Despite fruitful studies on knowledge flow and interdisciplinarity, there are few investigations on knowledge flow in humanities and social sciences (HSS) and how knowledge from science and technology diffuses to HSS sub-disciplines. Based on Chinese and English articles in HSS, this study explored knowledge flow in China’s HSS with an analysis of Chinese and English publications from 1998 to 2...

We study the geodesic flow on the global holomorphic sections of the bundle π : TS → S induced by the neutral Kähler metric on the space of oriented lines of R, which we identify with TS. This flow is shown to be completely integrable when the sections are symplectic and the behaviour of the geodesics is described.

Writing in English might be one of the most difficult tasks for EFL (English as a Foreign Language) learners. This paper presents FLOW, a writing assistance system. It is built based on first-language-oriented input function and context sensitive approach, aiming at providing immediate and appropriate suggestions including translations, paraphrases, and n-grams during composing and revising pro...

We present a typed intermediate language λ for optimizing compilers for function-oriented and polymorphically typed programming languages (e.g., ML). The language λ is a typed lambda calculus with product, sum, intersection, and union types as well as function types annotated with flow labels. A novel formulation of intersection and union types supports encoding flow information in the typed pr...

Abstract Deep learning has been widely utilized to accurately estimate the flow state from sparse sensor measurements. Yet there is still a lack of understanding actual dimension this type regression problem. In study, we propose an Autoencoder (AE) based estimation method tackle control-oriented, sensor-based This encodes input information into few-nodes bottleneck, then decodes compressed est...

In this work, we apply goal oriented error estimation to a stationary Navier-Stokes benchmark problem coupled with the heat equation. Furthermore, compare three different methods for sensitivity weight recovery.