publicado 2018
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362“…The peak-end memory bias has been well documented for the retrospective evaluation of pain. …”
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363por Chen, Xiuzhen, Widmer, Lukas A, Stangier, Marcel M, Steinmetz, Michel O, Stelling, Jörg, Barral, Yves“…Here we show that yeast spindle pole bodies (SPBs, yeast centrosomes) differentially control the plus-end dynamics and cargoes of their astral microtubules, remotely from the minus-end. …”
Publicado 2019
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365por Li, Yachao, Fairman, Robert T., Churchill, Victoria, Ashley, David L., Popova, Lucy“…Users’ modifications to electronic nicotine delivery systems (ENDS) products could increase initiation, inhibit cessation, or change the toxicity of the product. …”
Publicado 2020
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366por Srivatsan, Sanjay, Heidl, Sarah, Pfau, Brian, Martin, Beth K., Han, Peter D., Zhong, Weizhi, van Raay, Katrina, McDermot, Evan, Opsahl, Jordan, Gamboa, Luis, Smith, Nahum, Truong, Melissa, Cho, Shari, Barrow, Kaitlyn A., Rich, Lucille M., Stone, Jeremy, Wolf, Caitlin R., McCulloch, Denise J., Kim, Ashley E., Brandstetter, Elisabeth, Sohlberg, Sarah L., Ilcisin, Misja, Geyer, Rachel E., Chen, Wei, Gehring, Jase, Kosuri, Sriram, Bedford, Trevor, Rieder, Mark J., Nickerson, Deborah A., Chu, Helen Y., Konnick, Eric Q., Debley, Jason S., Shendure, Jay, Lockwood, Christina M., Starita, Lea M.“…To address shortages, we developed SwabExpress, an end-to-end protocol developed to employ mass produced anterior nares swabs and bypass the requirement for transport media and nucleic acid extraction. …”
Publicado 2021
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368“…In this study, we propose and test a deep convolutional neural network for analyzing cytometry data in an end-to-end fashion, allowing a direct association between raw cytometry data and the clinical outcome of interest. …”
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369“…Thermal imaging was first reported as a method for detection of arterial perforators in 1968 and has since been shown to be an extremely accurate way to assess perforators with an audible Doppler signal, using high-end professional thermal cameras. This technology has recently become easily accessible with the advent of smartphone-compatible, low-end thermal cameras. …”
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370“…An automatic accurate T-wave end (T-end) annotation for the electrocardiogram (ECG) has several important clinical applications. …”
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371“…In this paper, we have proposed an end-to-end fingerprint matching system to automatically enhance, extract minutiae, and produce matching results. …”
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373“…Path planning is an essential technology for lunar rover to achieve safe and efficient autonomous exploration mission, this paper proposes a learning-based end-to-end path planning algorithm for lunar rovers with safety constraints. …”
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374“…This paper presents an end-to-end feature selection and diagnosis method that organically unifies feature expression learning and machine prediction learning into one model. …”
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375“…An end-to-end sea fog removal network using multiple scattering model was proposed. …”
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376“…To better serve this purpose, research on the architecture and design of such systems is also important. We present the End-to-End Computer Vision Framework, an open-source solution that aims to support researchers and teachers within the image processing vast field. …”
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377“…In an end-to-end authentication (E2EA) scheme, the physician, patient, and sensor nodes authenticate each other through the healthcare service provider in three phases: the long-term authentication phase (LAP), short-term authentication phase (SAP), and sensor authentication phase (WAP). …”
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378“…This study aims to solve the problems of poor exploration ability, single strategy, and high training cost in autonomous underwater vehicle (AUV) motion planning tasks and to overcome certain difficulties, such as multiple constraints and a sparse reward environment. In this research, an end-to-end motion planning system based on deep reinforcement learning is proposed to solve the motion planning problem of an underactuated AUV. …”
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380“…Recently, Tsubaki et al. proposed an end-to-end learning method to predict the activity of compounds for novel target proteins. …”
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