بدائل البحث:
large increases » marked increases (توسيع البحث), age increased (توسيع البحث)
values decrease » values increased (توسيع البحث), largest decrease (توسيع البحث)
from decrease » from deceased (توسيع البحث), from increased (توسيع البحث), fold decrease (توسيع البحث)
large increases » marked increases (توسيع البحث), age increased (توسيع البحث)
values decrease » values increased (توسيع البحث), largest decrease (توسيع البحث)
from decrease » from deceased (توسيع البحث), from increased (توسيع البحث), fold decrease (توسيع البحث)
-
1
-
2
Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas
منشور في 2025"…<p dir="ltr">This dataset results from a stingless bee colony loss survey from 2016 to 2021 in Latin America. …"
-
3
-
4
-
5
The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness.
منشور في 2025"…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. (B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …"
-
6
-
7
-
8
Supplementary file 1_Early learning curve changes in objective performance indicators during robotic cholecystectomy.docx
منشور في 2025"…As the first study to evaluate objective metrics throughout a learning curve for newly performing robotic cholecystectomy, we identify relevant OPIs that may be critical for future proficiency tracking, 8 of which impact a surgical step with a steep learning curve in transitioning from laparoscopic to robotic cholecystectomy, cystic duct ligation/division.…"
-
9
-
10
-
11
-
12
-
13
The MAE value of the model under raw data.
منشور في 2025"…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …"
-
14
Three error values under raw data.
منشور في 2025"…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …"
-
15
-
16
-
17
-
18
-
19
-
20