Relevant bibliographies by topics / Functional similarity

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Functional similarity'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Functional similarity"

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Yin, Jie, and Ai Lun Wang. "Research on Functional Similarity and Structural Similarity of Mechanical Components." Applied Mechanics and Materials 541-542 (March 2014): 603–7. http://dx.doi.org/10.4028/www.scientific.net/amm.541-542.603.

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The similarity theory is in essence a method based on equation expression. In the application, the model is regarded to be similar to the prototype only if the similarity theorem can be met. But different physical objects have the same equation expression, so the model is always not similar to the prototype. To solve this problem, a new method which studies the similarity of mechanical components from the perspective of function and structure is put forward in this paper, based on the similarity theory and the ‘black box’ concept. The functional similarity criteria and structural similarity criteria derived from this method can accurately describe the similar properties of mechanical components under different similar requirements and can be used to set up the experimental model. Finally, a series of basic mechanical components are taken for example to verify the feasibility and superiority of this method. The method put forward in this paper can be applied to model test design and engineering test, etc. under different similar requirements.
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Peng, Jiajie, Yadong Wang, and Jin Chen. "Towards integrative gene functional similarity measurement." BMC Bioinformatics 15, Suppl 2 (2014): S5. http://dx.doi.org/10.1186/1471-2105-15-s2-s5.

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Pavoine, Sandrine, and Carlo Ricotta. "Functional and phylogenetic similarity among communities." Methods in Ecology and Evolution 5, no. 7 (May 10, 2014): 666–75. http://dx.doi.org/10.1111/2041-210x.12193.

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Geerlings, P., G. Boon, C. Van Alsenoy, and F. De Proft. "Density functional theory and quantum similarity." International Journal of Quantum Chemistry 101, no. 6 (October 22, 2004): 722–32. http://dx.doi.org/10.1002/qua.20329.

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Al Dallal, J. "Software similarity-based functional cohesion metric." IET Software 3, no. 1 (2009): 46. http://dx.doi.org/10.1049/iet-sen:20080054.

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Schlicker, A., and M. Albrecht. "FunSimMat: a comprehensive functional similarity database." Nucleic Acids Research 36, Database (December 23, 2007): D434—D439. http://dx.doi.org/10.1093/nar/gkm806.

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Glass, Kimberly, Edward Ott, Wolfgang Losert, and Michelle Girvan. "Implications of functional similarity for gene regulatory interactions." Journal of The Royal Society Interface 9, no. 72 (February 2012): 1625–36. http://dx.doi.org/10.1098/rsif.2011.0585.

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If one gene regulates another, those two genes are likely to be involved in many of the same biological functions. Conversely, shared biological function may be suggestive of the existence and nature of a regulatory interaction. With this in mind, we develop a measure of functional similarity between genes based on annotations made to the Gene Ontology in which the magnitude of their functional relationship is also indicative of a regulatory relationship. In contrast to other measures that have previously been used to quantify the functional similarity between genes, our measure scales the strength of any shared functional annotation by the frequency of that function's appearance across the entire set of annotations. We apply our method to both Escherichia coli and Saccharomyces cerevisiae gene annotations and find that the strength of our scaled similarity measure is more predictive of known regulatory interactions than previously published measures of functional similarity. In addition, we observe that the strength of the scaled similarity measure is correlated with the structural importance of links in the known regulatory network. By contrast, other measures of functional similarity are not indicative of any structural importance in the regulatory network. We therefore conclude that adequately adjusting for the frequency of shared biological functions is important in the construction of a functional similarity measure aimed at elucidating the existence and nature of regulatory interactions. We also compare the performance of the scaled similarity with a high-throughput method for determining regulatory interactions from gene expression data and observe that the ontology-based approach identifies a different subset of regulatory interactions compared with the gene expression approach. We show that combining predictions from the scaled similarity with those from the reconstruction algorithm leads to a significant improvement in the accuracy of the reconstructed network.
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Dalmis, Mehmet Ufuk, and Ata Akin. "Similarity analysis of functional connectivity with functional near-infrared spectroscopy." Journal of Biomedical Optics 20, no. 8 (August 21, 2015): 086012. http://dx.doi.org/10.1117/1.jbo.20.8.086012.

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Beven, K. J., and S. W. Franks. "Functional similarity in landscape scale SVAT modelling." Hydrology and Earth System Sciences 3, no. 1 (March 31, 1999): 85–93. http://dx.doi.org/10.5194/hess-3-85-1999.

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Abstract. In this study, it is shown that the complexity of Soil Vegetation Atmosphere Transfer (SVAT) models leads to an equifinality of functional behaviour - many parameterizations from many areas of the parameter space lead to very similar responses. Individual parameters derived by calibration (i.e. model inversion) against limited measurements are, therefore, highly uncertain. Due to the non-linear internal behaviour of SVAT models, aggregation of uncertainly known parameter fields to parameterize landscape scale variability in surface fluxes will yield highly uncertain predictions. A disaggregation approach suggested by Beven (1995) requires that the land surface be represented by a linear sum of a number of representative parameterizations or functional types. This study explores the nature of the parameter space in terms of a simple definition of functional behaviour. Parameter interactions producing similar predicted behaviours are investigated through application of Principal Component Analyses. These reveal the lack of a dominant global interaction indicating the presence of highly complex parameter interactions throughout the feasible parameter space.
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Huang, Yu-An, Xing Chen, Zhu-Hong You, De-Shuang Huang, and Keith C. C. Chan. "ILNCSIM: improved lncRNA functional similarity calculation model." Oncotarget 7, no. 18 (March 23, 2016): 25902–14. http://dx.doi.org/10.18632/oncotarget.8296.

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Dissertations / Theses on the topic "Functional similarity"

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Koohy, Hashem. "Computational prediction of functional similarity of CRMs." Thesis, University of Warwick, 2010. http://wrap.warwick.ac.uk/35518/.

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Transcriptional regulation of genes is fundamental to all living organisms. The spatial, temporal and condition-specific expression levels of genes are in part determined by inherited regulatory codes in non-coding regions of the DNA. A large set of methods have been proposed to detect conserved regions of regulatory DNA by means of sequence alignments. However, it has become clear that some regulatory regions do not show statistically significant alignments even in the presence of functional conservation. Therefore, detecting and characterising elusive regulatory codes remains a challenging problem. In this thesis we develop and validate a novel computational alignment free model for detection of functional similarity of regulatory sequences. We show that our model can detect functional links between pairs of sequences that do not align with a significant score. We apply the model to a) detect enhancers within the same genome that are likely to have similar functions and b) to detect functionally conserved enhancer regions in orthologous genomes. Our method finds regulatory codes that are common to groups of similar enhancers and consistent with previous biological knowledge. The inputs for our model are two sequences that we wish to compare in terms of their functional similarity as well as a set of transcription factor motifs. The mathematical framework of our model is built on two main components: In the first model component, each sequence is mapped to a vector of estimated occupancy levels for all motifs. These vectors are representing which motifs at what multiplicity and specificity are present in each sequence. In the second model component, a statistical approach is established where we first estimate a probability distribution of motif occupancy levels for sequences that function similar to the template sequence. We then compute a statistical similarity score to evaluate if the sequences are more similar to each other than to random background sequences. Two applications of this model are presented: First it is applied to a set of experimentally validated non-alignable enhancers from D. melanogaster. We show that: • Our model can detect statistical links between these enhancers, • Weak binding sites can make a strong contribution to sequence similarity, • Our model treats statistically significant presence and absence of motifs symmetrically. Similarity of sequences, therefore, can be based on a combination of the two. We show examples of motifs making contributions to sequence similarity through their absence. • Using our model, we can create a network of similarities among the fly enhancers. Groups of enhancers in this network show common regulatory codes. One of these regulatory codes is strongly supported by existing experimental data. In the second application of our model we predict functional subregions of a known D. melanogaster enhancer. To achieve this, we first show that the model can detect the orthology of this enhancer between 10 Drosophila species. We then demonstrate how this statistical link can be used to predict functional subregions within this enhancer.
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Ozcan, Top Ozden. "Functional Similarity Impact On The Relation Between Functional Size And Software Development Effort." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610006/index.pdf.

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In this study, we identified one of the reasons of the low correlation between functional size and development effort which is overlooking the similarity of the functions during the mapping of the functional size and development effort. We developed a methodology (SiRFuS) that is based on the idea of the reuse of the similar functions internally to provide high correlation between functional size and development effort. The method is developed for the identification of the similar functions based on the method of Santillo and Abran. Similarity percentages among the functional processes and Similarity Reflective Functional Sizes are computed to attain adjusted functional sizes. The similarity reflective functional sizes were named as Discrete Similarity Reflective Functional Size and Continuous Similarity Reflective Functional Size based on the characteristics of the adjusted functional sizes. The SiRFuS method consists of three stages: measurement of the software product with COSMIC Functional Size Measurement (FSM) method
identification of the functional similarities bases on the measurement results and calculation of the similarity reflective functional sizes. In order to facilitate the detection of similar functions, calculation of the percentage of the similarities and similarity reflective functional sizes
a software tool is developed based on the SiRFuS method. Two case studies were performed in order to identify the improvement opportunities and evaluate the applicability of the method and the tool.
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Gold, Nicola Diane. "Computational approaches to similarity searching in a functional site database for protein function prediction." Thesis, University of Leeds, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.400259.

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Welter, Danielle. "Investigating “Gene Ontology”- based semantic similarity in the context of functional genomics." Thesis, Cardiff University, 2011. http://orca.cf.ac.uk/14292/.

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Gene functional annotations are an essential part of knowledge discovery in the analysis of large datasets, with the Gene Ontology [Ashburner et al., 2000] as the de facto standard for such annotations. A considerable number of approaches for quantifying functional similarity between gene products based on the semantic similarity between their annotations have been developed, but little guidance exists as to which of these measures are the most appropriate for different purposes. This was addressed here by comparing the performances of a number of similarity measures and associated parameters. This comparison provided some interesting new insights as well as confirming emerging trends from the literature. There is also a pressing need for novel ways of applying these measures to facilitate the functional analysis of lists of gene products. We developed a novel algorithm, FuSiGroups, to group GO terms based on their semantic similarity and genes based on their functional similarity. This two-fold grouping results in groups of not only functionally similar genes but also an associated set of related GO terms that characterise a single functional aspect relating the genes in the group, which facilitates analysis by creating more coherent groups. Each gene can belong to multiple groups, so the groups more accurately reflect the complexity of biological reality than clusters generated using traditional approaches. FuSiGroups was tested on a number of scenarios and in each case, successfully generated biologically relevant groups, identifying the key functional aspects of the dataset. The algorithm also managed to eliminate genes that were functionally unrelated to the bulk of the dataset and distinguish between different biological pathways. Although dataset size is currently a limiting factor, with smaller datasets performing the best, FuSiGroups has been demonstrated as a promising approach for the functional analysis of gene products.
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Pluciennicka, Ewa. "Thematic and functional similarity relations in manipulable artifact knowledge organizations : the role of action." Thesis, Lille 3, 2015. http://www.theses.fr/2015LIL30014.

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L’objectif de ce travail de thèse était d’approfondir les connaissances actuelles sur l’organisation des concepts d’objets fabriqués manipulables. Plus particulièrement, nous nous sommes intéressés au traitement implicite des relations thématiques (e.g., scie-bois) et des relations de similarité fonctionnelle spécifique (e.g., scie-hâche) et générale (e.g., scie-couteau) lors de l’identification des objets fabriqués manipulables. Les stimuli ont été sélectionnés par une tâche de génération de propriétés et le traitement implicite des relations sémantiques a été évalué grâce à l’enregistrement des mouvements oculaires dans le Paradigme du Monde Visuel. Tout d’abord, nous avons évalué le développement du traitement implicite des relations thématiques et de similarité fonctionnelle chez les enfants de 6-, 8- 10- ans et chez l’adulte. Les résultats ont montré que le traitement implicite des relations de similarité fonctionnelle générale évolue progressivement avec l’âge, alors que les relations thématiques sont déjà implicitement traitées dès 6-ans. Ensuite, nous avons testé le rôle de l’action dans le traitement de ces relations. Chez l’adulte, les résultats ont montré que l’action amorce le traitement des relations thématiques différemment en fonction du niveau de représentation de l’action impliqué. Le traitement thématique est facilité par l’action représentée au niveau du geste mais gêné par l’action représentée au niveau de l’intention. Chez l’enfant, les données ont montré que le traitement de relations de similarité fonctionnelle générale est facilité par l’action représentée au niveau de l’intention. Les données préliminaires chez le patient cérébro-lésé renforcent l’idée d’une structure conceptuelle multidéterminée et graduelle. Dans l’ensemble, ce travail démontre que les connaissances sur les objets fabriqués manipulables sont organisées selon des relations sémantiques distinctes qui présentent des trajectoires développementales différentes et correspondent à diffèrent niveaux de représentation d’action
The general aim of this work was to provide a better understanding of the cognitive mechanisms underlying manipulable artifact object conceptual organization. Specifically, we investigated implicit processing of thematic (e.g., saw-wood) and functional similarity relations at the specific (e.g., saw-axe) and general (e.g., saw-knife) levels during manipulable artifact object identification. Stimuli were selected from property generation and implicit semantic processing was investigated using eye-tracking in the Visual World Paradigm. First, we assessed the development of thematic and functional similarity processing in 6-, 8-, 10- year-old children and adults. Results demonstrated progressive emergence of general function similarity processing with age, while thematic and specific function similarity processing was already present from 6. Findings support a graded involvement of distinct mechanisms in object semantic processing and development. In the second series of experiments, we investigated the role of action in thematic and functional similarity processing by combining action priming with the Visual World Paradigm in adults and 6-year-olds. In adults, action primed thematic processing differently depending on the level of action representation entailed. Thematic processing was facilitated by gesture-level action representations but disturbed by intention-level action representations. In 6-year-olds, intention-level action representations improved general functional similarity relation implicit processing. Findings highlight the role of different action representation levels in manipulable artifact object semantic processing. Finally, preliminary data collected in 8 stroke patients provided additional evidence in favor of a multidetermined and graded manipulable artifact semantic structure. Together, findings demonstrate that knowledge about manipulable artifacts is organized along distinct types of semantic relations that show different developmental trajectories and relate to different levels of action representations
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Karmakar, Saurav. "Statistical Stability and Biological Validity of Clustering Algorithms for Analyzing Microarray Data." Digital Archive @ GSU, 2005. http://digitalarchive.gsu.edu/math_theses/3.

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Simultaneous measurement of the expression levels of thousands to ten thousand genes in multiple tissue types is a result of advancement in microarray technology. These expression levels provide clues about the gene functions and that have enabled better diagnosis and treatment of serious disease like cancer. To solve the mystery of unknown gene functions, biological to statistical mapping is needed in terms of classifying the genes. Here we introduce a novel approach of combining both statistical consistency and biological relevance of the clusters produced by a clustering method. Here we employ two performance measures in combination for measuring statistical stability and functional similarity of the cluster members using a set of gene expressions with known biological functions. Through this analysis we construct a platform to predict about unknown gene functions using the outperforming clustering algorithm.
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Swenson, Nathan Garrick. "The Influence of Phylogenetic and Functional Similarity on Species Coexistence Through Space and Time." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/194918.

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The problem of species diversity and co-existence in hyper-diverse communities remains. Traditionally ecologists have approached this problem from examining patterns of co-occurrence, interaction matrices and abundance distributions. This work, while productive, generally has rarely explored the role of shared ancestry and species-specific quantitative function in promoting species diversity and co-existence. This has been a critical oversight as simply analyzing the list of Latin binomials in an assemblage ignores the relatedness between taxa as well as the diversity in organismal form and function--the very information relevant to evolutionary, ecological, and historical hypotheses about the distribution of diversity and community assembly. The following research is designed to investigate the role of phylogenetic and functional similarity on species diversity and co-existence through space and time in diverse tropical tree communities. Specifically, I investigate: (i) the role of phylogenetic relatedness in determining community structure from very local to large regional spatial scales; (ii) the role of phylogeny in determining the structure of tree communities at different strategraphic levels in the canopy; (iii) the power of recently developed phylogenetic analyses to detect non-random patterns of co-existence in communities when the phylogenetic tree used is not completely resolved; (iv) the role of functional similarity in promoting co-existence in a Neotropical dry forest through space and across body sizes; (v) whether decadal long trends in forest composition can be explained on the basis of species-specific function; and (vi) variability in a key functional trait across New World forest communities and along the Angiosperm phylogeny.
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Izumi, Tomoko. "Normalization and Similarity Recognition of Complex Predicate Phrases Based on Linguistically-Motivated Evidence." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/185200.

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Diaz, Krystalle Sharlyn. "Using Homology-Based Methods and Functional Similarity to Identify Antibiotic Resistance in a Natural Environment." Thesis, The University of Arizona, 2015. http://hdl.handle.net/10150/594942.

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Antibiotics are the crux of modern medicine, and antibiotic resistance (AbR) is a challenge to overcome. It has long been known that antibiotic production by soil microbiota is a natural process. Antibiotics such as streptomycin and penicillin come from common soil microorganisms. AbR is said to spread readily and rapidly through the environment, but its natural occurrence is poorly constrained. In studies analyzing natural AbR across a variety of habitats, researchers have found resistance in agricultural fields, human and animal feces, soils, deep caves, prehistoric ice cores, marine habitats, and reclaimed wastewater. Permafrost soils represent a pristine (human-unimpacted) environment capable of serving as a model system for natural AbR. I compared a functionality-based approach to a traditional identity-based approach to identify AbR sequences in permafrost microbial community genomes. The functionality-based approach yielded better quality results overall, and identified sequences more likely to be mappable to molecular pathways with the KEGG database.
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Watson, Paul. "Calculating the knowledge-based similarity and complementarity of functional groups based on their non-bonded interactions." Thesis, University of Sheffield, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392463.

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Books on the topic "Functional similarity"

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Computation: Computability, similarity, and duality. London: Pitman, 1986.

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Hazra, Lakshminarayan, and Pubali Mukherjee. Self-similarity in Walsh Functions and in the Farfield Diffraction Patterns of Radial Walsh Filters. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-2809-0.

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Heil, Christopher, Carlos A. Cabrelli, and Ursula M. Molter. Self-Similarity and Multiwavelets in Higher Dimensions (Memoirs of the American Mathematical Society). American Mathematical Society, 2004.

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Aijmer, Karin. Modality and Mood in Functional Linguistic Approaches. Edited by Jan Nuyts and Johan Van Der Auwera. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199591435.013.22.

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The chapter deals with functional approaches to mood and modality. The focus is on Systemic Functional Grammar (SFG) associated with Halliday’s writings, Dik’s Functional Grammar (FG), and the mainly American functional school of Role and Reference Grammar (RRG). The positions taken by these schools can be described as “structuralist-functionalist” in that they propose models relating form to function. It is shown that a layered representation in some form is required to account for the role of mood and modality. Halliday’s interpersonal grammar has been further developed under the heading of Appraisal. It is typical of this and related theories that it emphasizes the similarity between modality and other types of attitudes which can be expressed by language.
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Statistical Learning with Similarity and Dissimilarity Functions. Berlin, Germany: Logos-Verlag Berlin, 2004.

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Jia-Wei, Hong. Computation: Computability, Similarity and Duality (Research Notes in Theoretical Computer Science). Financial Times Management, 1987.

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Pittelkow, Mark R., Charles L. Loprinzi, and Thomas P. Pittelkow. Pruritus and sweating in palliative medicine. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199656097.003.0112.

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Itching (pruritus) and sweating (perspiration, diaphoresis) are physiological functions of the skin that normally serve human existence well. Itching is the sensory input arising from the skin and mucous membranes that alerts man to potentially harmful insults from physical, chemical, and biological sources. The reflex of scratching is closely linked to the perception of itch, and in most situations functions effectively as an aversive motor response to relieve the sensation and protect the skin. Similarly, sweating is a well-developed and finely coordinated sudomotor response designed to regulate body temperature and prevent hyperthermia. However, both pruritus and sweating have the potential to function aberrantly and develop into pathological conditions that create significant suffering and morbidity. This chapter provides a practical overview of the normal function and pathophysiology of pruritus and sweating, and offer a variety of therapeutic options and general comforting measures for patients experiencing these maladies.
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Gorman, Jack M. Brain Imaging. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190850128.003.0005.

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The blood–brain barrier vigorously limits what can get into and out of the brain, making our ability to understand brain function much more difficult than with any other organ in the body. The modern era of brain imaging began about a half-century ago with the introduction of computed axial tomography (CAT) and magnetic resonance imaging (MRI). Although CAT scanning shows brain structure in great detail and revolutionized the precision of medical diagnosis, including of brain disorders, it has had relatively little impact on psychiatry because most psychiatric illnesses do not involve visible abnormalities of the size, shape, or volume of brain structures. Similarly, although we have gained some insights from structural MRI, it primarily shows us the anatomy of the brain. Three other variants of MRI, however, have been extremely useful in studying psychiatric issues: functional magnetic resonance imaging, diffusion tensor imaging, and magnetic resonance spectroscopy.
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Mason, Peggy. Spinal Cord. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190237493.003.0004.

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The spinothalamic and lemniscal pathways carry somatosensory information from the periphery into the brain while the corticospinal pathway carries motor commands from the brain to motoneurons of the spinal cord. Following these pathways through the spinal cord allows the student to infer lesion location from symptoms. To exemplify the clinical importance of sympathetic outputs from thoracic segments, Horner syndrome is described. Similarly, the common problems caused by spinal cord injury on sacral parasympathetic functions are stressed. The contributions of specific spinal segments to breathing, hand and foot dexterity, and micturition are emphasized. Working through the logic of the symptoms caused by spinal hemisection (Brown-Séquard syndrome), pyramidal stroke, and syringomyelia provides the student with a clear framework for understanding spinal function in the clinical context.
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Jacobsen, Dean, and Olivier Dangles. Energy flow and species interactions at the edge. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198736868.003.0007.

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Chapter 7 elucidates the relationships between the structure and functioning of aquatic ecosystems at high altitude through the description of material cycles and food webs. Following the landscape continuum model, material cycling is profoundly influenced by the physical structure of the waterscape (e.g. vegetation cover); as a result a great diversity of energetic pathways characterize high altitude waterscapes, along an autotrophy–heterotrophy gradient. Similarly, high altitude aquatic food webs embrace a great diversity of trophic compartments, feeding strategies, and processes (trophic cascades and terrestrial subsidiarity) that are profoundly shaped by environmental harshness. Harsh conditions also generate stress gradients along which the strength and direction of species interactions (from competition to facilitation) and their functional role (e.g. as ecosystem engineers) are modified. The resulting structural and functional changes affect in turn species coexistence and trigger potential ecosystem shifts.
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Book chapters on the topic "Functional similarity"

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Plewniak, Frédéric. "Database Similarity Searches." In Functional Proteomics, 361–78. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-398-1_24.

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König, Ekkehard, and Jingying Li. "Functional similarity despite geographical distance." In Studies in Language Companion Series, 55–74. Amsterdam: John Benjamins Publishing Company, 2018. http://dx.doi.org/10.1075/slcs.202.03koe.

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Pazos, Florencio, David Juan, Jose M. G. Izarzugaza, Eduardo Leon, and Alfonso Valencia. "Prediction of Protein Interaction Based on Similarity of Phylogenetic Trees." In Functional Proteomics, 523–35. Totowa, NJ: Humana Press, 2008. http://dx.doi.org/10.1007/978-1-59745-398-1_31.

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Schmid, Ute. "11. Structural Similarity in Analogical Transfer." In Inductive Synthesis of Functional Programs, 291–310. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-44846-4_11.

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Zhu, Tianming, and Jin-Ting Zhang. "Cosine Similarity-Based Classifiers for Functional Data." In Contemporary Experimental Design, Multivariate Analysis and Data Mining, 277–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46161-4_18.

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Pesaranghader, Ahmad, Ali Pesaranghader, Azadeh Rezaei, and Danoosh Davoodi. "Gene Functional Similarity Analysis by Definition-based Semantic Similarity Measurement of GO Terms." In Advances in Artificial Intelligence, 203–14. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06483-3_18.

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Kumar, Nishant, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, and Stefan Gumhold. "Structural Similarity Based Anatomical and Functional Brain Imaging Fusion." In Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 121–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33226-6_14.

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Licea Torres, Luis David, and Hisham Al-Mubaid. "A Disease Similarity Technique Using Biological Process Functional Annotations." In Lecture Notes in Networks and Systems, 261–72. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80126-7_20.

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Chitale, Meghana, and Daisuke Kihara. "Enhanced Sequence-Based Function Prediction Methods and Application to Functional Similarity Networks." In Protein Function Prediction for Omics Era, 19–34. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0881-5_2.

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Syeda-Mahmood, Tanveer, Colin B. Compas, David Beymer, and Ritwik Kumar. "Similarity Retrieval of Angiogram Images BASED on a Flexible Shape Model." In Functional Imaging and Modeling of the Heart, 97–105. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38899-6_12.

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Conference papers on the topic "Functional similarity"

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Caldwell, Benjamin W., and Gregory M. Mocko. "Functional Similarity at Varying Levels of Abstraction." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28970.

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Function modeling is often used in the conceptual design phase as an approach to capture a form-independent purpose of a product. Current research efforts have focused on the formalization of functional models, development of function-based design repositories, and concept generation based on a quantitative functional similarity metric. In this paper, three levels of abstraction of function models are obtained by including supporting functions, excluding supporting functions, and applying abstraction rules to function models of 128 products in a design repository. The similarity of these products is computed using the Functional Basis controlled vocabulary and a matrix-based similarity metric. A matrix-based clustering algorithm is then applied to the similarity results to identify groups of similar products. A subset of these products is then studied to further compare the three levels of abstraction and to validate the results. Similarity between consumer products depends on the level of abstraction of the models, with higher levels of abstraction producing better results.
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Zhao, Gang, and Jeff Huang. "DeepSim: deep learning code functional similarity." In ESEC/FSE '18: 26th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3236024.3236068.

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Nandy, Ananya, Andy Dong, and Kosa Goucher-Lambert. "A Comparison of Vector and Network-Based Measures for Assessing Design Similarity." In ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/detc2020-22424.

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Abstract In order to retrieve analogous designs for design-by-analogy, computational systems require the calculation of similarity between the target design and a repository of source designs. Representing designs as functional abstractions can support designers in practicing design-by-analogy by minimizing fixation on surface-level similarities. In addition, when a design is represented by a functional model using a function-flow format, many measures are available to determine functional similarity. In most current function-based design-by-analogy systems, the functions are represented as vectors and measures like cosine similarity are used to retrieve analogous designs. However, it is hypothesized that changing the similarity measure can significantly change the examples that are retrieved. In this paper, several similarity measures are empirically tested across a set of functional models of energy harvesting products. In addition, the paper explores representing the functional models as networks to find functionally similar designs using graph similarity measures. Surprisingly, the types of designs that are considered similar by vector-based and one of the graph similarity measures are found to vary significantly. Even among a set of functional models that share known similar technology, the different measures find inconsistent degrees of similarity — some measures find the set of models to be very similar and some find them to be very dissimilar. The findings have implications on the choice of similarity metric and its effect on finding analogous designs that, in this case, have similar pairs of functions and flows in their functional models. Since literature has shown that the types of designs presented can impact their effectiveness in aiding the design process, this work intends to spur further consideration of the impact of using different similarity measures when assessing design similarity computationally.
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Marquez-Navarrete, Zelzin M., and Guillermo B. Morales-Luna. "Inferring Functional Dependencies through Similarity Functions in a Crime Database." In 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE, 2019. http://dx.doi.org/10.1109/iceee.2019.8884536.

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Guntly, Lisa M., Jennifer L. Leopold, and Anne M. Maglia. "Determining Domain Similarity and Domain-Protein Similarity Using Functional Similarity Measurements of Gene Ontology Terms." In 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering. IEEE, 2007. http://dx.doi.org/10.1109/bibe.2007.4375717.

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Usgurlu, Burak, Ozden Ozcan Top, Erdir Ungan, and Onur Demirors. "A Clustering Based Functional Similarity Measurement Approach." In 2010 36th EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA). IEEE, 2010. http://dx.doi.org/10.1109/seaa.2010.51.

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Nagar, Anurag, Hisham Al-Mubaid, and Said Bettayeb. "Computing gene functional similarity using combined graphs." In the 27th Annual ACM Symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2245276.2231995.

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Higdon, Roger, Brenton Louie, and Eugene Kolker. "Modeling sequence and function similarity between proteins for protein functional annotation." In the 19th ACM International Symposium. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1851476.1851548.

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Visconti, Alessia, Francesca Cordero, Marco Botta, and Raffaele A. Calogero. "Gene Ontology Rewritten for Computing Gene Functional Similarity." In 2010 International Conference on Complex, Intelligent and Software Intensive Systems (CISIS). IEEE, 2010. http://dx.doi.org/10.1109/cisis.2010.30.

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Ahn, Hongryul, Seunghyun Son, and Sun Kim. "DeepFunNet: Deep Learning for Gene Functional Similarity Network Construction." In 2019 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2019. http://dx.doi.org/10.1109/bigcomp.2019.8679374.

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Reports on the topic "Functional similarity"

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Meyer, Jack, and Robert Rasche. Kolmogorov-Smirnov Tests For Distribution Function Similarity With Applications To Portfolios of Common Stock. Cambridge, MA: National Bureau of Economic Research, March 1989. http://dx.doi.org/10.3386/t0076.

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Pettit, Chris, and D. Wilson. A physics-informed neural network for sound propagation in the atmospheric boundary layer. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41034.

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We describe what we believe is the first effort to develop a physics-informed neural network (PINN) to predict sound propagation through the atmospheric boundary layer. PINN is a recent innovation in the application of deep learning to simulate physics. The motivation is to combine the strengths of data-driven models and physics models, thereby producing a regularized surrogate model using less data than a purely data-driven model. In a PINN, the data-driven loss function is augmented with penalty terms for deviations from the underlying physics, e.g., a governing equation or a boundary condition. Training data are obtained from Crank-Nicholson solutions of the parabolic equation with homogeneous ground impedance and Monin-Obukhov similarity theory for the effective sound speed in the moving atmosphere. Training data are random samples from an ensemble of solutions for combinations of parameters governing the impedance and the effective sound speed. PINN output is processed to produce realizations of transmission loss that look much like the Crank-Nicholson solutions. We describe the framework for implementing PINN for outdoor sound, and we outline practical matters related to network architecture, the size of the training set, the physics-informed loss function, and challenge of managing the spatial complexity of the complex pressure.
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Asenath-Smith, Emily, Emma Ambrogi, Lee Moores, Stephen Newman, and Jonathon Brame. Leveraging chemical actinometry and optical radiometry to reduce uncertainty in photochemical research. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42080.

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Subtle aspects of illumination sources and their characterization methods can introduce significant uncertainty into the data gathered from light-activated experiments, limiting their reproducibility and technology transition. Degradation kinetics of methyl orange (MO) and carbamazepine (CM) under illumination with TiO₂ were used as a case study for investigating the role of incident photon flux on photocatalytic degradation rates. Valerophenone and ferrioxalate actinometry were paired with optical radiometry in three different illumination systems: xenon arc (XE), tungsten halogen (W-H), and UV fluorescent (UV-F). Degradation rate constants for MO and CM varied similarly among the three light systems as k W-H < kiv-F < kXE, implying the same relative photon flux emission by each light. However, the apparent relative photon flux emitted by the different lights varied depending on the light characterization method. This discrepancy is shown to be caused by the spectral distribution present in light emission profiles, as well as absorption behavior of chemical actinometers and optical sensors. Data and calculations for the determination of photon flux from chemical and calibrated optical light characterization is presented, allowing us to interpret photo-degradation rate constants as a function of incident photon flux. This approach enabled the derivation of a calibrated ‘rate-flux’ metric for evaluating and translating data from photocatalysis studies.
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Chou, Roger, Rongwei Fu, Tracy Dana, Miranda Pappas, Erica Hart, and Kimberly M. Mauer. Interventional Treatments for Acute and Chronic Pain: Systematic Review. Agency for Healthcare Research and Quality (AHRQ), September 2021. http://dx.doi.org/10.23970/ahrqepccer247.

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Objective. To evaluate the benefits and harms of selected interventional procedures for acute and chronic pain that are not currently covered by the Centers for Medicare & Medicaid Services (CMS) but are relevant for and have potential utility for use in the Medicare population, or that are covered by CMS but for which there is important uncertainty or controversy regarding use. Data sources. Electronic databases (Ovid® MEDLINE®, PsycINFO®, the Cochrane Central Register of Controlled Trials, and the Cochrane Database of Systematic Reviews) to April 12, 2021, reference lists, and submissions in response to a Federal Register notice. Review methods. Using predefined criteria and dual review, we selected randomized controlled trials (RCTs) for 10 interventional procedures and conditions that evaluated pain, function, health status, quality of life, medication use, and harms. Random effects meta-analysis was conducted for vertebral compression fracture; otherwise, outcomes were synthesized qualitatively. Effects were classified as small, moderate, or large using previously defined criteria. Results. Thirty-seven randomized trials (in 48 publications) were included. Vertebroplasty (13 trials) is probably more effective at reducing pain and improving function in older (>65 years of age) patients, but benefits are small (less than 1 point on a 10-point pain scale). Benefits appear smaller (but still present) in sham-controlled (5 trials) compared with usual care controlled trials (8 trials) and larger in trials of patients with more acute symptoms; however, testing for subgroup effects was limited by imprecision. Vertebroplasty is probably not associated with increased risk of incident vertebral fracture (10 trials). Kyphoplasty (2 trials) is probably more effective than usual care for pain and function in older patients with vertebral compression fracture at up to 1 month (moderate to large benefits) and may be more effective at >1 month to ≥1 year (small to moderate benefits) but has not been compared against sham therapy. Evidence on kyphoplasty and risk of incident fracture was conflicting. In younger (below age for Medicare eligibility) populations, cooled radiofrequency denervation for sacroiliac pain (2 trials) is probably more effective for pain and function versus sham at 1 and 3 months (moderate to large benefits). Cooled radiofrequency for presumed facet joint pain may be similarly effective versus conventional radiofrequency, and piriformis injection with corticosteroid for piriformis syndrome may be more effective than sham injection for pain. For the other interventional procedures and conditions addressed, evidence was too limited to determine benefits and harms. Conclusions. Vertebroplasty is probably effective at reducing pain and improving function in older patients with vertebral compression fractures; benefits are small but similar to other therapies recommended for pain. Evidence was too limited to separate effects of control type and symptom acuity on effectiveness of vertebroplasty. Kyphoplasty has not been compared against sham but is probably more effective than usual care for vertebral compression fractures in older patients. In younger populations, cooled radiofrequency denervation is probably more effective than sham for sacroiliac pain. Research is needed to determine the benefits and harms of the other interventional procedures and conditions addressed in this review.
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Chou, Roger, Jesse Wagner, Azrah Y. Ahmed, Ian Blazina, Erika Brodt, David I. Buckley, Tamara P. Cheney, et al. Treatments for Acute Pain: A Systematic Review. Agency for Healthcare Research and Quality (AHRQ), December 2020. http://dx.doi.org/10.23970/ahrqepccer240.

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Objectives. To evaluate the effectiveness and comparative effectiveness of opioid, nonopioid pharmacologic, and nonpharmacologic therapy in patients with specific types of acute pain, including effects on pain, function, quality of life, adverse events, and long-term use of opioids. Data sources. Electronic databases (Ovid® MEDLINE®, PsycINFO®, Embase®, the Cochrane Central Register of Controlled Trials, and the Cochrane Database of Systematic Reviews) to August 2020, reference lists, and a Federal Register notice. Review methods. Using predefined criteria and dual review, we selected randomized controlled trials (RCTs) of outpatient therapies for eight acute pain conditions: low back pain, neck pain, other musculoskeletal pain, neuropathic pain, postoperative pain following discharge, dental pain (surgical or nonsurgical), pain due to kidney stones, and pain due to sickle cell disease. Meta-analyses were conducted on pharmacologic therapy for dental pain and kidney stone pain, and likelihood of repeat or rescue medication use and adverse events. The magnitude of effects was classified as small, moderate, or large using previously defined criteria, and strength of evidence was assessed. Results. One hundred eighty-three RCTs on the comparative effectiveness of therapies for acute pain were included. Opioid therapy was probably less effective than nonsteroidal anti-inflammatory drugs (NSAIDs) for surgical dental pain and kidney stones, and might be similarly effective as NSAIDs for low back pain. Opioids and NSAIDs were more effective than acetaminophen for surgical dental pain, but opioids were less effective than acetaminophen for kidney stone pain. For postoperative pain, opioids were associated with increased likelihood of repeat or rescue analgesic use, but effects on pain intensity were inconsistent. Being prescribed an opioid for acute low back pain or postoperative pain was associated with increased likelihood of use of opioids at long-term followup versus not being prescribed, based on observational studies. Heat therapy was probably effective for acute low back pain, spinal manipulation might be effective for acute back pain with radiculopathy, acupressure might be effective for acute musculoskeletal pain, an opioid might be effective for acute neuropathic pain, massage might be effective for some types of postoperative pain, and a cervical collar or exercise might be effective for acute neck pain with radiculopathy. Most studies had methodological limitations. Effect sizes were primarily small to moderate for pain, the most commonly evaluated outcome. Opioids were associated with increased risk of short-term adverse events versus NSAIDs or acetaminophen, including any adverse event, nausea, dizziness, and somnolence. Serious adverse events were uncommon for all interventions, but studies were not designed to assess risk of overdose, opioid use disorder, or long-term harms. Evidence on how benefits or harms varied in subgroups was lacking. Conclusions. Opioid therapy was associated with decreased or similar effectiveness as an NSAID for some acute pain conditions, but with increased risk of short-term adverse events. Evidence on nonpharmacological therapies was limited, but heat therapy, spinal manipulation, massage, acupuncture, acupressure, a cervical collar, and exercise were effective for specific acute pain conditions. Research is needed to determine the comparative effectiveness of therapies for sickle cell pain, acute neuropathic pain, neck pain, and management of postoperative pain following discharge; effects of therapies for acute pain on non-pain outcomes; effects of therapies on long-term outcomes, including long-term opioid use; and how benefits and harms of therapies vary in subgroups.
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