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423“…Non-homologous end-joining (NHEJ) is a critical error-prone pathway of double strand break repair. …”
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424“…Based on the results, we also propose a data forwarding algorithm suitable for resource constrained WSNs that guarantees end-to-end reliability while adding a small overhead that is relative to the packet error rate (PER). …”
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425por Waters, Crystal A., Strande, Natasha T., Pryor, John M., Strom, Christina, Mieczkowski, Piotr, Burkhalter, Martin D., Oh, Sehyun, Qaqish, Bahjat F., Moore, Dominic T., Hendrickson, Eric A., Ramsden, Dale A.“…Nonhomologous end joining (NHEJ) can effectively resolve chromosome breaks despite diverse end structures, but it is unclear how the steps employed for resolution are determined. …”
Publicado 2014
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426
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427por Pironet, A, Morimont, P, Kamoi, S, Janssen, N, Dauby, PC, Chase, JG, Lambermont, B, Desaive, TEnlace del recurso
Publicado 2015
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428“…The NRs acquire a tendency to attach one to another by their ends (end-to-end assembly). We focus on the investigation of the change in position and shape of the longitudinal surface plasmon (l-SPR) band after self-assembly. …”
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429End-to-end automated microfluidic platform for synthetic biology: from design to functional analysispor Linshiz, Gregory, Jensen, Erik, Stawski, Nina, Bi, Changhao, Elsbree, Nick, Jiao, Hong, Kim, Jungkyu, Mathies, Richard, Keasling, Jay D., Hillson, Nathan J.“…CONCLUSIONS: Taken together, we demonstrate the microfluidic platform’s potential to provide end-to-end solutions for synthetic biology research, from design to functional analysis. …”
Publicado 2016
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430“…As corals are three-dimensional, classical approaches to determine percent cover and structural complexity across spatial scales are inefficient, time-consuming and limited to experts. Here we propose an end-to-end approach to estimate these parameters using low-cost equipment (GoPro, Canon) and freeware (123D Catch, Meshmixer and Netfabb), allowing every community to participate in surveys and monitoring of their coral ecosystem. …”
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431por Masuzzo, Paola, Huyck, Lynn, Simiczyjew, Aleksandra, Ampe, Christophe, Martens, Lennart, Van Troys, Marleen“…Moreover, this single-cell analysis module is complemented by a new data import module that accommodates multiwell plate data obtained from high-throughput experiments, and is easily extensible through a plugin architecture. In conclusion, the end-to-end software solution presented here tackles a key bioinformatics challenge in the cell migration field, assisting researchers in their high-throughput data processing.…”
Publicado 2017
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432por Ng, Laurel J., Volman, Vladislav, Gibbons, Melissa M., Phohomsiri, Pi, Cui, Jianxia, Swenson, Darrell J., Stuhmiller, James H.“…This paper describes the development of the first quantitative end-to-end (E2E) multi-scale model that links gross head motion to neurological injury by integrating fundamental elements of tissue and cellular mechanical response with axonal dysfunction. …”
Publicado 2017
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433“…Microsurgery simulation training is moving to include nonliving models, where possible, according to the principles of the replacement, reduction, and refinement of the use of animals in research. While a standardized end-product assessment tool for nonliving end-to-end anastomosis exists, there is no similar tool for end-to-side anastomosis. …”
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434por Ainsworth, Cameron H., Paris, Claire B., Perlin, Natalie, Dornberger, Lindsey N., Patterson, William F., Chancellor, Emily, Murawski, Steve, Hollander, David, Daly, Kendra, Romero, Isabel C., Coleman, Felicia, Perryman, Holly“…We use a spatially explicit biogeochemical end-to-end ecosystem model, Atlantis, to simulate impacts from the Deepwater Horizon oil spill and subsequent recovery of fish guilds. …”
Publicado 2018
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436“…In this paper, one solution for an end-to-end deep neural network for autonomous driving is presented. …”
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437“…In addition, because even blind values cannot be exposed to the possible attackers, our BSM scheme guarantees very secure end-to-end data transfer against active attacks such as falsification of data and transactions. …”
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439por Pena, Danilo, Barman, Arko, Suescun, Jessika, Jiang, Xiaoqian, Schiess, Mya C., Giancardo, Luca“…Our approach is trained end-to-end and learns how a patient's brain structure dynamically changes between two-time points directly from the raw voxels. …”
Publicado 2019
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440“…The proposed MCNN utilizes filters with receptive fields of different sizes to have Multi-level and Multi-layer image perception, and consists of three components: front-end, middle-end and back-end. The first seven layers VGG16 are taken as front-end for two-dimensional feature extraction, Inception-A is taken as the middle-end for deeper learning feature representation, and Large-Margin Softmax Loss (L-Softmax) is taken as the back-end for enhancing intra-class compactness and inter-class-separability. …”
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