Bibliografie tematiche / Alignment

Letteratura scientifica selezionata sul tema "Alignment"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 30 luglio 2024

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Articoli di riviste sul tema "Alignment"

1

Staritzbichler, René, Edoardo Sarti, Emily Yaklich, Antoniya Aleksandrova, Marcus Stamm, Kamil Khafizov e Lucy R. Forrest. "Refining pairwise sequence alignments of membrane proteins by the incorporation of anchors". PLOS ONE 16, n. 4 (30 aprile 2021): e0239881. http://dx.doi.org/10.1371/journal.pone.0239881.

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Abstract (sommario):
The alignment of primary sequences is a fundamental step in the analysis of protein structure, function, and evolution, and in the generation of homology-based models. Integral membrane proteins pose a significant challenge for such sequence alignment approaches, because their evolutionary relationships can be very remote, and because a high content of hydrophobic amino acids reduces their complexity. Frequently, biochemical or biophysical data is available that informs the optimum alignment, for example, indicating specific positions that share common functional or structural roles. Currently, if those positions are not correctly matched by a standard pairwise sequence alignment procedure, the incorporation of such information into the alignment is typically addressed in an ad hoc manner, with manual adjustments. However, such modifications are problematic because they reduce the robustness and reproducibility of the aligned regions either side of the newly matched positions. Previous studies have introduced restraints as a means to impose the matching of positions during sequence alignments, originally in the context of genome assembly. Here we introduce position restraints, or “anchors” as a feature in our alignment tool AlignMe, providing an aid to pairwise global sequence alignment of alpha-helical membrane proteins. Applying this approach to realistic scenarios involving distantly-related and low complexity sequences, we illustrate how the addition of anchors can be used to modify alignments, while still maintaining the reproducibility and rigor of the rest of the alignment. Anchored alignments can be generated using the online version of AlignMe available at www.bioinfo.mpg.de/AlignMe/.
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Wheeler, Travis J., e John D. Kececioglu. "Multiple alignment by aligning alignments". Bioinformatics 23, n. 13 (1 luglio 2007): i559—i568. http://dx.doi.org/10.1093/bioinformatics/btm226.

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3

WANG, YI, e KUO-BIN LI. "MULTIPLE SEQUENCE ALIGNMENT USING AN EXHAUSTIVE AND GREEDY ALGORITHM". Journal of Bioinformatics and Computational Biology 03, n. 02 (aprile 2005): 243–55. http://dx.doi.org/10.1142/s021972000500103x.

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Abstract (sommario):
We describe an exhaustive and greedy algorithm for improving the accuracy of multiple sequence alignment. A simple progressive alignment approach is employed to provide initial alignments. The initial alignment is then iteratively optimized against an objective function. For any working alignment, the optimization involves three operations: insertions, deletions and shuffles of gaps. The optimization is exhaustive since the algorithm applies the above operations to all eligible positions of an alignment. It is also greedy since only the operation that gives the best improving objective score will be accepted. The algorithms have been implemented in the EGMA (Exhaustive and Greedy Multiple Alignment) package using Java programming language, and have been evaluated using the BAliBASE benchmark alignment database. Although EGMA is not guaranteed to produce globally optimized alignment, the tests indicate that EGMA is able to build alignments with high quality consistently, compared with other commonly used iterative and non-iterative alignment programs. It is also useful for refining multiple alignments obtained by other methods.
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4

Sampson, Jennifer, John Krogstie e Csaba Veres. "Ontology Alignment Quality". International Journal of Information System Modeling and Design 2, n. 3 (luglio 2011): 1–23. http://dx.doi.org/10.4018/jismd.2011070101.

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Abstract (sommario):
Recently semantic web technologies, such as ontologies, have been proposed as key enablers for integrating heterogeneous data schemas in business and governmental systems. Algorithms designed to align different but related ontologies have become necessary as differing ontologies proliferate. The process of ontology alignment seeks to find corresponding entities in a second ontology with the same or the closest meaning for each entity in a single ontology. This research is motivated by the need to provide tools and techniques to support the task of validating ontology alignment statements, since it cannot be guaranteed that the results from automated tools are accurate. The authors present a framework for understanding ontology alignment quality and describe how AlViz, a tool for visual ontology alignment, may be used to improve the quality of alignment results. An experiment was undertaken to test the claim that AlViz supports the task of validating ontology alignments. A promising result found that the tool has potential for identifying missing alignments and for rejecting false alignments.
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5

Bigvand, Anahita Mansouri, Te Bu e Anoop Sarkar. "Joint Prediction of Word Alignment with Alignment Types". Transactions of the Association for Computational Linguistics 5 (dicembre 2017): 501–14. http://dx.doi.org/10.1162/tacl_a_00076.

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Current word alignment models do not distinguish between different types of alignment links. In this paper, we provide a new probabilistic model for word alignment where word alignments are associated with linguistically motivated alignment types. We propose a novel task of joint prediction of word alignment and alignment types and propose novel semi-supervised learning algorithms for this task. We also solve a sub-task of predicting the alignment type given an aligned word pair. In our experimental results, the generative models we introduce to model alignment types significantly outperform the models without alignment types.
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6

González Laffitte, Marcos E., e Peter F. Stadler. "Progressive Multiple Alignment of Graphs". Algorithms 17, n. 3 (11 marzo 2024): 116. http://dx.doi.org/10.3390/a17030116.

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Abstract (sommario):
The comparison of multiple (labeled) graphs with unrelated vertex sets is an important task in diverse areas of applications. Conceptually, it is often closely related to multiple sequence alignments since one aims to determine a correspondence, or more precisely, a multipartite matching between the vertex sets. There, the goal is to match vertices that are similar in terms of labels and local neighborhoods. Alignments of sequences and ordered forests, however, have a second aspect that does not seem to be considered for graph comparison, namely the idea that an alignment is a superobject from which the constituent input objects can be recovered faithfully as well-defined projections. Progressive alignment algorithms are based on the idea of computing multiple alignments as a pairwise alignment of the alignments of two disjoint subsets of the input objects. Our formal framework guarantees that alignments have compositional properties that make alignments of alignments well-defined. The various similarity-based graph matching constructions do not share this property and solve substantially different optimization problems. We demonstrate that optimal multiple graph alignments can be approximated well by means of progressive alignment schemes. The solution of the pairwise alignment problem is reduced formally to computing maximal common induced subgraphs. Similar to the ambiguities arising from consecutive indels, pairwise alignments of graph alignments require the consideration of ambiguous edges that may appear between alignment columns with complementary gap patterns. We report a simple reference implementation in Python/NetworkX intended to serve as starting point for further developments. The computational feasibility of our approach is demonstrated on test sets of small graphs that mimimc in particular applications to molecular graphs.
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SALEM, SAEED, MOHAMMED J. ZAKI e CHRISTOPHER BYSTROFF. "ITERATIVE NON-SEQUENTIAL PROTEIN STRUCTURAL ALIGNMENT". Journal of Bioinformatics and Computational Biology 07, n. 03 (giugno 2009): 571–96. http://dx.doi.org/10.1142/s0219720009004205.

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Structural similarity between proteins gives us insights into their evolutionary relationships when there is low sequence similarity. In this paper, we present a novel approach called SNAP for non-sequential pair-wise structural alignment. Starting from an initial alignment, our approach iterates over a two-step process consisting of a superposition step and an alignment step, until convergence. We propose a novel greedy algorithm to construct both sequential and non-sequential alignments. The quality of SNAP alignments were assessed by comparing against the manually curated reference alignments in the challenging SISY and RIPC datasets. Moreover, when applied to a dataset of 4410 protein pairs selected from the CATH database, SNAP produced longer alignments with lower rmsd than several state-of-the-art alignment methods. Classification of folds using SNAP alignments was both highly sensitive and highly selective. The SNAP software along with the datasets are available online at
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8

Erkomaishvili, David. "Alliance Index: Measuring Alignments in International Relations". International Studies 56, n. 1 (gennaio 2019): 28–45. http://dx.doi.org/10.1177/0020881718825079.

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Orthodox approaches developed by Alliance Theory to study alliances are characterized by static and state-centric focus, which exposes theory’s logical limitations. In contrast, modern alignments are marked by continuous oscillations. Alignment stability—according to orthodox Alliance Theory—may be altogether misleading for the explanation of behaviour in alignment. This article theoretically re-conceptualizes the key notion of the orthodox Alliance Theory—the concept of alliance. Building on the basis of isolated but significant fragments of advanced research, the theoretical essence of the Alliance Theory is adjusted to encompass alignment process. Importantly, such a re-calibration bears in on an overlooked element common to all alignments—fluidity. Theoretical modification resulted in two important outcomes. First, the change of the vantage point in explaining alignments theoretically extends the orthodox Alliance Theory’s traditionally limited applicability, which excluded subnational and non-state actors. Second, the change allowed reviewing the essence of alignments focusing on a persistently evolving process, rather than on alignments’ institutional image. Sustained realignment, upgrading or downgrading of cooperative relations between actors and concurrent alignment to rival parties is no more confusing in explaining alignments. The article develops an alignment index and calculates it for the post-Soviet space.
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Chen, Zhenxian, Yongchang Gao, Shibin Chen, Qida Zhang, Zhifeng Zhang, Jing Zhang, Xuan Zhang e Zhongmin Jin. "Biomechanics and wear comparison between mechanical and kinematic alignments in total knee arthroplasty". Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 232, n. 12 (21 novembre 2018): 1209–18. http://dx.doi.org/10.1177/0954411918811855.

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The uses of mechanical and kinematic alignments in total knee arthroplasty are under debate in recent clinical investigations. In this study, the differences in short-term biomechanics and long-term wear volume between mechanical and kinematic alignments in total knee arthroplasty were investigated, based on a subject-specific musculoskeletal multi-body dynamics model during walking gait simulation. An increase of 8.2% in the peak tibiofemoral medial contact force, a posterior contact translation by maximum 4.7 mm and a decrease of 5.5% in the wear volume after a 10-million-cycle simulation were predicted in the kinematic alignment, compared with the mechanical alignment. Nevertheless, the tibiofemoral contact mechanics, the range of motions and the long-term wear were not markedly different between mechanical and kinematic alignments. Furthermore, the mechanical alignment with a posterior tibial slope similar to that under the kinematic alignment was found to produce similar anterior–posterior translation and the range of motion, and an approximate wear volume, compared with the kinematic alignment. The ligament forces under the kinematic alignment were influenced markedly by as much as 25%, 50% and 77% for the medial collateral ligament, lateral collateral ligament and posterior cruciate ligament forces, respectively. And, a maximum increase of 40% for patellofemoral contact force was predicted under the kinematic alignment. These findings suggest that the kinematic alignment is an alternative alignment principle but no marked advantages in biomechanics and wear to the mechanical alignment. The adverse effects of the kinematic alignment on patella loading and soft tissue forces should be noticed.
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Li, Wanli, Wenqi Wu, Jinling Wang e Liangqing Lu. "A Fast SINS Initial Alignment Scheme for Underwater Vehicle Applications". Journal of Navigation 66, n. 2 (30 luglio 2012): 181–98. http://dx.doi.org/10.1017/s0373463312000318.

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To achieve high Strapdown Inertial Navigation System (SINS) alignment accuracy within a short period of time is still a challenging issue for underwater vehicles. In this paper, a new SINS initial alignment scheme aided by the velocity derived from Doppler Velocity Log (DVL) is proposed to solve this problem. In the stage of the coarse alignment, the velocity of DVL is employed to reduce the impact of the linear motion. With a backtracking framework, the fine alignment runs with the data recorded during the process of the coarse alignment and thus will speed up the overall alignment process. In addition, by using this new scheme, it is equivalent to length the alignment time for both coarse and fine alignments, so the accuracy of the alignments will be improved. In order to reduce the volume of the data that has to be recorded, a new model for SINS fine alignment is derived in the inertial reference frame which makes it feasible for real time applications. The experimental results are presented for both unaided static and in-motion alignment using DVL aiding. It is clearly shown that the proposed method meets the requirement of SINS alignment for underwater vehicles.
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Tesi sul tema "Alignment"

1

Starrett, Dean. "Optimal Alignment of Multiple Sequence Alignments". Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/194840.

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An essential tool in biology is the alignment of multiple sequences. Biologists use multiple sequence alignments for tasks such as predicting protein structure and function, reconstructing phylogenetic trees, and finding motifs. Constructing high-quality multiple alignments is computationally hard, both in theory and in practice, and is typically done using heuristic methods. The majority of state-of-the-art multiple alignment programs employ a form and polish strategy, where in the construction phase, an initial multiple alignment is formed by progressively merging smaller alignments, starting with single sequences. Then in a local-search phase, the resulting alignment is polished by repeatedly splitting it into smaller alignments and re-merging. This merging of alignments, the basic computational problem in the construction and local-search phases of the best multiple alignment heuristics, is called the Aligning Alignments Problem. Under the sum-of-pairs objective for scoring multiple alignments, this problem may seem to be a simple extension of two-sequence alignment. It is proven here, however, that with affine gap costs (which are recognized as necessary to get biologically-informative alignments) the problem is NP-complete when gaps are counted exactly. Interestingly, this form of multiple alignment is polynomial-time solvable when we relax the exact count, showing that exact gap counts themselves are inherently hard in multiple sequence alignment. Unlike general multiple alignment however, we show that Aligning Alignments with affine gap costs and exact counts is tractable in practice, by demonstrating an effective algorithm and a fast implementation. Our software AlignAlign is both time- and space-efficient on biological data. Computational experiments on biological data show instances derived from standard benchmark suites can be optimally aligned with surprising efficiency, and experiments on simulated data show the time and space both scale well.
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2

Floden, Evan 1985. "Alignment uncertainty, regressive alignment and large scale deployment". Doctoral thesis, Universitat Pompeu Fabra, 2018. http://hdl.handle.net/10803/665300.

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Abstract (sommario):
A multiple sequence alignment (MSA) provides a description of the relationship between biological sequences where columns represent a shared ancestry through an implied set of evolutionary events. The majority of research in the field has focused on improving the accuracy of alignments within the progressive alignment framework and has allowed for powerful inferences including phylogenetic reconstruction, homology modelling and disease prediction. Notwithstanding this, when applied to modern genomics datasets - often comprising tens of thousands of sequences - new challenges arise in the construction of accurate MSA. These issues can be generalised to form three basic problems. Foremost, as the number of sequences increases, progressive alignment methodologies exhibit a dramatic decrease in alignment accuracy. Additionally, for any given dataset many possible MSA solutions exist, a problem which is exacerbated with an increasing number of sequences due to alignment uncertainty. Finally, technical difficulties hamper the deployment of such genomic analysis workflows - especially in a reproducible manner - often presenting a high barrier for even skilled practitioners. This work aims to address this trifecta of problems through a web server for fast homology extension based MSA, two new methods for improved phylogenetic bootstrap supports incorporating alignment uncertainty, a novel alignment procedure that improves large scale alignments termed regressive MSA and finally a workflow framework that enables the deployment of large scale reproducible analyses across clusters and clouds titled Nextflow. Together, this work can be seen to provide both conceptual and technical advances which deliver substantial improvements to existing MSA methods and the resulting inferences.
Un alineament de seqüència múltiple (MSA) proporciona una descripció de la relació entre seqüències biològiques on les columnes representen una ascendència compartida a través d'un conjunt implicat d'esdeveniments evolutius. La majoria de la investigació en el camp s'ha centrat a millorar la precisió dels alineaments dins del marc d'alineació progressiva i ha permès inferències poderoses, incloent-hi la reconstrucció filogenètica, el modelatge d'homologia i la predicció de malalties. Malgrat això, quan s'aplica als conjunts de dades de genòmica moderns, que sovint comprenen desenes de milers de seqüències, sorgeixen nous reptes en la construcció d'un MSA precís. Aquests problemes es poden generalitzar per formar tres problemes bàsics. En primer lloc, a mesura que augmenta el nombre de seqüències, les metodologies d'alineació progressiva presenten una disminució espectacular de la precisió de l'alineació. A més, per a un conjunt de dades, existeixen molts MSA com a possibles solucions un problema que s'agreuja amb un nombre creixent de seqüències a causa de la incertesa d'alineació. Finalment, les dificultats tècniques obstaculitzen el desplegament d'aquests fluxos de treball d'anàlisi genòmica, especialment de manera reproduïble, sovint presenten una gran barrera per als professionals fins i tot qualificats. Aquest treball té com a objectiu abordar aquesta trifecta de problemes a través d'un servidor web per a l'extensió ràpida d'homologia basada en MSA, dos nous mètodes per a la millora de l'arrencada filogenètica permeten incorporar incertesa d'alineació, un nou procediment d'alineació que millora els alineaments a gran escala anomenat MSA regressivu i, finalment, un marc de flux de treball permet el desplegament d'anàlisis reproduïbles a gran escala a través de clústers i computació al núvol anomenat Nextflow. En conjunt, es pot veure que aquest treball proporciona tant avanços conceptuals com tècniques que proporcionen millores substancials als mètodes MSA existents i les conseqüències resultants.
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SUBRAMANIAN, SUCHITHA. "PROTEIN STRUCTURE ALIGNMENT USING A GENERALIZED ALIGNMENT MODEL". University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1191966691.

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Chia, Nicholas Lee-Ping. "Sequence alignment". Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1154616122.

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5

Wagner, Katharina. "Image Alignment". Bachelor's thesis, Universitätsbibliothek Chemnitz, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200901305.

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Aligning two images by point to point correspondence is a hard optimization problem. It can be solved using t-Extremal Optimization or with a modification of this method called Fitness threshold accepting. In this work these two methods are tested and compared to see whether one of the methods should be preferred for image alignment. Since real image data is almost always noisy the performance of the methods under conditions like noisy and outlying data is analyzed too.
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Ivanova, Valentina. "Fostering User Involvement in Ontology Alignment and Alignment Evaluation". Doctoral thesis, Linköpings universitet, Databas och informationsteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143034.

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Abstract (sommario):
The abundance of data at our disposal empowers data-driven applications and decision making. The knowledge captured in the data, however, has not been utilized to full potential, as it is only accessible to human interpretation and data are distributed in heterogeneous repositories. Ontologies are a key technology unlocking the knowledge in the data by providing means to model the world around us and infer knowledge implicitly captured in the data. As data are hosted by independent organizations we often need to use several ontologies and discover the relationships between them in order to support data and knowledge transfer. Broadly speaking, while ontologies provide formal representations and thus the basis, ontology alignment supplies integration techniques and thus the means to turn the data kept in distributed, heterogeneous repositories into valuable knowledge. While many automatic approaches for creating alignments have already been developed, user input is still required for obtaining the highest-quality alignments. This thesis focuses on supporting users during the cognitively intensive alignment process and makes several contributions. We have identified front- and back-end system features that foster user involvement during the alignment process and have investigated their support in existing systems by user interface evaluations and literature studies. We have further narrowed down our investigation to features in connection to the, arguably, most cognitively demanding task from the users’ perspective—manual validation—and have also considered the level of user expertise by assessing the impact of user errors on alignments’ quality. As developing and aligning ontologies is an error-prone task, we have focused on the benefits of the integration of ontology alignment and debugging. We have enabled interactive comparative exploration and evaluation of multiple alignments at different levels of detail by developing a dedicated visual environment—Alignment Cubes—which allows for alignments’ evaluation even in the absence of reference alignments. Inspired by the latest technological advances we have investigated and identified three promising directions for the application of large, high-resolution displays in the field: improving the navigation in the ontologies and their alignments, supporting reasoning and collaboration between users.
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Maezawa, Akira. "Bayesian Music Alignment". 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199430.

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Sanchez, Alejandro Gonzalez. "Cosmological alignment effects". Thesis, University of Sussex, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385966.

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9

Bhuta, Asim. "Shoulder implant alignment". Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/60079.

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Total shoulder arthroplasty (TSA) is used to treat patients with glenohumeral joint osteoarthritis. Despite high success rates, complications occur and many patients undergo revision surgeries. The top three most frequent complications are: instability/dislocation of the joint, glenoid loosening and rotator cuff insufficiency. It is believed that these complications occur in most part due to alignment of the implant. In this thesis a two part investigation was conducted to test the effects of joint replacement humeral head version (-15° to 15°) and tilt (-10° to 10°) and glenoid version and tilt (-15° to 15°). The first part investigates the effect of the humeral head alignment on range of motion and activities of daily living using a collision detection modelling method. The second part investigates the effect of both humeral head and glenoid variations on the joint reaction and muscle forces to describe the risk of the three most frequent complications using the United Kingdom National Shoulder Model. This thesis shows that increasing humeral head posterior version decreased the ability to perform activities of daily living (up to 32% at 15°) mostly due to bone-implant collision, increased the risk of the rocking-horse mechanism (by up to 37% at 15°) and increased subscapularis activity (by up to 14% at 15°). Similarly, increasing inferior tilt of the glenoid to 10° produced the best outcomes: vertical rocking-horse mechanism decreased by 19% and no significant differences in muscle forces were observed. In conclusion, normal alignment of the humeral head following surgical guidelines is recommended to increase the chances of implant survival. Posterior versions of the humeral head should be avoided more so than other small mal-alignments. Increasing glenoid inferior tilt to 10° produced favourable results but after combining the results from this thesis and from the literature, it is concluded that all glenoid mal-alignments should be avoided and highlights the need for more effective surgical tools to accurately position the shoulder replacement.
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Kraft, Adam Davis. "Vision by alignment". Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/115632.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 127-134).
Human visual intelligence is robust. Vision is versatile in its variety of tasks and operating conditions, it is flexible, adapting facilely to new tasks, and it is introspective, providing compositional explanations for its findings. Vision is fundamentally underdetermined, but it exists in a world that abounds with constraints and regularities perceived not only through vision but through other senses as well. These observations suggest that the imperative of vision is to exploit all sources of information to resolve ambiguity. I propose an alignment model for vision, in which computational specialists eagerly share state with their neighbors during ongoing computations, availing themselves of neighbors' partial results in order to ll gaps in evolving descriptions. Connections between specialists extend across sensory modalities, so that the computational machinery of many senses may be brought to bear on problems with strictly-visual inputs. I anticipate that this alignment process accounts for vision's robust attributes, and I call this prediction the alignment hypothesis. In this document I lay the groundwork for evaluating the hypothesis. I then demonstrate progress toward that goal, by way of the following contributions: -- I performed an experiment to investigate and characterize the ways that high-performing computer-vision models fall short of robust perception, and evaluated whether alignment models can address the shortcomings. The experiment, which relied on a procedure to remove signal energy from natural images while preserving high classication condence by a neural network, revealed that the type of object depicted in the original image is a strong predictor of whether humans recognize the reduced-energy image. -- I implemented an alignment model based on a network of propagators. The model can use constraints to infer locations and heights of pedestrians and locations of occluding objects in an outdoor urban scene. I used the results of the effort to refine the requirements of mechanisms to use in building alignment models. -- I implemented an alignment model based on neural networks. Alignment-motivated design empowers the model, trained to estimate depth maps from single images, to perform the additional task of depth super-resolution without retraining. The design thus demonstrates flexibility, a property of robust vision systems.
by Adam Davis Kraft.
Ph. D.
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Libri sul tema "Alignment"

1

Singham, A. W. Non-alignment in an age of alignments. Harare,Zimbabwe: College Press, 1986.

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2

Singham, A. W. Non-alignment in an age of alignments. Westport, CT: Lawrence Hill & Co., 1986.

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Singham, A. W. Non-alignment in an age of alignments. London: Zed, 1986.

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4

Shirley, Hune, a cura di. Non-alignment in an age of alignments. Westport, Conn: L. Hill, 1986.

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5

1941-, Norton David P., a cura di. Alignment. Boston, Mass: Harvard Business School Press, 2006.

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6

Tiedemann, Jörg. Bitext Alignment. Cham: Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-02142-8.

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7

Bashiri, Iman, Christoph Engels e Marcus Heinzelmann. Strategic Alignment. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11438-0.

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8

Rushnell, Squire D. Divine alignment. New York: Howard Books, 2012.

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Zhao, Xiang, Weixin Zeng e Jiuyang Tang. Entity Alignment. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4250-3.

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Soskin, Julie. Alignment to light. Bath: Ashgrove Press, 1994.

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Capitoli di libri sul tema "Alignment"

1

Ma, Bin, Zhuozhi Wang e Kaizhong Zhang. "Alignment between Two Multiple Alignments". In Combinatorial Pattern Matching, 254–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44888-8_19.

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2

Tiedemann, Jörg. "Sentence Alignment". In Bitext Alignment, 37–57. Cham: Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-02142-8_4.

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3

Swanson, Michael W. "Alignment". In Patrick Moore’s Practical Astronomy Series, 69–86. London: Springer London, 2004. http://dx.doi.org/10.1007/978-0-85729-418-0_4.

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4

Cheng, May M. H. "Alignment". In Encyclopedia of Science Education, 1. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-6165-0_4-5.

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Cheng, May M. H. "Alignment". In Encyclopedia of Science Education, 31–32. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-007-2150-0_4.

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Strauss, Rebecca, Austin Volz e William Lidwell. "Alignment". In The Elements of Education for Curriculum Designers, 6–7. New York: Routledge, 2022. http://dx.doi.org/10.4324/9780429321283-3.

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Weik, Martin H. "alignment". In Computer Science and Communications Dictionary, 37. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_485.

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Swanson, Michael. "Alignment". In The Patrick Moore Practical Astronomy Series, 85–125. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64933-7_4.

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Kappelmann-Fenzl, Melanie. "Alignment". In Next Generation Sequencing and Data Analysis, 111–22. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62490-3_9.

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Kittler, Arne. "Alignment". In Digitales Produktmanagement, 87–101. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30629-8_5.

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Atti di convegni sul tema "Alignment"

1

Parks, Robert E. "Design for alignment". In Optical Modeling and System Alignment, a cura di Mark A. Kahan, Richard N. Youngworth e José Sasián. SPIE, 2019. http://dx.doi.org/10.1117/12.2527857.

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Li, Duan, e Dmitry Savransky. "Automated reflective optical system alignment: analysis and experiments". In Optomechanics and Optical Alignment, a cura di Keith B. Doyle, Jonathan D. Ellis, Richard N. Youngworth e José M. Sasián. SPIE, 2021. http://dx.doi.org/10.1117/12.2594250.

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Malone, Robert M., Stuart A. Baker, James R. Blackwell, Daniel J. Clayton, Andrew C. Corredor, Morris I. Kaufman, David H. Phillips, Danny S. Sorenson, Katherine L. Walters e Eloisa Zepeda-Alarcon. "Combining visible shadowgraph imaging with x-ray imaging for dynamic shock experiments". In Optomechanics and Optical Alignment, a cura di Keith B. Doyle, Jonathan D. Ellis, Richard N. Youngworth e José M. Sasián. SPIE, 2021. http://dx.doi.org/10.1117/12.2596369.

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Horowitz, Luke, James Mason, Timothy Hilby, Aaron Rother e Alison Nordt. "A picometer-class displacement metrology system using photonic integrated circuit". In Optomechanics and Optical Alignment, a cura di Keith B. Doyle, Jonathan D. Ellis, Richard N. Youngworth e José M. Sasián. SPIE, 2021. http://dx.doi.org/10.1117/12.2594874.

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Rothermel, Florian, Simon Thiele, Chris Jung, Harald Giessen e Alois Herkommer. "Towards magnetically actuated 3D-printed micro-optical elements". In Optomechanics and Optical Alignment, a cura di Keith B. Doyle, Jonathan D. Ellis, Richard N. Youngworth e José M. Sasián. SPIE, 2021. http://dx.doi.org/10.1117/12.2594213.

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Schipani, Pietro, Salvatore Savarese, Giulio Capasso, Mirko Colapietro, Sergio D'Orsi, Marcella Iuzzolino, Laurent Marty e Francesco Perrotta. "Modeling the PSF of misaligned wide-field telescopes through an integrated modeling approach". In Optomechanics and Optical Alignment, a cura di Keith B. Doyle, Jonathan D. Ellis, Richard N. Youngworth e José M. Sasián. SPIE, 2021. http://dx.doi.org/10.1117/12.2594569.

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Genberg, Victor L., Gregory Michels e Gary Bisson. "Freeform surfaces in STOP analysis". In Optomechanics and Optical Alignment, a cura di Keith B. Doyle, Jonathan D. Ellis, Richard N. Youngworth e José M. Sasián. SPIE, 2021. http://dx.doi.org/10.1117/12.2595142.

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Mead, Derek T., e Michael Alden. "Integrated optics chip automated fabrication at Honeywell". In Optomechanics and Optical Alignment, a cura di Keith B. Doyle, Jonathan D. Ellis, Richard N. Youngworth e José M. Sasián. SPIE, 2021. http://dx.doi.org/10.1117/12.2594302.

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Ellis, Jonathan D. "Lessons learned while (maybe) educating optomechanical engineers". In Optomechanics and Optical Alignment, a cura di Keith B. Doyle, Jonathan D. Ellis, Richard N. Youngworth e José M. Sasián. SPIE, 2021. http://dx.doi.org/10.1117/12.2596789.

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Pepi, John W., e John W. Billings. "Optimum mount location for lightweight mirrors in a gravitational environment with optical axis horizontal". In Optomechanics and Optical Alignment, a cura di Keith B. Doyle, Jonathan D. Ellis, Richard N. Youngworth e José M. Sasián. SPIE, 2021. http://dx.doi.org/10.1117/12.2593461.

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Rapporti di organizzazioni sul tema "Alignment"

1

Wolf, Zackary. Girder Alignment Plan. Office of Scientific and Technical Information (OSTI), novembre 2010. http://dx.doi.org/10.2172/992866.

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Benbya, Hind, Dorothy E. Leidner e David Preston. Information Systems Alignment. MIS Quarterly, marzo 2019. http://dx.doi.org/10.25300/misq/2019/curations/03152019.

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Morgan, Tom. What Is Alignment? Boston, MA: Patricia Seybold Group, luglio 1999. http://dx.doi.org/10.1571/psgp6-23-99et.

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Gaydosh, Michael. PEP-II Alignment. Office of Scientific and Technical Information (OSTI), maggio 2003. http://dx.doi.org/10.2172/813117.

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Whitworth, T., C. May e O. Strand. PDV Probe Alignment Technique. Office of Scientific and Technical Information (OSTI), ottobre 2007. http://dx.doi.org/10.2172/923119.

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Goldhaber-Gordon, David. Alignment of Nanotube Arrays. Fort Belvoir, VA: Defense Technical Information Center, maggio 2005. http://dx.doi.org/10.21236/ada434117.

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Hermann, Bruce R., e Jacob Roginsky. Hybrid Fence Alignment Analysis. Fort Belvoir, VA: Defense Technical Information Center, gennaio 1999. http://dx.doi.org/10.21236/ada362438.

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Helmick, Ronald E., Jeffrey E. Conte e Theodore R. Rice. Absolute Alignment of Sensors. Fort Belvoir, VA: Defense Technical Information Center, maggio 1996. http://dx.doi.org/10.21236/ada324438.

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Talman, R., e N. Malitsky. Beam-Based BPM Alignment. Office of Scientific and Technical Information (OSTI), settembre 2002. http://dx.doi.org/10.2172/1157294.

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Jurgenson, C. A., D. F. Buscher, M. J. Creech-Eakman, C. A. Haniff, J. S. Young, T. A. Coleman, C. B. Parameswariah, E. Seneta e E. J. Bakker. MROI's Automated Alignment System. Fort Belvoir, VA: Defense Technical Information Center, gennaio 2006. http://dx.doi.org/10.21236/ada461542.

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