Vegetation is often represented by the leaf area index (LAI) in many ecological, hydrological and meteorological land surface models. However, the spatio-temporal dynamics of the vegetation are important to represent in these models. While the widely applied methods, such as the Canopy Structure Dynamic Model (CSDM) and the Double Logistic Model (DLM) are solely based on cumulative daily mean t...

This study was conducted to compare the effect of source of methionine (Met) in broken ricesoybean diet on performance, blood biochemistry, and fermentation characteristics in weaned pigs. Forty-eight male crossbreed pigs (BW 11 ± 0.1 kg) were randomly allocated to three groups with four replications in a completely randomized design. The experimental diets were: (1) basal diet without methioni...

Considerable progress in local search has recently been made in using clause weighting algorithms to solve satisfiability benchmark problems. While these algorithms have outperformed earlier stochastic techniques on many larger problems, this improvement has generally required extra, problem specific, parameters requiring fine tuning to problem domains for optimal run-time performance. In a pre...

Drosophila bang-sensitive paralytic mutants suffer from hyperactivity and paralysis following a mechanical shock; after recovery from paralysis, they cannot be paralyzed for a refractory period lasting up to 1 hr. Previously, we have shown that in easily shocked (eas), a typical bang-sensitive mutant, electrical shocks delivered to the brain cause seizure-like activity in the dorsal longitudina...

In this paper, we present improved strategies in DLM-99-SAT to escape from traps and to select proper parameter sets to use when applied to solve some dif-cult but satissable SAT problems. One of the main issues in DLM-99-SAT is that it has a large number of tune-able parameters, making it diicult to determine the best parameters to use when given a new instance. To this end, we propose a set o...

A brief review of the ‘disordered local moment’ (DLM) theory of magnetism at finite temperatures is given. This has recently been enhanced so that it includes relativistic (R) effects such as spin-orbit coupling. The relevance of the R-DLM theory for providing an ab-initio account of the temperature dependence of magnetic properties including magnetotransport is stressed. Magnetic anisotropy is...

Missing metastases, also called vanishing or disappearing liver metastases, concern about 5% of patients with colorectal liver metastasis undergoing chemotherapy, and this phenomenon is likely to become more frequent in the near future, with the widespread use of highly efficient chemotherapy. As their definition is highly dependent on the quality of initial imaging, a DLM on preoperative compu...

This paper presents a dependency language model (DLM) that captures linguistic constraints via a dependency structure, i.e., a set of probabilistic dependencies that express the relations between headwords of each phrase in a sentence by an acyclic, planar, undirected graph. Our contributions are three-fold. First, we incorporate the dependency structure into an n-gram language model to capture...

This paper investigates various approaches to data sampling and dimensionality reduction for discriminative language models (DLM). Being a feature based language modeling approach, the aim of DLM is to rerank the ASR output with discriminatively trained feature parameters. Using a Turkish morphology based feature set, we examine the use of online Principal Component Analysis (PCA) as a dimensio...

The Almon technique is widely used to estimate the parameters of distributed lag model (DLM). suffers a setback from challenge multicollinearity because explanatory variables and their lagged values are often correlated. Almon-Ridge estimator (A-RE) Almon-Liu (A-LE) were introduced as alternative estimators for efficient modelling. We developed new method estimating coefficients DLM using Almon...