Bibliografias temáticas / Signature ARN

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Literatura científica selecionada sobre o tema "Signature ARN"

Autor: Grafiati
Publicado: 12 de abril de 2025

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Artigos de revistas sobre o assunto "Signature ARN"

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Auroux, M., M. Millet, B. Merle, E. Fontanges, F. Duvert, E. Gineyts, J. C. Rousseau et al. "Évaluation de la signature micro-ARN dans l’arthrose digitale". Revue du Rhumatisme 89 (dezembro de 2022): A99—A100. http://dx.doi.org/10.1016/j.rhum.2022.10.140.

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Ishiuchi, Shun-ichi, Makoto Sakai, Yuji Tsuchida, Akihiro Takeda, Yasutake Kawashima, Otto Dopfer, Klaus Müller-Dethlefs e Masaaki Fujii. "IR signature of the photoionization-induced hydrophobic→hydrophilic site switching in phenol-Arn clusters". Journal of Chemical Physics 127, n.º 11 (21 de setembro de 2007): 114307. http://dx.doi.org/10.1063/1.2775935.

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Marie-Claire, C. "Existe-t’il une signature moléculaire de la réponse au lithium dans le trouble bipolaire ?" European Psychiatry 29, S3 (novembro de 2014): 558. http://dx.doi.org/10.1016/j.eurpsy.2014.09.367.

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Bien que le lithium soit le traitement de première ligne pour la prévention des rechutes dans le trouble bipolaire seuls 30 % des patients sont de bons répondeurs. Ainsi, un sous-groupe important des patients, traités avec du lithium, présente des taux élevés de rechute. En l’absence de marqueurs cliniques prédictifs de réponse il reste difficile de prédire avec précision quels patients répondront en évitant de les soumettre à de longues périodes de traitements au lithium. L’identification de biomarqueurs prédictifs est donc un enjeu majeur pour améliorer la prise en charge des patients bipolaires. Le mécanisme d’action du lithium est complexe car il exerce une action inhibitrice ou activatrice sur plusieurs voies de signalisation cellulaires. L’ensemble de ces cibles et effecteurs contribuent aux effets neuroprotecteurs dans le cerveau et de stabilisation de l’humeur et complexifient la compréhension de la réponse prophylactique au lithium. Les études visant à identifier une corrélation entre la réponse au lithium et des mutations de gènes ont produit des résultats controversés. Afin de mieux comprendre la variabilité de la réponse au lithium, une approche complémentaire aux études génétiques, consiste à étudier les effets moléculaires induits par un traitement aigu ou chronique au lithium. Il a ainsi été montré que le lithium module les niveaux d’expression de gènes au niveau des ARN messagers, des protéines aussi des miRNA dans plusieurs modèles in vivo et in vitro. Ces études ouvrent de nouvelles voies de recherche pour identifier des biomarqueurs de la réponse prophylactique au lithium pouvant être transférés en clinique afin d’éviter de longues périodes de traitement inefficace au lithium et élaborer des stratégies de traitement plus personnalisées.
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Patel, Palak. "Signature Verification Using Artificial Neural Network". International Journal of Advanced Research in Computer Science and Software Engineering 7, n.º 12 (3 de janeiro de 2018): 40. http://dx.doi.org/10.23956/ijarcsse.v7i12.494.

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The human signature is most important for access. Signature of the person is important biometric attribute of a human being which is used to authenticate human identity. There are many biometric characteristics by which one can have own identity like face recognition, fingerprint detection, iris inspection and retina scanning. In non-vision based techniques voice recognition and signature verification are most widely used. Verification can be performed either Online or Offline. Online system of signature verification uses dynamic information of a signature captured at the time the signature is made. Offline system uses scanned image of signature. In this paper, I present a method for Offline Verification of signatures using a set of simple shape based geometric features. As signatures play an important role in financial, commercial and legal transactions, truly secured authentication becomes more and more crucial. This paper presents the off-line signature recognition & verification using neural network in which the human signature is captured and presented in the image format. Various image processing techniques are used to recognize and verify the signature. Preprocessing of a scanned image is necessary to isolate the signature part and to remove any spurious noise present. Initially system use database of signatures obtained from those individuals whose signatures have to be authenticated by the system. Then artificial neural network (ANN) is used to verify and classify the signatures. The implementation details and results are discussed in the paper.
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S. Kadhm, Mustafa, Mamoun Jassim Mohammed e Hayder Ayad. "An accurate signature verification system based on proposed HSC approach and ANN architecture". Indonesian Journal of Electrical Engineering and Computer Science 21, n.º 1 (1 de janeiro de 2021): 215. http://dx.doi.org/10.11591/ijeecs.v21.i1.pp215-223.

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<span>With the rapid development of technology in all life fields, and due to the huge daily needs for banking systems process, documents processing and other similar systems. The authentication became more required key for these systems. One of the successful system to verify the any person is the signature verification system. However, a reliable and accurate system is still needed. For this reason, the security challenge is take place via authentic signatures. However, a reliable and accurate system is still needed. For this reason, the security challenge is take place via authentic signatures. Therefore, this paper present a reliable signature verification system using proposed histogram of sparse codes (HSC) feature extraction approach and artificial neural networks (ANN) architecture for classification. The system achieved fast computing 0.09 ms and accurate verification results that is 99.7% using three different signature images datasets CEDAR, UTSig, and ICDAR.</span>
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Raimondo, Diego, Antonio Raffone, Agnese Virgilio, Stefano Ferla, Manuela Maletta, Daniele Neola, Antonio Travaglino et al. "Molecular Signature of Endometrial Cancer with Coexistent Adenomyosis: A Multicentric Exploratory Analysis". Cancers 15, n.º 21 (30 de outubro de 2023): 5208. http://dx.doi.org/10.3390/cancers15215208.

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Adenomyosis has been associated with better survival outcomes in women with endometrial cancer. However, although the endometrial cancer patients’ risk stratification has been revolutionized by molecular findings, the impact of the molecular signature on the favorable prognosis of endometrial cancer patients with coexistent adenomyosis is unknown. The aim of our study was to compare the prevalence of molecular groups at poor and intermediate prognosis between endometrial cancer patients with and without coexistent adenomyosis. A multicentric, observational, retrospective, cohort study was performed to assess the differences in the prevalence of p53-abnormal expression (p53-abn) and mismatch repair protein-deficient expression (MMR-d) signatures between endometrial cancer patients with and without coexistent adenomyosis. A total of 147 endometrial cancer patients were included in the study: 38 in the adenomyosis group and 109 in the no adenomyosis group. A total of 37 patients showed the MMR-d signature (12 in the adenomyosis group and 25 in the no adenomyosis group), while 12 showed the p53-abn signature (3 in the adenomyosis group and 9 in the no adenomyosis group). No significant difference was found in the prevalence of p53-abn (p = 1.000) and MMR-d (p = 0.2880) signatures between endometrial cancer patients with and without coexistent adenomyosis. In conclusion, the molecular signature does not appear to explain the better prognosis associated with coexistent adenomyosis in endometrial cancer patients. Further investigation of these findings is necessary through future larger studies.
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Jain, Arpit, Jaspreet Singh, Sandeep Kumar, Țurcanu Florin-Emilian, Mihaltan Traian Candin e Premkumar Chithaluru. "Improved Recurrent Neural Network Schema for Validating Digital Signatures in VANET". Mathematics 10, n.º 20 (20 de outubro de 2022): 3895. http://dx.doi.org/10.3390/math10203895.

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Vehicular ad hoc networks (VANETs) allow communication between stationary or moving vehicles with the assistance of wireless technology. Among various existing issues in smart VANETs, secure communication is the key challenge in VANETs with a 5G network. Smart vehicles must communicate with a broad range of advanced road systems including traffic control and smart payment systems. Many security mechanisms are used in VANETs to ensure safe transmission; one such mechanism is cryptographic digital signatures based on public key infrastructure (PKI). In this mechanism, secret private keys are used for digital signatures to validate the identity of the message along with the sender. However, the validation of the digital signatures in fast-moving vehicles is extremely difficult. Based on an improved perceptron model of an artificial neural network (ANN), this paper proposes an efficient technique for digital signature verification. Still, manual signatures are extensively used for authentication across the world. However, manual signatures are still not employed for security in automotive and mobile networks. The process of converting manual signatures to pseudo-digital-signatures was simulated using the improved Elman backpropagation (I-EBP) model. A digital signature was employed during network connection to authenticate the legitimacy of the sender’s communications. Because it contained information about the vehicle on the road, there was scope for improvement in protecting the data from attackers. Compared to existing schemes, the proposed technique achieved significant gains in computational overhead, aggregate verification delay, and aggregate signature size.
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Kumalasanti, R. A. "Comparison of Static Signature Identification using Artificial Neural Networks Based on Haar, Daubechies and Symlets Wavelet Transformations". International Journal of Applied Sciences and Smart Technologies 4, n.º 1 (27 de junho de 2022): 97–108. http://dx.doi.org/10.24071/ijasst.v4i1.4786.

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Signature is a biometric attribute that is quite important for each individual that can be used as self-identity. Until now, the signature is still used as a sign of legal approval and is agreed upon by everyone. This makes the signature worthy of attention from a security aspect. Various approaches have been proposed in the development of signature identification to minimize signature forgery. This study will discuss the identification of signatures by using the image of the signature on paper. This identification consists of two processes, namely training and testing by utilizing Artificial Neural Networks Backpropagation and Wavelet Transform. Optimal results are obtained by using ANN which has learning rate 0,09, two hidden layers, each 20 and 10 nodes with the most superior Wavelet Haar reaching 94.44%.
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Priyadarshini, K., Nisanth Sai A, P. Sai Krishna e Dr Shruti Bhargava Choubey. "Signature Verification Using Neural Network". International Journal for Research in Applied Science and Engineering Technology 10, n.º 3 (31 de março de 2022): 1609–22. http://dx.doi.org/10.22214/ijraset.2022.40948.

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Abstract: In this paper we are about to present a latest improved off-line signature verification system using global and texture features of the signatures. This version is based on the technique that applies pre-processing on the signature to get a binary image and then calculate the global and features points from it and than maintain a updated vector. All calculations are done on the basis of these feature points. The feature vector obtained from the global and texture features is used to compare with the feature vector of incoming testing signature. Based on the values obtained, the network will decide the appropriateness of the signature. The suggested scheme discriminates between original and the forged signatures using artificial neural network (ANN) for training and verification of signatures. The method takes care of simple and the random forgeries and the skilled forgeries are also eliminated in greater extent. The objective of the work is to reduce two vital parameters, False Acceptance Rate (FAR) and the False Rejection Rate (FRR). So the results are expressed in terms of FAR and FRR and subsequently comparative analysis has been made with standard existing techniques. Results obtained by our proposed algorithm are more efficient than most of the existing techniques.
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Rahmi, Asyrofa, Vivi Nur Wijayaningrum, Wayan Firdaus Mahmudy e Andi Maulidinnawati A. K. Parewe. "Offline Signature Recognition using Back Propagation Neural Network". Indonesian Journal of Electrical Engineering and Computer Science 4, n.º 3 (1 de dezembro de 2016): 678. http://dx.doi.org/10.11591/ijeecs.v4.i3.pp678-683.

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The signature recognition is a difficult process as it requires several phases. A failure in a phase will significantly reduce the recognition accuracy. Artificial Neural Network (ANN) believed to be used to assist in the recognition or classification of the signature. In this study, the ANN algorithm used is Back Propagation. A mechanism to adaptively adjust the learning rate is developed to improve the system accuracy. The purpose of this study is to conduct the recognition of a number of signatures so that can be known whether the recognition which is done by using the Back Propagation is appropriate or not. The testing results performed by using learning rate of 0.64, the number of iterations is 100, and produces an accuracy value of 63%.
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Mais fontes

Teses / dissertações sobre o assunto "Signature ARN"

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Dufraigne, Christine. "Evolution des génomes : étude des transferts horizontaux et des duplications à l'aide de la signature génomique". Paris 6, 2004. http://www.theses.fr/2004PA066102.

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Yepmo, Mélissa. "Signature unique de l’ARN circulaire dans les muscles squelettiques humains de différentes sensibilités à l’insuline". Electronic Thesis or Diss., Strasbourg, 2023. http://www.theses.fr/2023STRAJ109.

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Les ARN circulaires désignent une classe d'ARN non codants qui se caractérisent par une structure en boucle fermée de manière covalente. Sur le plan fonctionnel, ils peuvent agir sur la physiologie cellulaire en inhibant les microARN et en régulant l'expression des gènes et des protéines. La fonction émergente de ces ARNc n'est pas entièrement comprise, mais des études initiales ont récemment montré que les ARNc sont impliqués dans la régulation de la sécrétion d'insuline. A travers ces travaux, nous avons cherché à identifier les ARNc dans le muscle squelettique au niveau des fibres glycolytiques et oxydatives de patients sains ou atteints de diabète de type 2. Nos résultats ont démontré une signature unique en ARN circulaire non seulement en fonction du statut (sain ou DT2) mais aussi en fonction du type de fibres musculaires (triceps ou soleus). Notre étude a pu mettre en évidence pour la première fois un nouveau moyen de régulation de l’expression des gènes et des protéines, indépendamment de ce qui est déjà connu au niveau du muscle squelettique. Ces résultats permettent l’identification de nouveaux acteurs impliqués dans le développement du diabète de type 2 avec l’identification potentielle de nouvelles cibles thérapeutiques
Circular RNAs are a class of non-coding RNAs characterized by a covalently closed loop structure. Functionally, they can act on cell physiology by inhibiting microRNAs and regulating gene and protein expression. The emerging function of circRNAs is not fully understood, but initial studies have recently shown that they are involved in the regulation of insulin secretion. In this work we tried to identify circRNAs in skeletal muscle at the level of glycolytic and oxidative fibers in healthy and type 2 diabetic patients. Our results showed a unique circular RNA signature not only as a function of status (healthy or T2DM) but also as a function of muscle fibre type (triceps or soleus). For the first time, our study has been able to identify a new way of regulating gene and protein expression independently of what is already known in skeletal muscle. These results allowed us to identify new key molecules involved in the development of type 2 diabetes, with the potential to identify new therapeutic targets
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Gendron, Judith. "Les longs ARN non codants, une nouvelle classe de régulateurs génomique tissu-spécifique : signature moléculaire spécifique des neurones dopaminergiques et sérotoninergiques". Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066518.

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Seul 1,2% du génome code des protéines :98,8% est non-codant,cependant 93% du génome est transcrit, principalement en longs ARN non-codants (lncRNA). Or ces lncRNA constituent une nouvelle classe de régulateurs génomique agissant à tous les niveaux d’expression des gènes et ils sont fortement spécifiques du tissu,modulés au cours du temps et en conditions physiopathologiques.Ainsi,nous proposons que chaque cellule spécifiée exprime son répertoire de lncRNA spécifique avec une carte des zones de chromatines ouvertes renseignant son identité cellulaire.Dans cette perspective,nous avons isolé par FACS 2types cellulaires impliqués dans des pathologies: i) des neurones dopaminergiques humains(nDA) différenciés à partir d’hiPS et ii) des neurones DA et sérotoninergiques (n5-HT)murins.Sur ces 2types neuraux isolés,nous avons identifié 1363 lncRNA exprimés dans les nDA (dont 989nouveaux) constituant le répertoire des neurones DA et 1257 lncRNA dans les n5-HT (719nouveaux) constituant le répertoire des n5-HT.Or leur comparaison a montré que seuls 194 lncRNA sont communs aux 2types cellulaires:la majorité des lncRNA est exprimée soit dans les nDA soit dans les n5-HT,attestant leur spécificité cellulaire.De plus,39%des zones de chromatines ouvertes/potentiellement régulatrices des nDA ne sont pas non plus retrouvées dans les n5-HT.Ainsi, nous avons généré un catalogue d’éléments non codants constituant des signatures moléculaires spécifiques des nDA et n5-HT,ouvrant de nouvelles pistes physiopathologiques:Dans cette optique,les signatures non codantes DA ont été comparées avec les SNP associés à la maladie de Parkinson et des études de fonction sur des lncRNA candidats ont été réalisées
Only 1.2% of the genome codes for proteins; 98.8% is thus non-coding, despite 93% of the human genome being actively transcribed, mostly in long non-coding RNA (lncRNA).These lncRNA constitute a new class of genomic regulator capable of acting at all levels of gene expression and their expression is highly tissue-specific,modulated during the time and under normal/pathological conditions.Thus, we propose that each specified cell expresses a specific repertoire of lncRNA correlated to open/active chromatin regions specifying its cellular identity.In this context, we isolated by FACS 2neural types involved in many pathologies: i) human dopaminergic neurons (nDA) differentiated from hiPS and ii) DA and serotoninergic (n5-HT) neurons. From these 2neural types, we identified 1,363 lncRNA in nDA (among which 989 new, whether 73%) constituting the repertoire of nDA, and 1,257 lncRNA (among which 719 new) constituting the repertoire of n5-HT. Moreover,their comparison has shown that only 194 lncRNA are common to both neural types:thus the majority of lncRNA is expressed either in nDA or in n5-HT, indicating a high degree of cell-specificity.In addition, 39% of open chromatin regions, potentially regulatory, were also not detected in the n5-HT.Thus, we have generated DA and 5-HT specific catalogues of non-coding elements of the genome, which constitute DA and 5-HT specific molecular signatures, that could participate in deepening our knowledge regarding nDA or n5-HT development and dysfunctions. With this in mind,these DA specific elements have been compared with the SNP described as Parkinson Disease risk variants and candidate lncRNA were selected to perform studies of function
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Mullani, Nowsheen. "An RNA Signature Links Oxidative Stress To Cellular Senescence". Electronic Thesis or Diss., Sorbonne université, 2019. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2019SORUS560.pdf.

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Le stress oxydatif est l’une des voies menant à la sénescence cellulaire. Bien que les dommages causés par les espèces réactives de l'oxygène aux protéines et à l'ADN soient bien décrits, notre compréhension de la manière dont la transcription peut participer à l'apparition de la sénescence est encore limitée. Au niveau de la transcription, le stress oxydatif entraîne l’accumulation d’ARN promoteurs (ARNAu) et d’ARN amplificateur (ARNs), conséquence de la libération défectueuse du RNAPII de la chromatine, un phénomène connu sous le nom de RNAPII crawling. Nous avons observé que l'exploration de RNAPII était également détectée en aval d'une petite série de gènes connus pour être régulés par HP1Υ au niveau de leur terminaison. L'exploration de ce phénomène a donné un résultat inattendu, en ce sens qu'il a révélé un effet inhibiteur du peroxyde d'hydrogène sur le complexe exosome d'ARN impliqué dans la dégradation des ARN polyadénylés. Le RNAPII rampant a pour résultat la transcription de séquences d’ALU situées au voisinage des promoteurs et amplificateurs et en aval de gènes sans intron et de petites séries de gènes contenant un intron. Comme les séquences ALU contiennent des séquences A codées par le génome, elles doivent normalement être dégradées par l’exosome de l’ARN. Cependant, comme le stress oxydatif inhibe également cette activité d'ARNase, les ARNm contenant des séquences d'ALU transcrites par hasard se stabilisent et sont détectés dans le cytoplasme et même dans les fractions de polysomes. Ce phénomène peut participer à l'apparition de la réponse à l'interféron associée au stress oxydatif
Oxidative Stress is one of the routes leading to cellular senescence. While the damages that reactive oxygen species inflict on proteins and DNA are well described, our insight on how transcription may participate in the onset of senescence is still limited. At a transcriptional level, oxidative stress results in accumulation of promoter RNAs (uaRNAs) and enhancer RNAs (eRNAs) as a consequence of defective release of the RNAPII from the chromatin a phenomenon known as RNAPII crawling. We observed that RNAPII crawling was also detected downstream of a small series of genes known to be regulated by HP1Υ at the level of their termination. Exploring this phenomenon yielded an unexpected result in the sense that it revealed an inhibiting effect of hydrogen peroxide on the RNA exosome complex involved in degradation of polyadenylated RNAs. The crawling RNAPII results in the transcription of ALU sequences located in the neighborhood of promoters and enhancers and downstream of intron-less genes and of small series of intron-containing genes. As ALU sequences contain genome encoded A tracts, they should normally be degraded by the RNA exosome. Yet, as oxidative stress also inhibits this RNAse activity, mRNAs containing serendipitously transcribed ALU sequences get stabilized and are detected in the cytoplasm and even polysome fractions. This phenomenon may participate in the onset of the interferon response associated with oxidative stress
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Jebbawi, Fadi. "Etude des lymphocytes T régulateurs naturels CD8+CD25+: signature micro-ARN et effets des micro-ARNs sur l'expression de FOXP3, CTLA-4 et GARP". Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209338.

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Mon travail de thèse a consisté à caractériser une sous-population de lymphocytes T régulateurs naturels de phénotype CD8+CD25+.

Nous avons purifié les CD8+CD25+ nTregs et vérifié par cytométrie de flux leur expression en FOXP3 et CTLA-4. Puis nous avons pu montrer que ces cellules possèdent des propriétés suppressives dans un test d’inhibition de la prolifération de lymphocytes T activés allogéniquement. Les lymphocytes CD8+CD25+ nTregs expriment les gènes FOXP3, CTLA-4, GARP et CCL-4 et les cytokines IL-10 et TGF-β. Par contre, les gènes CD28, ICOS, FOXO1 et Helios sont sous-exprimés dans les nTregs CD8+CD25+ par rapport aux lymphocytes T CD8+CD25-.

Nous avons établi une signature micro-ARN qui comprend 10 micro-ARNs différentiellement exprimés :7 micro-ARNs sous-exprimés "miR-9, -24, -31, -155, -210, -335 et -449 " et 3 micro-ARNs surexprimés " miR-214, -205 et -509". De plus, nous avons pu explorer la relevance biologique de cette signature micro-ARN en montrant dans un premier temps que les miRs "-31, -24, -210, -335" ciblent spécifiquement la région 3'UTR de FOXP3, de même les miR-9 et miR-155 ciblent la région 3'UTR de CTLA-4, et les miR-24, et -335 ciblent la région 3'UTR de GARP. Ceci a été fait par des expériences de co-transfections suivies d'une mesure de l'activité rapportrice luciférase. De plus, nous avons pu démontrer par des expériences de transduction lentivirale ex vivo, de cellules T primaires, que des micro-ARNs de la signature régulent l’expression de FOXP3, CTLA-4 et GARP dans les Tregs naturels CD8+CD25+ humains.

Cette étude montre l'importance des micro-ARNs dans la régulation post-transcriptionnelle des gènes impliqués dans la fonction régulatrice des lymphocytes T régulateurs.


Doctorat en Sciences
info:eu-repo/semantics/nonPublished

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Panasenkava, Veranika. "Utilisation de cellules souches pluripotentes induites combinée à une approche transcriptomique pour améliorer le diagnostic moléculaire des troubles du neurodéveloppement chez l’homme". Electronic Thesis or Diss., Université de Rennes (2023-....), 2024. http://www.theses.fr/2024URENB060.

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L'holoprosencéphalie (HPE) est une maladie rare qui affecte le développement de la ligne médiane du cerveau antérieur dès les premiers stades embryonnaires, rendant son diagnostic moléculaire complexe. Elle résulte principalement d’altérations génétiques entraînant une réduction de l'activité de la voie de signalisation Sonic Hedgehog (SHH). Cependant, un diagnostic moléculaire précis n’est possible que pour 30% des patients, ce qui souligne l’importance de développer des nouvelles approches diagnostiques. Le principal obstacle réside dans l'impossibilité d'accéder au tissu primaire affectée par la pathologie, soit le neuroectoderme antérieur. Pour surmonter cet obstacle, j’ai mis au point un modèle in vitro du développement du neuroectoderme antérieur en utilisant des cellules souches pluripotentes induites. Ce modèle m’a permis de produire des données transcriptomiques permettant d’évaluer les impacts moléculaires de la déficience en SHH et de définir des signatures transcriptomiques décrivant les variations de l'activité de la voie SHH pouvant être corrélées à la sévérité des phénotypes d’HPE. Ce travail a également révélé de nouveaux gènes co-exprimés et régulés par SHH, qui pourraient constituer de nouveaux marqueurs génétiques de l'HPE. Ces avancées ouvrent la voie à la création d’outils de diagnostic innovants, visant à améliorer la précision du diagnostic pour les patients atteints d'HPE
Abstract : Holoprosencephaly (HPE) is a rare disorder that affects the development of the midline of the forebrain during the earliest stages of embryogenesis, making molecular diagnosis challenging. It primarily results from genetic alterations that lead to a reduction in the activity of the Sonic Hedgehog (SHH) signaling pathway. However, a precise molecular diagnosis is only possible for 30% of patients, highlighting the importance of developing new diagnostic approaches. The main challenge is the inaccessibility of the primary tissue, specifically the anterior affected by HPE, namely the anterior neuroectoderm. To overcome this challenge, I established an in vitro model of anterior neuroectoderm using induced pluripotent stem cells. This model allowed me to generate transcriptomic data to assess the molecular impacts of SHH deficiency and define transcriptomic signatures that describe variations in SHH pathway activity, which may correlate with the severity of HPE phenotypes. This work also revealed new co-expressed and SHH-regulated genes, which could serve as new genetic markers for HPE. These advances pave the way for innovative diagnostic tools aimed at improving diagnostic accuracy for patients with HPE
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Torossian, Nouritza. "Study of long non-coding RNAs and reference-free detected RNAs as potential biomarkers and actors of Triple Negative Breast Cancers' chemoresistance". Electronic Thesis or Diss., Université Paris sciences et lettres, 2023. http://www.theses.fr/2023UPSLS057.

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Les cancers du sein triple négatifs (CSTN) sont un sous-type hétérogène représentant 12% à 24% de tous les cancers du sein. Ils ont les plus mauvais pronostics et touchent souvent les femmes jeunes. Le traitement au stade localisé repose essentiellement sur la chimiothérapie, sans thérapie ciblée (hors cas de mutations germinales de BRCA). Quasiment toutes les patientes reçoivent la même chimiothérapie néoadjuvante (CNA) avec anthracyclines et taxanes, ce qui grève leur survie en l’absence de réponse complète pathologique (RCp). L’intensification thérapeutique est la tendance actuelle, notamment avec l’addition d’immunothérapie, afin d’améliorer taux de RCp et survie. Les signatures d’expression génique standard ne pas utilisables en pratique clinique pour prédire la chimiorésistance des CSTNs à la CNA, alors qu’elles permettraient de sélectionner les patientes pour une intensification thérapeutique. D’où l’intérêt d’explorer les transcrits issus des 90% du génome restant, constitué de régions non codantes et non référencées. Parmi eux, les ARNs longs non-codant (lnc) qui se caractérisent par une longueur d’au moins 200 nucléotides présentent l’intérêt pour certains d’entre eux d’avoir une expression tissu- voire cancer- spécifique. De plus, certains ARNs lnc ont un rôle démontré dans différents mécanismes de chimiorésistance. Les ARNs lnc ne sont cependant pas bien annotés dans le génome humain et de nouveaux transcrits non référencés, codant ou non, et de nouvelles isoformes de gènes connus, sont découverts quotidiennement.Mon 1er objectif de thèse était d’évaluer le transcriptome non référencé en tant que réservoir potentiel de biomarqueurs prédictifs de chimiorésistance des CSTN à la CNA. Nous avons analysé une cohorte de 78 CSTNs avant CNA, et comparé les cas chimiosensibles (chS) et chimiorésistants (chR) selon le score RCB (Residual Cancer Burden). Nous avons comparé l’analyse d’expression génique différentielle standard (DE-seq) sur les gènes annotés, et sur de nouveaux ARNs lnc détectés grâce à un profiler ARN, et une analyse non biaisée par les annotations génomiques, de fragments de transcrits différentiels. L’analyse non biaisée a permis d’obtenir la meilleure séparation des cas chS et chR dans notre cohorte exploratoire. Nous avons ensuite évalué cette approche sur une cohorte indépendante, et nous l’avons optimisée, en considérant les régions génomiques d’expression différentielle. Ceci nous a permis d’obtenir une signature reproductible entre les deux cohortes. Au total, ces résultats montrent le potentiel d’une approche non référencée pour générer une signature de chimiorésistance précoce des CSTN. Des validations supplémentaires sont nécessaires sur des cohortes plus larges.Mon 2nd objectif de thèse était d’évaluer les ARNs lnc en tant que potentiels acteurs/cibles thérapeutiques dans les CSTNs chR. Nous avons sélectionné les ARNs lnc surexprimés dans les CSTNs chR pre-CNA (versus les CSTNs chS pre-CNA) et dans les CSTNs chR post-CNA (versus les CSTNs chR pre-CNA). En intégrant leurs niveaux et spécificités d’expression, leurs localisations génomiques et les données préexistantes suggérant une fonction potentielle, nous avons retenu trois ARNs lnc (AL450326.1, LINC02609 et MIR503HG). Nous avons évalué l’impact de l’inactivation de leur expression sur la cytotoxicité du Docetaxel dans un modèle de lignée cellulaire de CSTN. L’inactivation de l’expression de chacun des trois ARNs lnc a induit une cytotoxicité accrue du Docetaxel. Une clonogénicité spontanée diminuée et une mort cellulaire accrue sous Docetaxel ont de plus été observées après la déplétion d’AL450326.1 et de LINC02609. Au total, nous avons identifié trois ARNs lnc jouant un rôle dans la chimiorésistance des CSTN. Des tests fonctionnels supplémentaires sont nécessaires pour en décrypter les mécanismes, avec pour objectif à long terme d’identifier de nouvelles approches thérapeutiques contrant la chimiorésistance des CSTNs à la CNA
Triple-negative breast cancers (TNBC) represent a heterogeneous subtype of breast cancers including 12% to 24% of all cases, having the poorest prognoses and often affecting young women. Treatment at localized stage is mainly based on chemotherapy, with no targeted therapy (except germline BRCA mutated patients). Nearly all patients receive the same Neo-Adjuvant Chemotherapy (NAC) with anthracyclines and taxanes, that badly impacts survival in the absence of pathological complete response (pCR). Therapeutic intensification, notably with addition of immunotherapy, is the current trend to increase pCR rate and improve survival. Standard gene expression signatures have failed to provide effective tools to predict TNBC chemoresistance, probably due to their incomplete nature, as they are mostly based on expression of protein coding genes and/or referenced transcripts and up to date there is no clinically useful transcriptomic signature predicting TNBC chemoresistance to NAC. Such a predictive signature would allow patient selection for therapeutic intensification. Therefore, it is important to explore the remaining 90% of the genome consisting of non-coding and non-referenced regions. One class of non-coding RNAs that is of great interest are long non-coding (lnc) RNAs, that are at least 200 nucleotides long, some of them being specifically expressed in cancer. Moreover, some lncRNAs have been shown to be implicated in different mechanisms of chemoresistance. LncRNAs are not fully well annotated in the human genome and new unreferenced transcripts, coding or not, and new isoforms of known genes are discovered daily.Therefore, the first goal of my PhD was to assess reference-free transcriptome as a potential reservoir of predictive biomarkers of TNBC chemoresistance. A cohort of 78 TNBCs before NAC was analyzed, comparing chemosensitive (chS) and chemoresistant (chR) cases based on international Residual Cancer Burden (RCB) score. A standard differential gene expression analysis (DE-seq) on annotated genes, and on new lncRNAs detected with a de novo RNA-profiler, and a reference-free analysis of differential fragments of transcripts without annotation bias were compared. Reference-free approach showed best separation of chS and chR patients in the training cohort. Further, based on comparison with an independent validation cohort, an optimized approach was proposed, where specific genomic regions with differential expression were selected. This technique gave a reproducible signature of chemoresistance between the two cohorts. In all, these results show the potential of a reference-free approach to generate a transcriptomic signature as predictive biomarker of early TNBC chemoresistance. Further investigation is needed to validate the signature using larger validation cohorts.The second objective of my PhD was to assess lncRNAs as potential actors/therapeutic targets in chR TNBCs. For that we selected lncRNAs upregulated in chR pre-NAC TNBCs (compared with chS pre-NAC TNBCs) and in chR post-NAC TNBCs (compared with chR pre-NAC TNBCs). Considering lncRNAs level and specificity of expression, genomic position, and pre-existing data of their potential function, three lncRNAs (AL450326.1, LINC02609 and MIR503HG) were retained for functional analysis. By knocking down levels of these lncRNAs in TNBC cell line model, an impact on Docetaxel cytotoxicity was assessed. All three lncRNAs knock downs showed an improved Docetaxel induced cytotoxicity. Knock down of AL450326.1 and LINC02609 resulted in a decreased spontaneous clonogenicity and increased Docetaxel induced cell death, giving a first indication of their mode of action. In all, we identified three lncRNAs playing a role in NAC chemoresistance. Further functional studies will allow to decipher the mechanisms by which the identified lncRNAs affect chemoresistance with the ultimate goal to identify new therapeutic approaches to circumvent NAC chemoresistance of TNBCs
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Outlioua, Ahmed. "Exploration des cytokines pro-inflammatoires et de l’inflammasome NLRP3 dans les infections intracellulaires : cas de H. pylori et des virus à ARN Gastric IL-1β, IL-8, and IL-17A expression in Moroccan patients infected with Helicobacter pylori may be a predictive signature of severe pathological stages RNA viruses promote activation of the NLRP3 inflammasome through cytopathogenic effect-induced potassium efflux The heme-regulated inhibitor is a cytosolic sensor of protein misfolding that controls innate immune signaling The Role of Optineurin in Antiviral Type I Interferon Production Possible introduction of Leishmania tropica to urban areas determined by epidemiological and clinical profiles of patients with cutaneous leishmaniasis in Casablanca (Morocco)". Thesis, université Paris-Saclay, 2021. http://www.theses.fr/2021UPASL029.

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Helicobacter pylori (H. pylori) est une bactérie qui infecte l’estomac et induit une gastrite inflammatoire, qui peut être chronique et évoluer vers un cancer gastrique. La sévérité de l’infection et son évolution clinique sont associées aux différents facteurs notamment le statut immunitaire de l’hôte. La réponse inflammatoire initiale à l'infection à H. pylori entraîne la sécrétion d'un large panel de cytokines, notamment l'interleukine-1β (IL-1β), l'IL-8 et l'IL-17A. qui semblent jouer un rôle clé dans l'initiation et la progression du cancer gastrique. Parmi ces cytokines, l'IL-1β est une cytokine clé au cours de l’infection à H. pylori dont l’expression est étroitement associée à l'inflammation gastrique et à la carcinogenèse. La production de cette cytokine dépend de l'activation de l'inflammasome, en particulier l'inflammasome NLRP3. Ce dernier, responsable de l’activation des processus inflammatoires, est essentiel pour le maintien de l'homéostasie contre diverses infections pathogènes telles les infections bactérienne et virale.L’objectif général de ce travail est i) d’étudier l’expression et le polymorphisme des gènes de cytokines comme IL-1β, IL-17 et IL-8 chez des patients marocains infectés par H. pylori. ii) explorer l’activation de l'inflammasome NLRP3 par H. pylori et déterminer les mécanismes impliqués dans l'activation de ce complexe par des virus à ARN ; connus comme des activateurs définis de NLRP3.Nos résultats ont souligné une prévalence élevée de H. pylori et ont mis en évidence une signature cytokinique : elle peut prédire la métaplasie au cours de la progression de l'infection à H. pylori impliquant une diminution de l’expression de l'IL17A dans l’antre et une augmentation de l’expression de l'IL-1β dans le fundus. Plus particulièrement, les polymorphismes génétiques de l’IL-1β (IL-1β -31 et -511) ne semblent pas influencer l’expression de l’IL-1β de manière significative.Au regard des difficultés rencontrés pour l’isolement et la culture de H. pylori, nous avons utilisé le LPS de H. pylori pour stimuler l’inflammasome. Nos résultats montrent que la transfection des cellules in vitro par le LPS bactérien induit la production de l’IL-1β qui semble être modulée par la caspase 4, NOD1 et NOD2. Par ailleurs, bien qu’il soit clairement établi que les virus à ARN induisent l’activation de l’inflammasome NLRP3, les mécanismes par lesquels ces virus induisent la production d'IL-1β ne sont pas bien compris et restent à confirmer. Les résultats de cette partie du travail ont montré que la réplication des virus à ARN cytopathogènes tels que le virus de la stomatite vésiculaire (VSV) ou le virus de l'encéphalomyocardite (EMCV) induit une mort cellulaire lytique conduisant à un efflux de potassium qui déclenche l'activation de l'inflammasome NLRP3. Ainsi, les virus à forte capacité de réplication et qui ont un effet cytopathique sont capables d'induire l'activation de la caspase-1 conduisant à la production d'IL-1β. A l'inverse, les virus qui induisent une très bonne réponse IFN de type I sont de très mauvais inducteurs de l'inflammasome NLRP3.Une meilleure compréhension de l’activation de l’inflammasome pourrait aider dans la mise au point de stratégies thérapeutiques ciblées utilisables dans la lutte contre les infections bactérienne et virale.Mots clés : Helicobacter pylori, inflammation, inflammasome NLRP3, IL-1β, virus à ARN
Helicobacter pylori (H. pylori) is a bacteria that infects the stomach and induces inflammatory gastritis, which can be chronic and progress to gastric cancer. The severity of the infection and its clinical course are associated with various factors including the immune status of the host. The initial inflammatory response to H. pylori infection results in the secretion of a wide range of cytokines, including interleukin-1β (IL-1β), IL-8 and IL-17A. which appear to play a key role in the initiation and progression of gastric cancer. Among these cytokines, IL-1β is a key cytokine during H. pylori infection whose expression is associated with gastric inflammation and carcinogenesis. The production of this cytokine depends on the activation of the inflammasome, in particular the NLRP3 inflammasome. The latter, responsible of the activation of inflammatory processes, is essential for the maintenance of homeostasis against various pathogenic infections such as bacterial and viral infections.The general objective of this work is i) to study the expression and polymorphism of genes for cytokines such as IL-1β, IL-17 and IL-8 in Moroccan patients infected with H. pylori. ii) explore the activation of the NLRP3 inflammasome by H. pylori and determine the mechanisms involved in the activation of this complex by RNA viruses; known as defined activators of NLRP3.Our results underlined a high prevalence of H. pylori and demonstrated a cytokine signature: it can predict metaplasia during the progression of H. pylori infection involving a decrease in IL17A expression in the antrum and increased expression of IL-1β in the fundus. In particular, the genetic polymorphisms of IL-1β (IL-1β -31 and -511) do not appear to influence IL-1β expression significantly.In view of the difficulties encountered in isolating and culturing H. pylori, we used LPS from H. pylori to stimulate the inflammasome. Our results show that the transfection of cells in vitro with bacterial LPS induces the production of IL-1β which appears to be modulated by caspase 4, NOD1 and NOD2. Furthermore, while it is clearly established that RNA viruses induce activation of the NLRP3 inflammasome, the mechanisms by which these viruses induce IL-1β production are not well understood and remain to be confirmed. The results of this part of the work showed that the replication of cytopathogenic RNA viruses such as vesicular stomatitis virus (VSV) or encephalomyocarditis virus (EMCV) induces lytic cell death leading to an efflux of potassium which triggers activation of the NLRP3 inflammasome. Thus, viruses with a high replication capacity and which have a cytopathic effect are capable of inducing the activation of caspase-1 leading to the production of IL-1β. Conversely, viruses which induce type I IFN response are very poor inducers of the NLRP3 inflammasome.A better understanding of the activation of the inflammasome could help in the development of targeted therapeutic strategies for use in the fight against bacterial and viral infections.Key words: Helicobacter pylori, inflammation, NLRP3 inflammasome, IL-1β, RNA virus
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Zhang, Haocheng. "Polarization Signatures in Blazar Emission". Ohio University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1444237508.

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Day, Francesca. "Astrophysical signatures of axion-like particles". Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:215f6432-6dbb-4a16-80d8-3ad0bc76ec2d.

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The Standard Model of particle physics has enjoyed unprecedented success in predicting experimental results. However, evidence from astrophysical observations points to the existence of a dark sector of particles that interact only very weakly with the Standard Model. In this work, we search for dark sector signatures in X-ray telescope data. Much of this work concerns a class of hypothetical particles, the axion-like particle (ALP). ALPs are a theoretically well-motivated extension of the Standard Model. If ALPs exist, they may lead to intriguing astrophysical signatures: in the presence of a background magnetic field, ALPs and photons can interconvert. We could detect ALPs by searching for photon to ALP conversion. For example, photons produced by point sources in or behind galaxy clusters may convert to ALPs in the cluster's magnetic field. This could lead to observable spectral anomalies. Using this strategy, we place world leading bounds on the ALP-photon coupling. One potential signal of dark matter is an anomalous line in the spectra of galaxies and galaxy clusters. In 2014, an anomalous line was found at an energy of 3.5 keV. The nature and cause of this line is still under discussion. We analyse a scenario in which the 3.5 keV line arises from dark matter decay to ALPs, which interconvert with 3.5 keV photons in astrophysical magnetic fields. We further report an anomalous deficit at 3.5 keV in the spectrum of the Active Galactic Nucleus at the centre of the Perseus galaxy cluster. This motivates the study of a new model in which both features are caused by “fluorescent dark matter” which resonantly interacts with 3.5 keV photons. We analyse observations of Perseus at 3.5 keV to date, and show that they are well explained by this model. Further theoretical and experimental work is needed to discover or exclude fundamental physics effects in X-ray spectra.
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Livros sobre o assunto "Signature ARN"

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Dauw, Norbert de. Signaturen. Gent: Het Museum, 1988.

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2

1927-, Cuisenier Jean, e Ecole du patrimoine (France), eds. Anonymat et signature. Paris: Documentation française, 1989.

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occidentale, Université de Bretagne, ed. Signatures du monstre. Rennes: Presses universitaires de Rennes, 2017.

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4

Peterson, Jeffrey Shawn. Detection of downed trolley lines using arc signature analysis. Pittsburgh, PA: U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Pittsburgh Research Center, 1997.

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5

Foundation, Asia Pacific Breweries, ed. Signature art prize 2011: Asia Pacific Breweries Foundation. Singapore: Singapore Art Museum, 2011.

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Museum, Singapore Art, e National Museum of Singapore, eds. Signature Art Prize 2018: Asia Pacific Breweries Foundation. Singapore]: Singapore Art Museum, 2018.

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7

Kamuf, Peggy. Signature pieces: On the institution of authorship. Ithaca: Cornell University Press, 1988.

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8

Scheurer, Michael. Signature Scheurer: The art of Michael Scheurer. Cincinnati, OH: Alice F. and Harris K. Weston Art Gallery, 2017.

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9

1960-, Brehm Margrit Franziska, ed. Signaturen der Moderne: Zeichen, Schrift, Kontext. Karlsruhe: Ernest Rathenau Verlag, 2016.

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Museum, Singapore Art. Signature Art Prize 2008: Asia Pacific Breweries Foundation. Singapore: Singapore Art Museum, 2008.

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Capítulos de livros sobre o assunto "Signature ARN"

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Dowthwaite, James. "‘In Nature Are Signatures’". In Ezra Pound and 20th-Century Theories of Language, 173–208. New York, NY : Routledge, 2019. |: Routledge, 2019. http://dx.doi.org/10.4324/9780429292316-6.

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Smith, Doug, Brian Veitch e Arash Fassihozzaman Langroudi. "Visualizing Complex Industrial Operations Through the Lens of Functional Signatures". In Visualising Safety, an Exploration, 57–66. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33786-4_7.

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AbstractIn this chapter, the concept of functional signatures is presented as a way to understand complex industrial operations. Visualization of functional signatures can be used to improve tractability of complex operations, which can be valuable for safety analysis. Two techniques for visualizing functional signatures are presented: (1) cyclic functional signatures and (2) linear functional signatures. Both techniques are seen as valuable and selection of technique can be left to user preference. The two visualization techniques are demonstrated through an application of an ice management operation for an offshore petroleum installation performed in a simulated ship environment.
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Rathgeber, Cyrille B. K., Gonzalo Pérez-de-Lis, Laura Fernández-de-Uña, Patrick Fonti, Sergio Rossi, Kerstin Treydte, Arthur Gessler, Annie Deslauriers, Marina V. Fonti e Stéphane Ponton. "Anatomical, Developmental and Physiological Bases of Tree-Ring Formation in Relation to Environmental Factors". In Stable Isotopes in Tree Rings, 61–99. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92698-4_3.

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AbstractUnderstanding the process of wood formation and its dynamics over the growing season is fundamental to interpret the isotopic signature of tree rings. Indeed, the isotopic signal recorded in wood does not only depend on the conditions influencing carbon, water, and nitrogen uptake in the leaves and roots, but also on how these elements are translocated to the stem and incorporated into the developing xylem. Depending on environmental conditions, tree developmental stage, and physiological status, wood formation dynamics can vary greatly and produce tree-ring structures carrying specific isotopic signatures. In this chapter, we present the physiological processes involved in wood formation, along with their relationships with anatomical, developmental, and environmental factors, to understand when and how photosynthetic assimilates are progressively incorporated into the forming xylem, creating the final isotopic signature of a tree ring. First, we review current knowledge on the structure and functions of wood. Then we describe the xylogenesis process (how and when the new xylem cells produced by the cambium develop through successive differentiation phases), and its relationships with physiological, developmental, and environmental factors. Finally, we explain the kinetics of xylemcell differentiation and show why the knowledge recently acquired in this field allows us to better understand the isotopic signals in tree rings.
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Wen, Junhao, Erdem Varol, Zhijian Yang, Gyujoon Hwang, Dominique Dwyer, Anahita Fathi Kazerooni, Paris Alexandros Lalousis e Christos Davatzikos. "Subtyping Brain Diseases from Imaging Data". In Machine Learning for Brain Disorders, 491–510. New York, NY: Springer US, 2012. http://dx.doi.org/10.1007/978-1-0716-3195-9_16.

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AbstractThe imaging community has increasingly adopted machine learning (ML) methods to provide individualized imaging signatures related to disease diagnosis, prognosis, and response to treatment. Clinical neuroscience and cancer imaging have been two areas in which ML has offered particular promise. However, many neurologic and neuropsychiatric diseases, as well as cancer, are often heterogeneous in terms of their clinical manifestations, neuroanatomical patterns, or genetic underpinnings. Therefore, in such cases, seeking a single disease signature might be ineffectual in delivering individualized precision diagnostics. The current chapter focuses on ML methods, especially semi-supervised clustering, that seek disease subtypes using imaging data. Work from Alzheimer’s disease and its prodromal stages, psychosis, depression, autism, and brain cancer are discussed. Our goal is to provide the readers with a broad overview in terms of methodology and clinical applications.
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Dostov, Victor, Svetlana Krivoruchko, Pavel Shust e Victor Titov. "Are Digital Signatures in Blockchain Functionally Equivalent to Handwritten Signatures?" In Computational Science and Its Applications – ICCSA 2023 Workshops, 527–37. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37105-9_35.

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Leahy, Caitríona. "Anselm Kiefer’s Signature: Or—Adapting God". In Adaptation Considered as a Collaborative Art, 239–58. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-25161-1_12.

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Chen, Liang-Ting, e Hsiang-Shang Ko. "A Formal Treatment of Bidirectional Typing". In Programming Languages and Systems, 115–42. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57262-3_5.

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AbstractThere has been much progress in designing bidirectional type systems and associated type synthesis algorithms, but mainly on a case-by-case basis. To remedy the situation, this paper develops a general and formal theory of bidirectional typing for simply typed languages: for every signature that specifies a mode-correct bidirectionally typed language, there exists a proof-relevant type synthesiser which, given an input abstract syntax tree, constructs a typing derivation if any, gives its refutation if not, or reports that the input does not have enough type annotations. Sufficient conditions for deriving a type synthesiser such as soundness, completeness, and mode-correctness are studied universally for all signatures. We propose a preprocessing step called mode decoration, which helps the user to deal with missing type annotations. The entire theory is formally implemented in Agda, so we provide a verified generator of proof-relevant type synthesisers as a by-product of our formalism.
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Harder, Jennifer. "What Are E-Signature Forms and Web Forms?" In Enhancing Adobe Acrobat Forms with JavaScript, 629–85. Berkeley, CA: Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9470-3_20.

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Läufer, Konstantin, e Martin Odersky. "Type Classes are Signatures of Abstract Types". In Declarative Programming, Sasbachwalden 1991, 148–62. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-3794-8_10.

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Ekejiuba, Ifeanyi E. "Radiative Signatures of Neutron Beams in AGN". In Multi-Wavelength Continuum Emission of AGN, 345. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-010-9537-2_71.

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Trabalhos de conferências sobre o assunto "Signature ARN"

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Wang, Ruiqi, Zhenwei Zhang e Yuantao Gu. "Path Signatures are Unsupervised Time Series Anomaly Extractors". In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1–5. IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889612.

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Wang, Mia Y., Daisy Clavijo Ramirez, Emma Noonan, Mackenzie Linn e Qian Zhang. "A Comprehensive Dataset and Visualization Tool for Drone Acoustic Signatures". In 2024 Artificial Intelligence x Humanities, Education, and Art (AIxHEART), 13–17. IEEE, 2024. https://doi.org/10.1109/aixheart62327.2024.00009.

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Al-Janahi, Fatima, Sawsan Shukri, Kais Abdulmawjood, Joseph J. Boutros e Robert S. Balog. "A Library of Electrical Arc Signatures for the Development and Testing of PV Arc Faults Detection Techniques". In 2024 IEEE 52nd Photovoltaic Specialist Conference (PVSC), 0753–58. IEEE, 2024. http://dx.doi.org/10.1109/pvsc57443.2024.10749386.

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Tyrer, Na, Fan Yang, Gary C. Barber, Guangzhi Qu, Bo Pang e Bingxu Wang. "3-D Offline Signature Verification with Convolutional Neural Network". In 10th International Conference on Advances in Computing and Information Technology (ACITY 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101518.

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Signature verification is essential to prevent the forgery of documents in financial, commercial, and legal settings. There are many researchers have focused on this topic, however, utilizing the 3-D information presented by a signature using a 3D optical profilometer is a relatively new idea, and the convolutional neural network is a powerful tool for image recognition. The present research focused on using the 3 dimensions of offline signatures in combination with a convolutional neural network to verify signatures. It was found that the accuracy of the data for offline signature verification was over 90%, which shows promise for this method as a novel method in signature verification.
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Femi-Oyetoro, James, Sourabh Sangle, Pablo Tarazaga e Mohammad I. Albakri. "Temperature Compensation for Electromechanical Impedance Signatures With Data-Driven Modeling". In ASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/smasis2022-91151.

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Abstract Impedance-based structural health monitoring (SHM) is recognized as a non-intrusive, highly sensitive, and model-independent SHM solution that is readily applicable to complex structures. This SHM method relies on analyzing the electromechanical impedance (EMI) signature of the structure under test over the time span of its operation. Changes in the EMI signature, compared to a baseline measured at the healthy state of the structure, often indicate damage. This method has successfully been applied to assess the integrity of numerous civil, aerospace, and mechanical components and structures. However, EMI sensitivity to environmental conditions, the temperature, in particular, has been an ongoing challenge facing the wide adoption of this method. Temperature-induced variation in EMI signatures can be misinterpreted as damage, leading to false positives, or may overshadow the effects of incipient damage in the structure. In this paper, a new method for temperature compensation of EMI signature is presented. Data-driven dynamic models are first developed by fitting EMI signatures measured at various temperatures using the Vector Fitting algorithm. Once these models are developed, the dependence of model parameters on temperature is established. A parametric data-driven model is then derived with temperature as a parameter. This allows for EMI signatures to be calculated at any desired temperature. The capabilities of this new temperature compensation method are demonstrated on aluminum samples, where EMI signatures are measured at various temperatures. The developed method is found to be capable of temperature compensation of EMI signatures at a broad frequency range.
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McCusker, James R., e Kourosh Danai. "Selection of Outputs for Gas-Turbine Engines by Parameter Signatures". In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4148.

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A method of measurement selection is introduced that relies on parameter signatures to assess the identifiability of dynamic model parameters by different outputs. A parameter signature is a region in the time-scale plane wherein the sensitivity of the output with respect to one model parameter is much larger than the rest of output sensitivities. Since the existence of a parameter signature is synonymous with the uniqueness of the corresponding output sensitivity, parameter signatures are directly linked to parameter identifiability by outputs and, hence, can be used for output/measurement selection. The purpose of this paper is to introduce a strategy for measurement selection by parameter signatures and to demonstrate its applicability to the transient decks of turbo-jet engines. The validity of the selected outputs in providing observability to the engine model parameters is independently verified by successful estimation of parameters by nonlinear least-squares.
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Jansons, Marcis, Sukhbir Khaira e Walter Bryzik. "Tailoring of Acoustic, Smoke and Thermal Signatures from Diesel-Powered Unmanned Ground Vehicles". In 2024 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium. 2101 Wilson Blvd, Suite 700, Arlington, VA 22201, United States: National Defense Industrial Association, 2024. http://dx.doi.org/10.4271/2024-01-3274.

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<title>ABSTRACT</title> <p>This work investigates non-traditional operating modes of a diesel engine that allow the tailoring of acoustic, smoke and thermal signatures for unique unmanned ground vehicle (UGV) military applications. A production, air-cooled single-cylinder diesel engine having a mechanical fuel injection system has been retrofit with a flexible common-rail injection and electronic control system. The experimental domain explores the effects of the injection timing and pressure on the engine’s acoustic, smoke and heat signatures through analysis of the in-cylinder combustion processes. Surface maps of loudness, exhaust temperature and exhaust smoke density over the range of fuel injection strategies are presented, illustrating the degree to which each signature may be controlled. Trade-offs between the signature modes are presented and discussed. The results demonstrate the possibility of providing military UGVs the capability to tailor their acoustic, infrared and smoke signatures independent of speed and load, through an injection system retrofit and control strategy.</p>
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van Rheenen, Arthur D., e Jan B. Thomassen. "Detection – how many pixels are required?" In Target and Background Signatures VI, editado por Karin U. Stein e Ric Schleijpen. SPIE, 2020. http://dx.doi.org/10.1117/12.2574690.

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Jannssen, J. A. A. J., H. Hasenpflug e M. Janßen. "COSIMAR: Continuous Operational Signature Monitoring Awareness and Recommendation". In 14th International Naval Engineering Conference and Exhibition. IMarEST, 2018. http://dx.doi.org/10.24868/issn.2515-818x.2018.027.

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Crews of naval vessels lack an up-to-date awareness of those aspects of a ship’s susceptibility to threats that are related to the actual ship signatures (acoustic, magnetic, infrared, etc.). The ship’s susceptibility depends among others on the current configuration of the ship, the environment, the enemy sensor capabilities and the related ship signature levels. For operational purposes, it is desirable that crews have a tool which informs and advises them on the ship signatures, on ways of managing them and on the consequential detection ranges of adversary sensors in the current tactical situation. A functional demonstrator for such a support tool, called COSIMAR (Continuous Operational Signature Monitoring Awareness and Recommendation), has been developed and tested in a laboratory environment in an international project. The background and approach of this international cooperation between Canada, Germany, Norway, Belgium and The Netherlands had been presented at the INEC conference 2014 in Amsterdam. This year's presentation will show the result of this joint effort. The architecture, human machine interface, signature and susceptibility models will be addressed, including the laboratory environment simulating all required platform and environmental input.
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Zheng, Amos Y. C. L., Leonardo T. D. Ferraz e Marcos A. Simplicio Jr. "A clipping technique for shorter hash-based signatures". In Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais, 167–80. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/sbseg.2018.4251.

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Hash-based signature schemes are a class of post-quantum algorithms that usually consist of hash-trees built upon One-Time Signature (OTS) solutions. These schemes have small key sizes, efficient processing and are simple to implement, while their security properties rely basically on the pre-image or collision resistance of the their underlying hash function. Despite such advantages, however, they have relatively large signature sizes compared to traditional signature algorithms. One way of tackling this issue is to reduce the sizes of their underlying OTS algorithms. In this article, we describe a probabilistic technique that, with negligible processing overhead, allows such reductions. Namely, up to 12.5% average size reduction can be achieved depending on the signature's parameters.
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Relatórios de organizações sobre o assunto "Signature ARN"

1

Solovyanenko, N. I. LEGAL REGULATION OF THE USE OF ELECTRONIC SIGNATURES IN ELECTRONIC COMMERCE. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70002.

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The article is devoted to the legal problems of using documents signed with electronic signatures in electronic commerce. The article considers the different legal regime of electronic documents depending on the type of electronic signature. Legal features of a qualified electronic signature are analyzed. The legal status of a certification service provider and its legal functions in e-commerce are examined. The conclusion is made about the recognition of electronic documents as a priority method of legal interaction in the field of electronic commerce and the complication of the legal construction of an electronic signature.
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Cooper, David A., Daniel C. Apon, Quynh H. Dang, Michael S. Davidson, Morris J. Dworkin e Carl A. Miller. Recommendation for Stateful Hash-Based Signature Schemes. National Institute of Standards and Technology, outubro de 2020. http://dx.doi.org/10.6028/nist.sp.800-208.

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This recommendation specifies two algorithms that can be used to generate a digital signature, both of which are stateful hash-based signature schemes: the Leighton-Micali Signature (LMS) system and the eXtended Merkle Signature Scheme (XMSS), along with their multi-tree variants, the Hierarchical Signature System (HSS) and multi-tree XMSS (XMSSMT).
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3

Matte, S., M. Constantin e R. Stevenson. Mineralogical and geochemical characterisation of the Kipawa syenite complex, Quebec: implications for rare-earth element deposits. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329212.

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The Kipawa rare-earth element (REE) deposit is located in the Parautochton zone of the Grenville Province 55 km south of the boundary with the Superior Province. The deposit is part of the Kipawa syenite complex of peralkaline syenites, gneisses, and amphibolites that are intercalated with calc-silicate rocks and marbles overlain by a peralkaline gneissic granite. The REE deposit is principally composed of eudialyte, mosandrite and britholite, and less abundant minerals such as xenotime, monazite or euxenite. The Kipawa Complex outcrops as a series of thin, folded sheet imbricates located between regional metasediments, suggesting a regional tectonic control. Several hypotheses for the origin of the complex have been suggested: crustal contamination of mantle-derived magmas, crustal melting, fluid alteration, metamorphism, and hydrothermal activity. Our objective is to characterize the mineralogical, geochemical, and isotopic composition of the Kipawa complex in order to improve our understanding of the formation and the post-formation processes, and the age of the complex. The complex has been deformed and metamorphosed with evidence of melting-recrystallization textures among REE and Zr rich magmatic and post magmatic minerals. Major and trace element geochemistry obtained by ICP-MS suggest that syenites, granites and monzonite of the complex have within-plate A2 type anorogenic signatures, and our analyses indicate a strong crustal signature based on TIMS whole rock Nd isotopes. We have analyzed zircon grains by SEM, EPMA, ICP-MS and MC-ICP-MS coupled with laser ablation (Lu-Hf). Initial isotopic results also support a strong crustal signature. Taken together, these results suggest that alkaline magmas of the Kipawa complex/deposit could have formed by partial melting of the mantle followed by strong crustal contamination or by melting of metasomatized continental crust. These processes and origins strongly differ compare to most alkaline complexes in the world. Additional TIMS and LA-MC-ICP-MS analyses are planned to investigate whether all lithologies share the same strong crustal signature.
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Mueller, C., S. J. Piercey, M. G. Babechuk e D. Copeland. Stratigraphy and lithogeochemistry of the Goldenville horizon and associated rocks, Baie Verte Peninsula, Newfoundland. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328990.

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The Goldenville horizon in the Baie Verte Peninsula is an important stratigraphic horizon that hosts primary (Cambrian to Ordovician) exhalative magnetite and pyrite and was a chemical trap for younger (Silurian to Devonian) orogenic gold mineralization. The horizon is overlain by basaltic flows and volcaniclastic rocks, is intercalated with variably coloured argillites and cherts, and underlain by mafic volcaniclastic rocks; the entire stratigraphy is cut by younger fine-grained mafic dykes and coarser gabbro. Lithogeochemical signatures of the Goldenville horizon allow it to be divided into high-Fe iron formation (HIF; &amp;gt;50% Fe2O3), low-Fe iron formation (LIF; 15-50% Fe2O3), and argillite with iron minerals (AIF; &amp;lt;15% Fe2O3). These variably Fe-rich rocks have Fe-Ti-Mn-Al systematics consistent with element derivation from varying mineral contributions from hydrothermal venting and ambient detrital sedimentation. Post-Archean Australian Shale (PAAS)-normalized rare earth element (REE) signatures for the HIF samples have negative Ce anomalies and patterns similar to modern hydrothermal sediment deposited under oxygenated ocean conditions. The PAAS-normalized REE signatures of LIF samples have positive Ce anomalies, similar to hydrothermal sediment deposited under anoxic to sub-oxic conditions. The paradoxical Ce behaviour is potentially explained by the Mn geochemistry of the LIF samples. The LIF have elevated MnO contents (2.0-7.5 weight %), suggesting that Mn from hydrothermal fluids was oxidized in an oxygenated water column during hydrothermal venting, Mn-oxides then scavenged Ce from seawater, and these Mn-oxides were subsequently deposited in the hydrothermal sediment. The Mn-rich LIF samples with positive Ce anomalies are intercalated with HIF with negative Ce anomalies, both regionally and on a metre scale within drill holes. Thus, the LIF positive Ce anomaly signature may record extended and particle-specific scavenging rather than sub-oxic/redox-stratified marine conditions. Collectively, results suggest that the Cambro-Ordovician Taconic seaway along the Laurentian margin may have been completely or near-completely oxygenated at the time of Goldenville horizon deposition.
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Poloboc, Alina. Fancy Pink Goat. Intellectual Archive, dezembro de 2023. http://dx.doi.org/10.32370/iaj.2998.

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"Fancy Pink Goat" is a contemporary art piece from the Fancy Collection, created in Spain in 2022. It is a vividly colorful painting dominated by pink and blue, which are the signature colors of the artist`s style. The painting features a fancy goat walking through the jungle with its elegant collar and abstract, long legs. Surrounding the Fancy Pink Goat are a variety of other unusual creatures inhabiting the jungle and keeping the goat company. The artist`s signature red high-heeled shoes are also present, adding a touch of sophistication and style to the painting. This artwork is an impressive example of the artist`s unique style, which blends elements of surrealism and abstraction to create a sense of fantasy and wonder. The overall effect is an intriguing and vibrant work of art that captures the viewer`s imagination. With its expert technique and distinctive style, "Fancy Pink Goat" is truly a gem in the Fancy Collection.
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Bocanegra, Melanie C. Characterizing an EMT Signature in Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, abril de 2010. http://dx.doi.org/10.21236/ada534258.

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Bocanegra, Melanie C. Characterizing an EMT Signature in Breast Cancer. Fort Belvoir, VA: Defense Technical Information Center, abril de 2009. http://dx.doi.org/10.21236/ada504702.

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Bishop, Megan, Vuong Truong, Sophia Bragdon e Jay Clausen. Comparing the thermal infrared signatures of shallow buried objects and disturbed soil. Engineer Research and Development Center (U.S.), setembro de 2024. http://dx.doi.org/10.21079/11681/49415.

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The alteration of physical and thermal properties of native soil during object burial produces a signature that can be detected using thermal infrared (IR) imagery. This study explores the thermal signature of disturbed soil compared to buried objects of different compositions (e.g., metal and plastic) buried 5 cm below ground surface (bgs) to better understand the mechanisms by which soil disturbance can impact the performance of aided target detection and recognition (AiTD/R). IR imagery recorded every five minutes were coupled with meteorological data recorded on 15-minute intervals from 1 July to 31 October 2022 to compare the diurnal and long-term fluctuations in raw radiance within a 25 × 25 pixel area of interest (AOI) above each target. This study examined the diurnal pattern of the thermal signature under several varying environmental conditions. Results showed that surface effects from soil disturbance increased the raw radiance of the AOI, strengthening the contrast between the object and background soil for several weeks after object burial. Enhancement of the thermal signature may lead to expanded windows of object visibility. Target age was identified as an important element in the development of training data sets for machine learning (ML) classification algorithms.
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Allende López, Marcos, Diego López, Sergio Cerón, Antonio Leal, Adrián Pareja, Marcelo Da Silva, Alejandro Pardo et al. Quantum-Resistance in Blockchain Networks. Inter-American Development Bank, junho de 2021. http://dx.doi.org/10.18235/0003313.

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This paper describes the work carried out by the Inter-American Development Bank, the IDB Lab, LACChain, Cambridge Quantum Computing (CQC), and Tecnológico de Monterrey to identify and eliminate quantum threats in blockchain networks. The advent of quantum computing threatens internet protocols and blockchain networks because they utilize non-quantum resistant cryptographic algorithms. When quantum computers become robust enough to run Shor's algorithm on a large scale, the most used asymmetric algorithms, utilized for digital signatures and message encryption, such as RSA, (EC)DSA, and (EC)DH, will be no longer secure. Quantum computers will be able to break them within a short period of time. Similarly, Grover's algorithm concedes a quadratic advantage for mining blocks in certain consensus protocols such as proof of work. Today, there are hundreds of billions of dollars denominated in cryptocurrencies that rely on blockchain ledgers as well as the thousands of blockchain-based applications storing value in blockchain networks. Cryptocurrencies and blockchain-based applications require solutions that guarantee quantum resistance in order to preserve the integrity of data and assets in their public and immutable ledgers. We have designed and developed a layer-two solution to secure the exchange of information between blockchain nodes over the internet and introduced a second signature in transactions using post-quantum keys. Our versatile solution can be applied to any blockchain network. In our implementation, quantum entropy was provided via the IronBridge Platform from CQC and we used LACChain Besu as the blockchain network.
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Clausen, Jay, Rosa Affleck, Christopher Felt, Michael Musty, Steven Peckham, Susan Frankenstein, Anna Wagner, Raju Kala e Andrew Trautz. Modernizing environmental signature physics for target detection. Engineer Research and Development Center (U.S.), julho de 2021. http://dx.doi.org/10.21079/11681/41240.

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The objective of this study was to determine the effect of environmental phenomonology on the ability to detect buried objects and to provide a predictive capability of when targets are best detectable with IR sensors. Jay Clausen presented this material at the ERDC RD20 Conference.
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