Готові списки джерел за темами / Diagnostic à distance

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Добірка наукової літератури з теми "Diagnostic à distance"

Автор: Grafiati

Опубліковано: 11 січня 2025

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Статті в журналах з теми "Diagnostic à distance"

Yanagawa, Yutaka, and Akira Taniguchi. "Multiple diagnosable distance range ultrasonic diagnostic." Journal of the Acoustical Society of America 89, no. 1 (January 1991): 492. http://dx.doi.org/10.1121/1.400389.

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Rao, Dr Sumesh T. "Hyomental Distance Ratio as a Diagnostic Predictor of Difficult Laryngoscopy." Indian Journal of Applied Research 3, no. 8 (October 1, 2011): 511–13. http://dx.doi.org/10.15373/2249555x/aug2013/161.

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van Huyssteen, C. W., E. Michéli, M. Fuchs, and I. Waltner. "Taxonomic distance between South African diagnostic horizons and the World Reference Base diagnostics." CATENA 113 (February 2014): 276–80. http://dx.doi.org/10.1016/j.catena.2013.08.010.

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Ghose, Sanjoy. "Distance Representations of Consumer Perceptions: Evaluating Appropriateness by Using Diagnostics." Journal of Marketing Research 35, no. 2 (May 1998): 137–53. http://dx.doi.org/10.1177/002224379803500201.

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To understand consumer perceptions of product/market structures, marketers must choose from a wide variety of spatial and tree models. Because spatial and tree representations in general possess different distance patterns, diagnostic measures calculated from the input data of dissimilarities or similarities should be able to indicate how appropriate a certain type of representation might be for a given set of input data. In this article, the author draws from previous literature on the characteristics of diagnostic measures and representation models to develop some partial hypotheses about how well the measures might indicate the appropriateness (in terms of fit) of different models. Empirical analysis indicates that the skewness diagnostic is clearly the best predictor of the appropriateness of representation models; this finding is consistent across a variety of comparable spatial and tree models. Centrality and the reciprocity-related measure, in conjunction with skewness, are useful for specific types of space–tree pairs. The author uses the U-Method (closely related to jackknifing) of prediction, in conjunction with discriminant analysis models, to show that the diagnostics can predict the relative appropriateness of spaces versus trees with accuracy levels substantially greater than what would be expected by chance.

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Vergeer, S. B., R. Oldenkamp, M. Senkoro, S. Mfinanga, S. G. Hinderaker, and F. van Leth. "Does distance to healthcare facility affect care-seeking for TB-related symptoms in Tanzania?" International Journal of Tuberculosis and Lung Disease 26, no. 8 (August 1, 2022): 747–52. http://dx.doi.org/10.5588/ijtld.21.0662.

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BACKGROUND: In high TB burden countries, delayed diagnosis remains a big challenge in TB control. The objective of this study is to assess the role of distance between residence and healthcare facility (HCF) on care-seeking among individuals with symptoms associated with pulmonary TB in Tanzania.METHODS: In this cross-sectional study, using data from a national TB survey, coordinates of 300 (residential) sites within 62 clusters were obtained through Google searches and average distances to HCF were calculated per cluster. Univariable and multivariable logistic regression analyses were conducted, with care-seeking behaviour being the primary outcome variable.RESULTS: Distance from residence to HCF had no effect on care-seeking behaviour of individuals with TB-related symptoms in this study (OR 1.00, 95% CI 1.00–1.00). Over 85% of HCFs where care has been sought lack TB diagnostic capacity, mostly comprising dispensaries with staff less educated in TB-related symptoms.CONCLUSION: Care-seeking behaviour among individuals with TB-related symptoms in Tanzania was not found to be associated with distance to HCF. First-line diagnostics should be improved 1) by equipping local dispensaries with basic TB diagnostic capacity, and 2) by educating staff of local dispensaries more thoroughly about basic TB symptoms and the importance of swift referrals.

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DuBose, Terry J., Joseph Bittengle, and Robert Donaldsont. "Diagnostic Medical Sonography, Interactive Video, and Distance Learning." Journal of Diagnostic Medical Sonography 13, no. 3 (May 1997): 146–52. http://dx.doi.org/10.1177/875647939701300307.

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Hansma, Paul, Patricia Turner, Barney Drake, Eugene Yurtsev, Alexander Proctor, Phillip Mathews, Jason Lelujian, et al. "The bone diagnostic instrument II: Indentation distance increase." Review of Scientific Instruments 79, no. 6 (June 2008): 064303. http://dx.doi.org/10.1063/1.2937199.

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Smuhliakova, M. K. "DIAGNOSTIC ASSESSMENT IN TEACHING FOREIGN LANGUAGES IN DISTANCE LEARNING." Pedagogical Sciences: Theory and Practice, no. 1 (2022): 68–73. http://dx.doi.org/10.26661/2786-5622-2022-1-10.

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Sisson, S. A., and Y. Fan. "A distance-based diagnostic for trans-dimensional Markov chains." Statistics and Computing 17, no. 4 (August 1, 2007): 357–67. http://dx.doi.org/10.1007/s11222-007-9025-z.

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Virgilsen, Line Flytkjær, Henrik Møller, and Peter Vedsted. "Travel distance to cancer-diagnostic facilities and tumour stage." Health & Place 60 (November 2019): 102208. http://dx.doi.org/10.1016/j.healthplace.2019.102208.

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Дисертації з теми "Diagnostic à distance"

Kumar, Sachin. "Development of diagnostic and prognostic methodologies for electronic systems based on Mahalanobis distance." College Park, Md.: University of Maryland, 2009. http://hdl.handle.net/1903/9921.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2009.
Thesis research directed by: Reliability Engineering Program. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Darwesh, Aso. "Diagnostic cognitif en EIAH : le système PépiMep." Paris 6, 2010. http://www.theses.fr/2010PA066397.

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L’objectif de notre travail est de concevoir un système de diagnostic automatique fiable utilisé à grande échelle sur une plateforme d’enseignement en ligne dans le domaine de l’apprentissage de l’algèbre élémentaire. Ma thèse s’est déroulée dans le cadre du projet Lingot, projet de recherche pluridisciplinaire regroupant, des informaticiens, des didacticiens des mathématiques, des psychologues ergonomes, des enseignants et des formateurs d’enseignants. Ce projet a deux objectifs fondamentaux. Le premier consiste à concevoir des EIAH (Environnements Informatiques pour l’Apprentissage Humain) pour aider les enseignants à gérer la diversité cognitive des élèves pour l’apprentissage de l’algèbre au collège. Le deuxième objectif est de fournir aux chercheurs des dispositifs d’observation pour étudier, sur le long terme, les résultats d’apprentissage des enseignements dispensés. Notre apport est double : d’une part il porte sur l’évaluation du diagnostic et l’amélioration de sa qualité et, d’autre part, il propose un diagnostic adaptatif. Enfin notre système a été mis en œuvre sur la plateforme de l’association Sésamath utilisée par des milliers d’enseignants et d’élèves. Le problème principal qui nous concerne, en tant qu’informaticien, est celui du mode d’inférence des descripteurs de la compétence d’un apprenant à partir des données recueillies lors d’un test diagnostic. Le processus de diagnostic se décompose en deux étapes : un diagnostic local qui consiste à analyser chaque réponse d’un élève, et un diagnostic que nous qualifions de global qui consiste à détecter des cohérences dans les réponses des élèves afin de dresser un bilan des compétences qui ont été détectées. Nous avons, à partir de premiers prototypes, mis au point un modèle conceptuel et un logiciel, PépiMep, qui le met en œuvre. Dans un premier temps, PépiMep recueille des réponses ou des raisonnements algébriques sur une plateforme d’enseignement en ligne, puis, dans un deuxième temps, PépiMep analyse ces réponses en prenant en compte non seulement leur degré de validité mais aussi leur caractérisation sur plusieurs dimensions. Cette analyse s’appuie sur un logiciel de calcul formel développé par l’équipe. Enfin PépiMep construit un bilan cognitif qui caractérise la compétence de l’élève, en établissant des leviers pour l’apprentissage et des fragilités à faire évoluer, et qui le situe sur une échelle de compétence. Nous avons mis en place les modèles de données et le système qui les interprète. Nous nous sommes enfin penchés sur le problème de mettre au point un diagnostic adaptatif pour minimiser le temps de passage du test diagnostic. Ce diagnostic s’appuie sur le modèle markovien de décision séquentielle. Pour mener à bien notre travail de recherche, nous avons adopté une démarche fondée sur le prototypage et sur l’analyse de corpus de réponses d’élèves obtenus à partir de prototypes. Nous avons mis en place des outils pour faciliter l’analyse de ces données par des experts humains (enseignants et didacticiens des mathématiques dans notre cas) et la comparaison entre le diagnostic automatique et celui d’experts ou de professionnels humains. Les résultats de cette comparaison montrent que notre système permet de faire instantanément un travail qui prend plusieurs heures à un expert humain, selon un taux de concordance avec l’expertise humaine qui est supérieur aux taux d’accords entre experts humains avant discussion pour établir un consensus sur un corpus de référence.

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Gliga, Lavinius ioan. "Diagnostic d'une Turbine Eolienne à Distance à l'aide du Réseau de Capteurs sans Fil." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMR063/document.

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Les Éoliennes à Entraînement Direct (ÉED) sont équipées de Générateurs Syn- chrones à Aimants Permanents (GSAP). Leurs trois plus courantes défaillances sont la dé- magnétisation, l’excentricité (statique, dynamique et mixte) et le court-circuit inter-tour. L’analyse de la signature du courant de la machine est souvent utilisée pour rechercher des problèmes du générateur, car ces altérations introduisent des harmoniques supplémen- taires dans les courants générés. La Transformée de Fourier Rapide (TFR) est utilisée pour calculer le spectre des courants. Cependant, la TFR permet de calculer l’ensemble du spec- tre, tandis que le nombre de défauts possible et le nombre d’harmoniques introduites sont faibles. L’algorithme de Goertzel, mis en oeuvre sous forme de filtre (le filtre de Goertzel), est présenté comme une alternative plus efficace au TFR. Le spectre des courants change avec la vitesse du vent, ce qui rend la détection plus difficile. Le Filtre de Kalman Étendu (FKÉ) est proposé comme solution. Le spectre de résidus, calcule entre les courants estimés et les courants générés, est constant, quelle que soit la vitesse du vent. Cependant, l’effet des défauts est visible dans leur spectre. Lors de l’utilisation de l’FKÉ, un défi consiste à estime la matrice de covariance pour le bruit du processus. Une nouvelle méthode était développée pour ça, qui n’utilise aucune de maîtrise du filtre. Les ÉED sont placés soit dans des zones éloignées, soit dans des villes. Pour la surveillance des ÉED, des dizaines ou des centaines de kilomètres de câbles sont nécessaires. Les Réseaux de Capteurs sans Fil (RCF) sont bien adaptés pour être utilisés dans l’infrastructure de communication des ÉED. RCF ont des coûts initiaux et d’entretien plus faibles et leurs installations sont rapides. De plus, ils peuvent compléter les réseaux câblés. Différentes technologies sans fil sont comparées : les technologies à grande surface, ainsi que les technologies à courte portée qui supportent des débits de données élevés
Direct Drive Wind Turbines (DDWTs) are equipped with Permanent Magnet Syn- chronous Generators (PMSGs). Their three most common failures are demagnetization, ec- centricity (static, dynamic and mixed) and inter-turn short circuit. Machine Current Signa- ture Analysis is often used to look for generator problems, as these impairments introduce additional harmonics into the generated currents. The Fast Fourier Transform (FFT) is utilized to compute the spectrum of the currents. However, the FFT calculates the whole spectrum, while the number of possible faults and the number of introduced harmonics is low. The Goertzel algorithm, implemented as a filter (the Goertzel filter), is presented as a more efficient alternative to the FFT. The spectrum of the currents changes with the wind speed, and thus the detection is made more difficult. The Extended Kalman Filter (EKF) is proposed as a solution. The spectrum of the residuals, computed between the estimated and the generated current, is constant, regardless of the wind speed. However, the effect of the faults is visible in the spectrum. When using the EKF, one challenge is to find out the covariance matrix of the process noise. A new method was developed in this regard, which does not use any of the matrices of the filter. DDWTs are either placed in remote areas or in cities. For the monitoring of a DDWT, tens or hundreds of kilometers of cables are necessary. Wireless Sensor Networks (WSNs) are suited to be used in the communication infrastructure of DDWTs. WSNs have lower initial and maintenance costs, and they are quickly installed. Moreover, they can complement wired networks. Different wireless technologies are com- pared - both wide area ones, as well as short range technologies which support high data rates

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Ben, Rabah Nourhène. "APPROCHE INTELLIGENTE À BASE DE RAISONNEMENT À PARTIR DE CAS POUR LE DIAGNOSTIC EN LIGNE DES SYSTÈMES AUTOMATISÉS DE PRODUCTION." Thesis, Reims, 2018. http://www.theses.fr/2018REIMS036/document.

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Les systèmes automatisés de production (SAP) représentent une classe importante des systèmes industriels qui sont de plus en plus complexes vue le grand nombre d’interaction et d’interconnexion entre leurs différents composants. En conséquence, ils sont plus sensibles aux dysfonctionnements dont les conséquences peuvent être importantes en termes de productivité, de sécurité et de qualité de production. Un défi majeur est alors de développer une approche intelligente qui peut être utilisée pour le diagnostic de ces systèmes afin de garantir leurs suretés de fonctionnement. Dans le cadre de cette thèse, nous nous intéressons seulement au diagnostic des SAP ayant une dynamique discrète. Nous présentons dans le premier chapitre ces systèmes, les dysfonctionnements possibles et la terminologie du diagnostic utilisée. Ensuite, nous présentons un état de l’art de différentes méthodes et approches existantes et aussi une synthèse de ces méthodes. Cette synthèse nous a motivé de choisir une approche à base de donnée qui s’appuie sur une technique d’apprentissage automatique, qui est le raisonnement à partir de cas (RàPC). Pour cela, nous avons présenté dans le deuxième chapitre un état de l’art sur l’apprentissage automatique et ses différentes méthodes en mettant l’accent essentiellement sur le RàPC et ses utilisations pour le diagnostic des systèmes industriels. Cette étude nous a permis de proposer dans le chapitre 3 une approche d’aide au diagnostic qui se base sur le RàPC. Cette approche s’appuie sur une phase hors ligne et une phase en ligne. La phase hors ligne permet de définir un format de représentation de cas et de construire une base de cas normaux (BCN) et une base de cas défaillants (BCD) à partir d’une base de données d’historique. La phase en ligne permet d’aider les opérateurs humains de surveillance à la prise de la décision du diagnostic la plus adéquate. Les résultats des expérimentations sur un système de tri de caisses ont présentés les piliers de cette approche qui résident au niveau du format de représentation de cas proposé et au niveau de la base de cas utilisé. Pour résoudre ces problèmes et améliorer les résultats, un nouveau format de représentation de cas est proposé dans le chapitre 4. Selon ce format et à partir des données issues du système simulé après son émulation en mode normal et fautif, les cas de la base de cas initiale sont construits. Ensuite, une phase de raisonnement et d’apprentissage incrémental est présentée. Cette phase permet non seulement le diagnostic du système surveillé mais aussi d’enrichir la base de cas suite à l’apparition des nouveaux comportements inconnus. Les expérimentations présentées dans le chapitre 5 sur « le plateau tournant » qui est un sous système du système « tri de caisses » ont permis de montrer l’amélioration des résultats et aussi d’évaluer et de comparer les performances de l’approche proposée vis-à-vis certaines approches d’apprentissage automatique et vis-à-vis une approche à base de modèle pour le diagnostic du plateau tournant
Automated production systems (APS) represents an important class of industrial systems that are increasingly complex given the large number of interactions and interconnections between their different components. As a result, they are more susceptible to malfunctions, whose consequences can be significant in terms of productivity, safety and quality of production. A major challenge is to develop an intelligent approach that can be used to diagnose these systems to ensure their operational safety. In this thesis, we are only interested in the diagnosis of APS with discrete dynamics. We present in the first chapter these systems, the possible malfunctions and the used terminology for the diagnosis. Then, we present a state of the art of the existing methods for the diagnosis of this class of systems and also a synthesis of these methods. This synthesis motivated us to choose a data-based approach that relies on a machine learning technique, which is Case-Based Reasoning (CBR). For this reason, we presented in the second chapter a state of the art on machine learning and its different methods with a focus mainly on the CBR and its uses for the diagnosis of industrial systems. This study allowed us to propose in Chapter 3 a Case Based Decision Support System for the diagnosis of APS. This system is based on an online block and an offline block. The Offline block is used to define a case representation format and to build a Normal Case Base (NCB) and a Faulty Case Base (FCB) from a historical database. The online block helps human operators of monitoring to make the most appropriate diagnosis decision. The experiments results perform on a sorting system presented the pillars of this approach, which reside in the proposed case representation format and in the used case base. To solve these problems and improve the results, a new case representation format is proposed in chapter 4. According to this format and from the data acquired from the simulated system after its emulation in normal and faulty mode, cases of the initial case base are build. Then, a reasoning and incremental learning phase is presented. This phase allows the system diagnosis and the enrichment of the case base following the appearance of new unknown behaviors. The experiments presented in Chapter 5 and perform on the 'turntable' which is a subsystem of the 'sorting system” allowed to show the improvement of the results and also to evaluate and compare the performances of the proposed approach with some automatic learning approaches and with a model-based approach to turntable diagnosis

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Leaf, Kyle, and Fulvio Melia. "A two-point diagnostic for the H ii galaxy Hubble diagram." OXFORD UNIV PRESS, 2018. http://hdl.handle.net/10150/627132.

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A previous analysis of starburst-dominated HII galaxies and HII regions has demonstrated a statistically significant preference for the Friedmann-Robertson-Walker cosmology with zero active mass, known as the R-h = c(t) universe, over Lambda cold dark matter (Lambda CDM) and its related dark-matter parametrizations. In this paper, we employ a two-point diagnostic with these data to present a complementary statistical comparison of Rh = ct with Planck Lambda CDM. Our two-point diagnostic compares, in a pairwise fashion, the difference between the distance modulus measured at two redshifts with that predicted by each cosmology. Our results support the conclusion drawn by a previous comparative analysis demonstrating that Rh = ct is statistically preferred over Planck Lambda CDM. But we also find that the reported errors in the HII measurements may not be purely Gaussian, perhaps due to a partial contamination by non-Gaussian systematic effects. The use of HII galaxies and HII regions as standard candles may be improved even further with a better handling of the systematics in these sources.

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O'Donnell, Siobhán C. "One-leg hop for distance in the anterior cruciate ligament deficient population, diagnostic ability and determinants of performance." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ63214.pdf.

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Lanoix, Patrick. "L'entorse grave externe de la cheville : diagnostic, traitement, resultats a distance : a propos d'une serie de 58 entorses traitees chirurgicalement." Université Louis Pasteur (Strasbourg) (1971-2008), 1992. http://www.theses.fr/1992STR1M038.

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Zhou, Hai-ying. "Réseau de capteurs sans fil dédié à la détection et au diagnostic d'arytmie cardiaque en temps réel, en continu et à distance." Clermont-Ferrand 2, 2004. http://www.theses.fr/2004CLF22539.

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André, Barbara. "Atlas intelligent pour guider le diagnostic en endomicroscopie : une application clinique de la reconnaissance d'images par le contenu." Phd thesis, École Nationale Supérieure des Mines de Paris, 2011. http://pastel.archives-ouvertes.fr/pastel-00640899.

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L'Endomicrocopie Confocale par Minisondes (ECM) permet l'observation dynamique des tissus au niveau cellulaire, in vivo et in situ, pendant une endoscopie. Grâce à ce nouveau système d'imagerie, les médecins endoscopistes ont la possibilité de réaliser des "biopsies optiques" non invasives. Les biopsies traditionnelles impliquent le diagnostic ex vivo d'images histologiques par des médecins pathologistes. Le diagnostic in vivo d'images ECM est donc un véritable challenge pour les endoscopistes, qui ont en général seulement un peu d'expertise en anatomopathologie. Les images ECM sont néanmoins de nouvelles images, qui ressemblent visuellement aux images histologiques. Cette thèse a pour but principal d'assister les endoscopistes dans l'interprétation in vivo des séquences d'images ECM. Lors de l'établissement d'un diagnostic, les médecins s'appuient sur un raisonnement par cas. Afin de mimer ce processus, nous explorons les méthodes de Reconnaissance d'Images par le Contenu (CBIR) pour l'aide au diagnostique. Notre premier objectif est le développement d'un système capable d'extraire de manière automatique un certain nombre de vidéos ECM qui sont visuellement similaires à la vidéo requête, mais qui ont en plus été annotées avec des métadonnées comme par exemple un diagnostic textuel. Un tel système de reconnaissance devrait aider les endoscopistes à prendre une décision éclairée, et par là-même, à établir un diagnostic ECM plus précis. Pour atteindre notre but, nous étudions la méthode des Sacs de Mots Visuels, utilisée en vision par ordinateur. L'analyse des propriétés des données ECM nous conduit à ajuster la méthode standard. Nous mettons en œuvre la reconnaissance de vidéos ECM complètes, et pas seulement d'images ECM isolées, en représentant les vidéos par des ensembles de mosaïques. Afin d'évaluer les méthodes proposées dans cette thèse, deux bases de données ECM ont été construites, l'une sur les polypes du colon, et l'autre sur l'œsophage de Barrett. En raison de l'absence initiale d'une vérité terrain sur le CBIR appliquée à l'ECM, nous avons d'abord réalisé des évaluations indirectes des méthodes de reconnaissance, au moyen d'une classification par plus proches voisins. La génération d'une vérité terrain éparse, contenant les similarités perçues entre des vidéos par des experts en ECM, nous a ensuite permis d'évaluer directement les méthodes de reconnaissance, en mesurant la corrélation entre la distance induite par la reconnaissance et la similarité perçue. Les deux évaluations, indirecte et directe, démontrent que, sur les deux bases de données ECM, notre méthode de reconnaissance surpasse plusieurs méthodes de l'état de l'art en CBIR. En termes de classification binaire, notre méthode de reconnaissance est comparable au diagnostic établi offline par des endoscopistes experts sur la base des Polypes du Colon. Parce que diagnostiquer des données ECM est une pratique de tous les jours, notre objectif n'est pas seulement d'apporter un support pour un diagnostique ponctuel, mais aussi d'accompagner les endoscopistes sans leurs progrès. A partir des résultats de la reconnaissance, nous estimons la difficulté d'interprétation des vidéos ECM. Nous montrons l'existence d'une corrélation entre la difficulté estimée et la difficulté de diagnostic éprouvée par plusieurs endoscopistes. Cet estimateur pourrait ainsi être utilisé dans un simulateur d'entraînement, avec différents niveaux de difficulté, qui devrait aider les endoscopistes à réduire leur courbe d'apprentissage. La distance standard basée sur les mots visuels donne des résultats adéquats pour la reconnaissance de données ECM. Cependant, peu de connaissance clinique est intégrée dans cette distance. En incorporant l'information a priori sur les similarités perçues par les experts en ECM, nous pouvons apprendre une distance de similarité qui s'avère être plus juste que la distance standard. Dans le but d'apprendre la sémantique des données ECM, nous tirons également profit de plusieurs concepts sémantiques utilisés par les endoscopistes pour décrire les vidéos ECM. Des signatures sémantiques basées mots visuels sont alors construites, capables d'extraire, à partir de caractéristiques visuelles de bas niveau, des connaissances cliniques de haut niveau qui sont exprimées dans le propre langage de l'endoscopiste.

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Hughes, Stephen John. "Applications and diagnostics of time-distance helioseismology." Thesis, Imperial College London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.414378.

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Книги з теми "Diagnostic à distance"

Sutton, David G., and Colin J. Martin. Diagnostic radiology—Facility. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199655212.003.0013.

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The exposure to radiation of staff and members of the public is restricted by seeking suitable compromises between the three basic elements of time, distance, and shielding. This chapter deals with the design of X-ray facilities to ensure that the distance and shielding elements are used appropriately. Criteria in the form of dose constraints for staff and the public based on the ALARP principle are used together with occupancies of adjacent areas to determine acceptable dose levels. Methods for calculating doses from workloads in terms of patient dose data are described. The results are then combined with the dose criteria to derive transmission requirements for protective barriers. Specific requirements for secondary scattered radiation and primary beams in radiography are considered. The methodology is described together with practical examples of room design for different X-ray techniques and elements of personnel radiation protection are discussed.

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One-leg hop for distance in the anterior cruciate ligament deficient population: Diagnostic ability and determinants of performance. Ottawa: National Library of Canada, 2001.

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Riveros-Perez, Efrain, and Mauricio Perilla. Specialty Practice Situations. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190885885.003.0008.

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Recent advances in surgical and interventional procedures have led to a significant and increased demand for anesthesia services in locations distant from the traditional operating room. Special settings such as ophthalmologic surgery, interventional radiology, and the electrophysiology lab present unique challenges to the anesthesia provider. In addition to the remote location of the procedure rooms, the lack of familiarity with the equipment and distance from emergency back-up make for a challenging situation. Judicious preparation and set up of anesthesia equipment and materials as well as communication between the anesthesiologist, proceduralist, technicians, and nursing staff are key to performing these procedures in a safe fashion. Finally, procedures involving radiation exposure require awareness of occupational and patient safety concerns. This chapter discusses relevant anesthetic considerations for interventions performed in special settings including ophthalmologic surgery, gastrointestinal endoscopy, interventional radiology, cardiac diagnostic, and magnetic resonance imaging suites.

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Martin-Joy, John. Diagnosing from a Distance. Cambridge University Press, 2020.

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Kunzel, Regina. The Rise of Gay Rights and the Disavowal of Disability in the United States. Edited by Michael Rembis, Catherine Kudlick, and Kim E. Nielsen. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190234959.013.27.

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Homosexuality has a complex history of entwinement with disability, marked most notably by its long-standing designation as a form of mental illness. That attribution was anticipated by nineteenth-century sexologists and promoted by mid-twentieth-century psychiatrists. In the years that followed, gay and lesbian activists worked to distance themselves from that stigmatizing association, successfully lobbying to remove “homosexuality” from the Diagnostic and Statistical Manual of Mental Disorders (DSM) in 1973. Revisited here is the history of the gay liberationist battle against the psychiatric establishment as viewed through the analytical lenses offered by critical disability studies and disability history. Also tracked are the exclusionary and stigmatizing effects of the insistence on homosexuality as “healthy.”

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Carlino, Ricardo. Distance Psychoanalysis: The Theory and Practice of Using Communication Technology in the Clinic. Taylor & Francis Group, 2018.

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Carlino, Ricardo. Distance Psychoanalysis: The Theory and Practice of Using Communication Technology in the Clinic. Taylor & Francis Group, 2018.

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Distance Psychoanalysis The Theory And Practice Of Using Communication Technology In The Clinic. Karnac Books, 2011.

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Diagnosing from a Distance: Debates over Libel Law, Media, and Psychiatric Ethics from Barry Goldwater to Donald Trump. Cambridge University Press, 2020.

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Martin-Joy, John. Diagnosing from a Distance: Debates over Libel Law, Media, and Psychiatric Ethics from Barry Goldwater to Donald Trump. Cambridge University Press, 2020.

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Частини книг з теми "Diagnostic à distance"

Taylor, Samuel D., and Peter R. Sutton. "A Frame-Theoretic Model of Bayesian Category Learning." In Language, Cognition, and Mind, 329–49. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-50200-3_15.

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AbstractBayesian models of category learning typically assume that the most probable categories are those that group input stimuli together around a maximally optimal number of shared features. One potential weakness of such feature list approaches, however, is that it is unclear how to weight observed features to be more or less diagnostic for a given category. In this theoretically oriented paper, we develop a frame-theoretic model of Bayesian category learning that weights the diagnosticity of observed attribute values in terms of their position within the structure of a frame (formalised as distance from the frame’s central node). We argue that there are good grounds to further develop and empirically test frame-based learning models, because they have theoretical advantages over unweighted feature list models, and because frame structures provide a principled means of assigning weights to attribute values without appealing to supervised training data.

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Zhang, David, Wangmeng Zuo, and Peng Wang. "Edit Distance for Pulse Diagnosis." In Computational Pulse Signal Analysis, 217–30. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-4044-3_11.

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Jensen, Jesper Munk, Bo Holm Jacobsen, and JøRgen Christensen-Dalsgaard. "Sensitivity Kernels for Time-Distance Inversion." In Helioseismic Diagnostics of Solar Convection and Activity, 231–39. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4377-6_15.

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Rousseeuw, Peter J., and Bert C. van Zomeren. "Robust Distances: Simulations and Cutoff Values." In Directions in Robust Statistics and Diagnostics, 195–203. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-4444-8_11.

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Bresolin, Fabio. "Blue Supergiants as a Tool for Extragalactic Distances — Empirical Diagnostics." In Stellar Candles for the Extragalactic Distance Scale, 149–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39882-0_8.

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Kosovichev, A. G., T. L. Duvall, and P. H. Scherrer. "Time-Distance Inversion Methods and Results (Invited Review)." In Helioseismic Diagnostics of Solar Convection and Activity, 159–76. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4377-6_9.

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Price, Gary H. "Ray Travel Time and Distance for the Planar Polytrope." In Helioseismic Diagnostics of Solar Convection and Activity, 211–23. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4377-6_13.

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Patil, Nishad, Diganta Das, and Michael Pecht. "Mahalanobis Distance Approach for Insulated Gate Bipolar Transistors Diagnostics." In Advanced Concurrent Engineering, 643–51. London: Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-024-3_60.

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Xiong, Jianhua, Fen Luo, Shuliang Ding, and Huiqiong Duan. "A Cognitive Diagnosis Method Based on Mahalanobis Distance." In Springer Proceedings in Mathematics & Statistics, 319–33. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77249-3_27.

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Campos, L. M. B. C. "On Umbral Oscillations as a Sunspot Diagnostic." In Seismology of the Sun and the Distant Stars, 293–301. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4608-8_32.

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Тези доповідей конференцій з теми "Diagnostic à distance"

Jung, Chaekyun, Suhwan Kim, Jinwoo Park, Seongweon Kim, and Hoki Kim. "Real-Time Monitoring Technology for Long Distance HVDC Transmission." In 2024 10th International Conference on Condition Monitoring and Diagnosis (CMD), 340–41. IEEE, 2024. https://doi.org/10.23919/cmd62064.2024.10766208.

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Kang, Hyemin, Yonghee Kim, and Se-Hee Lee. "Finite Element Analysis of Air-Insulator Discharge Current with Discharge Distance." In 2024 10th International Conference on Condition Monitoring and Diagnosis (CMD), 803–4. IEEE, 2024. https://doi.org/10.23919/cmd62064.2024.10766133.

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Vilches, Sergio, Hans Zappe, and Caglar Ataman. "Interferometric, fiber-based, real-time distance sensor for endoscopic applications." In Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVII, edited by Anita Mahadevan-Jansen and Warren S. Grundfest. SPIE, 2019. http://dx.doi.org/10.1117/12.2507811.

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Ya-juan, Han, He Zhen, and Song Guo-fang. "Research for multidimensional systems diagnostic analysis based on improved mahalanobis distance." In EM). IEEE, 2009. http://dx.doi.org/10.1109/icieem.2009.5344604.

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Dragan, Dinu, and Dragan Ivetić. "THE POTENTIAL APPLICATION OF REGION MARKING SOFTWARE TOOL IN MEDICAL DIAGNOSTIC EDUCATION." In eLSE 2012. Editura Universitara, 2012. http://dx.doi.org/10.12753/2066-026x-12-078.

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Subjective quality evaluation of medical images is mostly achieved using some version of ROC (Receiver Operating Characteristic) evaluation. The evaluation is conducted in two phases: data gathering and data analysis. In the data gathering phase observers perform diagnostic tasks by marking regions of interest. A region marking software tool is used for data gathering. Statistical data extracted from these markings are used for medical image evaluation in the data analysis phase of ROC evaluation. Medical image influence on diagnostic accuracy is evaluated by measuring whether the same results are achieved compared to some gold rule. In this paper we will demonstrate that a region marking software tool can be used as a software platform for education in medical image diagnostics. Specifically, diagnostic tasks are performed the same way in both ROC evaluation and medical image diagnostic education. The difference occurs in later stages. When the observer reaches the end of the ROC evaluation, hers/his answers are converted to ROC statistical data. The results are not reported to the observer. In medical image diagnostic education the observer’s results are compared to the gold standard, a report is generated, and the results are presented to the observer. It is possible to view each of the images evaluated with the observer’s marks compared to the gold standard. Therefore, a region marking software tool is a potential tool for education in medical diagnostic. We implemented a region marking software tool for ROC evaluation of medical images. We had several goals in mind: (1) it should resemble software tools used in everyday clinical tasks: (2) it should be accessible over distance; (3) it should be usable in education; and (4) it should be free. Therefore, we based our solution on web technologies, such as HTML, PHP, JavaScript, and MySQL. The region marking software tool for ROC evaluation of medical images has been used during our research on quality evaluation system of medical images in PACS systems (Picture Archiving and Communication System). We will present a prototype software tool built upon the region marking software tool to support educational use. Its foundations in web technologies make it an ideal tool for presence and distance education and training in medical image diagnostics.

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Pomeranz, Irith, and Sudhakar M. Reddy. "Gradual Diagnostic Test Generation Based on the Structural Distance between Indistinguished Fault Pairs." In 2010 IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (DFT). IEEE, 2010. http://dx.doi.org/10.1109/dft.2010.49.

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Hui, Sun. "Research on Resource Search Technology and Student Diagnostic Evaluation in Distance Education System." In 2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA). IEEE, 2023. http://dx.doi.org/10.1109/eebda56825.2023.10090778.

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Chraska, T., K. Neufuss, J. Oberste-Berghaus, M. Lamontagne, and C. Moreau. "In-Flight Particle Diagnostic of Water Stabilized Plasma Spray Process." In ITSC2005, edited by E. Lugscheider. Verlag für Schweißen und verwandte Verfahren DVS-Verlag GmbH, 2005. http://dx.doi.org/10.31399/asm.cp.itsc2005p1292.

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Abstract Individual particles of various ceramic materials sprayed by water stabilized plasma torch (WSP) were characterized in flight by an optical sensing device DPV-2000. Temperature, velocity, and diameter of individual particles were measured at the center of particle plume and maps of the particle plume cross-section were acquired as well. Plasma jet and consecutively particle plume of the WSP torch is much larger compared to gas stabilized torches and even larger than the maximum span of the DPV-2000 sensing head. In summary, temperatures of particles varied from 2000 to 2600°C and their velocities from 60 to 140 m/s depending on the powder feedstock cut size, particle density, feeding distance, spraying distance, and feed rate. The last three parameters were varied to study their effect on the particle states and their distribution in the plasma jet and to correlate these results with selected properties of the corresponding coating. Some of the spraying parameter effects are difficult to interpret, nevertheless, general trends have been established.

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Padovese, Bruno T., Denis H. P. Salvadeo, and Daniel C. G. Pedronette. "Diagnostic Support for Alzheimers Disease through Feature-Based Brain MRI Retrieval and Unsupervised Distance Learning." In 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE). IEEE, 2016. http://dx.doi.org/10.1109/bibe.2016.52.

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Howell, Adam, Bongsob Song, and J. Karl Hedrick. "Cooperative Range Estimation and Sensor Diagnostics for Vehicle Control." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41931.

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An integrated sensor fusion and fault diagnostic for the cooperative estimation of range and range rate in automated vehicles is presented in this paper. A virtual range sensor created by combining local sensor measurements and a wireless communication link between vehicles is fused with measurements from a Doppler radar and lidar. The sensor fusion is conducted by using a sequential variant of the nonparametric probabilistic data association filter with validation gating. Fault diagnostics are incorporated into the sensor fusion by thresholding the Mahalanobis distance computed in the validation stage. Performance of the integrated system is verified and demonstrated using experimental data obtained from low-speed vehicle following tests.

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Звіти організацій з теми "Diagnostic à distance"

Hawley, Adam, and Swanand Bhagwat. PR-015-19606-R01 In-Situ Ultrasonic Gas Meter Flow Verification. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), February 2021. http://dx.doi.org/10.55274/r0012034.

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This project provided a proof of concept for an in-situ verification method for ultrasonic flow meters in natural gas service. The tested method consisted of simultaneously injecting helium in a minimum of two locations upstream from an ultrasonic flow meter at a known distance apart. The results from this project showed the flow verification method was successful in determining the gas velocity through an ultrasonic flow meter to within �5%. These results indicate that the tested in-situ verification method is not accurate enough to replace a laboratory flow calibration, but could be used as a field diagnostic tool. The accuracy of the results and the scatter in the data were correlated to the distance between the injection points.

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Karpunin, A. Yu, and E. V. Karpunina. Distance course «Analysis and Diagnostics of Financial Insolvency». OFERNIO, March 2018. http://dx.doi.org/10.12731/ofernio.2018.23536.

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Sánchez, Gabriel, Patricio Valenzuela, Eduardo Borensztein, and Sebastián J. Miller. Development Diagnostics for the Southern Cone. Inter-American Development Bank, May 2014. http://dx.doi.org/10.18235/0011634.

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This is an update and revision of our 2009 study. Using a broad dataset and an original methodology, this paper reports composite development gaps across economic, social and institutional sectors. We define development gap as the distance between the observed and the expected development level of a country. The gaps are indicators of areas where development needs are bigger. Although we estimate the development gaps for all countries with available data, we focus the analysis of our results in five Southern Cone countries: Argentina, Brazil, Chile, Paraguay and Uruguay.

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Kharkivska, Alla A., Liudmyla V. Shtefan, Muntasir Alsadoon, and Aleksandr D. Uchitel. Technology of forming future journalists' social information competence in Iraq based on the use of a dynamic pedagogical site. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3853.

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The article reveals scientific approaches to substantiating and developing technology to form social information competence of future Iraqi journalists based on using a dynamic pedagogical site. After pre-interviewing students of the Journalism Faculty at Al-Imam Al-Kadhim University College for Islamic Sciences in Baghdad, the authors came to the conclusion there are issues on defining the essence of social information competences. It is established that the majority of respondents do not feel satisfied with the conditions for forming these competences in the education institutions. At the same time, there were also positive trends as most future journalists recognized the importance of these professional competences for their professional development and had a desire to attend additional courses, including distance learning ones. Subsequently, the authors focused on social information competence of future journalists, which is a key issue according to European requirements. The authors describe the essence of this competence as an integrative quality of personality, which characterizes an ability to select, transform information and allows to organize effective professional communication on the basis of the use of modern communicative technologies in the process of individual or team work. Based on the analysis of literary sources, its components are determined: motivational, cognitive, operational and personal. The researchers came to the conclusion that it is necessary to develop a technology for forming social information competence of future journalists based on the use of modern information technologies. The necessity of technology implementation through the preparatory, motivational, operational and diagnostic correction stages was substantiated and its model was developed. The authors found that the main means of technology implementation should be a dynamic pedagogical site, which, unlike static, allows to expand technical possibilities by using such applications as photo galleries, RSS modules, forums, etc. Technically, it can be created using Site builder. Further research will be aimed at improving the structure of the dynamic pedagogical site of the developed technology.

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Pinchuk, O. P., and A. A. Prokopenko. Model of a computer-orient-ed methodological system for the development of digital competence of officers of the military administration of the Armed Forces of Ukraine in the system of qualification improvement. Національна академія Державної прикордонної служби України імені Б. Хмельницького, 2023. http://dx.doi.org/10.33407/lib.naes.736836.

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Pedagogical modeling of modern educational environments remains an urgent task of educational sciences. Research on the formation and development of digital competence of specialists, although they have common features, differ and acquire characteristic features depending on the field of application. This is due to the focus on mastering specific professional skills and increasing the professional level. We found out that, compared to the social and humanitarian sphere and medicine, the development of digital competence of specialists in the military and defense industry is little discussed in scientific sources. The development of digital competence of military personnel, in particular military management officers, is an urgent problem that requires an immediate solution. On the one hand, the armed aggression of the Russian Federation adds to the criticality of the situation, on the other hand, scientific and technical progress and, as a result, the appearance of new types of weapons and the complexity of digital tools in the environments of military specialists. Scientific approaches and conceptual principles regarding the formation of digital competence of the Armed Forces of Ukraine and NATO member countries are described. Problems, contradictions and trends in the development of digital education of military specialists in the system of professional development are singled out. The article clarifies the concept of “digital competence of military command officers” of the Armed Forces of Ukraine. The authors developed and substantiated a theoretical model of a computer-oriented methodical system for the development of digital competence of officers of the military administration of the Armed Forces of Ukraine in the system of professional development, which is presented in an informative scheme with a description of individual modules combined into conceptual, target, content-methodical, procedural, technological and effective blocks. The built model ensures systematicity and consistency of the educational process in the digital educational environment of higher military education institutions for the development of digital competencies of military management officers. The technological unit contains a variety of software for training and training. In particular, specialized computer programs and multimedia guides. In the content-methodical block, among other things, the following modules are presented: cloud services; information-didactic and educational-methodical learning tools, multimedia objects, VR/AR tools, AI elements that allow selection of existing ones or creation of new learning materials; Training Course; diagnostic tools, etc. The prospect is the verification of the developed model during distance training.

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Kalen, Nicholas. Remediated for accessibility per Section 508. National Park Service, May 2023. http://dx.doi.org/10.36967/2298454.

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I conducted bat surveys at Richmond National Battlefield Park to assess the status of bat communities following potential impacts of the disease white-nose syndrome. This disease, caused by the fungus Pseudogymnoascus destructans, has severely reduced populations of several bat species in the eastern United States, threatening some with regional extirpation. Most affected species include the little brown bat (Myotis lucifugus), northern long-eared bat (Myotis septentrionalis), Indiana bat (Myotis sodalis), and tricolored bat (Perimyotis subflavus). During the summers of 2016-2020, I sampled sites with acoustic bat detectors and conducted capture surveys using mist nets to characterize bat communities with a focus on documenting WNS-imperiled species. I also conducted non-reproductive, or dormant, season acoustic and capture surveys from 2017-2021, to investigate potential local wintering by bats, especially northern long-eared bats, which have recently been discovered wintering in the Coastal Plain of North Carolina. Acoustic results identified the presence of ten bat species by echolocation calls: big brown bat (Eptesicus fuscus), eastern red bat (Lasiurus borealis), hoary bat (Lasiurus cinereus), silver-haired bat (Lasionycteris noctivagans), little brown bat, northern long-eared bat, Indiana bat, evening bat (Nycticeius humeralis), tricolored bat, and Mexican free-tailed bat (Tadarida brasiliensis). Capture surveys documented big brown bats, eastern red bats, silver-haired bats, and evening bats. To examine habitat associations of bat species, I used generalized linear mixed models of a selection of variable candidates: habitat type, distance to water, minimum nightly temperature, and nightly precipitation to predict summer activity. Activity of big brown, eastern red, hoary, and Mexican free-tailed bats was highest in open habitats. Myotis spp. were most associated with mixed forest habitats. Tricolored bat activity was highest and evening bat activity was lowest in riparian and wetland habitats. To examine seasonality in bat species occurrence, I modeled acoustic activity in passes/night by Julian date using generalized additive models. Activity of big brown, eastern red, little brown, and tricolored bats was highest during summer. Activity of northern long-eared and Indiana bats was very low overall but was also highest in the summer. Tree bat species hoary, silver-haired, and Mexican free-tailed bat activity was highest in the spring and fall. Dormant season results suggest some winter occurrences for most bat species. Visual validation of echolocation calls revealed misidentifications were problematic for Myotis spp. little brown bat, northern long-eared bat, and Indiana bat, but diagnostic calls of all three species were recorded. Acoustic passes identified as northern long-eared bats suggest some individuals may be wintering nearby, but winter activity was very low and not indicative of large overwintering populations.

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Kalen, Nicholas. Bats of Richmond National Battlefield Park following white-nose syndrome: Public version. National Park Service, May 2023. http://dx.doi.org/10.36967/2299295.

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I conducted bat surveys at Richmond National Battlefield Park to assess the status of bat communities following potential impacts of the disease white-nose syndrome. This disease, caused by the fungus Pseudogymnoascus destructans, has severely reduced populations of several bat species in the eastern United States, threatening some with regional extirpation. Most affected species include the little brown bat (Myotis lucifugus), northern long-eared bat (Myotis septentrionalis), Indiana bat (Myotis sodalis), and tricolored bat (Perimyotis subflavus). During the summers of 2016–2020, I sampled sites with acoustic bat detectors and conducted capture surveys using mist nets to characterize bat communities with a focus on documenting WNS-imperiled species. I also conducted non-reproductive, or dormant, season acoustic and capture surveys from 2017–2021, to investigate potential local wintering by bats, especially northern long-eared bats, which have recently been discovered wintering in the Coastal Plain of North Carolina. Acoustic results identified the presence of ten bat species by echolocation calls: big brown bat (Eptesicus fuscus), eastern red bat (Lasiurus borealis), hoary bat (Lasiurus cinereus), silver-haired bat (Lasionycteris noctivagans), little brown bat, northern long-eared bat, Indiana bat, evening bat (Nycticeius humeralis), tricolored bat, and Mexican free-tailed bat (Tadarida brasiliensis). Capture surveys documented big brown bats, eastern red bats, silver-haired bats, and evening bats. To examine habitat associations of bat species, I used generalized linear mixed models of a selection of variable candidates: habitat type, distance to water, minimum nightly temperature, and nightly precipitation to predict summer activity. Activity of big brown, eastern red, hoary, and Mexican free-tailed bats was highest in open habitats. Myotis spp. were most associated with mixed forest habitats. Tricolored bat activity was highest and evening bat activity was lowest in riparian and wetland habitats. To examine seasonality in bat species occurrence, I modeled acoustic activity in passes/night by Julian date using generalized additive models. Activity of big brown, eastern red, little brown, and tricolored bats was highest during summer. Activity of northern long-eared and Indiana bats was very low overall but was also highest in the summer. Tree bat species hoary, silver-haired, and Mexican free-tailed bat activity was highest in the spring and fall. Dormant season results suggest some winter occurrences for most bat species. Visual validation of echolocation calls revealed misidentifications were problematic for Myotis spp. little brown bat, northern long-eared bat, and Indiana bat, but diagnostic calls of all three species were recorded. Acoustic passes identified as northern long-eared bats suggest some individuals may be wintering nearby, but winter activity was very low and not indicative of large overwintering populations. An internal NPS version of this document that includes an appendix with capture survey site coordinates is available and may be requested as needed.

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Kalen, Nicholas. Bats of Petersburg National Battlefield following white-nose syndrome. National Park Service, May 2023. http://dx.doi.org/10.36967/2299217.

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I conducted bat surveys at Petersburg National Battlefield Park (PETE) to assess the status of bat communities following potential impacts of the disease white-nose syndrome. This disease, caused by the fungus Pseudogymnoascus destructans, has severely reduced populations of several bat species in the eastern United States, threatening some with regional extirpation. Most affected species include the little brown bat (Myotis lucifugus), the federally-endangered northern long-eared bat (Myotis septentrionalis) and Indiana bat (Myotis sodalis) (USFWS 2007, USFWS 2022a), as well as the tricolored bat (Perimyotis subflavus), which has been proposed for endangered status (USFWS 2022b). I sampled sites with acoustic bat detectors from the summer of 2016 through fall 2021 and conducted capture surveys using mist nets from 2016-2019 to characterize seasonal occurrence of bat species with a focus on documenting WNS-imperiled species. Surveys also sought to document potential over-wintering of bats at PETE, especially northern long-eared bats, which have recently been discovered wintering in the Coastal Plain of North Carolina. Acoustic results identified the presence of nine bat species by echolocation calls: big brown bat (Eptesicus fuscus), eastern red bat (Lasiurus borealis), hoary bat (Lasiurus cinereus), silver-haired bat (Lasionycteris noctivagans), little brown bat, Indiana bat, evening bat (Nycticeius humeralis), tricolored bat, and Mexican free-tailed bat (Tadarida brasiliensis). Northern long-eared bats were identified acoustically by software, but identifications were invalidated by visual review. Acoustic misidentifications also occurred for little brown and Indiana bats, but diagnostic calls were confirmed. Capture surveys documented big brown bats, eastern red bats, evening bats, and a single little brown bat. To examine habitat associations of bat species, I used generalized linear mixed models of a selection of variable candidates: habitat type, distance to water, minimum nightly temperature, and nightly precipitation to predict summer activity. Activity of big brown, hoary, silver-haired, and Mexican free-tailed bats was highest in open habitats. Little brown and eastern red bats were most associated with mixed forest habitats. Evening bat activity was highest in deciduous forests. Habitat type was not a significant predictor of activity for Indiana and tricolored bat activity. To examine seasonality in bat species occurrence, I modeled acoustic activity in passes/night by Julian date using generalized additive models. Activity of big brown, eastern red, little brown, tricolored, and evening bats was highest during summer. Activity identified as Indiana bats was very low overall but was also highest in the summer. Activity of tree bat species hoary, silver-haired, and Mexican free-tailed bat was highest during the dormant season and peak activity appeared associated with migration. Dormant season results suggest some winter activity for most bat species identified as present in the park.

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Roschelle, Jeremy, Britte Haugan Cheng, Nicola Hodkowski, Julie Neisler, and Lina Haldar. Evaluation of an Online Tutoring Program in Elementary Mathematics. Digital Promise, April 2020. http://dx.doi.org/10.51388/20.500.12265/94.

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Many students struggle with mathematics in late elementary school, particularly on the topic of fractions. In a best evidence syntheses of research on increasing achievement in elementary school mathematics, Pelligrini et al. (2018) highlighted tutoring as a way to help students. Online tutoring is attractive because costs may be lower and logistics easier than with face-to-face tutoring. Cignition developed an approach that combines online 1:1 tutoring with a fractions game, called FogStone Isle. The game provides students with additional learning opportunities and provides tutors with information that they can use to plan tutoring sessions. A randomized controlled trial investigated the research question: Do students who participate in online tutoring and a related mathematical game learn more about fractions than students who only have access to the game? Participants were 144 students from four schools, all serving low-income students with low prior mathematics achievement. In the Treatment condition, students received 20-25 minute tutoring sessions twice per week for an average of 18 sessions and also played the FogStone Isle game. In the Control condition, students had access to the game, but did not play it often. Control students did not receive tutoring. Students were randomly assigned to condition after being matched on pre-test scores. The same diagnostic assessment was used as a pre-test and as a post-test. The planned analysis looked for differences in gain scores ( post-test minus pre-test scores) between conditions. We conducted a t-test on the aggregate gain scores, comparing conditions; the results were statistically significant (t = 4.0545, df = 132.66, p-value < .001). To determine an effect size, we treated each site as a study in a meta-analysis. Using gain scores, the effect size was g=+.66. A more sophisticated treatment of the pooled standard deviation resulted in a corrected effect size of g=.46 with a 95% confidence interval of [+.23,+.70]. Students who received online tutoring and played the related Fog Stone Isle game learned more; our research found the approach to be efficacious. The Pelligrini et al. (2018) meta-analysis of elementary math tutoring programs found g = .26 and was based largely on face-to-face tutoring studies. Thus, this study compares favorably to prior research on face-to-face mathematics tutoring with elementary students. Limitations are discussed; in particular, this is an initial study of an intervention under development. Effects could increase or decrease as development continues and the program scales. Although this study was planned long before the current pandemic, results are particularly timely now that many students are at home under shelter-in-place orders due to COVID-19. The approach taken here is feasible for students at home, with tutors supporting them from a distance. It is also feasible in many other situations where equity could be addressed directly by supporting students via online tutors.

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Kalen, Nicholas. Bats of Colonial National Historical Park following white-nose syndrome. National Park Service, May 2023. http://dx.doi.org/10.36967/2299226.

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I conducted bat surveys at Colonial National Historical Park to assess the status of bat communities following potential impacts of white-nose syndrome (WNS) since its arrival in Virginia in 2009. This disease, caused by the fungus Pseudogymnoascus destructans, has severely reduced populations of several bat species in the eastern United States, threatening some with regional extirpation. In the East, most-affected species include the little brown bat (Myotis lucifugus), the federally-endangered northern long-eared bat (Myotis septentrionalis) and Indiana bat (Myotis sodalis) (USFWS 2007, USFWS 2022a), as well as the tricolored bat (Perimyotis subflavus), which has been proposed for endangered status (USFWS 2022b). I sampled sites in Yorktown and Jamestown Island with acoustic bat detectors from the spring of 2019 through the spring of 2021 and conducted capture surveys using mist nets in 2019 and 2021 to characterize seasonal occurrence of bat species with a focus on documenting WNS-imperiled species. Surveys also sought to document potential over-wintering of bats at COLO, especially northern long-eared bats, which occur year-round in the Coastal Plain of North Carolina. Acoustic results identified the presence of eleven bat species by echolocation calls: big brown bat (Eptesicus fuscus), eastern red bat (Lasiurus borealis), hoary bat (Lasiurus cinereus), silver-haired bat (Lasionycteris noctivagans), southeastern bat (Myotis austroriparius), little brown bat, northern long-eared bat, Indiana bat, evening bat (Nycticeius humeralis), tricolored bat, and Mexican free-tailed bat (Tadarida brasiliensis). Acoustic results included diagnostic echolocation calls of little brown, northern long-eared, and Indiana bats, however, presence should be interpreted with caution due to similarities of call structures among Myotis spp. bats. Capture surveys documented seven species: big brown, eastern red, hoary, silver-haired, southeastern, evening, and tricolored bats. To examine habitat associations of bat species, I used generalized linear mixed models of a selection of variable candidates: habitat type, distance to water, minimum nightly temperature, and nightly precipitation to predict summer activity by significant predictors. Activity of hoary, silver-haired, little brown, evening, tricolored, and Mexican free-tailed bats was highest in open habitats. Big brown bat and Indiana bat identifications were most associated with forest habitats. Eastern red bat activity was high in both forest and open sites. Southeastern bat activity was highest in wetland sites and was largely confined to these habitats. Northern long-eared bat activity was not significantly different among habitat types. To examine seasonality in bat species occurrence, I modeled acoustic activity in passes/night by Julian date using generalized additive models. Activity of big brown, eastern red, hoary, little brown, northern long-eared, tricolored, evening, and Mexican free-tailed bats was highest during summer. Silver-haired bat activity was highest in March indicative of seasonal migration. Hoary and Mexican free-tailed bat also exhibited high activity on several nights in the spring suggestive of migratory movement. Dormant season results suggest some winter occurrence for all identified bat species except Indiana bats. Very few characteristic calls of northern long-eared bats were observed from December through February, suggesting they winter locally in far lower abundances than in the Coastal Plain of North Carolina to the south.

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