OBJECTIVE The aim of this study was to estimate the efficacy of an intensive CDP program, as well as to identify the predictors associated with lymphedema severity and response to CDP in lower limb lymphedema (LLL) after pelvic cancer therapy. METHODS We performed a retrospective review of post-pelvic cancer LLL patients that were treated with a CDP program between January 2004 and March 2011...

This study compares the clearing and metabolism of three different lipid emulsions. They had the same phospholipid emulsifier and similar particle sizes. In one (LLL) the core component was long-chain triglycerides (TG), the second (MMM/LLL) contained equal molar amounts of medium- and long-chain TG, the third (MLM) contained synthetic TG with medium-chain (M) fatty acids in the 1,3-positions a...

The Lattice String Approximation algorithm (or LSA algorithm) of M. L. Lapidus and van Frankenhuijsen is a procedure that approximates the complex dimensions nonlattice self-similar fractal string by lattice string. implication this set has quasiperiodic pattern. Using algorithm, together with multiprecision polynomial solver MPSolve which due to D. A. Bini, G. Fiorentino Robol, we give new sig...

The Lopsided Lovász Local Lemma (LLLL) is a probabilistic tool which is a cornerstone of the probabilistic method of combinatorics, which shows that it is possible to avoid a collection of “bad” events as long as their probabilities and interdependencies are sufficiently small. The strongest possible criterion that can be stated in these terms is due to Shearer (1985), although it is technicall...

This article provides the background and concept of Thailand Lifelong Learning [LLL], even attempting a definition. The Thai LLL vision encompasses strategies for developing human qualities such as integrity, self-reliance, adaptability, resilience, and spirituality, to name a few. In some regards LLL seeks to recapture a more fully-developed perspective, on what in earlier times and places [12...

Lifelong language learning (LLL) aims at new tasks and retaining old in the field of NLP. LAMOL is a recent LLL framework following data-free constraints. Previous works have been researched based on with additional computing more time costs or parameters. However, they still gap between multi-task (MTL), which regarded as upper bound LLL. In this paper, we propose Metacognitive Adaptation (Met...

We present a generalization of the Hidden Number Problem and generalize the Boneh-Venkatesan method [BV96, Shp05] for solving it in polynomial time. We then use this to mount a key recovery attack on LWE which runs in polynomial time using the LLL lattice basis reduction algorithm. Success can be guaranteed with overwhelming probability for narrow error distribution when q ≥ 2, where n is the d...

Cobalt(ll) and gold(lll) react with 2,4-dihydroxy acetophenone oxime (RPO) formi ng yellowish brown and greyish green coloured soluble complexes respectively. The reactions are very slow but become fast in the presence of K2SPxThis may be due to the enhancement of aerial oxidation of metal complexes wi th RPO in their lower oxidation states (Co(! I), Au( III )) to coloured complexes with higher...

In this article, we formalize a torsion Z-module and a torsionfree Z-module. Especially, we prove formally that finitely generated torsion-free Z-modules are finite rank free. We also formalize properties related to rank of finite rank free Z-modules. The notion of Z-module is necessary for solving lattice problems, LLL (Lenstra, Lenstra, and Lovász) base reduction algorithm [20], cryptographic...