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The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)
These updated definitions and clinical criteria should replace previous definitions, offer greater consistency for epidemiologic studies and clinical trials, and facilitate earl...
Squeeze-and-Excitation Networks
Convolutional neural networks are built upon the convolution operation, which extracts informative features by fusing spatial and channel-wise information together within local ...
SPAdes: A New Genome Assembly Algorithm and Its Applications to Single-Cell Sequencing
The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell gen...
Manual for the State-Trait Anxiety Inventory
The STAI serves as an indicator of two types of anxiety, the state and trait anxiety, and measure the severity of the overall anxiety level.The STAI, which is appropriate for th...
Institutions, Institutional Change and Economic Performance
Examines the role that institutions, defined as the humanly devised constraints that shape human interaction, play in economic performance and how those institutions change and ...
fastp: an ultra-fast all-in-one FASTQ preprocessor
Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for e...
Random sample consensus
A new paradigm, Random Sample Consensus (RANSAC), for fitting a model to experimental data is introduced. RANSAC is capable of interpreting/smoothing data containing a significa...
Social Capital in the Creation of Human Capital
There are two broad intellectual streams in the description and explanation of social action. One, characteristic of the work of most sociologists, sees the actor as socialized ...
Accurate and simple analytic representation of the electron-gas correlation energy
We propose a simple analytic representation of the correlation energy ${\mathrm{\ensuremath{\varepsilon}}}_{\mathit{c}}$ for a uniform electron gas, as a function of density par...
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change. T...
GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers
GROMACS is one of the most widely used open-source and free software codes in chemistry, used primarily for dynamical simulations of biomolecules. It provides a rich set of calc...