يعرض 1 - 20 نتائج من 37,416 نتيجة بحث عن '(((( ((a large) OR (_ largest)) decrease ) OR ( i large decrease ))) OR ( c numbers increased ))*', وقت الاستعلام: 1.56s تنقيح النتائج
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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>…"
  2. 2

    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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    In superadditive networks, more enhancers decrease noise and fidelity. حسب Alvaro Fletcher (15675430)

    منشور في 2023
    "…Increasing binding site numbers leads to less noise in gene expression.…"
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    The number of expected vaccinations decreases with the expected vaccination time, whereas the peak of infections increases. حسب Simon K. Schnyder (16632244)

    منشور في 2023
    "…Brighter colours indicate higher 〈<i>s</i>(<i>t</i><sub><i>v</i></sub>)〉. Note the nonlinear increase of <i>n</i> on the y-axis. C) Relatedly, we show the peak of infections max<sub><i>t</i></sub>(<i>i</i>(<i>t</i>)) as a heat map as function of the expected vaccination time 〈<i>t</i><sub><i>v</i></sub>〉 for the same range of vaccine arrival distributions <i>p</i><sub><i>n</i></sub> as in B). …"
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    Supplementary Material for: Tea Consumption Is Associated with Decreased Disease Activity of Rheumatoid Arthritis in a Real-World, Large-Scale Study حسب Jin J. (3859486)

    منشور في 2020
    "…<b><i>Objectives:</i></b> The aim of this study was to explore the possible association of tea consumption with RA through a large-scale, real-world study. …"
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