61,474 research outputs found
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Minimally supervised induction of morphology through bitexts
textA knowledge of morphology can be useful for many natural language processing systems. Thus, much effort has been expended in developing accurate computational tools for morphology that lemmatize, segment and generate new forms. The most powerful and accurate of these have been manually encoded, such endeavors being without exception expensive and time-consuming. There have been consequently many attempts to reduce this cost in the development of morphological systems through the development of unsupervised or minimally supervised algorithms and learning methods for acquisition of morphology. These efforts have yet to produce a tool that approaches the performance of manually encoded systems.
Here, I present a strategy for dealing with morphological clustering and segmentation in a minimally supervised manner but one that will be more linguistically informed than previous unsupervised approaches. That is, this study will attempt to induce clusters of words from an unannotated text that are inflectional variants of each other. Then a set of inflectional suffixes by part-of-speech will be induced from these clusters. This level of detail is made possible by a method known as alignment and transfer (AT), among other names, an approach that uses aligned bitexts to transfer linguistic resources developed for one language–the source language–to another language–the target. This approach has a further advantage in that it allows a reduction in the amount of training data without a significant degradation in performance making it useful in applications targeted at data collected from endangered languages. In the current study, however, I use English as the source and German as the target for ease of evaluation and for certain typlogical properties of German. The two main tasks, that of clustering and segmentation, are approached as sequential tasks with the clustering informing the segmentation to allow for greater accuracy in morphological analysis.
While the performance of these methods does not exceed the current roster of unsupervised or minimally supervised approaches to morphology acquisition, it attempts to integrate more learning methods than previous studies. Furthermore, it attempts to learn inflectional morphology as opposed to derivational morphology, which is a crucial distinction in linguistics.Linguistic
Synaptic nanomodules underlie the organization and plasticity of spine synapses.
Experience results in long-lasting changes in dendritic spine size, yet how the molecular architecture of the synapse responds to plasticity remains poorly understood. Here a combined approach of multicolor stimulated emission depletion microscopy (STED) and confocal imaging in rat and mouse demonstrates that structural plasticity is linked to the addition of unitary synaptic nanomodules to spines. Spine synapses in vivo and in vitro contain discrete and aligned subdiffraction modules of pre- and postsynaptic proteins whose number scales linearly with spine size. Live-cell time-lapse super-resolution imaging reveals that NMDA receptor-dependent increases in spine size are accompanied both by enhanced mobility of pre- and postsynaptic modules that remain aligned with each other and by a coordinated increase in the number of nanomodules. These findings suggest a simplified model for experience-dependent structural plasticity relying on an unexpectedly modular nanomolecular architecture of synaptic proteins
Unsupervised Neural Hidden Markov Models
In this work, we present the first results for neuralizing an Unsupervised
Hidden Markov Model. We evaluate our approach on tag in- duction. Our approach
outperforms existing generative models and is competitive with the
state-of-the-art though with a simpler model easily extended to include
additional context.Comment: accepted at EMNLP 2016, Workshop on Structured Prediction for NLP.
Oral presentatio
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The study of the influence of morphology anisotropy of clusters of superparamagnetic nanoparticle on magnetic hysteresis by Monte Carlo simulations
This paper was presented at the 4th Micro and Nano Flows Conference (MNF2014), which was held at University College, London, UK. The conference was organised by Brunel University and supported by the Italian Union of Thermofluiddynamics, IPEM, the Process Intensification Network, the Institution of Mechanical Engineers, the Heat Transfer Society, HEXAG - the Heat Exchange Action Group, and the Energy Institute, ASME Press, LCN London Centre for Nanotechnology, UCL University College London, UCL Engineering, the International NanoScience Community, www.nanopaprika.eu.Nowadays, extensive attentions have been focussed on the study of induction heating implanted magnetic nanoparticle under AC magnetic field for cancer hyperthermia treatment. Colloidal cluster composed of superparamagnetic nanoparticle has shown great potential for efficient hyperthermia heating. However, the relationship between cluster properties and heating efficiency is not clear. In this work, we investigate the influence of morphology anisotropy of cluster of superparamagnetic nanoparticle on magnetic hysteresis by Monte Carlo simulation. Five kinds of clusters with different shapes and structure are studied. We find that the morphology anisotropy of cluster changes the magnetic loss by affecting the tendency of cluster to remain magnetically aligned with the field orientation. A large aspect ratio of the length of cluster along the field orientation to the width perpendicular to the orientation can increase the amount of energy converted per cycle significantly. Lacking morphology anisotropy will make the magnetic hysteresis of cluster numb to the manipulation of cluster properties
Beneficial Bacteria Isolated from Grapevine Inner Tissues Shape Arabidopsis thaliana Roots
We investigated the potential plant growth-promoting traits of 377 culturable endophytic bacteria, isolated from Vitis vinifera cv. Glera, as good biofertilizer candidates in vineyard management. Endophyte ability in promoting plant growth was assessed in vitro by testing ammonia production, phosphate solubilization, indole-3-acetic acid (IAA) and IAA-like molecule biosynthesis, siderophore and lytic enzyme secretion. Many of the isolates were able to mobilize phosphate (33%), release ammonium (39%), secrete siderophores (38%) and a limited part of them synthetized IAA and IAA-like molecules (5%). Effects of each of the 377 grapevine beneficial bacteria on Arabidopsis thaliana root development were also analyzed to discern plant growth-promoting abilities (PGP) of the different strains, that often exhibit more than one PGP trait. A supervised model-based clustering analysis highlighted six different classes of PGP effects on root architecture. A. thaliana DR5::GUS plantlets, inoculated with IAA-producing endophytes, resulted in altered root growth and enhanced auxin response. Overall, the results indicate that the Glera PGP endospheric culturable microbiome could contribute, by structural root changes, to obtain water and nutrients increasing plant adaptation and survival. From the complete cultivable collection, twelve promising endophytes mainly belonging to the Bacillus but also to Micrococcus and Pantoea genera, were selected for further investigations in the grapevine host plants towards future application in sustainable management of vineyards
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Generation of Transplantable Retinal Photoreceptors from a Current Good Manufacturing Practice-Manufactured Human Induced Pluripotent Stem Cell Line.
Retinal degeneration often results in the loss of light-sensing photoreceptors, which leads to permanent vision loss. Generating transplantable retinal photoreceptors using human somatic cell-derived induced pluripotent stem cells (iPSCs) holds promise to treat a variety of retinal degenerative diseases by replacing the damaged or dysfunctional native photoreceptors with healthy and functional ones. Establishment of effective methods to produce retinal cells including photoreceptors in chemically defined conditions using current Good Manufacturing Practice (cGMP)-manufactured human iPSC lines is critical for advancing cell replacement therapy to the clinic. In this study, we used a human iPSC line (NCL-1) derived under cGMP-compliant conditions from CD34+ cord blood cells. The cells were differentiated into retinal cells using a small molecule-based retinal induction protocol. We show that retinal cells including photoreceptors, retinal pigmented epithelial cells and optic cup-like retinal organoids can be generated from the NCL-1 iPSC line. Additionally, we show that following subretinal transplantation into immunodeficient host mouse eyes, retinal cells successfully integrated into the photoreceptor layer and developed into mature photoreceptors. This study provides strong evidence that transplantable photoreceptors can be generated from a cGMP-manufactured human iPSC line for clinical applications. Stem Cells Translational Medicine 2018;7:210-219
Crystallization and gelation in colloidal systems with short-ranged attractive interactions
We systematically study the relationship between equilibrium and
non-equilibrium phase diagrams of a system of short-ranged attractive colloids.
Using Monte Carlo and Brownian dynamics simulations we find a window of
enhanced crystallization that is limited at high interaction strength by a
slowing down of the dynamics and at low interaction strength by the high
nucleation barrier. We find that the crystallization is enhanced by the
metastable gas-liquid binodal by means of a two-stage crystallization process.
First, the formation of a dense liquid is observed and second the crystal
nucleates within the dense fluid. In addition, we find at low colloid packing
fractions a fluid of clusters, and at higher colloid packing fractions a
percolating network due to an arrested gas-liquid phase separation that we
identify with gelation. We find that this arrest is due to crystallization at
low interaction energy and it is caused by a slowing down of the dynamics at
high interaction strength. Likewise, we observe that the clusters which are
formed at low colloid packing fractions are crystalline at low interaction
energy, but glassy at high interaction energy. The clusters coalesce upon
encounter.Comment: 8 pages, 8 figure
Modeling Maintenance of Long-Term Potentiation in Clustered Synapses, Long-Term Memory Without Bistability
Memories are stored, at least partly, as patterns of strong synapses. Given
molecular turnover, how can synapses maintain strong for the years that
memories can persist? Some models postulate that biochemical bistability
maintains strong synapses. However, bistability should give a bimodal
distribution of synaptic strength or weight, whereas current data show unimodal
distributions for weights and for a correlated variable, dendritic spine
volume. Bistability of single synapses has also never been empirically
demonstrated. Thus it is important for models to simulate both unimodal
distributions and long-term memory persistence. Here a model is developed that
connects ongoing, competing processes of synaptic growth and weakening to
stochastic processes of receptor insertion and removal in dendritic spines. The
model simulates long-term (in excess of 1 yr) persistence of groups of strong
synapses. A unimodal weight distribution results. For stability of this
distribution it proved essential to incorporate resource competition between
synapses organized into small clusters. With competition, these clusters are
stable for years. These simulations concur with recent data to support the
clustered plasticity hypothesis, which suggests clusters, rather than single
synaptic contacts, may be a fundamental unit for storage of long-term memory.
The model makes empirical predictions, and may provide a framework to
investigate mechanisms maintaining the balance between synaptic plasticity and
stability of memory.Comment: 17 pages, 5 figure
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