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Very deep convolutional networks have been central to the largest advances in image recognition performance in recent years. One example is the Inception architecture that has been shown to achieve very good performance ...

This Campbell systematic review examines the effectiveness of e‐learning in improving evidence‐based health care (EBHC) knowledge and practice. Compared to no learning, pure e‐learning improves EBHC knowledge and s...

Four groups of centrifugal model tests are performed to investigate the failure mechanisms of embankment on inclined soft foundation reinforced by CFG piles. The tests simulate four kinds of grounds: natural inclined sof...

Premise of the study: We developed microsatellite markers to study clonal growth and interspecific hybridization in the Patagonian and subantarctic plant Hypochaeris incana (Asteraceae) and its closest relatives. Methods...

Let G be a simple graph. When we order the different closed neighborhoods of G by inclusion, the resulting poset is called the neighborhood inclusion poset. In this paper, we show that the problem of determining whether ...

BACKGROUND: As mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Di...

Abstract This study was conducted to establish the shelf life of 1++ grade Hanwoo beef by evaluating the changes in meat quality and storage stability under distribution conditions similar to those during export to Hong ...

In order to study the earthquake seismic behaviors of ecological bags-reinforced wall, the large-scale shaking table model tests are performed. It is shown that the frequency decreases and the damping ratio increases wit...

Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States in the current year and compiles the most recent data on cancer incidence, mortality, and s...

We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between regular convolution and the depthwise separable convolution operation (a depthwise convolution f...