| Our best estimate of 73.24+/-1.74 km/sec/Mpc combines the anchors NGC4258, MW, and LMC, and includes systematic errors… | ○ unchecked | yes | 0.55 | 0 | 11.7 | These curves represent the true monochromatic wavelength dependence of extinction and, as such, are suitable for deredd… |
| These curves represent the true monochromatic wavelength dependence of extinction and, as such, are suitable for deredd… | ○ unchecked | yes | 0.55 | 0 | 14.5 | — |
| For a flat ΛCDM model, we find Ω M = 0.334 ± 0.018 from SNe Ia alone. | ○ unchecked | yes | 0.55 | 0 | 10.4 | These curves represent the true monochromatic wavelength dependence of extinction and, as such, are suitable for deredd… |
| Furthermore, unlike in the Pantheon analysis, we include light curves for SNe with z < 0.01 such that SN systematic cov… | ○ unchecked | yes | 0.55 | 0 | 11.5 | — |
| Our baseline result from the Cepheid-SN sample is H0=73.04+-1.04 km/s/Mpc, which includes systematics and lies near the… | ○ unchecked | yes | 0.55 | 0 | 8.4 | These curves represent the true monochromatic wavelength dependence of extinction and, as such, are suitable for deredd… |
| For a flat w 0 CDM model, we measure w 0 = −0.90 ± 0.14 from SNe Ia alone, H 0 = 73.5 ± 1.1 km s −1 Mpc −1 when includi… | ○ unchecked | yes | 0.55 | 0 | 10.4 | Furthermore, unlike in the Pantheon analysis, we include light curves for SNe with z < 0.01 such that SN systematic cov…, Our baseline result from the Cepheid-SN sample is H0=73.04+-1.04 km/s/Mpc, which includes systematics and lies near the… |
| This individual-connectome approach revealed several new types of spatial and organizational variability in brain netwo… | ○ unchecked | yes | 0.55 | 0 | 10.4 | These parcels had highly homogenous RSFC patterns, indicating that they contained one unique RSFC signal; furthermore,…, We find that rs-fcMRI patterns show sharp transitions in correlation patterns and that these putative areal boundaries… |
| These parcels had highly homogenous RSFC patterns, indicating that they contained one unique RSFC signal; furthermore,… | ○ unchecked | yes | 0.55 | 0 | 11.5 | — |
| We find that rs-fcMRI patterns show sharp transitions in correlation patterns and that these putative areal boundaries… | ○ unchecked | yes | 0.55 | 0 | 10.3 | — |
| These graphs contain many subgraphs in good agreement with known functional brain systems. | ○ unchecked | yes | 0.55 | 0 | 12.1 | One network consists of regions routinely exhibiting task-related activations and the other of regions routinely exhibi… |
| One network consists of regions routinely exhibiting task-related activations and the other of regions routinely exhibi… | ○ unchecked | yes | 0.55 | 0 | 14.1 | — |
| Residual relationships between motion and the examined R-fMRI metrics remained for all correction approaches, underscor… | ○ unchecked | yes | 0.55 | 0 | 10.5 | Time courses of low frequency (<0.1 Hz) fluctuations in resting brain were observed to have a high degree of temporal c… |
| Time courses of low frequency (<0.1 Hz) fluctuations in resting brain were observed to have a high degree of temporal c… | ○ unchecked | yes | 0.55 | 0 | 14.3 | — |
| Specifically, many long-distance correlations are decreased by subject motion, whereas many short-distance correlations… | ○ unchecked | yes | 0.55 | 0 | 13.0 | Additionally, combining surface-based analysis techniques with image processing algorithms allows automated mapping of… |
| Additionally, combining surface-based analysis techniques with image processing algorithms allows automated mapping of… | ○ unchecked | yes | 0.55 | 0 | 10.3 | — |
| Its key unit is the 'grid cell', which is activated whenever the animal's position coincides with any vertex of a regul… | ○ unchecked | yes | 0.55 | 0 | 13.1 | — |
| We then looked for this signal as participants explored a virtual reality environment, mimicking the rats' foraging tas… | ○ unchecked | yes | 0.55 | 0 | 9.8 | Its key unit is the 'grid cell', which is activated whenever the animal's position coincides with any vertex of a regul… |
| On the basis of age at 90% mortality, rapamycin led to an increase of 14% for females and 9% for males. | ✓ supported | yes | 0.71 | 0 | 12.9 | — |
| Rapamycin increased lifespan more in females than in males at each dose evaluated, perhaps reflecting sexual dimorphism… | ✓ supported | yes | 0.71 | 0 | 9.3 | On the basis of age at 90% mortality, rapamycin led to an increase of 14% for females and 9% for males. |
| A significant number of BIG-bench tasks showed discontinuous improvements from model scale, meaning that performance st… | ○ unchecked | yes | 0.55 | 0 | 12.0 | — |
| Thus, emergent abilities cannot be predicted simply by extrapolating the performance of smaller models. | ○ unchecked | yes | 0.55 | 0 | 10.0 | A significant number of BIG-bench tasks showed discontinuous improvements from model scale, meaning that performance st… |
| We demonstrate continued benefits of scaling by achieving state-of-the-art few-shot learning results on hundreds of lan… | ○ unchecked | yes | 0.55 | 0 | 12.0 | — |
| We show that comprehension, recall of knowledge, and medical reasoning improve with model scale and instruction prompt… | ○ unchecked | yes | 0.55 | 0 | 8.0 | We demonstrate continued benefits of scaling by achieving state-of-the-art few-shot learning results on hundreds of lan… |
| Acarbose increased male median lifespan by 22% (P < 0.0001), but increased female median lifespan by only 5% (P = 0.01). | ✓ supported | yes | 0.71 | 0 | 10.5 | — |
| The α-glucosidase inhibitor, acarbose, at a concentration previously tested (1000 ppm), significantly increased median… | ◆ contested | yes | 0.33 | 0 | 8.6 | Acarbose increased male median lifespan by 22% (P < 0.0001), but increased female median lifespan by only 5% (P = 0.01). |
| Such information originates from (a) spatially modulated neurons in medial entorhinal cortex, including grid cells, whi… | ○ unchecked | yes | 0.55 | 0 | 7.7 | Border cells are relatively sparse, making up less than 10% of the local cell population, but can be found in all layer… |
| Border cells are relatively sparse, making up less than 10% of the local cell population, but can be found in all layer… | ○ unchecked | yes | 0.55 | 0 | 11.3 | — |
| Across thousands of experiments, we demonstrate that complex techniques (Molchanov et al., 2017; Louizos et al., 2017b)… | ○ unchecked | yes | 0.55 | 0 | 8.7 | Above this size, the winning tickets that we find learn faster than the original network and reach higher test accuracy. |
| Above this size, the winning tickets that we find learn faster than the original network and reach higher test accuracy. | ○ unchecked | yes | 0.55 | 0 | 10.3 | — |
| The performance of the model surpasses current state-of-the-art unsupervised structure learning methods by a wide margi… | ○ unchecked | yes | 0.55 | 0 | 8.5 | Two new sequence datasets (CB513 and CB251) are derived which are suitable for cross-validation of secondary structure… |
| Two new sequence datasets (CB513 and CB251) are derived which are suitable for cross-validation of secondary structure… | ○ unchecked | yes | 0.55 | 0 | 10.4 | — |
