Showing 1 - 20 results of 124,985 for search '(((( c largest decrease ) OR ( ((via large) OR (a large)) decrease ))) OR ( 1 levels increased ))*', query time: 2.55s Refine Results
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    Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics by Xian Ding (421647)

    Published 2022
    “…More importantly, Norm ISWSVR also allows a low frequency of QCs, which could significantly decrease the burden of a large-scale experiment. …”
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    Large and Tunable Wavelength Blue Shifts in Luminescent Piezochromism of Cu(I) Complexes via a Guest Encapsulation Strategy by Wan-Tao Chen (330486)

    Published 2024
    “…Materials that display blue-shifted and enhanced luminescence in response to mechanical stimuli are limited, and the related mechanism is difficult to investigate due to the unclear structural information. In this work, a series of Cu­(I) complexes that display blue-shifted and enhanced luminescence under pressure are designed via a guest encapsulation strategy. …”
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    Large and Tunable Wavelength Blue Shifts in Luminescent Piezochromism of Cu(I) Complexes via a Guest Encapsulation Strategy by Wan-Tao Chen (330486)

    Published 2024
    “…Materials that display blue-shifted and enhanced luminescence in response to mechanical stimuli are limited, and the related mechanism is difficult to investigate due to the unclear structural information. In this work, a series of Cu­(I) complexes that display blue-shifted and enhanced luminescence under pressure are designed via a guest encapsulation strategy. …”
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    Large and Tunable Wavelength Blue Shifts in Luminescent Piezochromism of Cu(I) Complexes via a Guest Encapsulation Strategy by Wan-Tao Chen (330486)

    Published 2024
    “…Materials that display blue-shifted and enhanced luminescence in response to mechanical stimuli are limited, and the related mechanism is difficult to investigate due to the unclear structural information. In this work, a series of Cu­(I) complexes that display blue-shifted and enhanced luminescence under pressure are designed via a guest encapsulation strategy. …”
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    Large and Tunable Wavelength Blue Shifts in Luminescent Piezochromism of Cu(I) Complexes via a Guest Encapsulation Strategy by Wan-Tao Chen (330486)

    Published 2024
    “…Materials that display blue-shifted and enhanced luminescence in response to mechanical stimuli are limited, and the related mechanism is difficult to investigate due to the unclear structural information. In this work, a series of Cu­(I) complexes that display blue-shifted and enhanced luminescence under pressure are designed via a guest encapsulation strategy. …”
  14. 14

    Large and Tunable Wavelength Blue Shifts in Luminescent Piezochromism of Cu(I) Complexes via a Guest Encapsulation Strategy by Wan-Tao Chen (330486)

    Published 2024
    “…Materials that display blue-shifted and enhanced luminescence in response to mechanical stimuli are limited, and the related mechanism is difficult to investigate due to the unclear structural information. In this work, a series of Cu­(I) complexes that display blue-shifted and enhanced luminescence under pressure are designed via a guest encapsulation strategy. …”
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    Large and Tunable Wavelength Blue Shifts in Luminescent Piezochromism of Cu(I) Complexes via a Guest Encapsulation Strategy by Wan-Tao Chen (330486)

    Published 2024
    “…Materials that display blue-shifted and enhanced luminescence in response to mechanical stimuli are limited, and the related mechanism is difficult to investigate due to the unclear structural information. In this work, a series of Cu­(I) complexes that display blue-shifted and enhanced luminescence under pressure are designed via a guest encapsulation strategy. …”
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    Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

    Published 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>…”