Academic literature on the topic 'Functional analyse'
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Journal articles on the topic "Functional analyse"
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Charon, Nicolas, and Alain Trouvé. "Functional Currents: A New Mathematical Tool to Model and Analyse Functional Shapes." Journal of Mathematical Imaging and Vision 48, no. 3 (January 17, 2013): 413–31. http://dx.doi.org/10.1007/s10851-012-0413-4.
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Gile, Daniel. "Les fautes de traduction : une analyse pédagogique." Meta 37, no. 2 (September 30, 2002): 251–62. http://dx.doi.org/10.7202/002907ar.
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Abstract Translation errors are analyzed on the basis of an operational translation Model. They can be classified either according to their location in the Model's components (knowledge base, hypothesis formulation, plausibility, fidelity and acceptability tests), or according to functional criteria. Isolation and explicitation strategies help locate their sources. Two practical strategies are suggested for remedial action against errors arising from weak motivation in the students: one aims at heightening their awareness of the importance of particular aspects of translation, and the other puts pressure on specific components of translation through marking tactics.
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Mhamedi, Abderrahman El, and François B. Vernadat. "ACNOS: A functional and socio-cognitive modelling approach to analyse industrial systems." IFAC Proceedings Volumes 32, no. 2 (July 1999): 145–50. http://dx.doi.org/10.1016/s1474-6670(17)56027-9.
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Comas, C., P. Delicado, and J. Mateu. "A second order approach to analyse spatial point patterns with functional marks." TEST 20, no. 3 (October 20, 2010): 503–23. http://dx.doi.org/10.1007/s11749-010-0215-1.
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Aibar, Sara, Celia Fontanillo, Conrad Droste, and Javier De Las Rivas. "Functional Gene Networks: R/Bioc package to generate and analyse gene networks derived from functional enrichment and clustering." Bioinformatics 31, no. 10 (January 18, 2015): 1686–88. http://dx.doi.org/10.1093/bioinformatics/btu864.
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Ossenblok, Pauly, Andrea Fuster, and Remco Duits. "Medische data-analyse voor minimaal invasieve behandeling van epilepsie." Epilepsie, periodiek voor professionals 16, no. 3 (September 1, 2018): 25–27. http://dx.doi.org/10.54160/epilepsie.11281.
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Stephan Meesters promoveerde op 29 maart 2018 aan de Technische Universiteit Eindhoven op het proefschrift Functional and structural methods for minimally invasive treatment of epilepsy. Zijn proefschrift beschrijft de ontwikkeling van analysemethoden voor functionele en structurele beeldvorming ter ondersteuning van een minimaal invasieve behandeling van patiënten met epilepsie die niet goed reageren op anti-epileptica.
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Rowe, Francisco. "Functional Labour Market Areas for Chile." REGION 4, no. 3 (August 8, 2017): 7. http://dx.doi.org/10.18335/region.v4i2.199.
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Administrative areas are arbitrarily designed and do not necessarily reflect the geographical patterns of socio-economic and labour market activity. Labour market areas (LMAs) are required to analyse spatial labour market activity and provide a framework to guide spatially-explicit employment policy development. This resource describes a data source of a set of recently created labour market areas for Chile.
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Rowe, Francisco. "Functional Labour Market Areas for Chile." REGION 4, no. 3 (August 8, 2017): 7. http://dx.doi.org/10.18335/region.v4i3.199.
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Administrative areas are arbitrarily designed and do not necessarily reflect the geographical patterns of socio-economic and labour market activity. Labour market areas (LMAs) are required to analyse spatial labour market activity and provide a framework to guide spatially-explicit employment policy development. This resource describes a data source of a set of recently created labour market areas for Chile.
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Wu, Dong Jiang, Xian Suo Cao, Hang Gao, and Ren Ke Kang. "Surface Damage Analyse of KDP Crystal Grinding." Advanced Materials Research 24-25 (September 2007): 349–54. http://dx.doi.org/10.4028/www.scientific.net/amr.24-25.349.
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The functional crystal material Potassium dihydrogen phosphate KH2PO4 (KDP for short) is widely used in navigate, spaceflight, national defenses, energy sources and information technology fields because of its excellent non-linear optical property. However, KDP crystal has some disadvantages such as soft, fragile, hygroscopic, anisotropy, thermally sensitive and low rigidity, which make it a most difficult processing material. In this paper, KDP crystal was machined by the wheel grinding. Some equipment, such as Optic microscope, SEM, ZYGO and Raman spectroscope were used to observe and analysis the KDP crystal surface which was damaged during grinding. The results shows that serious nicks, crashes and the press stress appeared on the surface of the KDP crystal after grinding.
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Ejupi, Arsim. "Functional transformation of Albanian and Serbian settlements in the Presheva Valley, Serbia." Environmental & Socio-economic Studies 5, no. 2 (June 27, 2017): 1–9. http://dx.doi.org/10.1515/environ-2017-0006.
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Abstract The aim of this research was to analyse the functional transformation of settlements in the Presheva Valley and the main factors that have affected on these changes. Among the many factors that determine the trend and the rhythm of functional transformation, we have chosen to analyse the relationship between the functional transformation and the ethnic structure of the region. Presheva Valley is situated in the central part of the Balkan Peninsula, with Morava Valley to the north and Vardar Valley to the south. It has an Albanian population who currently make up around 80 percent of the region’s population. It includes 67 settlements inhabited by an Albanian population and 71 settlements inhabited by a Serbian population. The Valley was, and remains, the most underdeveloped region in Serbia and the Balkans: the Albanian-inhabited areas are more than 7 times less developed than the average of Serbia. The first part of the article analyses the functional transformation of the settlements inhabited by Albanians, while the second part depicts a comparison of functional transformation between Albanian and Serbian settlements. The analysis is based on census data from 1971 and 2002. Comparison of statistical data of the population by activity within the 30 year period and mapping of statistical data of population by activity indicates a very slow functional transformation of the settlements in the Presheva Valley.
Dissertations / Theses on the topic "Functional analyse"
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Ji, Boyang. "Comparative and Functional Genome Analysis of Magnetotactic Bacteria." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4065.
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Les bactéries magnétotactiques (MTB) appartiennent à différents phyla procaryotes et ont la capacité de synthétiser des magnetosomes (cristaux de magnétite entourés par une membrane). Durant la thèse, nous avons procédé à l’analyse génomique de 2 bactéries magnétotactiques: Magnetospira sp. QH-2 et Magnetococcus MO-1. La synthénie et la correlation génique des gènes impliqués dans la formation des magnétosomes montrent que l'insertion de cet îlot chez QH-2 a eu lieu après la divergence entre les Magnetospirillum sp et Magnetospira sp. L'analyse comparative a mis en évidence trois groupes distincts de MTB : Groupe I, comprenant les souches Magnetospirillum spp. et Magnetospira; Groupe II avec MO-1 et M. marinus MC-1 et le Groupe III, avec D. magneticus RS-1. QH-2 montre aussi une évolution adaptative distincte par comparaison aux souches marines ou d'eau douce. L'analyse comparative des réseaux métaboliques révèle une très grande similitude intra-Groupe et une importante variabilité inter-Groupe. Cela est probablement dû aux enzymes impliqués dans les voies métaboliques anoxiques, qui représentent ainsi la contrainte à une distribution taxonomique large des MTB. Ces enzymes permettent ainsi de prédire le phénotype métabolique nécessaire à la production des magnétosomes. Différentes analyses (des protéines ribosomales au genome entier) indiquent une composition taxonomique chimérique des gènes de MO-1 et MC-1, et peut représenter une nouvelle lignée taxonomique chez les Protéobactéries. J’ai aussi participé à l'analyse des génomes de deux bactéries piezophiles, d’une bactérie photosynthétique pourpre et l’analyse phylogénomique des tyrosine-Kinases bactériennesMagnetotactic bacteria (MTB) are a diverse group of aquatic prokaryotes, which synthesize membrane-Enclosed magnetic crystals known as magnetosomes. In this thesis, the genome sequences of two marine MTB strains, Magnetospira sp. QH-2 and magneto-Ovoid strain MO-1 were analyzed. The magnetosome gene cluster synteny and mam gene correlation indicate that the insertion of the magnetosome island into QH-2 chromosome occurred after divergence between freshwater and marine magnetospirilla. Comparative genomic analysis revealed three distinct groups of sequenced MTB strains: Group I with Magnetospirillum spp. strains and Magnetospira strain, Group II with MO-1 strain and M. marinus MC-1, and Group III including Desulfovibrio magneticus RS-1. In addition, it shows an adaptive evolution of two marine MTB strains to marine sediments in comparison with closely related freshwater species. Moreover, comparative metabolic network analysis reveals high level of intra-Group similarity and inter-Group variety in MTB. With anoxic network enzymes, potential “MTB” strains are predicted, and are consistent with recently isolated MTB strains. It suggested that the anoxic metabolic network might be one restricted constraint for MTB distribution in bacterial lineages. Interestingly, analyses from ribosomal proteins to the whole MTB genome strongly support a taxonomic chimeric nature of MO-1 and MC-1 genes, and may represent a novel Proteobacteria lineage. Additionally, I also participate to genome analyses of piezophilic Desulfovibrio and Phaeospirillum molischianum strains as well as genome-Wide analysis of bacterial tyrosine kinases
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Lensch, Anne Katrin. "Auswirkungen gesundheitsbezogener Ernährungsinformationen auf die Kaufentscheidung : Analyse am Beispiel funktioneller Lebensmittel mit Folsäure /." Hamburg : Kovač, 2009. http://www.verlagdrkovac.de/978-3-8300-4229-7.htm.
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Wang, Qi. "Multivariate group analyses for functional neuroimaging : conceptual and experimental advances." Thesis, Ecole centrale de Marseille, 2020. http://www.theses.fr/2020ECDM0002.
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Dans les expériences de neuroimagerie fonctionnelle, les participants effectuent un ensemble de tâches pendant que leur activité cérébrale est enregistrée, par exemple en utilisant l’électroencéphalographie (EEG), la magnétoencéphalographie (MEG) ou l'imagerie par résonance magnétique fonctionnelle (fMRI). L'analyse des données d'un groupe de participants, souvent appelée analyse de groupe, vise à identifier des invariants de population qui se rapportent aux tâches accomplies par les participants. Ceci permet de comprendre l'organisation fonctionnelle du cerveau chez les sujets sains et ses dysfonctionnements dans les populations pathologiques. Tandis que les analyses de groupes univariées, basées sur le modèle linéaire généralisé, ont fait l'objet d'études approfondies, de nombreuses questions restent ouvertes pour les analyses de groupe fondées sur des méthodes d'apprentissage machine multivariées. Cette thèse étudie donc sur les analyses de groupe multivariées pour les expériences de neuroimagerie fonctionnelle. Nous nous focalisons sur un schéma d’analyse de groupe multivarié sous utilisé, que nous désignons “analyse de motifs inter-sujet”, qui consiste à entraîner un modèle sur des données d’un ensemble de sujet et à évaluer sa capacité à généraliser sur des données enregistrées dans d’autres sujets. Nous effectuons d’abord une comparaison des résultats fournis par l'analyse de motifs inter-sujet avec ceux obtenus en utilisant la méthode standard. L'analyse inter-sujet offre à la fois une plus grande capacité de détection et facilite l'interprétation des résultats obtenus à un coût de calcul comparable. Dans ce contexte, notre deuxième contribution introduit une formalisation unifiée de l'analyse de motifs inter-sujet, que nous modélisons comme un problème d'apprentissage par transfert transductif multi-sources. Ensuite, nous produisons une revue de la littérature des méthodes développées pour l’analyse de motifs inter-sujet. Puis, nous effectuons une série d’études expérimentales qui examine le bien-fondé de la formalisation par transfert transductif multi-sources de l'analyse de motifs inter-sujet. La quatrième contribution de cette thèse est une nouvelle méthode d'analyse multivariée au niveau du groupe pour les expériences de neuroimagerie fonctionnelle. Notre méthode est basée sur le transport optimal, qui tire parti des propriétés géométriques des cartes d’activité cérébrales pour surmonter les différences inter-individuelles qui ont un impact sur les analyses de groupe traditionnellesIn functional neuroimaging experiments, participants perform a set of tasks while their brain activity is recorded, e.g. with electroencephalography (EEG), magnetoencephalography (MEG) or functional magnetic resonance imaging (fMRI). Analysing data from a group of participants, which is often denoted as group-level analysis, aims at identifying traits in the data that relate with the tasks performed by the participant and that are invariant within the population. This allows understanding the functional organization of the brain in healthy subjects and its dysfunctions in pathological populations. While group-level analyses for classical univariate statistical inference schemes, such as the general linear model, have been heavily studied, there are still many open questions for group-level strategies based on multivariate machine learning methods. This thesis therefore focuses on multivariate group-level analysis of functional neuroimaging and brings four contributions. The first contribution is a comparison of the results provided by two classifier-based multivariate group-level strategies: i) the standard one in which one aggregates the performances of within-subject models in a hierarchical analysis, and ii) the scheme we denote as inter-subject pattern analysis, where a population-level predictive model is directly estimated from data recorded on multiple subjects. An extensive set of experiments are conducted on both a large number of artificial datasets - where we parametrically control the size of the multivariate effect and the amount of inter-individual variability - as well as on two real fMRI datasets. Our results show that the two strategies can provide different results and that inter-subject analysis both offers a greater ability to small multivariate effects and facilitates the interpretation of the obtained results at a comparable computational cost.We then provide a survey of the methods that have been proposed to improve inter-subject pattern analysis, which is actually a hard task due to the largely heterogeneous vocabulary employed in the literature dedicated to this topic. Our second contribution consists in first introducing an unifying formalization of this framework, that we cast as a multi-source transductive transfer learning problem, and then in reviewing more than 500 related papers to offer a first comprehensive view of the existing literature where inter-subject pattern analysis was used in task-based functional neuroimaging experiments.Our third contribution is an experimental study that examines the well-foundedness of our multi-source transductive transfer formalization of inter-subject pattern analysis. With fMRI and MEG data recorded from numerous subjects, we demonstrate that between-subject variability impairs the generalization ability of classical machine learning algorithms and that a standard multi-source transductive learning strategy improves the generalization performances of such algorithms. Based on these promising results we further investigate the use of two more advanced machine learning methods to deal with the multi-source problem.The fourth contribution of this thesis is a new multivariate group-level analysis method for functional neuroimaging datasets. Our method is based on optimal transport, which leverages the geometrical properties of multivariate brain patterns to overcome inter-individual differences impacting the traditional group-level analyses. We extend the concept of Wasserstein barycenter, which was initially meant to average probability measures, to make it applicable to arbitrary data that do not necessarily fulfill the properties of a true probability measure. For this, we introduce a new algorithm that estimates a barycenter and provide an experimental study on artificial and real functional MRI
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Lensch, Anne Katrin. "Auswirkungen gesundheitsbezogener Ernährungsinformationen auf die Kaufentscheidung Analyse am Beispiel funktioneller Lebensmittel mit Folsäure." Hamburg Kovač, 2008. http://d-nb.info/992492343/04.
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Calbrix, Jean. "Questions de topologie en analyse fonctionnelle." Grenoble 2 : ANRT, 1986. http://catalogue.bnf.fr/ark:/12148/cb375962153.
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Wu, QiongLi. "Sensitivity Analysis for Functional Structural Plant Modelling." Phd thesis, Ecole Centrale Paris, 2012. http://tel.archives-ouvertes.fr/tel-00719935.
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Global sensitivity analysis has a key role to play in the design and parameterization of functional-structural plant growth models (FSPM) which combine the description of plant structural development (organogenesis and geometry) and functional growth (biomass accumulation and allocation). Models of this type generally describe many interacting processes, count a large number of parameters, and their computational cost can be important. The general objective of this thesis is to develop a proper methodology for the sensitivity analysis of functional structural plant models and to investigate how sensitivity analysis can help for the design and parameterization of such models as well as providing insights for the understanding of underlying biological processes. Our contribution can be summarized in two parts: from the methodology point of view, we first improved the performance of the existing Sobol's method to compute sensitivity indices in terms of computational efficiency, with a better control of the estimation error for Monte Carlo simulation, and we also designed a proper strategy of analysis for complex biophysical systems; from the application point of view, we implemented our strategy for 3 FSPMs with different levels of complexity, and analyzed the results from different perspectives (model parameterization, model diagnosis).
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Andreescu, Oana Fabiana. "Static analysis of functional programs with an application to the frame problem in deductive verification." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S047/document.
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Dans le domaine de la vérification formelle de logiciels, il est impératif d'identifier les limites au sein desquelles les éléments ou fonctions opèrent. Ces limites constituent les propriétés de frame (frame properties en anglais). Elles sont habituellement spécifiées manuellement par le programmeur et leur validité doit être vérifiée: il est nécessaire de prouver que les opérations du programme n'outrepassent pas les limites ainsi déclarées. Dans le contexte de la vérification formelle interactive de systèmes complexes, comme les systèmes d'exploitation, un effort considérable est investi dans la spécification et la preuve des propriétés de frame. Cependant, la plupart des opérations ont un effet très localisé et ne menacent donc qu'un nombre limité d'invariants. Étant donné que la spécification et la preuve de propriétés de frame est une tache fastidieuse, il est judicieux d'automatiser l'identification des invariants qui ne sont pas affectés par une opération donnée. Nous présentons dans cette thèse une solution inférant automatiquement leur préservation. Notre solution a pour but de réduire le nombre de preuves à la charge du programmeur. Elle est basée sur l'analyse statique, et ne nécessite aucune annotation de frame. Notre stratégie consiste à combiner une analyse de dépendances avec une analyse de corrélations. Nous avons conçu et implémenté ces deux analyses statiques pour un langage fonctionnel fortement typé qui manipule structures, variants et tableaux. Typiquement, une propriété fonctionnelle ne dépend que de quelques fragments de l'état du programme. L'analyse de dépendances détermine quelles parties de cet état influent sur le résultat de la propriété fonctionnelle. De même, une fonction ne modifiera que certaines parties de ses arguments, copiant le reste à l'identique. L'analyse de corrélations détecte quelles parties de l'entrée d'une fonction se retrouvent copiées directement (i.e. non modifiés) dans son résultat. Ces deux analyses calculent une approximation conservatrice. Grâce aux résultats de ces deux analyses statiques, un prouveur de théorèmes interactif peut inférer automatiquement la préservation des invariants qui portent sur la partie non affectée par l’opération concernée. Nous avons appliqué ces deux analyses statiques à la spécification fonctionnelle d'un micro-noyau, et obtenu des résultats non seulement d'une précision adéquate, mais qui montrent par ailleurs que notre approche peut passer à l'échelleIn the field of software verification, the frame problem refers to establishing the boundaries within which program elements operate. It has notoriously tedious consequences on the specification of frame properties, which indicate the parts of the program state that an operation is allowed to modify, as well as on their verification, i.e. proving that operations modify only what is specified by their frame properties. In the context of interactive formal verification of complex systems, such as operating systems, much effort is spent addressing these consequences and proving the preservation of the systems' invariants. However, most operations have a localized effect on the system and impact only a limited number of invariants at the same time. In this thesis we address the issue of identifying those invariants that are unaffected by an operation and we present a solution for automatically inferring their preservation. Our solution is meant to ease the proof burden for the programmer. It is based on static analysis and does not require any additional frame annotations. Our strategy consists in combining a dependency analysis and a correlation analysis. We have designed and implemented both static analyses for a strongly-typed, functional language that handles structures, variants and arrays. The dependency analysis computes a conservative approximation of the input fragments on which functional properties and operations depend. The correlation analysis computes a safe approximation of the parts of an input state to a function that are copied to the output state. It summarizes not only what is modified but also how it is modified and to what extent. By employing these two static analyses and by subsequently reasoning based on their combined results, an interactive theorem prover can automate the discharching of proof obligations for unmodified parts of the state. We have applied both of our static analyses to a functional specification of a micro-kernel and the obtained results demonstrate both their precision and their scalability
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Sijobert, Benoît. "Assistive control of motion in sensorimotor impairments based on functional electrical stimulation." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTS079/document.
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Suite à une lésion (ex: blessure médullaire, accident vasculaire cérébral) ou une maladie neurodégénérative (ex: maladie de Parkinson), le système nerveux central humain peut être sujet à de multiples déficiences sensori-motrices menant à des handicaps plus ou moins lourds au cours du temps.Face aux méthodes thérapeutiques classiques, la stimulation électrique fonctionnelle (SEF) des muscles préservés permet de restaurer le mouvement et de fournir une assistance afin d’améliorer la condition des personnes atteintes et de faciliter leur réadaptation fonctionnelle.De nombreuses problématiques intrinsèques à la complexité du système musculo-squelettique et aux contraintes technologiques rendent néanmoins difficile la démocratisation de solutions de stimulation électro-fonctionnelle en dépit d’avancées majeures dans le domaine.Visant à favoriser l’utilisabilité et l’adaptabilité de telles solutions, cette thèse s’appuie sur un réseau de capteurs/actionneurs génériques embarqués sur le sujet, afin d’utiliser la connaissance issue de l’observation et l’analyse du mouvement pathologique des membres inférieurs pour étudier et valider expérimentalement de nouvelles solutions de commande de la SEF à travers une approche orientée-patientThe human central nervous system (CNS) can be subject to multiple dysfunctions. Potentially due to physical lesions (e.g.: spinal cord injuries, hemorrhagic or ischemic stroke) or to neurodegenerative disorders (e.g.: Parkinson’s disease), these deficiencies often result in major functional impairments throughout the years.As an alternative to usual therapeutic approaches, functional electrical stimulation (FES) of preserved muscles enables to assist individuals in executing functional movements in order to improve their daily life condition or to help enhancing rehabilitation process.Despite major technological advances in rehabilitation engineering, the complexity of the musculoskeletal system and the technological constraints associated have led to a very slow acceptance of neurorehabilitation technologies.To promote usability and adaptability, several approaches and algorithms were studied through this thesis and were experimentally validated in different clinical and pathological contexts, using low-cost wearable sensors combined to programmable stimulators to assess and control motion through a patient-centered approach
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Rubanova, Natalia. "MasterPATH : network analysis of functional genomics screening data." Thesis, Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCC109/document.
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Dans ce travail nous avons élaboré une nouvelle méthode de l'analyse de réseau à définir des membres possibles des voies moléculaires qui sont important pour ce phénotype en utilisant la « hit-liste » des expériences « omics » qui travaille dans le réseau intégré (le réseau comprend des interactions protéine-protéine, de transcription, l’acide ribonucléique micro-l’acide ribonucléique messager et celles métaboliques). La méthode tire des sous-réseaux qui sont construit des voies de quatre types les plus courtes (qui ne se composent des interactions protéine-protéine, ayant au minimum une interaction de transcription, ayant au minimum une interaction l’acide ribonucléique micro-l’acide ribonucléique messager, ayant au minimum une interaction métabolique) entre des hit –gènes et des soi-disant « exécuteurs terminaux » - les composants biologiques qui participent à la réalisation du phénotype finale (s’ils sont connus) ou entre les hit-gènes (si « des exécuteurs terminaux » sont inconnus). La méthode calcule la valeur de la centralité de chaque point culminant et de chaque voie dans le sous-réseau comme la quantité des voies les plus courtes trouvées sur la route précédente et passant à travers le point culminant et la voie. L'importance statistique des valeurs de la centralité est estimée en comparaison avec des valeurs de la centralité dans les sous-réseaux construit des voies les plus courtes pour les hit-listes choisi occasionnellement. Il est supposé que les points culminant et les voies avec les valeurs de la centralité statistiquement signifiantes peuvent être examinés comme les membres possibles des voies moléculaires menant à ce phénotype. S’il y a des valeurs expérimentales et la P-valeur pour un grand nombre des points culminant dans le réseau, la méthode fait possible de calculer les valeurs expérimentales pour les voies (comme le moyen des valeurs expérimentales des points culminant sur la route) et les P-valeurs expérimentales (en utilisant la méthode de Fischer et des transpositions multiples).A l'aide de la méthode masterPATH on a analysé les données de la perte de fonction criblage de l’acide ribonucléique micro et l'analyse de transcription de la différenciation terminal musculaire et les données de la perte de fonction criblage du procès de la réparation de l'ADN. On peut trouver le code initial de la méthode si l’on suit le lien https://github.com/daggoo/masterPATHIn this work we developed a new exploratory network analysis method, that works on an integrated network (the network consists of protein-protein, transcriptional, miRNA-mRNA, metabolic interactions) and aims at uncovering potential members of molecular pathways important for a given phenotype using hit list dataset from “omics” experiments. The method extracts subnetwork built from the shortest paths of 4 different types (with only protein-protein interactions, with at least one transcription interaction, with at least one miRNA-mRNA interaction, with at least one metabolic interaction) between hit genes and so called “final implementers” – biological components that are involved in molecular events responsible for final phenotypical realization (if known) or between hit genes (if “final implementers” are not known). The method calculates centrality score for each node and each path in the subnetwork as a number of the shortest paths found in the previous step that pass through the node and the path. Then, the statistical significance of each centrality score is assessed by comparing it with centrality scores in subnetworks built from the shortest paths for randomly sampled hit lists. It is hypothesized that the nodes and the paths with statistically significant centrality score can be considered as putative members of molecular pathways leading to the studied phenotype. In case experimental scores and p-values are available for a large number of nodes in the network, the method can also calculate paths’ experiment-based scores (as an average of the experimental scores of the nodes in the path) and experiment-based p-values (by aggregating p-values of the nodes in the path using Fisher’s combined probability test and permutation approach). The method is illustrated by analyzing the results of miRNA loss-of-function screening and transcriptomic profiling of terminal muscle differentiation and of ‘druggable’ loss-of-function screening of the DNA repair process. The Java source code is available on GitHub page https://github.com/daggoo/masterPATH
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Beisser, Daniela [Verfasser], and Thomas [Akademischer Betreuer] Dandekar. "Integrated functional analysis of biological networks = Integrierte funktionelle Analyse biologischer Netzwerke / Daniela Beisser. Betreuer: Thomas Dandekar." Würzburg : Universitätsbibliothek der Universität Würzburg, 2012. http://d-nb.info/1021307378/34.
Full textBooks on the topic "Functional analyse"
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Bony, J. M. Analyse. [Palaiseau, France]: Ecole polytechnique, Dép. de mathématiques, 1991.
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Samuelides, M. Analyse fonctionnelle. Toulouse: Cepadues-Editions, 1989.
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K, Nikolʹskiĭ N., ed. Functional analysis I: Linear functional analysis. Berlin: Springer-Verlag, 1992.
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Rudin, Walter. Functional analysis. 2nd ed. New York: McGraw-Hill, 1991.
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Leszek, Demkowicz, ed. Applied functional analysis. 2nd ed. Boca Raton: Chapman & Hall/CRC, 2010.
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Milojević, P. S. Nonlinear functional analysis. New York: M. Dekker, 1990.
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Guichardet, A. Intégration, analyse hilbertienne. Paris: Editions Marketing, 1989.
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Deimling, Klaus. Nonlinear functional analysis. Mineola, N.Y: Dover Publications, 2010.
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Deimling, Klaus. Nonlinear functional analysis. Mineola, N.Y: Dover Publications, 2010.
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Nonlinear functional analysis. Berlin: Springer-Verlag, 1985.
Find full textBook chapters on the topic "Functional analyse"
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Spirgi-Gantert, Irene, and Markus Oehl. "Das Analyse-Konzept." In FBL Klein-Vogelbach Functional Kinetics, 11–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-54102-9_2.
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Spirgi-Gantert, Irene, and Barbara Suppé. "Das Analyse-Konzept." In FBL Klein-Vogelbach Functional Kinetics: Therapeutische Übungen, 13–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-20813-3_2.
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Faure, Robert. "Oscillations et Analyse Non Lineaire: Proprietes Des Pulsations Des Solutions Periodiques (Cycles) De Certaines Equation Differentielles Autonomes Non Lineaires. Application De La Theorie DU Degre De Leray Schauder." In Nonlinear Functional Analysis and Its Applications, 217–21. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4632-3_14.
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Manfrino, Radmila Bulajich, José Antonio Gómez Ortega, and Rogelio Valdez Delgado. "Functions and Functional Equations." In Topics in Algebra and Analysis, 89–114. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11946-5_6.
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Sljoka, Adnan. "Structural and Functional Analysis of Proteins Using Rigidity Theory." In Sublinear Computation Paradigm, 337–67. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4095-7_14.
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AbstractOver the past two decades, we have witnessed an unprecedented explosion in available biological data. In the age of big data, large biological datasets have created an urgent need for the development of bioinformatics methods and innovative fast algorithms. Bioinformatics tools can enable data-driven hypothesis and interpretation of complex biological data that can advance biological and medicinal knowledge discovery. Advances in structural biology and computational modelling have led to the characterization of atomistic structures of many biomolecular components of cells. Proteins in particular are the most fundamental biomolecules and the key constituent elements of all living organisms, as they are necessary for cellular functions. Proteins play crucial roles in immunity, catalysis, metabolism and the majority of biological processes, and hence there is significant interest to understand how these macromolecules carry out their complex functions. The mechanical heterogeneity of protein structures and a delicate mix of rigidity and flexibility, which dictates their dynamic nature, is linked to their highly diverse biological functions. Mathematical rigidity theory and related algorithms have opened up many exciting opportunities to accurately analyse protein dynamics and probe various biological enigmas at a molecular level. Importantly, rigidity theoretical algorithms and methods run in almost linear time complexity, which makes it suitable for high-throughput and big-data style analysis. In this chapter, we discuss the importance of protein flexibility and dynamics and review concepts in mathematical rigidity theory for analysing stability and the dynamics of protein structures. We then review some recent breakthrough studies, where we designed rigidity theory methods to understand complex biological events, such as allosteric communication, large-scale analysis of immune system antibody proteins, the highly complex dynamics of intrinsically disordered proteins and the validation of Nuclear Magnetic Resonance (NMR) solved protein structures.
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Leutgeb, Lorenz, Georg Moser, and Florian Zuleger. "Automated Expected Amortised Cost Analysis of Probabilistic Data Structures." In Computer Aided Verification, 70–91. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13188-2_4.
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AbstractIn this paper, we present the first fully-automated expected amortised cost analysis of self-adjusting data structures, that is, of randomised splay trees, randomised splay heaps and randomised meldable heaps, which so far have only (semi-)manually been analysed in the literature. Our analysis is stated as a type-and-effect system for a first-order functional programming language with support for sampling over discrete distributions, non-deterministic choice and a ticking operator. The latter allows for the specification of fine-grained cost models. We state two soundness theorems based on two different—but strongly related—typing rules of ticking, which account differently for the cost of non-terminating computations. Finally we provide a prototype implementation able to fully automatically analyse the aforementioned case studies."Image missing"
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Borgonovo, Emanuele. "Multilinear Functions: Taylor Versus Functional ANOVA Expansions." In Sensitivity Analysis, 79–88. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52259-3_9.
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Silverman, Bernard W. "Function Estimation and Functional Data Analysis." In Progress in Mathematics, 407–27. Basel: Birkhäuser Basel, 1994. http://dx.doi.org/10.1007/978-3-0348-9112-7_17.
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Yosida, Kôsaku. "Preliminaries." In Functional Analysis, 1–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-61859-8_1.
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Yosida, Kôsaku. "Analytical Theory of Semi-groups." In Functional Analysis, 231–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-61859-8_10.
Full textConference papers on the topic "Functional analyse"
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Laurent, C., M. Baragatti, J. Taylor, T. Scholasch, A. Metay, and B. Tisseyre. "Evaluation of a functional Bayesian method to analyse time series data in precision viticulture." In 12th European Conference on Precision Agriculture. The Netherlands: Wageningen Academic Publishers, 2019. http://dx.doi.org/10.3920/978-90-8686-888-9_7.
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Orakov, Askarbek, Nazgul Sakenova, Igor Goraynin, and Anatoly Sorokin. "A novel computational method to analyse metagenome for understanding of microbial community composition and functional potential." In 2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). IEEE, 2017. http://dx.doi.org/10.1109/iciibms.2017.8279735.
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Wen, Gaojie, Xiaocui Li, Li Tian, and Jun Ren. "Dynamic current monitoring and probe laser simulation strategy to analyse complicated functional failure on mixed signal integrated circuit." In 2017 IEEE 24th International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA). IEEE, 2017. http://dx.doi.org/10.1109/ipfa.2017.8060073.
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Esat, Volkan, and Memis Acar. "Biomechanical Response of a Functional Spine Unit Under Various Loading Conditions: A Viscoelastic Finite Element Approach." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61728.
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Biomechanical and epidemiologic studies state that recreational activity and industrial work, embodying static work postures, physically heavy tasks, frequent bending, and twisting motions, lifting and sudden loading incidents are highly related to low back pain disorders. In order to provide a comprehensive understanding of the low back pain under severe and traumatic static and dynamic loading conditions, the finite element (FE) technique is widely used as a computational method to model, simulate and analyse the behaviour of the spinal segments in the lumbar spine, which are much more difficult with in vitro and in vivo experimental studies. Intervertebral discs, having many other functions, support a huge extent of the compressive loadings the trunk is subjected to. The results of the FE analyses can be employed to understand the injury mechanisms occurring in and about the intervertebral discs, providing stress and strain distributions, and to aid the therapists in selecting the type of treatment for low back pain, and in developing guidelines for industrial safety.
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Sargautis, Darius, Tatjana Kince, and Vanda Sargautiene. "Review: current trends in oat protein recovery and utilization in aqueous food systems." In Research for Rural Development 2021 : annual 27th International scientific conference proceedings. Latvia University of Life Sciences and Technologies, 2021. http://dx.doi.org/10.22616/rrd.27.2021.011.
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Oat protein itself, as a substance, has extensively been studied providing information on its nutritional value, some functional properties and possible applicability in food systems. Chosen protein isolation methods and technological aspects define final composition of obtained oat protein product, its concentration, nutrition value and its functionality in food industry. Scientific data on oat protein recovery methods, typically relying on protein solubility or dry fractionation, provides an insufficient knowledge about the success in commercialization of oat protein recovery technologies and their derivatives in form of oat protein. The aim of the study was to analyse and summarize the research findings on oat protein extraction methods and functional properties of oat protein. Semi-systematic, monographic methods were used to analyse the oat protein isolation techniques, functional properties of oat protein in aqueous food systems, covering the latest information on oat protein extraction methods. Wet and dry isolation methods were demonstrated as main methods in oat protein extraction. Functional properties of oat protein, such as thermal stability, solubility, emulsification, water hydration capacity and foaming were reviewed and evaluated, identifying limitations and protein alterations which occur through the oat protein extraction process. The study provides recent trends in oat protein recovery technologies, along with an overview of current and potential oat protein utilization in food systems.
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Vermaas, Pieter E. "On Engineering Meanings and Representations of Technical Functions." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49342.
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In this paper I consider the relations between the different meanings and representations of the concept of technical function that are in use in engineering design methodology. I focus on two representation schemes — the verb-noun and the operation-on-flows representations — and analyse whether representations of technical functions created with the one scheme can be transposed into representations of the same functions with the other scheme. I argue that the answer depends on the particular meaning of function that one adopts. When functions of technical systems refer to behaviours of those systems, then the two representations can be reciprocally transposed following the rule that the verbs in the verb-noun representations correspond to the operations in the operation-on-flows representations, and the nouns to the (main) flows. When, however, technical functions refer to the purposes for which systems are designed, it can be argued that these representations cannot be transposed using this rule. The reason for this result is that operation-on-flows combinations, where the flows are flows through technical systems, are, in general, not suited to represent purposive technical functions of the systems. In a subsidiary and more explorative discussion I focus on the transposition of verb-noun representations of purposive functions into operation-on-flows representations of behavioural functions in design methodologies such as the Functional Basis account of Robert Stone and Kristin Wood.
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Esat, Volkan, and Memis Acar. "A Finite Element Investigation of a Functional Spine Unit in Conjunction With a Multi-Body Model of the Lumbar Spine for Impact Dynamics." In ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58527.
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In this study, the finite element (FE) technique was used in conjunction with multi-body modelling to simulate and analyse the dynamic behaviour of the spinal segments in order to investigate the effects of impact loadings on the lumbar spine. A 3-D multi-body model of the lumbar spine and an FE model of the L2-L3 motion segment were developed. Both models were validated for flexion and compression loadings, showing good agreements with a previously validated lumbar spine model. The predictions of the multi-body model under dynamic impact loading conditions such as reaction forces at lumbar motion segments were employed as force boundary conditions for the finite element model of the selected functional spine unit (FSU). Stress and pressure in the intervertebral disc element and the reaction force at a specific vertebral level were presented. This approach has the potential to more realistically simulate the dynamics of spinal segments and whole spine, and study the effects on spinal elements.
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Brack, Stefan, and Yannick Muller. "Probabilistic Analysis of the Secondary Air System of a Low-Pressure Turbine." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-26184.
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The present investigation aims at performing a probabilistic analysis of the secondary air system of a three-stage low-pressure turbine rotor in a jet engine. Geometrical engine to engine variations due to the tolerance of the different parts as well as the variation of engine performance parameters are taken into account to analyse the impact on the aerodynamic behaviour of the secondary air system. Three main functions of the secondary air system have been investigated at one engine condition — take-off. At first the variation of the turbine rotor cooling flow consumption was studied. Secondly the axial bearing loads were considered and finally the system was analysed with regard to its robustness towards disc space hot gas ingestion. To determine the uncertainty in the accomplishment of these tasks and to identify the major variation drivers, a Latin Hypercube sampling method coupled with the correlation coefficient analysis was applied to the 1D flow model. The incapability of the correlation coefficient analysis to deal with functional relationships of not monotonic behaviour or strong interaction effects was compensated by additionally applying in such cases an Elementary Effect analysis to determine the influential variables. As the 1D flow model cannot consider thermal and centrifugal growth effects, a simple mathematical model was deduced from the physical dependencies enhancing the 1D flow model to approximately capture the impact of these effects on the labyrinth seals. Results showed that the cooling mass flow and axial bearing load are both normally distributed while their uncertainties are mainly induced by the uncertainties of the state variable of the primary air system. The investigated chamber temperature ratio to analyse the hot gas ingestion showed a not normally distributed histogram and a strong influence of interaction terms. Therefore the results of the correlation coefficient analysis were complemented with the results of an Elementary Effect analysis.
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Rasskazova, Ieva, and Asnate Kirse-Ozolina. "Field pea Pisum Sativum L. as a perspective ingredient for vegan foods: a review." In Research for Rural Development 2020. Latvia University of Life Sciences and Technologies, 2020. http://dx.doi.org/10.22616/rrd.26.2020.019.
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Dry seeds of peas (Pisum sativum L.) have long been used as a staple food and feed globally, and its nutritional, health and ecological benefits comply with growing demand for novel vegan foods intended for health and sustainability conscious individuals. The aim of this study was to review research findings and latest information on field pea usage as a functional ingredient in vegan foods. Monographic method was used to analyse field pea Pisum sativum L. usage as a diverse and multifunctional ingredient in vegan foods, covering latest available information on chemical composition of field pea and main food ingredients made from field pea, focusing on the varieties from which yellow split pea is produced; their impact on ready product’s nutrition, sensory properties and application in food industry. Major types of novel vegan foods containing field peas available on market were named. Pea protein, starch and fibre have demonstrated functional properties in different food systems, including – emulsification, oil-in-water system stabilisation, texture modification, binding, gelation, foaming, and solubility. It is functionally possible and nutritionally and ecologically desirable to develop novel vegan foods intended as animal product alternatives with acceptable sensory properties.
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Ghosh, Gourhari, Ajay Sidpara, and P. P. Bandyopadhyay. "Characterization of Nanofinished WC-Co Coating Using Advanced 3D Surface Texture Parameters." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6592.
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WC-Co coatings are extensively used in abrasion, sliding, and erosion resistance applications for its favourable mechanical properties. Nanofinishing of WC-Co coating is required for aircraft landing gear cylinder and diesel engine cylinder. Characterisation of surface topography becomes an important aspect in tribological applications as it has significant effect on the functional performance of the surfaces. In this present study, the motif analysis with 5% wolf pruning is applied to identify the significant hills for pattern reorganization of the surface texture generated by different finishing steps such as grinding, shape adaptive grinding (SAG) and chemical assisted SAG (CA-SAG). Several 3D advanced texture parameters are employed to characterize the coated surface before and after finishing in terms of surface roughness, third and fourth moments (skewness and kurtosis) of the probability density function, bearing area ratio curve and fluid retention properties of the surface. Furthermore, power spectral density (PSD) analysis is performed to analyse the unevenness and periodicity of the texture. It is observed that the fluid retention property and the bearing property of the surface improve with the subsequent finishing stage.
Reports on the topic "Functional analyse"
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Diprose, Rachael, Primatia Wulandari, Elena Williams, and Levriana Yustriani. Bureaucratic Reform in Indonesia: Policy Analyst Experiences. University of Melbourne with Knowledge Sector Initiative (KSI), 2020. http://dx.doi.org/10.46580/124364.
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In recent years, Indonesia has introduced reforms to its bureaucracy in response to critiques of the quality of government policy design and delivery. The Grand Design of Bureaucratic Reform strategy seeks to reduce the number of civil servants employed in administrative or managerial positions (structural appointments) in favour of skills-based recruitment into ‘functional’ positions. Specifically, the introduction of the ‘policy analyst’ position as a functional position in the civil service has sought to improve evidence-based policy making and the quality of policy outcomes, by incorporating merit-based recruitment, appointment and promotion. The role of functional policy analysts (Jabatan Fungsional Analis Kebijakan or JFAKs) is to assist policy makers in identifying policy issues, analyse evidence available on these issues, and ultimately make policy recommendations. This report overviews the recent experiences of different policy analyst cohorts since the role’s creation in 2015. It investigates these experiences to better understand the extent to which policy analysts are playing the role intended for them, and the factors enabling or inhibiting this.
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Lu, Dengwei, Enjie Tang, Supeng Yin, Yizeng Sun, Yuquan Yuan, Tingjie Yin, Zeyu Yang, and Fan Zhang. Intraoperative strategies in identification and functional protection of parathyroid gland for patients with thyroidectomy: A network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0109.
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Review question / Objective: To assess the roles of intraoperative visualization of parathyroid glands (IVPG) strategies including autofluorescence (AF), indocyanine green (ICG) fluorescence and carbon nanoparticles (CN) in identification and functional protection of parathyroid glands (PGs). Condition being studied: The IVPG strategy is essential for intraoperative identification and functional protection of PGs in patients undergoing thyroid surgery. Recent studies have revealed that autofluorescence (AF), indocyanine green (ICG) fluorescence, and carbon nanoparticles (CN) contribute to reducing the incidence of postoperative hypocalcemia by improving PGs identification(6-8). However, different IVPGs have respective superiority and inferiority in clinical application. Thus, this network meta-analysis aimed to systematically analyze the significance of IVPG strategy in identifying PGs and protecting their function.
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Nieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 18. Hilbert Press, 2018. http://dx.doi.org/10.56441/hilbertpress.1818.9585.
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CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI). Connectivity measures include seed-to-voxel connectivity maps, ROI-to- ROI connectivity matrices, graph properties of connectivity networks, generalized psychophysiological interaction models (gPPI), intrinsic connectivity, local correlation and other voxel-to-voxel measures, independent component analyses (ICA), and dynamic component analyses (dyn-ICA). CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing, including spatial coregistration, ART-based scrubbing, aCompCor strategy for control of physiological and movement confounds, first-level connectivity estimation, and second-level random-effect analyses and hypothesis testing.
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Nieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 20. Hilbert Press, 2020. http://dx.doi.org/10.56441/hilbertpress.2048.3738.
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CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI). Connectivity measures include seed-to-voxel connectivity maps, ROI-to- ROI connectivity matrices, graph properties of connectivity networks, generalized psychophysiological interaction models (gPPI), intrinsic connectivity, local correlation and other voxel-to-voxel measures, independent component analyses (ICA), and dynamic component analyses (dyn-ICA). CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing, including spatial coregistration, ART-based scrubbing, aCompCor strategy for control of physiological and movement confounds, first-level connectivity estimation, and second-level random-effect analyses and hypothesis testing.
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Nieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 19. Hilbert Press, 2019. http://dx.doi.org/10.56441/hilbertpress.1927.9364.
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CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI). Connectivity measures include seed-to-voxel connectivity maps, ROI-to- ROI connectivity matrices, graph properties of connectivity networks, generalized psychophysiological interaction models (gPPI), intrinsic connectivity, local correlation and other voxel-to-voxel measures, independent component analyses (ICA), and dynamic component analyses (dyn-ICA). CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing, including spatial coregistration, ART-based scrubbing, aCompCor strategy for control of physiological and movement confounds, first-level connectivity estimation, and second-level random-effect analyses and hypothesis testing.
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Lers, Amnon, and Pamela J. Green. LX Senescence-Induced Ribonuclease in Tomato: Function and Regulation. United States Department of Agriculture, September 2003. http://dx.doi.org/10.32747/2003.7586455.bard.
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Natural leaf senescence, which occurs even when growth conditions are near optimal, has a negative influence on yield. Postharvest induced senescence contributes to the losses of quality in flowers, foliage, and vegetables. Strategies designed to control the senescence process in crop plants could therefore have great applied significance. However, the successful design of such strategies requires a better insight into the senescence machinery and control in higher plants. A main feature of senescence is the hydrolysis of macromolecules by hydrolases of various types such as ribonucleases (RNases) and proteases. Previously we had identified and characterized the tomato LX RNase gene demonstrating its transcript to be highly and specifically induced during senescence. This reported study was focused on LX but also had broadened our research to other senescence-associated nucleic acids degrading enzymes to learn about their function and the regulation of their encoding genes. Beside tomato we used parsley and Arabidopsis for the study of: the bi-functional nuclease which has a role in senescence. The study of different senescence- associated nucleases in few plant systems will allow a more general view on function and regulation of these enzymes in senescence. The specific original proposed objectives included: 1. Study the consequences of alterations in LX RNase level on tomato leaf senescence and general development; 2. Analyze stimuli which may participate in senescence-specific activation of the LX gene; 3. Clone the senescence-associated BFNI nuclease gene homologue from tomato. 4. Further characterize the sequences required for senescence-specific gene expression. Homozygous transgenic plants in which LX gene was either inhibited or over-expressed were generated. In both of these LX mutated plants no major phenotypic consequences were observed, which may suggests that LX is not essential for plant growth under optimal growth conditions. Lack of any abnormalities in the LX over-expressing lines suggests that special system exist to allow function of the RNase only when needed. Detailed analyses of growth under stress and consequences to RNA metabolism are underway. We have analyzed LX expression on the protein level demonstrating that it is involved also in petal senescing. Our results suggest that LX is responding to complex regulation involving developmental, organ dependent factors and responds differently to hormonal or environmental stimuli in the different plant organs. The cloned 1.4 kb promoter was cloned and its analysis revealed that probably not all required elements for senescence induction are included. Biochemical analysis of senescence-associated be-functional nucleases in the different plants, tomato, parsley and Arabidopsis, suggests they belong to a sub-class within the type I plant nucleases. The parsley PcNUC1/2 nuclease protein was purified from senescing leaves its and activity was studied in vitro revealing endo-, double strand, nucleolytic activity and exo-nucleolytic activity. Its encoding gene was cloned and found to be induced on the mRNA level. The promoter of the related Arabidopsis BFNI nuclease was shown in both tomato and Arabidopsis to be able and direct senescence-specific expression suggesting that, at least part, the gene is regulated on the transcriptional level and that the mechanism for this senescence-specific regulation is conserved between different plants. Few plants in which the BFNI gene is mutated were identified which are subjected now to detailed analysis. Our results suggest that the senescence-related nucleic acid degrading enzymes share similarities in both function and regulation between different plants and possibly have important functions in processes un-related to senescence. Still, the function of these enzymes, at least in some cases is not essential to plant development under optimal growth conditions. We are now at the stage which permits in depth investigation of the specific functions and mode of molecular regulation of senescence-associated nucleases with the aid of the research tools developed. The isolated senescence-specific promoter, shown to be active in heterologous plant system, could be utilized in agricultural-related biotechnological applications for retardation of senescence.
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Schalk, Gerwin. Methods for Functional Connectivity Analyses. Fort Belvoir, VA: Defense Technical Information Center, December 2012. http://dx.doi.org/10.21236/ada581750.
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Matthews, Lisa, Guanming Wu, Robin Haw, Timothy Brunson, Nasim Sanati, Solomon Shorser, Deidre Beavers, Patrick Conley, Lincoln Stein, and Peter D'Eustachio. Illuminating Dark Proteins using Reactome Pathways. Reactome, October 2022. http://dx.doi.org/10.3180/poster/20221027matthews.
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Diseases are often the consequence of proteins or protein complexes that are non-functional or that function improperly. An active area of research has focused on the identification of molecules that can interact with defective proteins and restore their function. While 22% percent of human proteins are estimated to be druggable, less than fifteen percent are targeted by FDA-approved drugs, and the vast majority of untargeted proteins are understudied or so-called "dark" proteins. Elucidation of the function of these dark proteins, particularly those in commonly drug-targeted protein families, may offer therapeutic opportunities for many diseases. Reactome is the most comprehensive, open-access pathway knowledgebase covering 2585 pathways and including 14246 reactions, 11088 proteins, 13984 complexes, and 1093 drugs. Placing dark proteins in the context of Reactome pathways provides a framework of reference for these proteins facilitating the generation of hypotheses for experimental biologists to develop targeted experiments, unravel the potential functions of these proteins, and then design drugs to manipulate them. To this end, we have trained a random forest with 106 protein/gene pairwise features collected from multiple resources to predict functional interactions between dark proteins and proteins annotated in Reactome and then developed three scores to measure the interactions between dark proteins and Reactome pathways based on enrichment analysis and fuzzy logic simulations. Literature evidence via manual checking and systematic NLP-based analysis support predicted interacting pathways for dark proteins. To visualize dark proteins in the context of Reactome pathways, we have also developed a new website, idg.reactome.org, by extending the Reactome web application with new features illustrating these proteins together with tissue-specific protein and gene expression levels and drug interactions.
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Tavares, João, Lígia Passos, Daniela Figueiredo, Larissa Pedreira, Elaine Souza, and Lélia Oliveira. Atypical presentation of COVID-19 in older adults: a scoping review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2021. http://dx.doi.org/10.37766/inplasy2021.10.0103.
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Review question / Objective: The review questions of this scoping are: 1) What are the atypical presentations of symptoms of COVID-19 and its prevalence in older adults (60 or more years) that have been reported? 2) What are the demographic and clinical characteristics of older adults (60 or more years) with atypical presentations of symptoms of COVID-19? 3) What are the clinical outcomes for older adults with atypical presentations (60 or more years) of covid-19? The objective of this scoping review is to identify and analyse the atypical presentation of symptoms of COVID-19 in older adults. Eligibility criteria: Participants: This scoping review will consider all studies that included persons with 60 years or over. Concept: This scoping review will include studies that focus on atypical presentations of Covid-19. Atypical presentation was defined as an absence of the typical symptoms of COVID-19 and the presence of unusual symptoms such as, but not limited to, delirium, fall, functional impairment, reduce oral intake, chest pain, etc. Context: This scoping review will consider all contexts, but not limited to, of hospital, long-term care, primary care, community services and home care.
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Bernards, Andre. Functional Analysis of Drosophila NF1. Fort Belvoir, VA: Defense Technical Information Center, July 2005. http://dx.doi.org/10.21236/ada444270.
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