Typical model railroad scales are (largest to smallest): 1:12 Large Scale 1:13.7 7/8 inch scale 1:20.3 G, Three-Foot Gauge on Gauge 1 Track 1:22.5 LGB and Bachman 1:24 Half scale 1:29 Aristo-Craft, USA Trains, standard gauge on #1 gauge 1:32 I scale 1:48 O scale 1:64 S s...
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The worldwide variation in vegetation height is fundamental to the global carbon cycle and central to the functioning of ecosystems and their biodiversity. Geospatially explicit and, ideally, highly resolved information is required to manage terrestrial
Vulnerability is complex because it involves many characteristics of people and groups that expose them to harm and limit their ability to anticipate, cope with, and recover from harm. The subject is also complex because workers in many disciplines such as public health, psychology, geog...
Fig. 3. The perplexity of model train on single-source data and evaluate on other data. The higher perplexity indicates the model trained on source data cannot perform well on the evaluation data. In contrast to Chen et al. (2024), this research does not concentrate on data curricula but ...
Extracting useful features at multiple scales is a crucial task in computer vision. The emergence of deep-learning techniques and the advancements in convolutional neural networks (CNNs) have facilitated effective multiscale feature extraction that results in stable performance improvements in numerous real...
The model presented is not expected to reproduce the internal variability, which is treated as an independant stochastic process, and the high-frequency cutoff \tau was introduced as the smallest scale over which the linear response approximation is expected to hold. As mentioned above, this should...
When reducing the loading speed (by 160 times) between stage I and stage II, the 400 °C test shows the largest drop in force (-9.7%), while the smallest drop is obtained for the 100 °C test (-4.2%). When the loading speed jumps up (by 1600 times) between stage II and stage ...
The ultrafast and accurate polyBERT-based polymer informatics pipeline allows us to predict all 29 properties of the 100 million hypothetical polymers that were originally created to train polyBERT. Figure5c shows the minimum, mean, and maximum for each property. Histograms are given in Supplementary...
Supplementary Fig.3and Table5). Potential CUE values range from 0.07 to 0.74 with a median of 0.49, suggesting that on average approximately half of the consumed C is typically lost via respiration (Fig.4b). Bacterial traits related to the assimilation of C had the largest influence on model...