information and knowledge management have become crucial to the development of a competitive edge on the market. this requires the gathering of complete and consistent information in an environment where companies are working increasingly with a vast network of partners. in this paper, we investigate the case of platforms on the tourism market selling trips in boxes thanks to a wide network of ...

macroeconomic policies lead to changes in farming system. these changes are accompanied by some most prominent factors that affect soil erosion. change in relative prices and its impact on soil erosion, via induced changes in crop patterns and agricultural practices, are related to policies implemented. one of the major goals of the present study is to emphasize on the flow of trade policies in...

current standards for indoor comfort are based on studies of adults, but they also apply tochildren, even though children differ in terms of metabolic rates, clothing types, activity levels, and preferences in space arrangement. children are also more sensitive to a range of environmental factors, they are usually unable to interact with their environment, and they accept indoor conditions pass...

The prediction of aerodynamic characteristics and smart flap of airfoil under the ground effect are carried out by the integration of computational fluid dynamics. Considering different types of beams, a parametric bending profile of a smart flap is designed. Cantilever beam with uniformly varying load with roller support at the free end is considered in here. A pressure-based implicit procedur...

Variational Monte Carlo with neural quantum states is one of the most powerful tools for solving ground state many-body Hamiltonians. However, performance method on frustrated Hamiltonians remains significantly worse than that sign-free Hamiltonians, even though itself free from sum-over alternating signs. Here, authors systematically study numerical subtleties in restricted Boltzmann machine b...

The nonlinear Gaussian Mixture Model Dynamically Orthogonal (GMM–DO) smoother for highdimensional stochastic fields is exemplified and contrasted with other smoothers by applications to three dynamical systems, all of which admit far-from-Gaussian distributions. The capabilities of the smoother are first illustrated using a double-well stochastic diffusion experiment. Comparisons with the origi...