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point decrease » point increase (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), teer decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
a point » _ point (Expand Search), 5 point (Expand Search), _ points (Expand Search)
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6401
An example time series obtained from one rat in the vericiguat protocol.
Published 2023“…<p>CSP was changed in a stepwise manner with a step duration of 60 s. …”
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6402
An example time series obtained from one rat in the SNP protocol.
Published 2023“…<p>CSP was changed in a stepwise manner with a step duration of 60 s. …”
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6403
Immunofluorescent staining of TRPV1 and analysis of its expression pattern in DRG neurons at varying time points after the establishment of DMA.
Published 2014“…<b>G</b>, histogram for size distribution of TRPV1-IR neurons. Note the decreased distribution of TRPV1 in neurons with cross-sectional area larger than 400–500 and increased distribution of this protein within the range of 100–400 µm<sup>2</sup> (n = 4–6). …”
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6404
A schematic view of ACS.
Published 2025“…These findings point out to a substantial possibility for lowering thermal emissions and increasing energy efficiency, and that provides a long-term way to use waste energy in automobiles.…”
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6405
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6406
Spatial Quantification of Microstructural Degradation during Fast Charge in 18650 Lithium-Ion Batteries through Operando X‑ray Microtomography and Euclidean Distance Mapping
Published 2022“…Two 18650 batteries were measured during cycling after antecedent fast charging cycles to track morphological damage at different points of battery life. A method of deep learning segmentation was used to objectively quantify the electrode degradation. …”
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6407
Spatial Quantification of Microstructural Degradation during Fast Charge in 18650 Lithium-Ion Batteries through Operando X‑ray Microtomography and Euclidean Distance Mapping
Published 2022“…Two 18650 batteries were measured during cycling after antecedent fast charging cycles to track morphological damage at different points of battery life. A method of deep learning segmentation was used to objectively quantify the electrode degradation. …”
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6408
Predicting inadequate postoperative pain management in depressed patients: A machine learning approach
Published 2019“…The primary outcome was the difference between preoperative pain score and postoperative pain at discharge, 3-week and 8-week time points. We developed computational models to predict the increase or decrease in the postoperative pain across the 3 time points by using the patient’s EHR data (e.g. medications, vitals, demographics) captured before surgery. …”
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6409
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6410
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6411
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6412
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6413
Fabrication of Recyclable Polyisoprene Elastomers with Tuneable Mechanical Properties by Incorporating Dynamic Bonds and Separated Polystyrene Phase
Published 2024“…The experimental results show that the flow of PS phases above <i>T</i><sub>g,PS</sub> effectively accelerates the rearrangement of dynamic covalent networks, so that the exchange activation energy (<i>E</i><sub>a</sub>) and topological freezing transition temperature (<i>T</i><sub>v</sub>) of the samples decrease with the increase of the PS phase content, giving the samples superior recyclability and self-healing ability. …”
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6414
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6415
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6416
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6417
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6418
Data_Sheet_1_Xylanase Supplementation Modulates the Microbiota of the Large Intestine of Pigs Fed Corn-Based Fiber by Means of a Stimbiotic Mechanism of Action.pdf
Published 2021“…<p>This research tested the hypothesis that xylanase modulates microbial communities within the large intestine of growing pigs fed corn-based fiber through a stimbiotic mechanism(s) of action (MOA). Sixty gilts were blocked by initial body weight, individually housed, and randomly assigned to one of four dietary treatments (n = 15): a low-fiber (LF) control, a high-fiber (HF) control containing 30% corn bran, HF+100 mg/kg xylanase (HF+XY), and HF+50 mg/kg arabinoxylan-oligosaccharide (HF+AX). …”
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6419
CONSORT 2025 Flow Diagram [70].
Published 2025“…Time to peak and recovery time were longest in the standing position (p = 0.003–0.009). HRV analyses revealed a significant decrease in AVNN from supine to sitting and standing (p = 0.003), while SDNN and LF/HF increased in upright positions (sitting and standing) (p < 0.013). …”
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6420