Amy Guo,1 Michael Grabner,2 Swetha Rao Palli,2 Jessica Elder,1 Matthew Sidovar,1 Peter Aupperle,1 Stephen Krieger3 1Acorda Therapeutics Inc., Ardsley, New York, NY, USA; 2HealthCore Inc., Wilmington, DE, USA; 3Corinne Goldsmith Dickinson Center for MS, Icahn School of Medicine at Mount Sinai, New York, NY, USA Background: Although previous stu

Terms are linguistic signifiers of domain-specific concepts.Semantic similarity between terms refers to the corresponding distance in the conceptual space.In this paper, we use lexico-syntactic information to define a vector space representation in Bag which cosine similarity closely approximates semantic similarity between the corresponding terms.

Large quantities of wastewater generate from refineries in the process of crude oil usage, distillation, and cooling systems.The wastewater samples need to be treated before disposing into the environment.Disposal of the untreated refinery wastewater causes problems for the water sources and environment.The Apparel - Hats aim of this work was to st

The future forecasting ability of machine learning (ML) makes ML a promising tool for predicting long-time quantum dissipative dynamics of open systems.In this article, we employ nonparametric ML algorithm (kernel ridge regression as a representative of the kernel methods) to study the quantum dissipative dynamics of the widely-used spin-boson (SB)

Marilou DP Tromp,1 Anouk AMT Donners,1 Johan Garssen,1,2 Joris C Verster1,31Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands; 2Nutricia Research, Utrecht, the Netherlands; 3Center for Human Psychopharmacology, Swinburne University, Melbourne, VIC, AustraliaObjective: To investigat