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Optimization of dental implant treatment

Dmitriy V. Ivanov, Aleksandr V. Dol, Dmitriy A. Smirnov
2016 Russian Open Medical Journal  
Aim -Modern dentistry cannot exist without dental implantation. The lifetime of the installed implants depends on condition of the bone and on the quality of the treatment planning and surgery technique. Usually, complications during the implant treatment are related to the inability to accurately predict the condition and location of intraosseous structure that entails the selection of the wrong type of implant and installation position. Methods -This work is devoted to the "bone-implant"
more » ... m investigation aiming on the optimization of dental prostheses installation. The objective of this study was to develop the implant treatment planning technique. Modern non-invasive methods such as computer tomography (CT) and 3D-scanning as well as numerical calculations and 3D-prototyping allow optimizing all of dental prosthetics stages. Results -In this work, complex methodology of dental prosthesis installation is presented. Patient-specific dental templates developed in this work are easy to create and very accurate. Conclusion -CT processing method, numerical modeling and 3D prototyping techniques allowed us to develop a methodology of dental prosthesis installation. An integrated approach to the planning of implant surgery can significantly reduce the risk of complications in the first few days after treatment, and throughout the period of operation of the prosthesis.
doi:10.15275/rusomj.2016.0102 fatcat:i7hbfslozjejjko7tm33jssfcu

HodgeNet: Learning Spectral Geometry on Triangle Meshes [article]

Dmitriy Smirnov, Justin Solomon
2021 arXiv   pre-print
Authors' address: Dmitriy Smirnov, smirnov@mit.edu; Justin Solomon, jsolomon@mit. edu, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.  ... 
arXiv:2104.12826v1 fatcat:qoyck6rn2fhw7nni6c6xreciuq

DTL reconciliation repair

Weiyun Ma, Dmitriy Smirnov, Ran Libeskind-Hadas
2017 BMC Bioinformatics  
Maximum parsimony phylogenetic tree reconciliation is an important technique for reconstructing the evolutionary histories of hosts and parasites, genes and species, and other interdependent pairs. Since the problem of finding temporally feasible maximum parsimony reconciliations is NP-complete, current methods use either exact algorithms with exponential worst-case running time or heuristics that do not guarantee optimal solutions. Results: We offer an efficient new approach that begins with a
more » ... potentially infeasible maximum parsimony reconciliation and iteratively "repairs" it until it becomes temporally feasible. Conclusions: In a non-trivial number of cases, this approach finds solutions that are better than those found by the widely-used Jane heuristic.
doi:10.1186/s12859-017-1463-9 pmid:28361686 pmcid:PMC5374596 fatcat:l7nn72xwqfemtp5m7fydes6ddq

Kolmogorov-Smirnov statistic and its application in library design

Dmitrii N Rassokhin, Dimitris K Agrafiotis
2000 Journal of Molecular Graphics and Modelling  
Two types of designs are discussed (singles, arrays), and a novel criterion based on the Kolmogorov-Smirnov statistic is proposed as a means to enforce a particular distribution on key molecular properties  ...  Kolmogorov-Smirnov Criterion The Kolmogorov-Smirnov criterion measures how well an experimental distribution is approximated by a particular distribution function. 22 It is applicable to unbinned distributions  ...  The Kolmogorov-Smirnov criterion as defined by Equation 4 is a measure of dissimilarity and takes values in the interval [0,1].  ... 
doi:10.1016/s1093-3263(00)00063-2 pmid:11143556 fatcat:2is7oxegvbaxbghydjhx7q5ez4

Developing a Lawyer's Practical Thinking at Higher Education Institution Stage of the Professionalization

Alexander Smirnov, Dmitriy Smirnov, Mariya Yurkina
2015 Mediterranean Journal of Social Sciences  
The paper considers the particularities of development of a lawyer's practical thinking at the higher education institution stage of professionalization. In order to achieve the set goal, the block of psychological techniques was used, in particular, several scales of R. Cattell's 16-factor personality questionnaire, a questionnaire for diagnosing the practical orientation of thinking, a questionnaire of creative personal capacities etc. The research was conducted with a sample of 282 students
more » ... f the faculty of law of P.G. Demidov YarSU, with 143 students of the faculty of economics of P.G. Demidov YarSU as the control group (425 people in total). The study performed has shown that the development of qualities of thinking in lawyers at the higher education institution stage of professionalization is distinguished by essential heterochrony. In particular, a significant reduction of most professionally important indices has been found in year 3 of studying at the faculty of law. These indices are restored in years 4 and 5 either in full (intellect) or in part (practical orientation of thinking, development of creative personal capacities). This allows speaking about a crisis in the development of professional thinking of law students in year 3. The consequences of this crisis turn to not be overcome completely by year 5. In the paper, it is supposed that finally the consequences of the crisis found are eliminated as late as during the graduate's direct performing of the professional activity.
doi:10.5901/mjss.2015.v6n6s5p319 fatcat:4arqdbyd7vdjjnysiuokukllfe

Wassersplines for Neural Vector Field–Controlled Animation [article]

Paul Zhang, Dmitriy Smirnov, Justin Solomon
2022 arXiv   pre-print
Much of computer-generated animation is created by manipulating meshes with rigs. While this approach works well for animating articulated objects like animals, it has limited flexibility for animating less structured free-form objects. We introduce Wassersplines, a novel trajectory inference method for animating unstructured densities based on recent advances in continuous normalizing flows and optimal transport. The key idea is to train a neurally-parameterized velocity field that represents
more » ... he motion between keyframes. Trajectories are then computed by advecting keyframes through the velocity field. We solve an additional Wasserstein barycenter interpolation problem to guarantee strict adherence to keyframes. Our tool can stylize trajectories through a variety of PDE-based regularizers to create different visual effects. We demonstrate our tool on various keyframe interpolation problems to produce temporally-coherent animations without meshing or rigging.
arXiv:2201.11940v2 fatcat:lwj6kvcy2napvmd3k6hqpdg33m

OWL-ontology visualization tool

Pavel Smirnov, Dmitriy Mouromtsev
2012 2012 11th Conference of Open Innovations Association (FRUCT)  
This paper describes an idea of visual modeling tool for knowledge bases. The tool is planned to be an interactive multimedia application, which intuitively demonstrates complicated ontological structures and makes cognition process more effective and interesting. This work is a part of project concerning the optics ontology development and building an educational portal to introduce it into Optics Museum of ITMO University. The tool visualizes ontology in form of a graph and is planned to be
more » ... ed on tablet PC-s or info-stands installed in the museum.
doi:10.23919/fruct.2012.8253120 dblp:conf/fruct/SmirnovM12 fatcat:eoi26zzxs5hhhpkvezdl2lluei

Conformational stabilization of isatin Schiff bases – biologically active chemical probes

Andrey S. Smirnov, Dmitriy N. Nikolaev, Vlad V. Gurzhiy, Sergey N. Smirnov, Vitaliy S. Suslonov, Alexander V. Garabadzhiu, Pavel B. Davidovich
2017 RSC Advances  
Two ways of conformation stabilization for isatin Schiff bases (group of biologically active compounds) are reported here: complexation with metals that stabilize E-conformer and substitution in the 4th position of isatin core stabilizing Z-form.
doi:10.1039/c6ra26779c fatcat:5x7cbfcdvvcpvevtiflfuvbmre

MarioNette: Self-Supervised Sprite Learning [article]

Dmitriy Smirnov, Michael Gharbi, Matthew Fisher, Vitor Guizilini, Alexei A. Efros, Justin Solomon
2021 arXiv   pre-print
Artists and video game designers often construct 2D animations using libraries of sprites -- textured patches of objects and characters. We propose a deep learning approach that decomposes sprite-based video animations into a disentangled representation of recurring graphic elements in a self-supervised manner. By jointly learning a dictionary of possibly transparent patches and training a network that places them onto a canvas, we deconstruct sprite-based content into a sparse, consistent, and
more » ... explicit representation that can be easily used in downstream tasks, like editing or analysis. Our framework offers a promising approach for discovering recurring visual patterns in image collections without supervision.
arXiv:2104.14553v2 fatcat:v6romfuzbjfkdagcfb3f2q2s2i

Phonons in Short-Period GaN/AlN Superlattices: Group-Theoretical Analysis, Ab initio Calculations, and Raman Spectra

Valery Davydov, Evgenii Roginskii, Yuri Kitaev, Alexander Smirnov, Ilya Eliseyev, Dmitrii Nechaev, Valentin Jmerik, Mikhail Smirnov
2021 Nanomaterials  
We report the results of experimental and theoretical studies of phonon modes in GaN/AlN superlattices (SLs) with a period of several atomic layers, grown by submonolayer digital plasma-assisted molecular-beam epitaxy, which have a great potential for use in quantum and stress engineering. Using detailed group-theoretical analysis, the genesis of the SL vibrational modes from the modes of bulk AlN and GaN crystals is established. Ab initio calculations in the framework of the density functional
more » ... theory, aimed at studying the phonon states, are performed for SLs with both equal and unequal layer thicknesses. The frequencies of the vibrational modes are calculated, and atomic displacement patterns are obtained. Raman spectra are calculated and compared with the experimental ones. The results of the ab initio calculations are in good agreement with the experimental Raman spectra and the results of the group-theoretical analysis. As a result of comprehensive studies, the correlations between the parameters of acoustic and optical phonons and the structure of SLs are obtained. This opens up new possibilities for the analysis of the structural characteristics of short-period GaN/AlN SLs using Raman spectroscopy. The results obtained can be used to optimize the growth technologies aimed to form structurally perfect short-period GaN/AlN SLs.
doi:10.3390/nano11020286 pmid:33499097 fatcat:cmy2ugupzff3laywwtwrjytpfa

Specific Capacity of Power Inductors and Capacitors
Удельная мощность силовых индуктивностей и емкостей

Dmitriy S. Smirnov
2017 Vestnik MEI  
Киров, e-mail: SmirnovDS@technodinamika.ru Information about author Smirnov  ... 
doi:10.24160/1993-6982-2017-2-82-87 fatcat:7otcdaf26nfjtcy3vydyvoiage

Oxidative Status Pathways: Systemic Biomarkers [chapter]

Peter Zolotukhin, Viktor Chmykhalo, Anna Belanova, Alexander Dybushkin, Viktor Fedoseev, Dmitriy Smirnov
2018 Biomarker - Indicator of Abnormal Physiological Process  
Systemic biomarkers (i.e. biomarkers of functioning of cellular pathways) offer a broad spectrum of diagnostic capabilities. There are several approaches to using systemic biomarkers that derive from exact needs of a researcher or a clinical specialist. First, analyzing a multifunctional and multi-systemic pathway in circulating cells (e.g. leukocytes) allows to gather generalized information on functioning of the organism. Second, there are numerous pathways that, even still in circulating
more » ... s, allow to assess risks of developing or stage of development of numerous diseases, including the leaders of non-infection diseases mortality-cardiovascular diseases. Third, biopsy specimens can readily be used to assess the exact signaling type of a disease (especially cancer) thus helping in selecting the best treatment option. Due to unique properties of the human oxidative status pathways that are discussed in the present chapter, diagnostics specialists are now acquiring an allin-one toolbox for profiling and detecting almost any non-infectious and a broad range of infectious diseases. In addition to properties of the human oxidative status pathways opening these possibilities, this chapter considers exact systemic biomarkers deriving from this approach, reveals some examples of usage of the resulting diagnostic technology and provides instances of successful clinical application of the systemic biomarker approach.
doi:10.5772/intechopen.75543 fatcat:l7yfzcu2nnbkjmtmfgrsgbqdie

Statistical properties of partially coherent cw fiber lasers

Dmitriy V. Churkin, Sergey V. Smirnov, Evgenii V. Podivilov
2010 Optics Letters  
A detailed quantitative numerical analysis of partially coherent quasi-CW fiber laser is performed on the example of high-Q cavity Raman fiber laser. The key role of precise spectral performances of fiber Bragg gratings forming the laser cavity is clarified. It is shown that cross phase modulation between the pump and Stokes waves does not affect the generation. Amplitudes of different longitudinal modes strongly fluctuate obeying the Gaussian distribution. As intensity statistics is noticeably
more » ... non-exponential, longitudinal modes should be correlated.
doi:10.1364/ol.35.003288 pmid:20890362 fatcat:del6w2flmjb6tihcjhyzu2a4qe

Deep Parametric Shape Predictions using Distance Fields [article]

Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon
2020 arXiv   pre-print
Many tasks in graphics and vision demand machinery for converting shapes into consistent representations with sparse sets of parameters; these representations facilitate rendering, editing, and storage. When the source data is noisy or ambiguous, however, artists and engineers often manually construct such representations, a tedious and potentially time-consuming process. While advances in deep learning have been successfully applied to noisy geometric data, the task of generating parametric
more » ... pes has so far been difficult for these methods. Hence, we propose a new framework for predicting parametric shape primitives using deep learning. We use distance fields to transition between shape parameters like control points and input data on a pixel grid. We demonstrate efficacy on 2D and 3D tasks, including font vectorization and surface abstraction.
arXiv:1904.08921v2 fatcat:4hgbzqp6rvhvdpcv572dzlk6wq

Polygonal Building Segmentation by Frame Field Learning [article]

Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka
2021 arXiv   pre-print
While state of the art image segmentation models typically output segmentations in raster format, applications in geographic information systems often require vector polygons. To help bridge the gap between deep network output and the format used in downstream tasks, we add a frame field output to a deep segmentation model for extracting buildings from remote sensing images. We train a deep neural network that aligns a predicted frame field to ground truth contours. This additional objective
more » ... roves segmentation quality by leveraging multi-task learning and provides structural information that later facilitates polygonization; we also introduce a polygonization algorithm that utilizes the frame field along with the raster segmentation. Our code is available at https://github.com/Lydorn/Polygonization-by-Frame-Field-Learning.
arXiv:2004.14875v2 fatcat:iaql4iwbvrawrfcaemgeyt2b7q
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