Building Morphological Chains for Agglutinative Languages

In this paper, we build morphological chains for agglutinative languages by using a log-linear model for the morphological segmentation task. The model is based on the unsupervised morphological segmentation system called MorphoChains. We extend MorphoChains log linear model by expanding the candidate space recursively to cover more split points for agglutinative languages such as Turkish, whereas in the original model candidates are generated by considering only binary segmentation of each word. The results show that we improve the state-of-art Turkish scores by 12% having a F-measure of 72% and we improve the English scores by 3% having a F-measure of 74%. Eventually, the system outperforms both MorphoChains and other well-known unsupervised morphological segmentation systems. The results indicate that candidate generation plays an important role in such an unsupervised log-linear model that is learned using contrastive estimation with negative samples.Comment: 10 pages, accepted and presented at the CICLing 2017 (18th International Conference on Intelligent Text Processing and Computational Linguistics

Bulk and contact-sensitized photocarrier generation in single layer TPD devices

In this paper, we report on the photoelectronic properties of TPD studied in sandwich geometry. In particular, we have obtained from both forward and reverse bias measurements the "mew-tau" product for holes in TPD. "mew" is the hole mobility and "tau" the carrier trapping time. The "mew-tau" product is a measure of the electronic quality of the material and allows a quantitative comparison of different samples. We have carried out numerical simulations to understand the photocurrent in these structures. We show that in reverse bias, the photocurrent (PC) is due to bulk. The carrier generation is governed by field assisted exciton dissociation at electric fields greater than 10^6 V/cm. At lower fields the generation of carriers occurs spontaneously in the bulk of the sample. In forward bias, the photocurrent is due to exciton dissociation at the ITO contact. We also obtain a "mew-tau" product for holes from forward bias PC measurements which is in agreement with the value obtained from reverse bias measurements. Based on our experiments, we demonstrate that TPD in a sandwich structure is a good candidate for cheap large area solar blind UV detector arrays.Comment: Submitted to J. Appl. Phy

STR-964: STUDIES ON VIBRATION SERVICEABILITY ASSESSMENT OF ALUMINUM PEDESTRIAN BRIDGES

Vibration serviceability is often the governing design factor for slender, lightweight footbridges. However, there is currently a large gap that exists between our understanding from a modeling perspective and their actual vibration behaviour. Recent experimental tests conducted at the University of Waterloo have underscored these discrepancies and have provided an unique opportunity to not only validate many of the models currently in use, but also to propose new modifications to better align with experimental test results. Specifically, issues such as how to design for lateral vibrations and crowd-induced loading and calibration of load factors, will be addressed in this presentation. Recent results obtained by the pedestrian bridge research group at the University of Waterloo through their extensive crowd-testing program on a full-scale aluminum pedestrian bridge located at the university will aim to address both of these issues. The ultimate objectives of this experimental program are to validate or extrapolate existing analytical frameworks, and to develop new, practical models that can be used in a design guideline to better account for lateral vibrations and crowd-induced loading

Interacting Growth Walk - a model for hyperquenched homopolymer glass?

We show that the compact self avoiding walk configurations, kinetically generated by the recently introduced Interacting Growth Walk (IGW) model, can be considered as members of a canonical ensemble if they are assigned random values of energy. Such a mapping is necessary for studying the thermodynamic behaviour of this system. We have presented the specific heat data for the IGW, obtained from extensive simulations on a square lattice; we observe a broad hump in the specific heat above the $\theta$-point, contrary to expectation.Comment: 4 figures; Submitted to PR

Reversed anisotropies and thermal contraction of FCC (110) surfaces

The observed anisotropies of surface vibrations for unreconstructed FCC metal (110) surfaces are often reversed from the "common sense" expectation. The source of these reversals is investigated by performing ab initio density functional theory calculations to obtain the surface force constant tensors for Ag(110), Cu(110) and Al(110). The most striking result is a large enhancement in the coupling between the first and third layers of the relaxed surface, which strongly reduces the amplitude of out-of-plane vibrations of atoms in the first layer. This also provides a simple explanation for the thermal contraction of interlayer distances. Both the anisotropies and the thermal contraction arise primarily as a result of the bond topology, with all three (110) surfaces showing similar behavior.Comment: 13 pages, in revtex format, plus 1 postscript figur

Chern-Simons Reduction and non-Abelian Fluid Mechanics

We propose a non-Abelian generalization of the Clebsch parameterization for a vector in three dimensions. The construction is based on a group-theoretical reduction of the Chern-Simons form on a symmetric space. The formalism is then used to give a canonical (symplectic) discussion of non-Abelian fluid mechanics, analogous to the way the Abelian Clebsch parameterization allows a canonical description of conventional fluid mechanics.Comment: 12 pages, REVTeX; revised for publication in Phys Rev D; email to [email protected]

The impact of COVID-19 lockdown on postpartum mothers in London, England: An online focus group study

Aims This study examines the impact of COVID-19 lockdown on postpartum mothers in England, with the aim of identifying opportunities to improve maternal experience and wellbeing. The postpartum/postnatal period is widely acknowledged as a time when mothers require greater levels of support from multiple sources. However, stay-at-home orders, commonly known as “lockdown,” deployed in some countries to limit COVID-19 transmission reduced access to support. In England, many postpartum mothers navigated household isolation within an intensive mothering and expert parenting culture. Examining the impact of lockdown may reveal strengths and weaknesses in current policy and practice. Subject and methods We conducted online focus groups involving 20 mothers living in London, England, with “lockdown babies,” following up on our earlier online survey on social support and maternal wellbeing. We thematically analysed focus group transcripts, and identified key themes around Lockdown Experience and Determinants of Lockdown Experience. Results Participants raised some positives of lockdown, including fostering connections and protection from external expectations, but also raised many negatives, including social isolation, institutional abandonment, and intense relationships within the household. Potential reasons behind variations in lockdown experience include physical environments, timing of birth, and number of children. Our findings reflect how current systems may be “trapping” some families into the male-breadwinner/female-caregiver family model, while intensive mothering and expert parenting culture may be increasing maternal stress and undermining responsive mothering. Conclusions Facilitating partners to stay at home during the postpartum period (e.g., increasing paternity leave and flexible working) and establishing peer/community support to decentre reliance on professional parenting experts may promote positive postpartum maternal experience and wellbeing

Applying Model-based Diagnosis to a Rapid Propellant Loading System

The overall objective of the US Air Force Research Laboratory (AFRL) Rapid Propellant Loading (RPL) Program is to develop a launch vehicle, payload and ground support equipment that can support a rapid propellant load and launch within one hour. NASA Kennedy Space Center (KSC) has been funded by AFRL to develop hardware and software to demonstrate this capability. The key features of the software would be the ability to recognize and adapt to failures in the physical hardware components, advise operators of equipment faults and workarounds, and put the system in a safe configuration if unable to fly. In December 2008 NASA KSC and NASA Ames Research Center (ARC) demonstrated model based simulation and diagnosis capabilities for a scaled-down configuration of the RPL hardware. In this paper we present a description of the model-based technologies that were included as part of this demonstration and the results that were achieved. In continuation of this work we are currently testing the technologies on a simulation of the complete RPL system. Later in the year, when the RPL hardware is ready, we will be integrating these technologies with the real-time operation of the system to provide live state estimates. In future years we will be developing the capability to recover from faulty conditions via redundancy and reconfiguration

Techniques for the study of singularities with applications to resolution of 2-dimensional schemes

We give an overview of invariants of algebraic singularities over perfect fields. We then show how they lead to a synthetic proof of embedded resolution of singularities of 2-dimensional schemes.Comment: 26 pages; minor changes have been adde