1,721,201 research outputs found
Novel informed deep learning-based prognostics framework for on-board health monitoring of lithium-ion batteries
No full textThis paper proposes a novel, informed deep-learning-based prognostics framework for on-board state of health and remaining useful life estimations of lithium-ion batteries, which are critical components for strategizing energy and power used in electric vehicles. The framework comprises three phases. First, reliable and online accessible impedance-related features are collected from discharge curves. Second, these features are inputted into the proposed knowledge-infused recurrent neural network, a hybrid model that combines an empirical model with a deep neural network. Third, Monte Carlo dropout, a deep learning method for obtaining a probabilistic prediction of a neural network, is addressed to secure robustness in estimating the state of health and remaining useful life. Layer-wise relevance propagation, a deep learning technique for tracking the evolution of feature importance and offering scientific reasoning of the output, confirms that impedance-related features significantly contribute to the estimation accuracy compared to other features investigated in previous studies. Moreover, the hybrid model improves the estimation accuracy and robustness, whereas Monte Carlo dropout ensures robustness and reliability. Specifically, the estimation results for the public degradation data reveal that the proposed model can output significantly more accurate state of health and remaining useful life estimations than the baseline deep neural networks. The findings of this study provide insight into the explicable and uncertainty-based pipeline of deep neural networks with respect to battery health monitoring, which are highly recommendable features for decision-making and corrective planning of power and energy used in lithium-ion battery cells and packs.
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Bahamaolide A from the marine-derived Streptomyces sp CNQ343 inhibits isocitrate lyase in Candida albicans
No full textBahamaolide A, a new macrocyclic lactone isolated from the culture of marine actinomycete Streptomyces sp. CNQ343, was evaluated for its inhibitory activity toward isocitrate lyase (ICL) from Candida albicans. These studies led to the identification of bahamaolide A as a potent ICL inhibitor with IC50 value of 11.82 mu M. The growth phenotype of ICL deletion mutants and quantitative RT-PCR analyses indicated that this compound inhibits the ICL mRNA expression in C albicans under C-2-carbon-utilizing conditions. The present data highlight the potential for bahamaolide A treatment of C. albicans infections via inhibition of ICL activity. (C) 2014 Elsevier Ltd. All rights reserved.N
Acremolin, a new 1H-azirine metabolite from the marine-derived fungus Acremonium strictum
No full textAcremolin (1), a novel modified base, was isolated from the culture broth of the marine fungus Acremonium strictum. Based on combined spectroscopic analyses, the structure of this compound was that of a methyl guanine base containing an isoprene unit. In addition, the presence of a 1H-azirine moiety is unprecedented among natural products. This compound exhibited weak cytotoxicity against an A549 cell line. (C) 2012 Elsevier Ltd. All rights reserved.N
New meroterpenoids from a penicillium sp. fungus
No full textTwo meroterpenoids (1 and 2) along with twelve known compounds (3 - 14) were isolated from the culture broth of a Penicillium sp. fungus collected from Chuja-do, Korea. Based on the results of a combination of spectroscopic analyses, the new compounds, preaustinoids E (1) and F (2), were determined to be epimeric austin-type penta-cyclic lactones.N
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