يعرض 41 - 60 نتائج من 125,629 نتيجة بحث عن '(((( ((b large) OR (a large)) decrease ) OR ( i levels increased ))) OR ( c larger decrease ))', وقت الاستعلام: 2.58s تنقيح النتائج
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    Differential expression analysis of nuclear transcripts after siAPOBEC3A depletion reveals induction of TP53 targets and decreases in cell cycle and cell growth regulator transcrip... حسب Mason A. McCool (11889842)

    منشور في 2024
    "…Data were analyzed by Fisher’s exact test, **** <i>p</i> ≤ 0.0001. (B) siAPOBEC3A treatment increases <i>CDKN1A</i> nuclear transcript levels in MCF10A cells by RNA-seq. …"
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    Increasing the number of commonly represented features decreases the assignment error rate, but increases the level of redundancy between the representations. حسب W. Jeffrey Johnston (8463480)

    منشور في 2023
    "…This is true for points with any distribution that has non-zero variance. <b>C</b> At the average distance between two points (dashed lines), the probability of an assignment error decreases by orders of magnitude as the dimensionality of the commonly represented space increases, without changing the estimator variance for the representations <i>D</i><sub><i>XY</i></sub> = 10. …"
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    Decreased MBP levels in the brain in <i>Large</i><sup><i>myd/myd</i></sup> mice. حسب Shigefumi Morioka (8893511)

    منشور في 2020
    "…<p><b>A,</b> Brain sections of eight-week-old control and <i>Large</i><sup><i>myd/myd</i></sup> mice at the level of the corpus callosum were obtained for immunostaining for MBP (Scale bars: 200 μm). …"
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    Mutational landscape of immune surveillance genes in diffuse large B-cell lymphoma حسب Marijana Nesic (8771654)

    منشور في 2020
    "…<p>Immune surveillance is the dynamic process whereby the immune system identifies and kills tumor cells based on their aberrant expression of stress-related surface molecules or presentation of tumor neoantigens. It plays a crucial role in controlling the initiation and progression of hematologic cancers such as leukemia and lymphoma, and it has been reported that diffuse large B-cell lymphoma (DLBCL) fails to express specific cell-surface molecules that are necessary for the recognition and elimination of tumor cells.…"
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    Deletion of murine <i>Rhoh</i> leads to de-repression of <i>Bcl-6</i> via decreased KAISO levels and accelerates a malignancy phenotype in a murine model of lymphoma حسب Hiroto Horiguchi (3215001)

    منشور في 2022
    "…The loss of Rhoh in Bcl-6<sup>Tg</sup> mice led to a more rapid disease progression. Mechanistically, we demonstrated that deletion of Rhoh in these murine lymphoma cells was associated with decreased levels of the RhoH binding partner KAISO, a dual-specific Zinc finger transcription factor, de-repression of KAISO target Bcl-6, and downregulation of the BCL-6 target Blimp-1. …"
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    Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas حسب Malena Sibaja Leyton (18400983)

    منشور في 2025
    "…</p><p><br></p><p dir="ltr">#METADATA</p><p dir="ltr">#'data.frame': 472 obs. of 28 variables:</p><p dir="ltr"> #$ ID: Factor variable; a unique identity for the response to the survey</p><p dir="ltr"> #$ Year: Factor variable; six factors available (2016, 2017, 2018, 2019, 2020, 2021) representing the year for the response to the survey</p><p dir="ltr"> #$ N_dead_annual: Numeric variable; representing the number of colonies annually lost</p><p dir="ltr">#$ N_alive_annual: Numeric variable; representing the number of colonies annually alive</p><p dir="ltr"> #$ N_dead_dry: Numeric variable; representing the number of colonies lost during the dry season</p><p dir="ltr">#$ N_alive_dry: Numeric variable; representing the number of colonies alive during the dry season</p><p dir="ltr"> #$ N_dead_rainy: Numeric variable; representing the number of colonies lost during the rainy season</p><p dir="ltr">#$ N_alive_rainy: Numeric variable; representing the number of colonies alive during the rainy season</p><p dir="ltr"> #$ Education: Factor variable; four factors are available ("Self-taught","Learned from another melip","Intro training","Formal tech training"), representing the training level in meliponiculture</p><p dir="ltr"> #$ Operation_Size: Numeric variable; representing the number of colonies managed by the participant (in n)</p><p dir="ltr"> #$ propAgri: Numeric variable; representing the percentage of agricultural area surrounding the meliponary (in %)</p><p dir="ltr"> #$ propForest: Numeric variable; representing the percentage of forested area surrounding the meliponary (in %)</p><p dir="ltr">#$ temp.avg_annual: Numeric variable; representing the average annual temperature (in ºC)</p><p dir="ltr">#$ precip_annual_sum: Numeric variable; representing the total accumulated precipitation (in mm)</p><p dir="ltr">#$ precip_Oct_March_sum: Numeric variable; representing the total accumulated precipitation between October to March (in mm)</p><p dir="ltr">#$ precip_Apri_Sept_sum: Numeric variable; representing the total accumulated precipitation between April to September (in mm)</p><p dir="ltr">#$ temp.avg_Oct_March: Numeric variable; representing the total accumulated precipitation between October to March (in ºC)</p><p dir="ltr">#$ temp.avg_Apri_Sept: Numeric variable; representing the total accumulated precipitation between April to September (in ºC)</p><p dir="ltr"> #$ Importance_dead: Factor variable; three factors are available Normal","High","Very high"), representing the perception of the significance of annual colony losses</p><p dir="ltr"> #$ Climatic_environmental: Binary variable; representing if the participant considered climatic and environmental problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr"> #$ Contamination: Binary variable; representing if the participant considered contamination problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr"> #$ Nutritional: Binary variable; representing if the participant considered nutritional problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Sanitary: Binary variable; representing if the participant considered sanitary problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Queen: Binary variable; representing if the participant considered queen problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Time: Binary variable; representing if the participant considered time problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Economic: Binary variable; representing if the participant considered economic problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Attacks: Binary variable; representing if the participant considered time attacks as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Swarming: Binary variable; representing if the participant considered swarming problems as a potential driver (1) or not (0) of their annual colony losses</p><p><br></p>…"
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