بدائل البحث:
largest decrease » largest decreases (توسيع البحث), larger decrease (توسيع البحث), marked decrease (توسيع البحث)
c largest » _ largest (توسيع البحث)
1 levels » _ levels (توسيع البحث)
c larger » _ larger (توسيع البحث), _ large (توسيع البحث), a large (توسيع البحث)
c large » _ large (توسيع البحث), a large (توسيع البحث), i large (توسيع البحث)
largest decrease » largest decreases (توسيع البحث), larger decrease (توسيع البحث), marked decrease (توسيع البحث)
c largest » _ largest (توسيع البحث)
1 levels » _ levels (توسيع البحث)
c larger » _ larger (توسيع البحث), _ large (توسيع البحث), a large (توسيع البحث)
c large » _ large (توسيع البحث), a large (توسيع البحث), i large (توسيع البحث)
-
1
Pairwise correlations in APP/PS1 mice are decreased in dCA1, but increased in vCA1.
منشور في 2024الموضوعات: -
2
-
3
-
4
Long COVID prevalence decreases with vaccine uptake in the U.S.
منشور في 2023"…<p>(A) Prevalence in U.S. states and the U.S. exhibits a decreasing trend with respect to vaccine uptake, both in the population vaccinated with at least one dose (top) and two doses (bottom), with the largest gap between 100% vaccinated and 100% unvaccinated scenarios observed in the reference population of adults who had COVID-19. …"
-
5
-
6
Population entropy in APP/PS1 mice is decreased in dCA1, but increased in vCA1.
منشور في 2024الموضوعات: -
7
-
8
Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice.
منشور في 2024الموضوعات: -
9
Spatial information of excitatory neurons in APP/PS1 mice are decreased in dCA1 and vCA1.
منشور في 2024الموضوعات: -
10
-
11
-
12
-
13
-
14
-
15
-
16
Increasing the number of commonly represented features decreases the assignment error rate, but increases the level of redundancy between the representations.
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. …"
-
17
-
18
-
19
-
20
Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas
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>…"