Researchers have noted that current water quality protection strategies, like nutrient management plans, lack a sound hydrological underpinning for pollutant transport processes. This is especially true for areas like the northeastern U.S. where copious research has shown that variable source area hydrology largely governs runoff generation. The goal of this study was to develop a scientificall...

Abstract A super-large ensemble simulation dataset with 110 members has been produced by the fully coupled model FGOALS-g3 developed researchers at Institute of Atmospheric Physics, Chinese Academy Sciences. This is first large simulations a climate system modeling center. The largest realizations up to now worldwide in terms single-model initial-condition ensembles. Each member includes histor...

La importancia que ha adquirido el estudio de la sostenibilidad en los últimos años es indiscutible. Sin embargo, a pesar evolución 35 años, todavía no existe un sistema aceptado universalmente permita medir manera fiable contribución las organizaciones misma. En este artículo se propone Contabilidad Social como una vía para relacionar acciones realizadas por entidades con Objetivos Desarrollo ...

Abstract. Surface air temperature (SAT) is a key indicator of global warming and plays an important role in glacier melting. On the Tibetan Plateau (TP), there exists large number glaciers. However, station SAT observations on these glaciers are extremely scarce, moreover available ones characterized by short time series, which substantively hinder our deep understanding dynamics due to climate...

Introduction: Subcutaneous adipose tissue (SAT) and bony thorax will deform conduct driving force during cardiac arrest (CA). The association between short-term prognosis deformation of adult for patients acquired return spontaneous circulation (ROSC) following cardiopulmonary resuscitation (CPR) was unclear. Method: Clinical records CT images were collected from eligible admitted to the hospit...

2 Examples of Disordered Systems 2 2.1 Spin-glasses . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Supercooled Liquids and Glasses . . . . . . . . . . . . . . . . . 5 2.3 Motion of a particle (manifold) in a random potential . . . . . 8 2.4 Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . 8 2.5 Combinatorial Optimisation Problems . . . . . . . . . . . . . 9 2.6 R...