3,128 research outputs found
Thickness of the buccal bone wall and root angulation in the maxilla and mandible: an approach to cone beam computed tomography
Background: The objective of this paper is to anatomically describe the bone morphology in the maxillary and mandibular tooth areas, which might help in planning post-extraction implants. Methods: CBCT images (Planmeca ProMax 3D) of 403 teeth (208 upper teeth and 195 lower teeth) were obtained from 49 patients referred to the Dental School of Seville from January to December 2014. The thickness of the facial wall was measured at the crest, point A, 4mm below, point B, and at the apex, point C. The second parameter was the angle formed between the dental axis and the axis of the basal bone. Results: A total of 403 teeth were measured. In the maxilla, 89.4% of incisors, 93.94% of canines, 78% of premolars and 70.5% of molars had a buccal bone wall thickness less than the ideal 2mm. In the mandible, 73.5% of incisors, 49% of canines, 64% of premolars and 53% of molars had <1mm buccal bone thickness as measured at point B. The mean angulation in the maxilla was 11.67¹6.37° for incisors, 16.88¹7.93° for canines, 13.93¹8.6° for premolars, and 9.89¹4.8° for molars. In the mandible, the mean values were 10.63¹8.76° for incisors, 10.98¹7.36° for canines, 10.54¹5.82° for premolars and 16.19¹11.22° for molars. Conclusions: The high incidence of a buccal wall thickness of less than 2mm in over 80% of the assessed sites indicates the need for additional regeneration procedures, and several locations may also require custom abutments to solve the angulation problems for screw-retained crowns
Distributed learning of CNNs on heterogeneous CPU/GPU architectures
Convolutional Neural Networks (CNNs) have shown to be powerful classification
tools in tasks that range from check reading to medical diagnosis, reaching
close to human perception, and in some cases surpassing it. However, the
problems to solve are becoming larger and more complex, which translates to
larger CNNs, leading to longer training times that not even the adoption of
Graphics Processing Units (GPUs) could keep up to. This problem is partially
solved by using more processing units and distributed training methods that are
offered by several frameworks dedicated to neural network training. However,
these techniques do not take full advantage of the possible parallelization
offered by CNNs and the cooperative use of heterogeneous devices with different
processing capabilities, clock speeds, memory size, among others. This paper
presents a new method for the parallel training of CNNs that can be considered
as a particular instantiation of model parallelism, where only the
convolutional layer is distributed. In fact, the convolutions processed during
training (forward and backward propagation included) represent from -\%
of global processing time. The paper analyzes the influence of network size,
bandwidth, batch size, number of devices, including their processing
capabilities, and other parameters. Results show that this technique is capable
of diminishing the training time without affecting the classification
performance for both CPUs and GPUs. For the CIFAR-10 dataset, using a CNN with
two convolutional layers, and and kernels, respectively, best
speedups achieve using four CPUs and with three GPUs.
Modern imaging datasets, larger and more complex than CIFAR-10 will certainly
require more than -\% of processing time calculating convolutions, and
speedups will tend to increase accordingly
The Demographic Transition and the Sexual Division of Labor
This paper presents a theory where increases in female labor force participation and reductions in the gender wage-gap are generated as part of a single process of demographic transition, characterized by reductions in mortality and fertility. The paper suggests a link between changes in mortality and transformations in the role of women in society that has not been identified before in the literature. Mortality reductions affect the incentives of individuals to invest in human capital and to have children. Particularly, gains in adult longevity reduce fertility, increase investments in market human capital, increase female labor force participation, and reduce the wage differential between men and women. Child mortality reductions, though reducing fertility, do not generate this same pattern of changes. The model reconciles the increase in female labor market participation with the timing of age-specific mortality reductions observed during the demographic transition. It generates changes in fertility, labor market attachment, and the gender wage-gap as part of a single process of social transformation, triggered by reductions in mortality.
Towards a framework for investigating tangible environments for learning
External representations have been shown to play a key role in mediating cognition. Tangible environments offer the opportunity for novel representational formats and combinations, potentially increasing representational power for supporting learning. However, we currently know little about the specific learning benefits of tangible environments, and have no established framework within which to analyse the ways that external representations work in tangible environments to support learning. Taking external representation as the central focus, this paper proposes a framework for investigating the effect of tangible technologies on interaction and cognition. Key artefact-action-representation relationships are identified, and classified to form a structure for investigating the differential cognitive effects of these features. An example scenario from our current research is presented to illustrate how the framework can be used as a method for investigating the effectiveness of differential designs for supporting science learning
Automated Identification and Classification of Stereochemistry: Chirality and Double Bond Stereoisomerism
Stereoisomers have the same molecular formula and the same atom connectivity
and their existence can be related to the presence of different
three-dimensional arrangements. Stereoisomerism is of great importance in many
different fields since the molecular properties and biological effects of the
stereoisomers are often significantly different. Most drugs for example, are
often composed of a single stereoisomer of a compound, and while one of them
may have therapeutic effects on the body, another may be toxic. A challenging
task is the automatic detection of stereoisomers using line input
specifications such as SMILES or InChI since it requires information about
group theory (to distinguish stereoisomers using mathematical information about
its symmetry), topology and geometry of the molecule. There are several
software packages that include modules to handle stereochemistry, especially
the ones to name a chemical structure and/or view, edit and generate chemical
structure diagrams. However, there is a lack of software capable of
automatically analyzing a molecule represented as a graph and generate a
classification of the type of isomerism present in a given atom or bond.
Considering the importance of stereoisomerism when comparing chemical
structures, this report describes a computer program for analyzing and
processing steric information contained in a chemical structure represented as
a molecular graph and providing as output a binary classification of the isomer
type based on the recommended conventions. Due to the complexity of the
underlying issue, specification of stereochemical information is currently
limited to explicit stereochemistry and to the two most common types of
stereochemistry caused by asymmetry around carbon atoms: chiral atom and double
bond. A Webtool to automatically identify and classify stereochemistry is
available at http://nams.lasige.di.fc.ul.pt/tools.ph
Normal Heat Conduction in a Chain with Weak Interparticle Anharmonic Potential
We analytically study heat conduction in a chain with interparticle
interaction V(x)=lambda[1-cos(x)] and harmonic on-site potential. We start with
each site of the system connected to a Langevin heat bath, and investigate the
case of small coupling for the interior sites in order to understand the
behavior of the system with thermal reservoirs at the boundaries only. We
study, in a perturbative analysis, the heat current in the steady state of the
one-dimensional system with weak interparticle potential. We obtain an
expression for the thermal conductivity, compare the low and high temperature
regimes, and show that, as we turn off the couplings with the interior heat
baths, there is a "phase transition:'' the Fourier's law holds only at high
temperatures
My Journey From Farquhar College of Arts and Science To becoming a Medical Doctor
The privilege of becoming an internist was a long journey with many hardships and gratifying moments. I am currently a physician at VCU Medical Center in Richmond, Virginia. I remember my first day at Farquhar College of Arts, studying to obtain a Biology degree with the ultimate goal of attending medical school. My presentation will highlight the journey from Farquhar to practicing medicine. I will share the challenges, gratifying stories, and secrets I learned to succeed in this journey. My goal is to help students have a greater understanding of the path to becoming a physician
Tragedy, Ecstasy, Doom: Modernist Moods of West Side Story
This thesis looks to reposition West Side Story (Jerome Robbins/Robert Wise, 1961) as an example of (neo-)modernist art. Placing the film within its context of Hollywood musicals, I see West Side Story as a particularly rich locus in which to study the genreâs modernist impulses. Using the theories of Miriam Hansenâs vernacular modernism and John Orrâs neo-modernism primarily, I examine the filmâs formal aspects, especially that of colour. Seeing the cinematic screen as analogous to a painterâs canvas, I draw comparisons with modern art of the period, particularly the Abstract Expressionists of the New York School. The filmâs precarious blending of expressionism and realism is an interesting one, and I tease out the ramifications of this binary throughout. Orr describes neo-modernist film as having two structures of feeling --the cool apocalypse and tragicomedy-- and I argue that West Side Story contains elements of both, nearing a vernacular neo-modern sublime in the process
Non-equilibrium Statistical Mechanics of Anharmonic Crystals with Self-consistent Stochastic Reservoirs
We consider a d-dimensional crystal with an arbitrary harmonic interaction
and an anharmonic on-site potential, with stochastic Langevin heat bath at each
site. We develop an integral formalism for the correlation functions that is
suitable for the study of their relaxation (time decay) as well as their
behavior in space. Furthermore, in a perturbative analysis, for the
one-dimensional system with weak coupling between the sites and small quartic
anharmonicity, we investigate the steady state and show that the Fourier's law
holds. We also obtain an expression for the thermal conductivity (for arbitrary
next-neighbor interactions) and give the temperature profile in the steady
state
Toward in vitro fertilization in Brachiaria spp.
Brachiaria are forage grasses widely cultivated in tropical areas. In vitro pollination was applied to accessions of Brachiaria spp. by placing pollen of non-dehiscent anthers on a solid medium near isolated ovaries. Viability and in vitro germination were tested in order to establish good conditions for pollen development. Comparing sexual to apomictic plants, apomictic pollen has more abortion after meiosis during the microspore stage and a lower viability and, of both types, only some plants have sufficient germination in a high sugar concentration. Using in vitro pollination with the sexual plant, the pollen tube penetrates into the nucellus and micropyle, but the embryo sac degenerates and collapses. In the apomictic B. decumbens, in vitro pollination leads to the transfer of the sperm nuclei into the egg cell and the central cell. The results are discussed according to normal fertilization and barriers in sexual and apomictic plants
- âŚ