Neural sentence encoders (NSE) are effective in many NLP tasks, including topic segmentation.However, no systematic comparison of their performance in topic segmentation has been performed.Here, we present such a comparison, using supervised and unsupervised segmentation models based on NSEs.We first compare results with baselines, showing that the
Anti-fibrotic activity of a rho-kinase inhibitor restores outflow function and intraocular pressure homeostasis
Glucocorticoids are widely used as an ophthalmic medication.A common, sight-threatening adverse event of glucocorticoid usage is ocular hypertension, caused by dysfunction of the conventional outflow pathway.We report that netarsudil, a rho-kinase inhibitor, decreased glucocorticoid-induced ocular Cholesterol Synthesis hypertension in patients whos
Short-Term Hydrological Drought Forecasting Based on Different Nature-Inspired Optimization Algorithms Hybridized With Artificial Neural Networks
Hydrological drought forecasting plays a substantial role in water resources management.Hydrological drought highly affects the water allocation and hydropower generation.In this research, short term hydrological drought forecasted based Cholesterol Synthesis on the hybridized of novel nature-inspired optimization algorithms and Artificial Neural N
Microbiological Safety of Chicken Litter or Chicken Litter-Based Organic Fertilizers: A Review
Chicken litter or chicken litter-based organic fertilizers are usually recycled into the soil to improve the structure and fertility of agricultural land.As an important source of nutrients for crop production, chicken litter may also contain a variety of human pathogens that can threaten humans who consume the contaminated food or water.Composting