Challenges in data‐based degradation models for lithium‐ion batteries
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Energy Research"
DOI: 10.1002/er.5196
Abstract: This work summarizes the findings resulting from applying an aging modeling approach to four different capacity loss experimental datasets of lithium‐ion batteries (LIBs). This approach assumes that the degradation trajectory of the capacity is a… read more here.
Keywords: lithium ion; data based; based degradation; ion batteries ... See more keywords
Transcriptome‐wide summary data‐based Mendelian randomization analysis reveals 38 novel genes associated with severe COVID‐19
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Medical Virology"
DOI: 10.1002/jmv.28162
Abstract: Severe COVID‐19 has a poor prognosis, while the genetic mechanism underlying severe COVID‐19 remains largely unknown. We aimed to identify genes that are potentially causally associated with severe COVID‐19. We conducted a summary data‐based Mendelian… read more here.
Keywords: severe covid; covid; analysis; associated severe ... See more keywords
Data-based analysis of multimodal partial cavity shedding dynamics
Sign Up to like & getrecommendations! Published in 2020 at "Experiments in Fluids"
DOI: 10.1007/s00348-020-2940-x
Abstract: Abstract Time-resolved X-ray densitometry void fraction measurements and accompanying acoustic emissions have revealed that partial cavity shedding on a hydrofoil can be multimodal, with spontaneous changes in shedding sequence (referred to here as cavitation style)… read more here.
Keywords: partial cavity; cavity shedding; analysis; cavity ... See more keywords
Novel 1,3,4-thiadiazoles inhibit colorectal cancer via blockade of IL-6/COX-2 mediated JAK2/STAT3 signals as evidenced through data-based mathematical modeling.
Sign Up to like & getrecommendations! Published in 2018 at "Cytokine"
DOI: 10.1016/j.cyto.2018.03.026
Abstract: We attempted a preclinical study using DMH-induced CRC rat model to evaluate the antitumor potential of our recently synthesized 1,3,4-thiadiazoles. The molecular insights were confirmed through ELISA, qRT-PCR and western blot analyses. The CRC condition… read more here.
Keywords: jak2 stat3; based mathematical; mathematical modeling; cox ... See more keywords
Data-based Iterative Human-in-the-loop Robot-Learning for Output Tracking
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.2142
Abstract: Abstract This article develops a data-based approach for improved iterative robot-learning for output-tracking from novice human-in-the-loop demonstrations. While nominal human-response models can be used to improve iterative learning, the convergence can be slow due to… read more here.
Keywords: learning output; human loop; data based; output tracking ... See more keywords
Agreement was moderate between data-based and opinion-based assessments of biases affecting randomized trials within meta-analyses
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Clinical Epidemiology"
DOI: 10.1016/j.jclinepi.2020.05.009
Abstract: Background and Objective Randomized trials included in meta-analyses are often affected by bias caused by methodological flaws or limitations, but the degree of bias is unknown. Two proposed methods adjust the trial results for bias… read more here.
Keywords: agreement; trial; meta; data based ... See more keywords
Data-based approximate optimal control for nonzero-sum games of multi-player systems using adaptive dynamic programming
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.086
Abstract: This paper investigates the non-zerosum game issue for unknown nonlinear systems with multi-player by using data-based adaptive dynamic programming (ADP) methods. It is known that the traditional ADP approaches require accurate system models to compute… read more here.
Keywords: multi player; adaptive dynamic; data based; approximate optimal ... See more keywords
Valid data based normalized cross-correlation (VDNCC) for topography identification
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.04.059
Abstract: Abstract The Normalized Cross-Correlation (NCC) function is a widely used pattern-matching method. However, when the input data have a void area created by non-rectangular data or outliers, the accuracy of the standard NCC function may… read more here.
Keywords: topography; normalized cross; cross correlation; data based ... See more keywords
Consequences of ignoring the response-shift and measure non-invariant items in sleep studies: an empirical data based simulation of the treatment effect of CBT-I on dysfunctional sleep beliefs.
Sign Up to like & getrecommendations! Published in 2020 at "Sleep medicine"
DOI: 10.1016/j.sleep.2020.05.010
Abstract: INTRODUCTION Previous studies have shown that psychological interventions do not only improve patients' mental symptoms (i.e., true change) but may also change the internal standards patients use to evaluate their symptoms (i.e., response shifts). Although… read more here.
Keywords: response; empirical data; data based; sleep studies ... See more keywords
Multiple-data-based monthly geopotential model set LDCmgm90
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Data"
DOI: 10.1038/s41597-019-0239-7
Abstract: AbstractWhile the GRACE (Gravity Recovery and Climate Experiment) satellite mission is of great significance in understanding various branches of Earth sciences, the quality of GRACE monthly products can be unsatisfactory due to strong longitudinal stripe-pattern… read more here.
Keywords: difference combination; monthly geopotential; multiple data; least difference ... See more keywords
Physics captured by data-based methods in El Niño prediction.
Sign Up to like & getrecommendations! Published in 2022 at "Chaos"
DOI: 10.1063/5.0101668
Abstract: On average once every four years, the Tropical Pacific warms considerably during events called El Niño, leading to weather disruptions over many regions on Earth. Recent machine-learning approaches to El Niño prediction, in particular, Convolutional… read more here.
Keywords: captured data; physics; based methods; prediction ... See more keywords