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a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
values decrease » values increased (Expand Search), largest decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
data decrease » rate decreased (Expand Search), deaths decreased (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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1321
Image 6_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpeg
Published 2025“…In conclusion, our results highlight overlapping myeloid effector involvement, along with distinct immunophenotypic responses, such as a decrease in naive B cells in AS subjects and a reduction in the CD8/NK cell population in AAU subjects. …”
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1322
Image 9_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpeg
Published 2025“…In conclusion, our results highlight overlapping myeloid effector involvement, along with distinct immunophenotypic responses, such as a decrease in naive B cells in AS subjects and a reduction in the CD8/NK cell population in AAU subjects. …”
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1323
Image 5_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpeg
Published 2025“…In conclusion, our results highlight overlapping myeloid effector involvement, along with distinct immunophenotypic responses, such as a decrease in naive B cells in AS subjects and a reduction in the CD8/NK cell population in AAU subjects. …”
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1324
Image 3_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpeg
Published 2025“…In conclusion, our results highlight overlapping myeloid effector involvement, along with distinct immunophenotypic responses, such as a decrease in naive B cells in AS subjects and a reduction in the CD8/NK cell population in AAU subjects. …”
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1325
Image 7_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpg
Published 2025“…In conclusion, our results highlight overlapping myeloid effector involvement, along with distinct immunophenotypic responses, such as a decrease in naive B cells in AS subjects and a reduction in the CD8/NK cell population in AAU subjects. …”
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1326
Image 1_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpeg
Published 2025“…In conclusion, our results highlight overlapping myeloid effector involvement, along with distinct immunophenotypic responses, such as a decrease in naive B cells in AS subjects and a reduction in the CD8/NK cell population in AAU subjects. …”
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1327
Image 2_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpeg
Published 2025“…In conclusion, our results highlight overlapping myeloid effector involvement, along with distinct immunophenotypic responses, such as a decrease in naive B cells in AS subjects and a reduction in the CD8/NK cell population in AAU subjects. …”
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1328
Image 4_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpeg
Published 2025“…In conclusion, our results highlight overlapping myeloid effector involvement, along with distinct immunophenotypic responses, such as a decrease in naive B cells in AS subjects and a reduction in the CD8/NK cell population in AAU subjects. …”
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1329
Image 8_Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.jpeg
Published 2025“…In conclusion, our results highlight overlapping myeloid effector involvement, along with distinct immunophenotypic responses, such as a decrease in naive B cells in AS subjects and a reduction in the CD8/NK cell population in AAU subjects. …”
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1330
Evaluation of PCR amplification bias and PCR amplification efficiency.
Published 2025“…(<b>C</b>) The ΔCt value, calculated by subtracting the CT value of the MSP primer set from that of the MIP primer set for each sample, proportionally increases as the DNA input decreases, indicating the Pfaffl formula to be suitable for relative quantification. …”
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1331
3-D burrow morphology of <i>Chondrites targionii</i> (Brongniart, 1828) from an Upper Jurassic firmground of Southern Germany
Published 2025“…Eleven identified burrow portions are likely parts of three larger burrow systems. With intermediate effect size, statistically compared branch widths revealed significantly decreasing widths from unbranched tunnels over root branches to their side branches, which, along with the scale-leaf-shaped structures, may indicate a vermiform tracemaker. …”
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1332
Impact of pathogen shedding characteristics on estimation accuracy.
Published 2025“…The violin plot represents the distribution of the detected Ct values for the 200 randomly selected individuals in each trajectory panel, and the horizontal dashed line represents the median Ct value at detection for individuals infected with each pathogen during the increasing epidemic as a reference for comparing the Ct distributions for each pathogen during different epidemic periods. …”
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1333
Perspectives on research DTTC (Thomas et al., 2025)
Published 2025“…Questions explored perceptions of research DTTC treatment and experiences of participating in a research study. Data were analyzed with inductive thematic analysis using an iterative and reflective process.…”
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1334
Overcoming educational neuromyths: exploring the impact of metaphorical framing on confirmation bias and beliefs
Published 2025“…The objective was to assess the efficacy of metaphorical framing in reducing adherence to neuromyths and to investigate its relationship to confirmation bias and belief change. The results indicated a robust initial belief in the neuromyth of learning styles, with a significant post-intervention decrease, particularly in the shield and control conditions. …”
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1335
Ambulatory modeling of vocal hyperfunction (Parra et al., 2025)
Published 2025“…</p><p dir="ltr"><b>Results: </b>Results showed significant differences between the PVH and control groups in key parameters, including statistical moments of H1–H2, SPL, PS, and muscle activity of lateral cricoarytenoid (LCA) and cricothyroid (CT) muscles. Higher DPI values, reflecting more severe PVH, were associated with increased mean LCA activation and decreased LCA variability, along with decreased mean CT activation and increased median PS. …”
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1336
Raw data underlying the findings in this study.
Published 2024“…On average, male Three-lips fish are larger in length and weight than females, and in many species, females prefer larger males to smaller males, viewing their size as an indicator of genetic fitness and their ability to provide protection. …”
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1337
Software testing process flowchart.
Published 2025“…In many projects, software experts implement this process manually, which requires exorbitant time and effort. Although there are a few studies on automatic bug report classification using machine learning techniques, they mainly focus on structured open-source datasets. …”
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1338
The ROC of LR for three classes.
Published 2025“…In many projects, software experts implement this process manually, which requires exorbitant time and effort. Although there are a few studies on automatic bug report classification using machine learning techniques, they mainly focus on structured open-source datasets. …”
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1339
The ROC of MNB for three classes.
Published 2025“…In many projects, software experts implement this process manually, which requires exorbitant time and effort. Although there are a few studies on automatic bug report classification using machine learning techniques, they mainly focus on structured open-source datasets. …”
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1340
Problem solution process model.
Published 2025“…In many projects, software experts implement this process manually, which requires exorbitant time and effort. Although there are a few studies on automatic bug report classification using machine learning techniques, they mainly focus on structured open-source datasets. …”