Alien Registration- Lacasse, Marie A. (Jackman, Somerset County)

https://digitalmaine.com/alien_docs/7030/thumbnail.jp

Alien Registration- Lacasse, Joseph A. Damien (Jackman, Somerset County)

https://digitalmaine.com/alien_docs/7005/thumbnail.jp

Shuffle operations on discrete paths

AbstractWe consider the shuffle operation on paths and study some parameters. In the case of square lattices, shuffling with a particular periodic word (of period 2) corresponding to paperfoldings reveals some characteristic properties: closed paths remain closed; the area and perimeter double; the center of gravity moves under a 45∘ rotation and a 2 zoom factor. We also observe invariance properties for the associated Dragon curves. Moreover, replacing square lattice paths by paths involving 2kπ/N-turns, we find analogous results using more general shuffles

Emotion Classification of Indonesian Tweets using Bidirectional LSTM

Emotion classification can be a powerful tool to derive narratives from social media data. Traditional machine learning models that perform emotion classification on Indonesian Twitter data exist but rely on closed-source features. Recurrent neural networks can meet or exceed the performance of state-of-the-art traditional machine learning techniques using exclusively open-source data and models. Specifically, these results show that recurrent neural network variants can produce more than an 8% gain in accuracy in comparison with logistic regression and SVM techniques and a 15% gain over random forest when using FastText embeddings. This research found a statistical significance in the performance of a single-layer bidirectional long short-term memory model over a two-layer stacked bidirectional long short-term memory model. This research also found that a single-layer bidirectional long short-term memory recurrent neural network met the performance of a state-of-the-art logistic regression model with supplemental closed-source features from a study by Saputri et al. [8] when classifying the emotion of Indonesian tweets

An analysis of historical wind-driven rain loads for selected Canadian cities

Abstract The performance and durability of wall assemblies are greatly affected by the moisture load to which they may be subjected, in particular those arising from Wind-Driven Rain (WDR). Standard approaches for estimating such moisture loads assume 1% of the WDR load, whereas these loads have also been assessed from watertightness tests, although these assumed loads have been determined based on limited climate information. To more accurately estimate the moisture loads to which wall assemblies may be subjected over their service life, an analysis of historical WDR loads was completed for 11 cities across Canada. The magnitude, probability of occurrence of WDR loads in different cities and correlations between WDR related climate parameters, are discussed in this paper. Also, a novel WDR severity index is introduced, referred to as the Wind-Driven Rain Pressure Index, to permit quantifying the real-time and simultaneously occurring effects of WDR intensity and Driving Rain Wind Pressure (DRWP). To estimate the WDR intensity and DRWP with a specific probability of occurrence, an Extreme Value Analysis (EVA) was completed for a climate dataset of 31 years (1986–2016) using the Generalized Extreme Value and Gumbel distributions

Functional properties of polyurethane based sealants blended with polymeric modifiers

Novel polyurethane based two-component self-leveling sealant formulations, incorporating various types of kraft processed lignins including softwood, hardwood, and eucalyptus wood lignin, were produced and their performance properties established in a research program which sought to develop more durable cost effective sealants as well as cultivate a market for lignin, a highly underutilized by-product of the pulp and paper industry. The tensile and compressive performance characteristics of lignin and kaolin filled sealant formulations, compounded at different volumetric filler loadings, were compared and the results indicated that both types of filler increase the modulus of the base elastomer in relation to the semi-empirical relation of Nielsen. This suggests that the mechanical properties are dependent on the maximum packing fraction of the respective fillers which in turn, is a function of their particle size and size distribution. The relationship between the modulus and the volumetric filler loading was useful in the preparation of sealant formulations having optimum filler contents. Finally, these optimum formulations were prepared for a subsequent testing program in which the tensile strength and cyclic performance of the sealants was compared to that of existing two-component self-leveling sealant compounds currently available on the market. Results of these performance tests indicate that lignin filled elastomeric sealants, in most instances, have adequate tensile strength and perform adequately if subjected to a moderate cyclic strain program. Further improvements in performance properties may be obtained if adjustments to the particle size are made and this is warranted considering six to ten times cost advantage these fillers possess in relation to conventional fillers

Comment on ``Deterministic equations of motion and phase ordering dynamics''

Zheng [Phys. Rev. E {\bf 61}, 153 (2000), cond-mat/9909324] claims that phase ordering dynamics in the microcanonical $\phi^4$ model displays unusual scaling laws. We show here, performing more careful numerical investigations, that Zheng only observed transient dynamics mostly due to the corrections to scaling introduced by lattice effects, and that Ising-like (model A) phase ordering actually takes place at late times. Moreover, we argue that energy conservation manifests itself in different corrections to scaling.Comment: 5 pages, 4 figure