the flowering phase of apple trees is the most critical step in relation with low temperatures and frost events. therefore, forecasting the time of flowering is important. if a model can predict the exact time of flowering, it would be feasible to care for flowers agianst late spring freezing (lsf). in this study, we evaluated three temperature-base chilling models namely: chilling hours (ch), ...

Estimating the probability of rare failure events is an essential step in reliability assessment engineering systems. Computing this for complex non-linear systems challenging, and has recently spurred development active-learning methods. These methods approximate limit-state function (LSF) using surrogate models trained with a sequentially enriched set model evaluations. A proposed method call...

In active learning reliability methods, an approximation of limit state function (LSF) with high precision is the key to accurately calculating failure probability (Pf). However, existing sampling methods cannot guarantee that candidate samples can approach LSF actively, which lowers accuracy and stability results causes excess computational effort. this paper, a novel samples-generating algori...

Directed acyclic graph (DAG)-aware task scheduling algorithms have been studied extensively in recent years, and these achieved significant performance improvements data-parallel analytic platforms. However, current DAG-aware algorithms, among which HEFT GRAPHENE are notable, pay little attention to the cache management policy, plays a vital role in-memory systems such as Spark. Cache policies ...

Capture marine fisheries play a significant role in social, cultural, and economic dimensions of Indian capture that contributes to the blue growth strategies. Here small-scale (SSF) constitute about 60 % remaining 40 large-scale fishing fleets (LSF). In this study, we have highlighted techno-economic key indicators technical efficiency SSF LSF Gulf Mannar Biosphere Reserve, India using Cobb-Do...

In this paper we study the relationship between leverage and risk in commercial banking market. We employ a panel data set that consists of the biggest US commercial banks and which extends from 2002 to 2010 thus covering both the years before the outbreak of the current financial crisis as well as those followed. We make clear distinctions among different leverage types like onand off-balance ...

It is demonstrated that thermally induced longitudinal spin fluctuations (LSF) play an important role in itinerant Co3Mn2Ge at elevated temperature. The effect of LSF taken into account during ab initio calculations via a simple model for the corresponding entropy contribution. We show magnetic leads to appearance medium size local moment on Co atoms. As consequence, this renormalization exchan...