Relevant bibliographies by topics / Uncertain sequences

Academic literature on the topic 'Uncertain sequences'

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Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "Uncertain sequences"

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Das, B., P. Debnath, and B. C. Tripathy. "On statistically convergent complex uncertain sequences." Carpathian Mathematical Publications 14, no. 1 (June 17, 2022): 135–46. http://dx.doi.org/10.15330/cmp.14.1.135-146.

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In this paper, we extend the study of statistical convergence of complex uncertain sequences in a given uncertainty space. We produce the relation between convergence and statistical convergence in an uncertain environment. We also initiate statistically Cauchy complex uncertain sequence to prove that a complex uncertain sequence is statistically convergent if and only if it is statistically Cauchy. We further characterize a statistically convergent complex uncertain sequence via boundedness and density operator.
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Datta, Debasish, and Binod Chandra Tripathy. "Convergence of Complex Uncertain Double Sequences." New Mathematics and Natural Computation 16, no. 03 (November 2020): 447–59. http://dx.doi.org/10.1142/s1793005720500271.

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Complex uncertain variables are measurable functions from an uncertainty space to the set of complex numbers and are used to model complex uncertain quantities. This paper introduces the convergence concepts of convergence almost surely (a.s.), convergence in measure, convergence in mean, convergence in distribution and convergence uniformly almost surely complex uncertain double sequences. In addition, relationships among the introduced classes of sequences have been introduced.
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Tripathy, Binod Chandra, and Pankaj Kumar Nath. "Statistical Convergence of Complex Uncertain Sequences." New Mathematics and Natural Computation 13, no. 03 (September 28, 2017): 359–74. http://dx.doi.org/10.1142/s1793005717500090.

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Complex uncertain variables are measurable functions from an uncertainty space to the set of complex numbers and are used to model complex uncertain quantities. This paper introduces the statistical convergence concepts of complex uncertain sequences: statistical convergence almost surely (a.s.), statistical convergence in measure, statistical convergence in mean, statistical convergence in distribution and statistical convergence uniformly almost surely (u.a.s.) In addition, decomposition theorems and relationships among them are discussed.
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Raj, Kuldip, Sonali Sharma, and Mohammad Mursaleen. "Almost λ-Statistical Convergence of Complex Uncertain Sequences." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 30, no. 05 (October 2022): 795–811. http://dx.doi.org/10.1142/s0218488522500234.

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In the present article, we introduced almost [Formula: see text]-statistical convergence of complex uncertain sequences in all five aspects of uncertainty viz., almost surely, mean, measure, distribution and uniformly almost surely. Further, with the aid of interesting examples and diagram we investigated some interrelationships among these uncertain complex sequences.
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Chen, Xiumei, Yufu Ning, and Xiao Wang. "Convergence of complex uncertain sequences." Journal of Intelligent & Fuzzy Systems 30, no. 6 (April 30, 2016): 3357–66. http://dx.doi.org/10.3233/ifs-152083.

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You, Cuilian, and Lijuan Yan. "Convergence Properties for Uncertain Sequence." Mathematical Problems in Engineering 2017 (2017): 1–6. http://dx.doi.org/10.1155/2017/6307439.

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Uncertainty theory is a branch of axiomatic mathematics for modeling belief degrees. Since convergence for uncertain sequences plays a very important role in uncertainty theory and applications, we investigated some properties of convergence in measure in this paper. In addition, some theorems and properties of convergence in p-distance were studied.
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Das, Birojit, Binod Chandra Tripathy, and Piyali Debnath. "Some results on statistically convergent triple sequences in an uncertainty space." Annals of the University of Craiova, Mathematics and Computer Science Series 49, no. 1 (June 24, 2022): 120–34. http://dx.doi.org/10.52846/ami.v49i1.1520.

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The concept of statistical convergence plays a very prominent role in the study of sequence spaces. In this treatise, we extend the research on different types of statistical convergence viz., statistical convergence in mean, in measure, in distribution, in almost surely and with respect to uniformly almost surely of complex uncertain triple sequences in a given uncertainty space. We emphasize to focus on characterizing statistical convergence of complex uncertain triple sequence in some extent. Moreover, we initiate the notion of complex uncertain Cauchy triple sequence and establish the interconnection of it with a statistically convergent triple sequence.
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Wu, Jianrong, and Yang Xia. "Convergence Theorems for Uncertain Variable Sequences." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 22, no. 04 (August 2014): 627–39. http://dx.doi.org/10.1142/s0218488514500329.

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For uncertain variable sequences, conditions of convergences such as Cauchy convergence in measure, convergence almost surely and convergence uniformly almost surely are given. Consequently, the relationships among convergences of uncertain variable sequences are shown. These results have not been proposed in literature so far.
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You, Cuilian. "On the convergence of uncertain sequences." Mathematical and Computer Modelling 49, no. 3-4 (February 2009): 482–87. http://dx.doi.org/10.1016/j.mcm.2008.07.007.

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Saha, Sangeeta, Binod Chandra Tripathy, and Santanu Roy. "Matrix map between complex uncertain sequences." Annals of the University of Craiova - Mathematics and Computer Science Series 48, no. 1 (June 30, 2021): 10–17. http://dx.doi.org/10.52846/ami.v48i1.1254.

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In this article we define matrix maps between complex uncertain sequences. We introduce the notion of bounded sequences of complex uncertain sequence for almost sure, mean, measure and distribution. We introduce the limitation method for different notion of boundedness of sequence of complex uncertain variables and establish relation between the different notions. The necessary condition for a matrix map to be a limitation method is established.
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Dissertations / Theses on the topic "Uncertain sequences"

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Howing, Frank. "Analysis and measurement of motion in 2D medical imaging sequences exploiting uncertain knowledge." Thesis, University of South Wales, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393062.

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BERNARDINI, GIULIA. "COMBINATORIAL METHODS FOR BIOLOGICAL DATA." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2021. http://hdl.handle.net/10281/305220.

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Lo scopo di questa tesi è di elaborare e analizzare metodi rigorosi dal punto di vista matematico per l’analisi di due tipi di dati biologici: dati relativi a pan-genomi e filogenesi. Con il termine “pan-genoma” si indica, in generale, un insieme di sequenze genomiche strettamente correlate (tipicamente appartenenti a individui della stessa specie) che si vogliano utilizzare congiuntamente come sequenze di riferimento per un’intera popolazione. Una filogenesi, invece, rappresenta le relazioni evolutive in un gruppo di entità, che siano esseri viventi, geni, lingue naturali, manoscritti antichi o cellule tumorali. Con l’eccezione di uno dei risultati presentati in questa tesi, relativo all’analisi di filogenesi tumorali, il taglio della dissertazione è prevalentemente teorico: lo scopo è studiare gli aspetti combinatori dei problemi affrontati, più che fornire soluzioni efficaci in pratica. Una conoscenza approfondita degli aspetti teorici di un problema, del resto, permette un'analisi matematicamente rigorosa delle soluzioni già esistenti, individuandone i punti deboli e quelli di forza, fornendo preziosi dettagli sul loro funzionamento e aiutando a decidere quali problemi vadano ulteriormente investigati. Oltretutto, è spesso il caso che nuovi risultati teorici (algoritmi, strutture dati o riduzioni ad altri problemi più noti) si possano direttamente applicare o adattare come soluzione ad un problema pratico, o come minimo servano ad ispirare lo sviluppo di nuovi metodi efficaci in pratica. La prima parte della tesi è dedicata a nuovi metodi per eseguire delle operazioni fondamentali su un testo elastico-degenerato, un oggetto computazionale che codifica in maniera compatta un insieme di testi simili tra loro, come, ad esempio, un pan-genoma. Nello specifico, si affrontano il problema di cercare una sequenza di lettere in un testo elastico-degenerato, sia in maniera esatta che tollerando un numero prefissato di errori, e quello di confrontare due testi degenerati. Nella seconda parte si considerano sia filogenesi tumorali, che ricostruiscono per l'appunto l'evoluzione di un tumore, sia filogenesi "classiche", che rappresentano, ad esempio, la storia evolutiva delle specie viventi. In particolare, si presentano nuove tecniche per confrontare due o più filogenesi tumorali, necessarie per valutare i risultati di diversi metodi che ricostruiscono le filogenesi stesse, e una nuova e più efficiente soluzione a un problema di lunga data relativo a filogenesi "classiche", consistente nel determinare se sia possibile sistemare, in presenza di dati mancanti, un insieme di specie in un albero filogenetico che abbia determinate proprietà.
The main goal of this thesis is to develop new algorithmic frameworks to deal with (i) a convenient representation of a set of similar genomes and (ii) phylogenetic data, with particular attention to the increasingly accurate tumor phylogenies. A “pan-genome” is, in general, any collection of genomic sequences to be analyzed jointly or to be used as a reference for a population. A phylogeny, in turn, is meant to describe the evolutionary relationships among a group of items, be they species of living beings, genes, natural languages, ancient manuscripts or cancer cells. With the exception of one of the results included in this thesis, related to the analysis of tumor phylogenies, the focus of the whole work is mainly theoretical, the intent being to lay firm algorithmic foundations for the problems by investigating their combinatorial aspects, rather than to provide practical tools for attacking them. Deep theoretical insights on the problems allow a rigorous analysis of existing methods, identifying their strong and weak points, providing details on how they perform and helping to decide which problems need to be further addressed. In addition, it is often the case where new theoretical results (algorithms, data structures and reductions to other well-studied problems) can either be directly applied or adapted to fit the model of a practical problem, or at least they serve as inspiration for developing new practical tools. The first part of this thesis is devoted to methods for handling an elastic-degenerate text, a computational object that compactly encodes a collection of similar texts, like a pan-genome. Specifically, we attack the problem of matching a sequence in an elastic-degenerate text, both exactly and allowing a certain amount of errors, and the problem of comparing two degenerate texts. In the second part we consider both tumor phylogenies, describing the evolution of a tumor, and “classical” phylogenies, representing, for instance, the evolutionary history of the living beings. In particular, we present new techniques to compare two or more tumor phylogenies, needed to evaluate the results of different inference methods, and we give a new, efficient solution to a longstanding problem on “classical” phylogenies: to decide whether, in the presence of missing data, it is possible to arrange a set of species in a phylogenetic tree that enjoys specific properties.
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Touati, Sarah. "Complexity, aftershock sequences, and uncertainty in earthquake statistics." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/6224.

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Earthquake statistics is a growing field of research with direct application to probabilistic seismic hazard evaluation. The earthquake process is a complex spatio-temporal phenomenon, and has been thought to be an example of the self-organised criticality (SOC) paradigm, in which events occur as cascades on a wide range of sizes, each determined by fine details of the rupture process. As a consequence, deterministic prediction of specific event sizes, locations, and times may well continue to remain elusive. However, probabilistic forecasting, based on statistical patterns of occurrence, is a much more realistic goal at present, and is being actively explored and tested in global initiatives. This thesis focuses on the temporal statistics of earthquake populations, exploring the uncertainties in various commonly-used procedures for characterising seismicity and explaining the origins of these uncertainties. Unlike many other SOC systems, earthquakes cluster in time and space through aftershock triggering. A key point in the thesis is to show that the earthquake inter-event time distribution is fundamentally bimodal: it is a superposition of a gamma component from correlated (co-triggered) events and an exponential component from independent events. Volcano-tectonic earthquakes at Italian and Hawaiian volcanoes exhibit a similar bimodality, which in this case, may arise as the sum of contributions from accelerating and decelerating rates of events preceding and succeeding volcanic activity. Many authors, motivated by universality in the scaling laws of critical point systems, have sought to demonstrate a universal data collapse in the form of a gamma distribution, but I show how this gamma form is instead an emergent property of the crossover between the two components. The relative size of these two components depends on how the data is selected, so there is no universal form. The mean earthquake rate—or, equivalently, inter-event time—for a given region takes time to converge to an accurate value, and it is important to characterise this sampling uncertainty. As a result of temporal clustering and non-independence of events, the convergence is found to be much slower than the Gaussian rate of the central limit theorem. The rate of this convergence varies systematically with the spatial extent of the region under consideration: the larger the region, the closer to Gaussian convergence. This can be understood in terms of the increasing independence of the inter-event times with increasing region size as aftershock sequences overlap in time to a greater extent. On the other hand, within this high-overlap regime, a maximum likelihood inversion of parameters for an epidemic-type statistical model suffers from lower accuracy and a systematic bias; specifically, the background rate is overestimated. This is because the effect of temporal overlapping is to mask the correlations and make the time series look more like a Poisson process of independent events. This is an important result with practical relevance to studies using inversions, for example, to infer temporal variations in background rate for time-dependent hazard estimation.
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Hildebrandt, Jordan. "Calibrating M-Sequence and C-Sequence GPTSs with uncertainty quantification and cyclostratigraphy." Wittenberg University Honors Theses / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wuhonors1337876096.

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Herman, Joseph L. "Multiple sequence analysis in the presence of alignment uncertainty." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:88a56d9f-a96e-48e3-b8dc-a73f3efc8472.

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Sequence alignment is one of the most intensely studied problems in bioinformatics, and is an important step in a wide range of analyses. An issue that has gained much attention in recent years is the fact that downstream analyses are often highly sensitive to the specific choice of alignment. One way to address this is to jointly sample alignments along with other parameters of interest. In order to extend the range of applicability of this approach, the first chapter of this thesis introduces a probabilistic evolutionary model for protein structures on a phylogenetic tree; since protein structures typically diverge much more slowly than sequences, this allows for more reliable detection of remote homologies, improving the accuracy of the resulting alignments and trees, and reducing sensitivity of the results to the choice of dataset. In order to carry out inference under such a model, a number of new Markov chain Monte Carlo approaches are developed, allowing for more efficient convergence and mixing on the high-dimensional parameter space. The second part of the thesis presents a directed acyclic graph (DAG)-based approach for representing a collection of sampled alignments. This DAG representation allows the initial collection of samples to be used to generate a larger set of alignments under the same approximate distribution, enabling posterior alignment probabilities to be estimated reliably from a reasonable number of samples. If desired, summary alignments can then be generated as maximum-weight paths through the DAG, under various types of loss or scoring functions. The acyclic nature of the graph also permits various other types of algorithms to be easily adapted to operate on the entire set of alignments in the DAG. In the final part of this work, methodology is introduced for alignment-DAG-based sequence annotation using hidden Markov models, and RNA secondary structure prediction using stochastic context-free grammars. Results on test datasets indicate that the additional information contained within the DAG allows for improved predictions, resulting in substantial gains over simply analysing a set of alignments one by one.
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Herner, Alan Eugene. "Measuring Uncertainty of Protein Secondary Structure." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1302305875.

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Theorell, Axel. "Uncertainty-aware Tracking of Single Bacteria over Image Sequences with Low Frame Rate." Thesis, KTH, Optimeringslära och systemteori, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-173801.

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In single-cell analysis, the physiologic states of individual cells are studied. In some studies, the subject of interest is the development over time of some cell characteristic. To obtain time-resolved single-cell data, one possibility is to conduct an experiment on a cell population and make a sequence of images of the population over the course of the experiment. If a mapping is at hand, which determines which cell it is that is the cause of each measured cell in the image sequence, time resolved single-cell data can be extracted. Such a mapping is called a lineage tree, and the process of creating it is called tracking. One aim of this work is to develop a tracking algorithm that incorporates organism specific knowledge, such as average division time, in the tracking process. With respect to this aim, a Bayesian model that incorporates biological knowledge is derived, with which every hypothetical lineage tree can be assigned a probability. Additionally, two Monte Carlo algorithms are developed, that approximate the probability distribution of lineage trees given by the Bayesian model. When an approximate distribution is known, for example the most likely lineage tree can be extracted and used. In many cases, the information provided to an automatic tracking algorithm is insufficient for the algorithm to find the gold standard lineage tree. In these cases, a possibility is to construct the gold standard lineage tree by manual correction of the lineage tree that has been provided by the tracking algorithm. A second aim of this work is to provide a confidence to every assignment in a lineage tree, in order to give the person doing manual corrections useful information about what assignments to change. Such a confidence is provided by the Monte Carlo tracking methods developed in this work.
I enskild-cell analys studeras de fysiologiska tillståndet hos enskilda celler. I vissa studier är man intresserad av hur någon cellegenskap utvecklas över tid. Ett sätt att generera tidsupplöst data på enskild-cellnivå är att utföra ett experiment med en cellpopulation och avbilda den med mikroskop med jämna mellanrum. Med hjälp av en avbildning som beskriver vilken cell i experiment det är som ger upphov till vilken uppmätt cell i bildsekvensen, kan sedan enskild-cell data tillgås. En sådan avbildning kallas ett stamträd (lineage tree), och processen att bestämma stamträdet kallas tracking. En målsättning med detta arbete är att utveckla en trackingalgoritm som använder organismspecifik kunskap, såsom organismens genomsnittliga delningstid, i trackingprocessen. Med denna målsättning i hänseende härleds en bayesiansk modell med vilken varje stamträd kan tillskrivas en sannolikhet, och som kan ta hänsyn till biologisk fakta när detta sker. Därtill utvecklas två Monte Carlo algoritmer som approximerar sannolikhetsfördelningen av stamträd som härrör ur den bayesianska modellen. När en uppskattad fördelning är känd kan t ex det mest sannolika stamträdet i fördelningen användas för enskild-cell analys. I många fall är informationen som en automatisk trackingalgoritm har till hands inte tillräcklig för att algoritmen ska kunna producera gold standard stamträdet. I dessa fall kan det vara befogat att konstruera gold standard stamträdet genom att göra manuella korrektioner på ett stamträd som tagits fram automatiskt med en algoritm. En andra målsättning med detta arbete är att införa ett förtroendemått för enskilda länkar i ett stamträd. Detta förtroendemått ska göra det enklare för personen som gör manuella korrektioner att avgöra ifall en länk i ett stamträd behöver korrigeras eller ej. Ett sådant förtroendemått införs, och de två Monte Carlo algoritmerna som utvecklas i detta arbete tillskriver ett förtroende för varje länk i de stamträd som de levererar.
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Repo, T. (Tapio). "Modeling of structured 3-D environments from monocular image sequences." Doctoral thesis, University of Oulu, 2002. http://urn.fi/urn:isbn:9514268571.

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Abstract The purpose of this research has been to show with applications that polyhedral scenes can be modeled in real time with a single video camera. Sometimes this can be done very efficiently without any special image processing hardware. The developed vision sensor estimates its three-dimensional position with respect to the environment and models it simultaneously. Estimates become recursively more accurate when objects are approached and observed from different viewpoints. The modeling process starts by extracting interesting tokens, like lines and corners, from the first image. Those features are then tracked in subsequent image frames. Also some previously taught patterns can be used in tracking. A few features in the same image are extracted. By this way the processing can be done at a video frame rate. New features appearing can also be added to the environment structure. Kalman filtering is used in estimation. The parameters in motion estimation are location and orientation and their first derivates. The environment is considered a rigid object in respect to the camera. The environment structure consists of 3-D coordinates of the tracked features. The initial model lacks depth information. The relational depth is obtained by utilizing facts such as closer points move faster on the image plane than more distant ones during translational motion. Additional information is needed to obtain absolute coordinates. Special attention has been paid to modeling uncertainties. Measurements with high uncertainty get less weight when updating the motion and environment model. The rigidity assumption is utilized by using shapes of a thin pencil for initial model structure uncertainties. By observing continuously motion uncertainties, the performance of the modeler can be monitored. In contrast to the usual solution, the estimations are done in separate state vectors, which allows motion and 3-D structure to be estimated asynchronously. In addition to having a more distributed solution, this technique provides an efficient failure detection mechanism. Several trackers can estimate motion simultaneously, and only those with the most confident estimates are allowed to update the common environment model. Tests showed that motion with six degrees of freedom can be estimated in an unknown environment. The 3-D structure of the environment is estimated simultaneously. The achieved accuracies were millimeters at a distance of 1-2 meters, when simple toy-scenes and more demanding industrial pallet scenes were used in tests. This is enough to manipulate objects when the modeler is used to offer visual feedback.
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Hanson-Smith, Victor 1981. "Error and Uncertainty in Computational Phylogenetics." Thesis, University of Oregon, 2011. http://hdl.handle.net/1794/12151.

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xi, 119 p. : ill. (some col.)
The evolutionary history of protein families can be difficult to study because necessary ancestral molecules are often unavailable for direct observation. As an alternative, the field of computational phylogenetics has developed statistical methods to infer the evolutionary relationships among extant molecular sequences and their ancestral sequences. Typically, the methods of computational phylogenetic inference and ancestral sequence reconstruction are combined with other non-computational techniques in a larger analysis pipeline to study the inferred forms and functions of ancient molecules. Two big problems surrounding this analysis pipeline are computational error and statistical uncertainty. In this dissertation, I use simulations and analysis of empirical systems to show that phylogenetic error can be reduced by using an alternative search heuristic. I then use similar methods to reveal the relationship between phylogenetic uncertainty and the accuracy of ancestral sequence reconstruction. Finally, I provide a case-study of a molecular machine in yeast, to demonstrate all stages of the analysis pipeline. This dissertation includes previously published co-authored material.
Committee in charge: John Conery， Chair； Daniel Lowd， Member； Sara Douglas， Member； Joseph W. Thornton， Outside Member
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Taylor, Josh Ellis. "The Christchurch earthquake sequence : government decision-making and confidence in the face of uncertainty." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/45214.

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Natural disasters can create significant uncertainty for individuals and entire cities. This thesis examines the role of government decision-making and uncertainty in disaster recovery, focusing on a case study of post-earthquake Christchurch, New Zealand. Beginning in September 2010, Christchurch has been shaken by a devastating sequence of earthquakes, stretching over 18 months. The most severe event took place on February 22, 2011, taking the lives of 185 people and causing significant damage throughout the city. Building damage has forced the closure of portions of the Central Business District (CBD) for over 2 years as of July 2013, and over 7,000 residential properties have been purchased by the government due to land damage. The duration of the earthquake sequence, combined with the scale of damage, has created significant uncertainty for the city, specifically for the future of the CBD and the local property market. This thesis seeks to examine how government decision-making can incentivize a community of self-interested actors facing uncertainty to pull together, and create an outcome that benefits all of them. A conceptual framework is developed through which three key government decisions in the Christchurch case are analyzed in terms of how uncertainty has been managed. The three decisions are: 1) maintaining a Cordon around the CBD, 2) Establishing the Christchurch Central Development Unit to plan the rebuild of the CBD, and 3) Establishing a system of zoning to classify land damage for residential properties. A detailed description of the earthquake sequence and context is also provided. The primary research for this thesis was collected during 23 semi-structured key informant interviews conducted in New Zealand in May of 2012. Interviewees were selected with expertise in a range of different recovery issues, as well as different roles in the recovery, from decision-makers to those implementing the decisions, and those impacted. In conclusion, this thesis argues that uncertainty has been a major driver in government decision-making, and that those decisions have had a significant impact in terms of reducing uncertainty. In particular, decisions have addressed uncertainty in terms of the residential property market, and the future of the CBD.
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Books on the topic "Uncertain sequences"

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Höwing, Frank. Analysis and measurement of motion in 2D medical imaging sequences exploiting uncertain knowledge. 2001.

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Walsh, Richard A. Siblings with Instability. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190607555.003.0015.

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Over the past 5 years, there has been a shift in the approach to searching for a genetic diagnosis in familial ataxic syndromes. Whereas in the past, a limited but expensive search through a selection of commercially available genes using Sanger sequencing was performed, there is now widespread availability of gene panels utilizing next-generation sequencing techniques. This is an efficient and powerful approach that may achieve a diagnosis in more than 30% of patients with a familial ataxia that remain undiagnosed. However, accurate phenotyping remains critical to allow interpretation of sequence variants of uncertain significance, to identify biomarkers that may be useful to monitor future therapies, and to assist with the identification of underlying pathophysiology.
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Flinter, Frances. Ethical aspects of genetic testing. Edited by Neil Turner. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0301_update_001.

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The increasing availability of genetic tests is transforming health care. Patients can benefit from earlier, more precise diagnosis and sometimes tailor-made treatment; their relatives can be offered pre-symptomatic, predictive tests and carrier tests. Physicians must balance confidentiality with duty to other individuals, and are responsible for using genetic tests for the benefit of patients in an ethical way. An offer of testing must balance potential additional benefit from potential downsides of testing including psychological effects, risk of error, continuing uncertainty, and cost. The ability to do multiple tests on many genes, even to sequence the whole genome, is rapidly approaching, and mainstreaming of tests means that geneticists are not necessarily involved. Further work and thinking needs to inform medical ethics in this area.
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Book chapters on the topic "Uncertain sequences"

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Saha, Sangeeta, and Binod Chandra Tripathy. "On Complex Uncertain Sequences Defined by Orlicz Function." In Approximation Theory, Sequence Spaces and Applications, 221–41. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6116-8_12.

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Barton, Carl, Chang Liu, and Solon P. Pissis. "On-Line Pattern Matching on Uncertain Sequences and Applications." In Combinatorial Optimization and Applications, 547–62. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48749-6_40.

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Cao, Xiao-Qin, Jia Zeng, and Hong Yan. "Modeling Uncertain Speech Sequences Using Type-2 Fuzzy Hidden Markov Models." In Advances in Multimedia Information Processing – PCM 2007, 315–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-77255-2_34.

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Liolios, Angelos A. "Cultural Heritage Structures Strengthened by Ties Under Seismic Sequences and Uncertain Input Parameters: A Computational Approach." In Communications in Computer and Information Science, 188–99. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12960-6_13.

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Ben Zakour, Asma, Sofian Maabout, Mohamed Mosbah, and Marc Sistiaga. "Uncertainty Interval Temporal Sequences Extraction." In Information Systems, Technology and Management, 259–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29166-1_23.

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Stall Sikora, Celso Gustavo. "Controlling Production Sequences Using Buffers." In Assembly-Line Balancing under Demand Uncertainty, 133–59. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-36282-9_6.

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Cattani, C. "Uncertainty and Symmetries in DNA Sequences." In IFMBE Proceedings, 359–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32183-2_88.

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Sun, Zi-Yun, Ming-Che Tsai, and Hsiao-Ping Tsai. "Mining Uncertain Sequence Data on Hadoop Platform." In Lecture Notes in Computer Science, 204–15. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13186-3_20.

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Wang, Lei, and Piotr Koniusz. "Uncertainty-DTW for Time Series and Sequences." In Lecture Notes in Computer Science, 176–95. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19803-8_11.

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Wan, Li. "Discovering Probabilistic Sequential Pattern in Uncertain Sequence Database." In Communications in Computer and Information Science, 125–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21411-0_20.

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Conference papers on the topic "Uncertain sequences"

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Li, Yuxuan, James Bailey, Lars Kulik, and Jian Pei. "Efficient Matching of Substrings in Uncertain Sequences." In Proceedings of the 2014 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2014. http://dx.doi.org/10.1137/1.9781611973440.88.

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Guil, F., and R. Marin. "Extracting Uncertain Temporal Relations from Mined Frequent Sequences." In Thirteenth International Symposium on Temporal Representation and Reasoning. IEEE, 2006. http://dx.doi.org/10.1109/time.2006.14.

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Kadri, Olalekan, and C. I. Ezeife. "Mining uncertain web log sequences with access history probabilities." In the 2011 ACM Symposium. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1982185.1982417.

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Queral, C., J. Mula, J. Gómez-Magán, J. Gil, I. Fernández, E. Meléndez, M. Sánchez-Perea, and J. Hortal. "Application of Integrated Safety Assessment Methodology to Feed and Bleed Sequences." In 2013 21st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icone21-16334.

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As part of the collaboration between Universidad Politécnica de Madrid (UPM), Indizen Technologies and the Spanish Nuclear Safety Council (CSN), the Integrated Safety Assessment (ISA) methodology, developed by the Spanish Nuclear Safety Council (CSN), has been applied to a thermo-hydraulical analysis of Total Loss of Feed Water sequences in a Westinghouse 3-loop PWR. The ISA methodology allows among others obtaining the Damage Domain, i.e., the region of the space of uncertain parametere where certain damage limit is exceeded. Apart of typical uncertain parameters for the physical model, ISA considers operator actuations times (like RCP trip, AFW recovery and begining of Feed & Bleed…) and /or stochastic uncertain phennomena. Given a particular safety limit, several data of every sequence are necessary in order to obtain the damage exceedance frequency of that limit. These data are obtained from the results of the simulations of transients performed with MAAP code. The results show the capability and necessity of the ISA methodology, or similar, in order to obtain accurate results that take into account time uncertainties.
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Gonzalez-Cadelo, J., C. Queral, and J. Montero-Mayorga. "Effects of Break Location and Time Uncertainties in Small-Break and Medium-Break LOCA Sequences With Unavailability of HPSI." In 2013 21st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icone21-16348.

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The Integrated Safety Assessment (ISA) methodology, developed by the Spanish Nuclear Regulatory Body, consists of a dynamic methodology of probabilistic safety assessment. It has been applied to a thermal-hydraulic analysis of small-break and medium-break LOCA sequences without HPSI, for different break locations, in a three-loop PWR. ISA methodology allows to obtain the damage domain, defined as the region of the space of uncertain parameters where the damage condition is exceeded, for each sequence of interest. In this work, damage domain relates two uncertain parameters (starting time of secondary-side depressurization and break size) to damage exceedance condition (PCT > 1477 K). Several damage domains have been obtained, each one for each break location of interest (cold leg, hot leg, vessel upper head and vessel lower head). Simulations have been performed with TRACE v5.0 patch 1 code, and the results show the capability and convenience of ISA methodology, in order to obtain accurate results that take into account time uncertainties.
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Queral, C., L. Mena-Rosell, G. Jiménez Varas, M. Sánchez-Perea, J. Hortal, E. Meléndez, J. Gómez-Magán, J. Gil, and I. Fernández. "Application of Integrated Safety Assessment Methodology to SBO Sequences." In 2013 21st International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/icone21-16332.

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The integrated Safety Assessment (ISA) methodology, developed by the Spanish Nuclear Safety Council (CSN), has been applied to a thermal-hydraulic analysis of PWR Station Blackout (SBO) sequences in the context of the IDPSA (Integrated Deterministic-Probabilistic Safety Assessment) network objectives. The ISA methodology allows obtaining the damage domain (the region of the uncertain parameters space where the damage limit is exceeded) for each sequence of interest as a function of the operator actuations times (recovery of AC). Given a particular safety limit or damage limit, several data of every sequence are necessary in order to obtain the exceedance frequency of that limit. In this application these data are obtained from the results of the simulations performed with MAAP code transients inside each damage domain and the time-density probability distributions of the manual actions. Several damage limits have been taken into account within the analysis: local cladding damage (PCT>1477 K); local fuel melting (T>2499 K); fuel relocation in lower plenum and vessel failure. Therefore, to every one of these damage variables corresponds a different damage domain. The results show the capability and necessity of the ISA methodology, or similar, in order to obtain accurate results that take into account time uncertainties.
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Liao, Hao-yu, Yuhao Chen, Boyi Hu, and Sara Behdad. "Optimization-Based Disassembly Sequence Planning Under Uncertainty for Human-Robot Collaboration." In ASME 2022 17th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/msec2022-85383.

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Abstract Disassembly is an integral part of maintenance, upgrade, and remanufacturing operations to recover end-of-use products. Optimization of disassembly sequences and the capability of robotic technology are crucial for managing the resource-intensive nature of dismantling operations. This study proposes an optimization framework for disassembly sequence planning under uncertainty considering human-robot collaboration. The proposed model combines three attributes: disassembly cost, disassembleability, and safety, to find the optimal path for dismantling a product and assigning each disassembly operation among humans and robots. The multi-attribute utility function has been employed to address uncertainty and make a tradeoff among multiple attributes. The disassembly time reflects the cost of disassembly and is assumed to be an uncertain parameter with a Beta probability density function; the disassembleability evaluates the feasibility of conducting operations by robot; finally, the safety index ensures the safety of human workers in the work environment. The optimization model identifies the best disassembly sequence and makes tradeoffs among multi-attributes. An example of a computer desktop illustrates how the proposed model works. The model identifies the optimal disassembly sequence with less disassembly cost, high disassembleability, and increased safety index while allocating disassembly operations between human and robot. A sensitivity analysis is conducted to show the model’s performance when changing the disassembly cost for the robot.
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Queral, C., L. Mena-Rosell, G. Jimenez, M. Sánchez-Perea, J. Hortal, and J. Gómez-Magán. "Analysis of the Damage Domains of SBO Sequences With RCP Passive Thermal Shutdown." In 2014 22nd International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/icone22-30449.

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The integrated Safety Assessment (ISA) methodology, developed by the Spanish Nuclear Safety Council (CSN), has been applied to a thermal-hydraulic analysis of PWR Station Blackout (SBO) sequences in the context of the IDPSA (Integrated Deterministic-Probabilistic Safety Assessment) network objectives. The ISA methodology allows obtaining the damage domain (the region of the uncertain parameters space where the damage limit is exceeded) for each sequence of interest as a function of the operator actuations times. Given a particular safety limit or damage limit, several data of every sequence are necessary in order to obtain the exceedance frequency of that limit. In this application these data are obtained from the results of the simulations performed with MAAP code transients inside each damage domain and the time-density probability distributions of the manual actions. Damage limits that have been taken into account within this analysis are: local cladding damage (PCT>1477 K); local fuel melting (T>2499 K); fuel relocation in lower plenum and vessel failure. Therefore, to every one of these damage variables corresponds a different damage domain. The operation of the new passive thermal shutdown seals developed by several companies since Fukushima accident is considered in the paper. The results show the capability and necessity of the ISA methodology, or similar, in order to obtain accurate results that take into account time uncertainties.
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Kim, Tae-Uk, In Hee Hwang, and Hyo-Chol Sin. "Optimal Design of Composite Laminate With Uncertainty in Loading and Material Properties Considered." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79251.

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Optimal design of composite laminates with uncertain in-plane loadings and material properties is considered. The stacking sequence is designed to have maximum buckling load based on anti-optimization approach. To consider the above-mentioned uncertain properties, the convex modeling and Monte Carlo simulation techniques are used in calculating objective function. For the stacking sequence optimization, it is used the modified genetic algorithm which handles the discrete ply angles and the constraints easily. Numerical results are given for rectangular laminates of various aspect ratios. The optimal solutions from the deterministic and the stochastic cases are obtained and it is demonstrated the importance of considering uncertainty. The buckling load carried by a deterministic design is much less than the one carried by a design uncertainty considered when both are subjected to uncertain loads. Also, it is examined the effects of the method for considering uncertainty on the optimization process in the light of computational efficiency and reliability of solutions obtained.
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Kim, Tae-Uk, In Hee Hwang, and JaeYeul Shim. "Layup Optimization for Maximum Buckling Load Considering Bounded Uncertainty." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-16228.

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Optimal design of composite laminates with uncertain in-plane loadings and material properties is considered. The stacking sequence is designed to have maximum buckling load based on anti-optimization approach. To consider the above-mentioned uncertain properties, the convex modeling, interval analysis and Monte Carlo simulation techniques are used in calculating objective function. For the stacking sequence optimization, it is used the modified genetic algorithm which handles the discrete ply angles and the constraints easily. Numerical results are given for rectangular laminates of various aspect ratios. The optimal solutions from the deterministic and the stochastic cases are obtained and it is demonstrated the importance of considering uncertainty. The buckling load carried by a deterministic design is much less than the one carried by a design uncertainty considered when both are subjected to uncertain loads. Also, it is examined the effects of the method for considering uncertainty on the optimization process in the light of computational efficiency and reliability of solutions obtained.
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Reports on the topic "Uncertain sequences"

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Zio, Enrico, and Nicola Pedroni. Uncertainty characterization in risk analysis for decision-making practice. Fondation pour une culture de sécurité industrielle, May 2012. http://dx.doi.org/10.57071/155chr.

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This document provides an overview of sources of uncertainty in probabilistic risk analysis. For each phase of the risk analysis process (system modeling, hazard identification, estimation of the probability and consequences of accident sequences, risk evaluation), the authors describe and classify the types of uncertainty that can arise. The document provides: a description of the risk assessment process, as used in hazardous industries such as nuclear power and offshore oil and gas extraction; a classification of sources of uncertainty (both epistemic and aleatory) and a description of techniques for uncertainty representation; a description of the different steps involved in a Probabilistic Risk Assessment (PRA) or Quantitative Risk Assessment (QRA), and an analysis of the types of uncertainty that can affect each of these steps; annexes giving an overview of a number of tools used during probabilistic risk assessment, including the HAZID technique, fault trees and event tree analysis.
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Clark, Todd E., Gergely Ganics, and Elmar Mertens. Constructing fan charts from the ragged edge of SPF forecasts. Federal Reserve Bank of Cleveland, November 2022. http://dx.doi.org/10.26509/frbc-wp-202236.

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We develop a model that permits the estimation of a term structure of both expectations and forecast uncertainty for application to professional forecasts such as the Survey of Professional Forecasters (SPF). Our approach exactly replicates a given data set of predictions from the SPF (or a similar forecast source) without measurement error. Our model captures fixed horizon and fixed-event forecasts, and can accommodate changes in the maximal forecast horizon available from the SPF. The model casts a decomposition of multi-period forecast errors into a sequence of forecast updates that may be partially unobserved, resulting in a multivariate unobserved components model. In our empirical analysis, we provide quarterly term structures of expectations and uncertainty bands. Our preferred specification features stochastic volatility in forecast updates, which improves forecast performance and yields model estimates of forecast uncertainty that vary over time. We conclude by constructing SPF-based fan charts for calendar-year forecasts like those published by the Federal Reserve. Replication files are available at https://github.com/elmarmertens/ClarkGanicsMertensSPFfancharts.
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Joel, Daniel M., Steven J. Knapp, and Yaakov Tadmor. Genomic Approaches for Understanding Virulence and Resistance in the Sunflower-Orobanche Host-Parasite Interaction. United States Department of Agriculture, August 2011. http://dx.doi.org/10.32747/2011.7592655.bard.

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Oroginal Objectives: (i) identify DNA markers linked to the avirulence (Avr) locus and locate the Avr locus through genetic mapping with an inter-race Orobanche cumana population; (ii) develop high-throughput fingerprint DNA markers for genotypingO. cumana races; (iii) identify nucleotide binding domain leucine rich repeat (NB-LRR) genes encoding R proteins conferring resistance to O. cumana in sunflower; (iv) increase the resolution of the chromosomal segment harboring Or₅ and related R genes through genetic and physical mapping in previously and newly developed mapping populations of sunflower; and (v) develop high-throughput DNA markers for rapidly and efficiently identifying and transferring sunflower R genes through marker-assisted selection. Revisions made during the course of project: Following changes in O. cumana race distribution in Israel, the newly arrived virulent race H was chosen for further analysis. HA412-HO, which was primarily chosen as a susceptible sunflower cultivar, was more resistant to the new parasite populations than var. Shemesh, thus we shifted sunflower research into analyzing the resistance of HA412-HO. We exceeded the deliverables for Objectives #3-5 by securing funding for complete physical and high-density genetic mapping of the sunflower genome, in addition to producing a complete draft sequence of the sunflower genome. We discovered limited diversity between the parents of the O. cumana population developed for the mapping study. Hence, the developed DNA marker resources were insufficient to support genetic map construction. This objective was beyond the scale and scope of the funding. This objective is challenging enough to be the entire focus of follow up studies. Background to the topic: O. cumana, an obligate parasitic weed, is one of the most economically important and damaging diseases of sunflower, causes significant yield losses in susceptible genotypes, and threatens production in Israel and many other countries. Breeding for resistance has been crucial for protecting sunflower from O. cumana, and problematic because new races of the pathogen continually emerge, necessitating discovery and deployment of new R genes. The process is challenging because of the uncertainty in identifying races in a genetically diverse parasite. Major conclusions, solutions, achievements: We developed a small collection of SSR markers for genetic mapping in O. cumana and completed a diversity study to lay the ground for objective #1. Because DNA sequencing and SNPgenotyping technology dramatically advanced during the course of the study, we recommend shifting future work to SNP discovery and mapping using array-based approaches, instead of SSR markers. We completed a pilot study using a 96-SNP array, but it was not large enough to support genetic mapping in O.cumana. The development of further SNPs was beyond the scope of the grant. However, the collection of SSR markers was ideal for genetic diversity analysis, which indicated that O. cumanapopulations in Israel considerably differ frompopulations in other Mediterranean countries. We supplied physical and genetic mapping resources for identifying R-genes in sunflower responsible for resistance to O. cumana. Several thousand mapped SNP markers and a complete draft of the sunflower genome sequence are powerful tools for identifying additional candidate genes and understanding the genomic architecture of O. cumana-resistanceanddisease-resistance genes. Implications: The OrobancheSSR markers have utility in sunflower breeding and genetics programs, as well as a tool for understanding the heterogeneity of races in the field and for geographically mapping of pathotypes.The segregating populations of both Orobanche and sunflower hybrids are now available for QTL analyses.
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