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Academic literature on the topic 'Connectivity Functions'

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Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Connectivity Functions"

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Rosen. "Dense Extendable Connectivity Functions." Real Analysis Exchange 18, no. 1 (1992): 42. http://dx.doi.org/10.2307/44133042.

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Gibson and Gibson. "CONCERNING EXTENDABLE CONNECTIVITY FUNCTIONS." Real Analysis Exchange 11, no. 1 (1985): 56. http://dx.doi.org/10.2307/44151727.

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Oxley, James, and Geoff Whittle. "Connectivity of submodular functions." Discrete Mathematics 105, no. 1-3 (August 1992): 173–84. http://dx.doi.org/10.1016/0012-365x(92)90140-b.

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Jowett, Susan, Songbao Mo, and Geoff Whittle. "Connectivity functions and polymatroids." Advances in Applied Mathematics 81 (October 2016): 1–12. http://dx.doi.org/10.1016/j.aam.2016.06.004.

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Gibson, Richard G., and Fred Roush. "Connectivity functions defined on $I^n$." Colloquium Mathematicum 55, no. 1 (1987): 41–44. http://dx.doi.org/10.4064/cm-55-1-41-44.

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Gibson and Roush. "THE UNIFORM LIMIT OF CONNECTIVITY FUNCTIONS." Real Analysis Exchange 11, no. 1 (1985): 254. http://dx.doi.org/10.2307/44151744.

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Gibson and Roush. "CONNECTIVITY FUNCTIONS WITH A PERFECT ROAD." Real Analysis Exchange 11, no. 1 (1985): 260. http://dx.doi.org/10.2307/44151745.

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Gibson. "CONCERNING EXTENDABLE CONNECTIVITY FUNCTIONS, A CONTINUATION." Real Analysis Exchange 12, no. 1 (1986): 85. http://dx.doi.org/10.2307/44151773.

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Gibson and Roush. "A CHARACTERIZATION OF EXTENDABLE CONNECTIVITY FUNCTIONS." Real Analysis Exchange 13, no. 1 (1987): 214. http://dx.doi.org/10.2307/44151872.

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Garrett. "CONNECTED AND CONNECTIVITY FUNCTIONS ON DENDRITES." Real Analysis Exchange 14, no. 2 (1988): 440. http://dx.doi.org/10.2307/44151959.

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Dissertations / Theses on the topic "Connectivity Functions"

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Williams, Kathleen Anne. "Resting State Connectivity in the Rat Brain." Thesis, Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14059.

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Functional MRI is a method of imaging changes in blood oxygenation that accompany neural activity in the brain. A specific area within fMRI studies investigates what the brain is doing when it is not being stimulated. It is postulated that there are distinctly separate regions of the brain that are connected based upon functional relations and that these connected regions synchronously communicate even during rest. Resting state connectivity has become a tool to investigate neurological disorders in humans without specific knowledge of the mechanisms that correlate neural activity with brain metabolism and blood flow. This work attempts to characterize resting state connectivity in the rat brain to establish a model that will help elucidate the relationship between functional connectivity, as measured with fMRI, and brain function. Four analysis techniques, power spectrum estimation, cross correlation analysis, principle component analysis, and independent component analysis, are employed to examine data acquired during a non-stimulation, single-slice, gradient echo EPI sequence in search of functionally connected, spatially distant regions of the rat brain.
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Taixés, i. Ventosa Jordi. "Connectivity of Julia sets of transcendental meromorphic functions." Doctoral thesis, Universitat de Barcelona, 2011. http://hdl.handle.net/10803/50391.

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Newton's method associated to a complex holomorphic function f is defined by the dynamical system Nf(z) = z – f(z) / f'(z). As a root-finding algorithm, a natural question is to understand the dynamics of Nf about its fixed points, as they correspond to the roots of the function f. In other words, we would like to understand the basins of attraction of Nf, i.e., the sets of points that converge to a root of f under the iteration of Nf. Basins of attraction are actually just one type of stable component or component of the Fatou set, defined as the set of points for which the family of iterates is defined and normal locally. The Julia set or set of chaos is its complement (taken on the Riemann sphere). The study of the topology of these two sets is key in Holomorphic Dynamics. In 1990, Mitsuhiro Shishikura proved that, for any non-constant polynomial P, the Julia set of NP is connected. In fact, he obtained this result as a consequence of a much more general theorem for rational functions: If the Julia set of a rational function R is disconnected, then R has at least two weakly repelling fixed points. With the final goal of proving the transcendental version of this theorem, in this Thesis we see that: If a transcendental meromorphic function f has either a multiply-connected attractive basin, or a multiply-connected parabolic basin, or a multiply-connected Fatou component with simply-connected image, then f has at least one weakly repelling fixed point. Our proof for this result is mainly based in two techniques: quasiconformal surgery and the study of the existence of virtually repelling fixed points. We conclude the Thesis with an idea of the strategy for the proof of the case of Herman rings, as well as some ideas for the case of Baker domains, which is left as a subject for a future project.
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Pallarés, Picazo Vicente. "Individual traits versus invariances of cognitive functions: a model-based study of brain connectivity." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/666806.

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Es conocido en la literatura de neuroimagen que las redes cerebrales funcionales reflejan rasgos personales. Estas características individuales, podrían interferir al caracterizar la cognición entendida como la manera en que se coordinan las redes para realizar una tarea, como mantener la atención, recordar, o procesar información visual. Cómo estos aspectos individuales coexisten con mecanismos generales es, por tanto, una pregunta clave en investigación sobre conectividad cerebral. Este trabajo estudia la relación entre marcadores de conectividad específicos tanto de sujetos, como de tareas. Se centra en dos escalas temporales distintas: la variabilidad entre sesiones, y las fluctuaciones rápidas producidas durante una sesión de adquisición. Utilizamos técnicas de machine learning para separar cuantitativamente las contribuciones de información del sujeto y del estado cognitivo a la conectividad. La metodología presentada nos permite extraer aquellas redes representativas de ambas dimensiones, así como profundizar en su evolución, sugiriendo las escalas temporales relevantes en la cognición.
És conegut en la literatura de neuroimatge que les xarxes cerebrals funcionals reflecteixen trets personals. Aquestes característiques individuals podrien interferir en caracteritzar la cognició entesa com la manera en què les xarxes es coordinen per realitzar una tasca, com mantenir l'atenció, recordar o processar informació visual. Cóm aquests aspectes individuals coexisteixen amb mecanismes generals, és, per tant, una pregunta clau en recerca sobre connectivitat cerebral. Aquest treball estudia la relació entre marcadors de connectivitat específics tant de subjectes, com de tasques. Se centra en dues escales temporals: la variabilitat entre sessions, i les fluctuacions ràpides produïdes durant una sessió d'adquisició. Utilitzem tècniques de machine learning per separar quantitativament les contribucions d'informació del subjecte i de l'estat cognitiu a la connectivitat. La metodologia presentada ens permet extreure aquelles xarxes representatives d'ambdues dimensions, així com aprofundir en la seva evolució, suggerint les escales temporals rellevants en la cognició.
There is consistent evidence in the neuroimaging literature that functional brain networks reflect personal traits. Individual specificity may interfere with the characterization of cognition, in terms of coordination of brain networks to perform a task, such as sustained attention, memory retrieval or visual information processing. How individual traits coexist with invariant mechanisms is, therefore, a key question in brain connectivity research. This work aims to examine the relationship between subject- and task-specific connectivity signatures. It focuses on two different timescales: day-to-day variability and faster fluctuations exhibited within a scanning session. We adopt a machine learning approach to quantitatively disentangle the contribution of subject information and cognitive state to the connectivity patterns. The proposed methodology allows us to extract the specific brain networks that support each of the two dimensions, as well as to delve into their changes over time, suggesting the relevant timescales for cognition.
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Liu, Xiaojin [Verfasser]. "Multi-modal Parcellation of the Human Striatum: Functions, Clinical Relevance and its Specific Connectivity / Xiaojin Liu." Düsseldorf : Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf, 2021. http://d-nb.info/1239893752/34.

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Adar, Maia. "Step-Selection Functions for Modeling Animal Movement -- Case Study: African Buffalo." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/cmc_theses/1938.

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Understanding what factors influence wildlife movement allows landscape planners to make informed decisions that benefit both animals and humans. New quantitative methods, such as step-selection functions, provide valuable objective analyses of wildlife connectivity. This paper provides a framework for creating a step-selection function and demonstrates its use in a case study. The first section provides a general introduction about wildlife connectivity research. The second section explains the math behind the step-selection function using a simple example. The last section gives the results of a step-selection model for African buffalo in the Kavango Zambezi Transfrontier Conservation Area. Buffalo were found to avoid fences, rivers, and anthropogenic land use; however, there was great variation in individual buffalo's preferences.
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Fuller, Joanne Elizabeth. "Analysis of affine equivalent boolean functions for cryptography." Thesis, Queensland University of Technology, 2003. https://eprints.qut.edu.au/15828/1/Joanne_Fuller_Thesis.pdf.

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Boolean functions are an important area of study for cryptography. These functions, consisting merely of one's and zero's, are the heart of numerous cryptographic systems and their ability to provide secure communication. Boolean functions have application in a variety of such systems, including block ciphers, stream ciphers and hash functions. The continued study of Boolean functions for cryptography is therefore fundamental to the provision of secure communication in the future. This thesis presents an investigation into the analysis of Boolean functions and in particular, analysis of affine transformations with respect to both the design and application of Boolean functions for cryptography. Past research has often been limited by the difficulties arising from the magnitude of the search space. The research presented in this thesis will be shown to provide an important step towards overcoming such restrictions and hence forms the basis for a new analysis methodology. The new perspective allows a reduced view of the Boolean space in which all Boolean functions are grouped into connected equivalence classes so that only one function from each class need be established. This approach is a significant development in Boolean function research with many applications, including class distinguishing, class structures, self mapping analysis and finite field based s-box analysis. The thesis will begin with a brief overview of Boolean function theory; including an introduction to the main theme of the research, namely the affine transformation. This will be followed by the presentation of a fundamental new theorem describing the connectivity that exists between equivalence classes. The theorem of connectivity will form the foundation for the remainder of the research presented in this thesis. A discussion of efficient algorithms for the manipulation of Boolean functions will then be presented. The ability of Boolean function research to achieve new levels of analysis and understanding is centered on the availability of computer based programs that can perform various manipulations. The development and optimisation of efficient algorithms specifically for execution on a computer will be shown to have a considerable advantage compared to those constructed using a more traditional approach to algorithm optimisation. The theorem of connectivety will be shown to be fundamental in the provision many avenues of new analysis and application. These applications include the first non-exhaustive test for determining equivalent Boolean functions, a visual representation of the connected equivalence class structure to aid in the understanding of the Boolean space and a self mapping constant that enables enumeration of the functions in each equivalence class. A detailed survey of the classes with six inputs is also presented, providing valuable insight into their range and structure. This theme is then continued in the application Boolean function construction. Two important new methodologies are presented; the first to yield bent functions and the second to yield the best currently known balanced functions of eight inputs with respect to nonlinearity. The implementation of these constructions is extremely efficient. The first construction yields bent functions of a variety of algebraic order and inputs sizes. The second construction provides better results than previously proposed heuristic techniques. Each construction is then analysed with respect to its ability to produce functions from a variety of equivalence classes. Finally, in a further application of affine equivalence analysis, the impact to both s-box design and construction will be considered. The effect of linear redundancy in finite field based s-boxes will be examined and in particular it will be shown that the AES s-box possesses complete linear redundancy. The effect of such analysis will be discussed and an alternative construction to s-box design that ensures removal of all linear redundancy will be presented in addition to the best known example of such an s-box.
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7

Fuller, Joanne Elizabeth. "Analysis of Affine Equivalent Boolean Functions for Cryptography." Queensland University of Technology, 2003. http://eprints.qut.edu.au/15828/.

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Boolean functions are an important area of study for cryptography. These functions, consisting merely of one's and zero's, are the heart of numerous cryptographic systems and their ability to provide secure communication. Boolean functions have application in a variety of such systems, including block ciphers, stream ciphers and hash functions. The continued study of Boolean functions for cryptography is therefore fundamental to the provision of secure communication in the future. This thesis presents an investigation into the analysis of Boolean functions and in particular, analysis of affine transformations with respect to both the design and application of Boolean functions for cryptography. Past research has often been limited by the difficulties arising from the magnitude of the search space. The research presented in this thesis will be shown to provide an important step towards overcoming such restrictions and hence forms the basis for a new analysis methodology. The new perspective allows a reduced view of the Boolean space in which all Boolean functions are grouped into connected equivalence classes so that only one function from each class need be established. This approach is a significant development in Boolean function research with many applications, including class distinguishing, class structures, self mapping analysis and finite field based s-box analysis. The thesis will begin with a brief overview of Boolean function theory; including an introduction to the main theme of the research, namely the affine transformation. This will be followed by the presentation of a fundamental new theorem describing the connectivity that exists between equivalence classes. The theorem of connectivity will form the foundation for the remainder of the research presented in this thesis. A discussion of efficient algorithms for the manipulation of Boolean functions will then be presented. The ability of Boolean function research to achieve new levels of analysis and understanding is centered on the availability of computer based programs that can perform various manipulations. The development and optimisation of efficient algorithms specifically for execution on a computer will be shown to have a considerable advantage compared to those constructed using a more traditional approach to algorithm optimisation. The theorem of connectivety will be shown to be fundamental in the provision many avenues of new analysis and application. These applications include the first non-exhaustive test for determining equivalent Boolean functions, a visual representation of the connected equivalence class structure to aid in the understanding of the Boolean space and a self mapping constant that enables enumeration of the functions in each equivalence class. A detailed survey of the classes with six inputs is also presented, providing valuable insight into their range and structure. This theme is then continued in the application Boolean function construction. Two important new methodologies are presented; the first to yield bent functions and the second to yield the best currently known balanced functions of eight inputs with respect to nonlinearity. The implementation of these constructions is extremely efficient. The first construction yields bent functions of a variety of algebraic order and inputs sizes. The second construction provides better results than previously proposed heuristic techniques. Each construction is then analysed with respect to its ability to produce functions from a variety of equivalence classes. Finally, in a further application of affine equivalence analysis, the impact to both s-box design and construction will be considered. The effect of linear redundancy in finite field based s-boxes will be examined and in particular it will be shown that the AES s-box possesses complete linear redundancy. The effect of such analysis will be discussed and an alternative construction to s-box design that ensures removal of all linear redundancy will be presented in addition to the best known example of such an s-box.
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8

Shin, Jaemin. "Characterization and compensation of physiological fluctuations in functional magnetic resonance imaging." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44862.

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Functional magnetic resonance imaging (fMRI) based on blood oxygenation level dependent (BOLD) contrast has become a widespread technique in brain research. The central challenge in fMRI is the detection of relatively small activity-induced signal changes in the presence of various other signal fluctuations. Physiological fluctuations due to respiration and cardiac pulsation are dominant sources of confounding variability in BOLD fMRI. This dissertation seeks to characterize and compensate for non-neural physiological fluctuations in fMRI. First, the dissertation presents an improved and generalized technique for correcting T1 effect in cardiac-gated fMRI data incorporating flip angle estimated from fMRI dataset itself. Using an unscented Kalman filter, spatial maps of flip angle and T1 relaxation are estimated simultaneously from the cardiac-gated time series. Accounting for spatial variation in flip angle, the new method is able to remove the T1 effects robustly, in the presence of significant B1 inhomogeneity. The technique is demonstrated with simulations and experimental data. Secondly, this dissertation describes a generalized retrospective technique to precisely model and remove physiological fluctuations from fMRI signal: Physiological Impulse Response Function Estimation and Correction (PIRFECT). It is found that the modeled long-term physiological fluctuations explained significant variance in grey matter, even after removing short-term physiological effects. Finally, application of the proposed technique is observed to substantially increase the intra-session reproducibility of resting-state networks.
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Rahal, Line. "Imagerie fonctionnelle ultrasonore du cerveau pour l'étude, le suivi et le traitement de la douleur aiguë et chronique." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLET041.

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Ces travaux de thèse visaient à démontrer l’intérêt de l’imagerie fonctionnelle ultrasonore pour la définition et le suivi de traitements thérapeutiques des manifestations douloureuses aiguës et chroniques. Dans le cadre d’un projet commun mêlant physique des ondes, imagerie, neurosciences et douleur, nous avons montré que cette jeune technologie d’imagerie pouvait être appliquée à l’imagerie de la douleur chez le petit animal anesthésié, à différents niveaux du système nerveux.Dans le but d’avoir une anesthésie adaptée, stable, reproductible d’un animal à l’autre, et contenant le moins d’agents modulateurs de la douleur possible, nous avons comparé six protocoles d’anesthésie différents. Cette étude a conclu que l’utilisation d’un mélange de kétamine et de médétomidine était le meilleur compromis pour nos futures expérimentations en douleur.La première étude sur les processus de la douleur s’est concentrée sur le test à la formaline, un modèle bien caractérisé de douleur inflammatoire court terme (1h). En effet, notre souhait était de débuter sur un modèle de douleur aiguë le plus court possible pouvant être réalisé chez l’animal anesthésié. Sur ce modèle, nous n’avons observé aucun changement significatif de connectivité fonctionnelle dans le cerveau des rats injectés. Nous avons alors choisi de nous tourner vers des modèles de douleur inflammatoire plus persistants.La seconde étude de cette thèse a porté sur l’étude des altérations de connectivité fonctionnelle et d’états cérébraux dans deux modèles de douleur inflammatoire : un modèle à court terme, induit par injection unilatérale d’adjuvant de Freund, et un modèle à long terme, qui est la polyarthrite induite par adjuvant (quatre semaines d’inflammation bilatérale). Tandis que nous n’avons pas obtenu de résultats significatifs d’altérations fonctionnelles dans le modèle court terme, le modèle long terme nous a apporté de nombreuses informations sur les altérations du système nerveux central pendant le processus de chronicisation.Enfin, la dernière étude a porté sur l’imagerie fonctionnelle ultrasonore des ganglions trigéminaux, structures du système nerveux périphérique, à la fois petites et profondes. Nous avons cherché à caractériser la réponse vasculaire de ces ganglions suite à des stimulations nociceptives mécaniques et chimiques de la cornée chez le rat anesthésié. Cette étude nous a permis de confirmer les observations obtenues par immunohistochimie du proto-oncogène c-fos et de valider l’imagerie fonctionnelle ultrasonore comme modalité pour l’imagerie de l’activation des ganglions trigéminaux chez le rat anesthésié, pour l’étude de la douleur trigéminale
Those thesis works aimed at demonstrating the value of functional ultrasound imaging for the definition and the tracking of acute and chronic pain therapeutic treatments. As part of a common project intertwining wave physics, imaging, neurosciences and pain, we demonstrated that this young imaging technology can be applied to pain imaging on the anesthetized small animal, at different levels of the nervous system.With the aim of obtaining an adapted anaesthesia, stable, reproducible from one animal to another, and containing as less pain modulating agents as possible, we compared six different anaesthetics protocols. This study was concluded by the use of the ketamine and medetomidine mixture as the best compromise for our future experiments in pain.The first study on pain processes has focused on the formaline test, a well characterized model of short term inflammatory pain (1h). Indeed, our wish was to start with an acute pain model as short as possible which may be performed on the anesthetized animal. With this model, we didn’t observe any significant change of functional connectivity in the brain of the injected rats. We then chose to turn to more ongoing models of inflammatory pain.The second study of this thesis dealt with the study of the functional connectivity and brain states alterations in two models of inflammatory pain: a short term model, induced by unilateral injection of Freund’s adjuvant, and a long term model, which is adjuvant induced polyarthritis (four weeks of bilateral inflammation). While we didn’t obtain significant results of functional alterations in the short term model, the long term model gave us ample information on the central nervous system alterations during the chronification process.Finally, the last study concerns the ultrasound functional imaging of the trigeminal ganglions, peripheral nervous system structures, both small and deeply located. We tried to characterize the vascular response of those ganglions following mechanical and chemical nociceptive stimulations of the cornea on the anesthetized rat. This study allowed us to confirm the observations obtained by immunohistochemistry of the proto-oncogene c-fos and to validate the functional ultrasound imaging as a modality for the imaging of the trigeminal ganglions in the anesthetized rat, for the study of trigeminal pain
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Senouci, Mustapha. "De l'usage de la théorie des fonctions de croyance dans le déploiement et le contrôle de réseaux de capteurs sans fil." Thesis, Paris Est, 2014. http://www.theses.fr/2014PEST1045.

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Cette thèse porte sur les problèmes de déploiement des Réseaux de Capteurs sans Fil (RCsF). Elle suit trois directions principales : (1) le déploiement aléatoire, (2) le déploiement déterministe, et (3) l'auto-déploiement. En premier lieu, nous présentons une étude sur le placement aléatoire des capteurs dans les RCsF et nous élaborons une stratégie pratique de déploiement aléatoire. Ensuite, dans le cadre d'un déploiement déterministe, nous analysons le problème de gestion des imperfections liées à la collecte des données par les capteurs. Nous discutons les modèles de couverture et les algorithmes de placement existants et nous exploitons la théorie de l'évidence pour concevoir des stratégies de déploiement plus efficaces. Enfin, nous explorons les stratégies d'auto-déploiement existantes et nous élaborons un protocole en deux phases, léger et complet, pour assurer une couverture optimisée de la zone contrôlée en utilisant un RCsF mobile. Les résultats obtenus montrent l'efficacité des approches proposée qui ont été étudiées à la fois sur des données synthétiques que sur un test expérimental
This dissertation is an in-depth investigation of the Wireless Sensor Networks (WSNs) deployment problems that follows three general directions: (1) random deployment, (2) deterministic deployment, and (3) self-deployment. First, we present a survey and taxonomy of random node placement in WSNs and we devise a practical random deployment strategy. Second, we analyze the uncertainty-aware deterministic WSNs deployment problem where sensors may not always provide reliable information. We discuss sensor coverage models and placement algorithms found in the literature and we investigate the evidence theory to design better deployment strategies. We devise evidence-based sensor coverage models and we propose several polynomial-time uncertainty-aware deployment algorithms. Third, we explore the published self-deployment strategies and we devise a lightweight and comprehensive two-phase protocol, for ensuring area coverage employing a mobile WSN. Experimental results based on synthetic data sets, data traces collected in a real deployment, and an experimental test, show that the proposed approaches outperform the state-of-the-art deployment strategies
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Books on the topic "Connectivity Functions"

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International Business Machines Corporation. International Technical Support Organization, ed. Communications server for z/OS V1R9 TCP/IP implementation: Base functions, connectivity, and routing. Poughkeepsie, N.Y: IBM Corporation, International Technical Support Organization, 2008.

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International Business Machines Corporation. International Technical Support Organization, ed. IBM Z/Os V1r11 Communications Server Tcp/Ip implementation: Basic functions, connectivity, and routing. [Poughkeepsie, NY]: IBM, International Technical Support Organization, 2010.

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Pastore, Vito Paolo. Estimating Functional Connectivity and Topology in Large-Scale Neuronal Assemblies. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59042-0.

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Borzyh, Stanislav. Pananthropea. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1218149.

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The monograph is dedicated to the supercontinent Pananthropea, which was created by the efforts of people, and therefore is named in his honor. It consists of all purely geographical continents, as well as all land areas, representing a single organism that functions exactly as a whole, but at the same time divided by nature itself. The relevance of this approach is shown as follows, as described in the three chapters of the text. First, it demonstrates the physical connectivity of all regions of our planet with each other, which is expressed in a change in the logic of the topology, today planted and controlled by man. Secondly, the presence of this huge and unbroken array is evidenced by the biological component of the world economy, which we have also transformed to suit our needs, thereby redrawing the natural course of affairs in this area and turning it into a global one. Third, the same is true of the cultural domain of our life, which at some point became universal, which again was achieved for the sake of our goals and interests, as a result of which we are all now members of a single interconnected association. It is of interest to both specialists and a wide audience and will be useful for us to understand both ourselves and the reality that we have constructed.
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Ramirez, Dennis. Default Mode Network Dmn: Structural Connectivity, Impairments and Role in Daily Activities (Neuroscience Research Progress). Nova Science Publishers, Inc., 2015.

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Ribary, Urs, Alex L. MacKay, Alexander Rauscher, Christine M. Tipper, Deborah E. Giaschi, Todd S. Woodward, Vesna Sossi, et al. Emerging neuroimaging technologies: Toward future personalized diagnostics, prognosis, targeted intervention, and ethical challenges. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198786832.003.0002.

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The human brain is a fine-tuned and balanced structural, functional, and dynamic electrochemical system. Any alterations, from slight slowing of partial brain networks to severe disruptions in structural, functional, and dynamic connectivity across local and large-scale brain networks will result in slight to severe changes in cognitive ability, awareness, and consciousness. Using future noninvasive technologies, the common goal is to relate typical or atypical resting-state, sensory-motor functions, cognition, and consciousness to underlying typical or altered quantified brain structure, biochemistry, pathways, functional brain networks, and connectivity. This will pose enormous ethical challenges of quantitative diagnostic and prognostic strategies in future neurologic and psychiatric clinical practice.
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Posner, Michael I., Mary K. Rothbart, and M. Rosario Rueda. Developing Attention and Self-Regulation in Childhood. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.023.

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This chapter views attention as an organ system consisting of three brain networks with their own unique anatomy, connectivity, neuromodulators, and functions. These networks underlie the functions of attention including: obtaining and maintaining the alert state, orienting to sensory events, and voluntary control of responses. It traces the development of these attentional networks from infancy to adulthood. All three networks are present in infancy, but their functions and connectivity change in development. The change of control from the orienting to the executive network that takes place between infancy and childhood underlies the increasing role of voluntary control of emotions and thoughts. It examines how genes and environment influence this development and suggests avenues for further understanding of how attention develops.
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Stamatakis, Emmanuel A., Eleni Orfanidou, and Andrew C. Papanicolaou. Functional Magnetic Resonance Imaging. Edited by Andrew C. Papanicolaou. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.013.7.

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Functional magnetic resonance imaging (fMRI) is the most frequently used functional neuroimaging method and the one that accounts for most of the neuroimaging literature. It measures the blood oxygen level-dependent (BOLD) signal in different parts of the brain during rest and during task-induced activation of functional networks mediating basic and higher functions. A basic understanding of the various instruments and techniques of recording the hemodynamic responses of different brain regions and the manner in which we establish activation and connectivity patterns out of these responses is necessary for an appreciation of the contemporary functional neuroimaging literature. To facilitate such an understanding is the purpose of this chapter.
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Soriano-Mas, Carles, and Ben J. Harrison. Brain Functional Connectivity in OCD. Edited by Christopher Pittenger. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228163.003.0024.

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This chapter provides an overview of studies assessing alterations in brain functional connectivity in obsessive-compulsive disorder (OCD) as assessed by functional magnetic resonance imaging (fMRI). Although most of the reviewed studies relate to the analysis of resting-state fMRI data, the chapter also reviews studies that have combined resting-state with structural or task-based approaches, as well as task-based studies in which the analysis of functional connectivity was reported. The main conclusions to be drawn from this review are that patients with OCD consistently demonstrate altered patterns of brain functional connectivity in large-scale “frontostriatal” and “default mode” networks, and that the heterogeneity of OCD symptoms is likely to partly arise via distinct modulatory influences on these networks by broader disturbances of affective, motivational, and regulatory systems. The variable nature of some findings across studies as well as the influence of medications on functional connectivity measures is also discussed.
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Papanicolaou, Andrew C., ed. The Oxford Handbook of Functional Brain Imaging in Neuropsychology and Cognitive Neurosciences. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199764228.001.0001.

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A large part of the contemporary literature involves functional neuroimaging. Yet few readers are sufficiently familiar with the various imaging methods, their capabilities and limitations, to appraise it correctly. To fulfill that need is the purpose of this Handbook, which consists of an accessible description of the methods and their clinical and research applications. The Handbook begins with an overview of basic concepts of functional brain imaging, magnetoencephalography and the use of magnetic source imaging (MSI), positron emission tomography (PET), diffusion tensor imaging (DTI), and transcranial magnetic stimulation (TMS). The authors then discuss the various research applications of imaging, such as white matter connectivity; the function of the default mode network; the possibility and the utility of imaging of consciousness; the search for mnemonic traces of concepts the mechanisms of the encoding, consolidation, and retrieval of memories; executive functions and their neuroanatomical mechanisms; voluntary actions, human will and decision-making; motor cognition; language and the mechanisms of affective states and pain. The final chapter discusses the uses of functional neuroimaging in the presurgical mapping of the brain.
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Book chapters on the topic "Connectivity Functions"

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Guise, Richard, and James Webb. "Activity, Connectivity,-Uses and Functions." In Characterising Neighbourhoods, 143–64. New York, NY : Routledge, 2018.: Routledge, 2017. http://dx.doi.org/10.4324/9781315744063-2.7.

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Stephan, Klaas E., Baojuan Li, Sandra Iglesias, and Karl J. Friston. "Inferring Effective Connectivity from fMRI Data." In fMRI: From Nuclear Spins to Brain Functions, 365–86. Boston, MA: Springer US, 2015. http://dx.doi.org/10.1007/978-1-4899-7591-1_13.

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Barbakh, Wesam Ashour, Ying Wu, and Colin Fyfe. "Connectivity Graphs and Clustering with Similarity Functions." In Non-Standard Parameter Adaptation for Exploratory Data Analysis, 109–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04005-4_7.

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Consagra, William, Martin Cole, and Zhengwu Zhang. "Analyzing Brain Structural Connectivity as Continuous Random Functions." In Lecture Notes in Computer Science, 276–85. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-16452-1_27.

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Jaffré, Pierre, Romain Insler, Vasilis Freiderikos, Sylvain Meyer, and Martial Bellec. "New architecture for an Ultra Broadband Home Area Network with spread connectivity and autonomic functions." In Home Networking, 151–62. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-77216-5_12.

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Ward, Tracey, Raphael Bernier, Cora Mukerji, Danielle Perszyk, James C. McPartland, Ellen Johnson, Susan Faja, et al. "Functional Connectivity." In Encyclopedia of Autism Spectrum Disorders, 1363–70. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_218.

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Bestmann, Sven. "Functional Modulation of Primary Motor Cortex During Action Selection." In Cortical Connectivity, 183–205. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-662-45797-9_10.

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Polanía, Rafael, Michael A. Nitsche, and Walter Paulus. "Modulation of Functional Connectivity with Transcranial Direct Current Stimulation." In Cortical Connectivity, 133–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-662-45797-9_7.

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Hampson, Michelle, Xilin Shen, and R. Todd Constable. "Functional Connectivity MR Imaging." In Functional Neuroradiology, 355–71. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-0345-7_21.

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Angstmann, Steffen, and Hartwig Roman Siebner. "Effects of Cortical Stimulation on Cortical Functional Connectivity: Imaging Studies." In Cortical Connectivity, 71–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-662-45797-9_4.

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Conference papers on the topic "Connectivity Functions"

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Pitsik, Elena N., and Nikita Frolov. "Artificial neural network predicts inter-areal functional connectivity." In Computations and Data Analysis: from Molecular Processes to Brain Functions, edited by Dmitry E. Postnov. SPIE, 2021. http://dx.doi.org/10.1117/12.2591376.

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Duneva, Emiliya. "TECHNIQUES FOR IMPROVING BUSINESS COMMUNICATION IN THE FIELD OF TOURISM." In TOURISM AND CONNECTIVITY 2020. University publishing house "Science and Economics", University of Economics - Varna, 2020. http://dx.doi.org/10.36997/tc2020.382.

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With the increasing speed with which decisions are made in the development of tourism, business communications become an essential prerequisite for effective business. For this reason, the improvement of business communications is becoming a topical issue for any organization in the field of tourism, and its solution is urgent.Studies show that hoteliers spend between 70 and 85 percent of their time communicating with colleagues, subordinates, customers, external partners, etc. Managers perform their main functions - planning, coordination, management and control in direct contact; with the help of gestures and looks; by e-mail or telephone.
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Ong, Pio, Beatrice Capelli, Lorenzo Sabattini, and Jorge Cortes. "Network Connectivity Maintenance via Nonsmooth Control Barrier Functions." In 2021 60th IEEE Conference on Decision and Control (CDC). IEEE, 2021. http://dx.doi.org/10.1109/cdc45484.2021.9683512.

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Morris, Clinton B., Amir M. Mirzendehdel, and Morad Behandish. "Topology Optimization With Locally Evaluable Complement Space Connectivity." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-67499.

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Abstract Enforcing connectivity of parts or their complement space during automated design is essential for various manufacturing and functional considerations such as removing powder, wiring internal components, and flowing internal coolant. The global nature of connectivity makes it difficult to incorporate into generative design methods that rely on local decision making, e.g., topology optimization (TO) algorithms whose update rules depend on the sensitivity of objective functions or constraints to locally change the design. Connectivity is commonly corrected for in a post-processing step, which may result in suboptimal designs. We propose a recasting of the connectivity constraint as a locally differentiable violation measure, defined as a “virtual” compliance, modeled after physical (e.g., thermal or structural) compliance. Such measures can be used within TO alongside other objective functions and constraints, using a weighted penalty scheme to navigate tradeoffs. By carefully specifying the boundary conditions of the virtual compliance problem, the designer can enforce connectivity between arbitrary regions of the part’s complement space while satisfying a primary objective function in the TO loop. We demonstrate the effectiveness of our approach using both 2D and 3D examples, show its flexibility to consider multiple virtual domains, and confirm the benefits of considering connectivity in the design loop rather than enforcing it through post-processing.
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Verveyko, Darya V., Andrey Y. Verisokin, Dmitry E. Postnov, and Alexey R. Brazhe. "Good neighbors? Astrocyte connectivity defines repeatable patterns of calcium waves." In Computations and Data Analysis: from Molecular Processes to Brain Functions, edited by Dmitry E. Postnov. SPIE, 2021. http://dx.doi.org/10.1117/12.2590416.

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Xu, Wenzheng, Dezhong Peng, Weifa Liang, Xiaohua Jia, Zichuan Xu, Pan Zhou, Weigang Wu, and Xiang Chen. "Maximizing h-hop Independently Submodular Functions Under Connectivity Constraint." In IEEE INFOCOM 2022 - IEEE Conference on Computer Communications. IEEE, 2022. http://dx.doi.org/10.1109/infocom48880.2022.9796957.

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Frolov, Nikita, and Elena Pitsik. "Age-related changes in the brain functional connectivity during motor initiation." In Computations and Data Analysis: from Molecular Processes to Brain Functions, edited by Dmitry E. Postnov. SPIE, 2021. http://dx.doi.org/10.1117/12.2591775.

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Capelli, Beatrice, Hassan Fouad, Giovanni Beltrame, and Lorenzo Sabattini. "Decentralized Connectivity Maintenance with Time Delays using Control Barrier Functions." In 2021 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2021. http://dx.doi.org/10.1109/icra48506.2021.9561066.

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Capelli, Beatrice, and Lorenzo Sabattini. "Connectivity Maintenance: Global and Optimized approach through Control Barrier Functions." In 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2020. http://dx.doi.org/10.1109/icra40945.2020.9197109.

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Mansilla, Lucy A. C., Paulo A. V. Vechiatto Miranda, and Fabio A. M. Cappabianco. "Image Segmentation by Image Foresting Transform with Non-smooth Connectivity Functions." In 2013 XXVI SIBGRAPI - Conference on Graphics, Patterns and Images (SIBGRAPI). IEEE, 2013. http://dx.doi.org/10.1109/sibgrapi.2013.29.

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Reports on the topic "Connectivity Functions"

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Schalk, Gerwin. Methods for Functional Connectivity Analyses. Fort Belvoir, VA: Defense Technical Information Center, December 2012. http://dx.doi.org/10.21236/ada581750.

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Nieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 18. Hilbert Press, 2018. http://dx.doi.org/10.56441/hilbertpress.1818.9585.

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CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI). Connectivity measures include seed-to-voxel connectivity maps, ROI-to- ROI connectivity matrices, graph properties of connectivity networks, generalized psychophysiological interaction models (gPPI), intrinsic connectivity, local correlation and other voxel-to-voxel measures, independent component analyses (ICA), and dynamic component analyses (dyn-ICA). CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing, including spatial coregistration, ART-based scrubbing, aCompCor strategy for control of physiological and movement confounds, first-level connectivity estimation, and second-level random-effect analyses and hypothesis testing.
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Nieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 20. Hilbert Press, 2020. http://dx.doi.org/10.56441/hilbertpress.2048.3738.

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CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI). Connectivity measures include seed-to-voxel connectivity maps, ROI-to- ROI connectivity matrices, graph properties of connectivity networks, generalized psychophysiological interaction models (gPPI), intrinsic connectivity, local correlation and other voxel-to-voxel measures, independent component analyses (ICA), and dynamic component analyses (dyn-ICA). CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing, including spatial coregistration, ART-based scrubbing, aCompCor strategy for control of physiological and movement confounds, first-level connectivity estimation, and second-level random-effect analyses and hypothesis testing.
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Nieto-Castanon, Alfonso. CONN functional connectivity toolbox (RRID:SCR_009550), Version 19. Hilbert Press, 2019. http://dx.doi.org/10.56441/hilbertpress.1927.9364.

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CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI). Connectivity measures include seed-to-voxel connectivity maps, ROI-to- ROI connectivity matrices, graph properties of connectivity networks, generalized psychophysiological interaction models (gPPI), intrinsic connectivity, local correlation and other voxel-to-voxel measures, independent component analyses (ICA), and dynamic component analyses (dyn-ICA). CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing, including spatial coregistration, ART-based scrubbing, aCompCor strategy for control of physiological and movement confounds, first-level connectivity estimation, and second-level random-effect analyses and hypothesis testing.
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Pineda, Jaime A., and Ralph-Axel Mueller. Improving Synchronization and Functional Connectivity in Autism Spectrum Disorders through Plasticity-Induced Rehabilitation Training. Fort Belvoir, VA: Defense Technical Information Center, August 2011. http://dx.doi.org/10.21236/ada555805.

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de Bartolomeis, Andrea, Giuseppe De Simone, Mariateresa Ciccarelli, Alessia Castiello, Benedetta Mazza, Licia Vellucci, and Annarita Barone. Antipsychotics-induced changes in synaptic architecture and functional connectivity. Translational implications for treatment response and resistance. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0107.

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Francesco, Petruccione,, Gastrow, Michael, Hadzic, Senka, Limpitlaw, Justine, Paul, Babu Sena, Wolhuter, Riaan, and Kies, Carl. Evaluation of Alternative Telecommunication Technologies for the Karoo Central Astronomy Advantage Area. Academy of Science of South Africa (ASSAf), 2021. http://dx.doi.org/10.17159/assaf.2021/0073.

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The National Research Foundation (NRF) requested the Academy of Science of South Africa (ASSAf), on behalf of South African Radio Astronomy Observatory (SARAO) and the Square Kilometre Array (SKA), to undertake an independent and objective evaluation of potential alternative telecommunication technologies for the areas of the Karoo Central Astronomy Advantage Areas (KCAAA). The study encompasses regulatory, public sphere, and technical dimensions to explore options for maintaining the functionality of the telescope while, at the same time, delivering appropriate connectivity solutions for local communities.The objectives of this study are as follows: 1) Assess the technologies currently being, or planning to be, deployed through existing alternative communications programs managed by SARAO, including whether these technologies are comparable with market available technologies that could feasibly be deployed in the KCAAA; and 2) Assessment of current and future telecommunication technologies that may act as suitable replacement and/or improvement (functional and feasible) for existing detrimental technologies, utilised in the KCAAA. This report provides a critical background into the relationship between the SKA and local communities as it relates to ICTs in the area. Based on this understanding, potential technology solutions are proposed to ensure residents of the KCAAA are still afforded valuable access to information and communication technologies (ICTs) within the parameters of affordability, desirability and feasibility.
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Mothers’ prenatal BMI is linked with foetal brain connectivity. ACAMH, December 2020. http://dx.doi.org/10.13056/acamh.14315.

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New data suggest that a high maternal prenatal body mass index (BMI) is associated with differences in functional connectivity in the foetal brain that might confer a risk of mental health and cognitive problems in childhood.
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‘Longitudinal association between externalising behaviour and frontoamygdalar resting-state functional connectivity’ In conversation Dr. Sandra Thijssen. ACAMH, July 2021. http://dx.doi.org/10.13056/acamh.16224.

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In this podcast we talk to Assistant Professor Dr Sandra Thijjsen about her JCPP paper 'the longitudinal association between externalising behaviour and frontoamygdalar resting-state functional connectivity in late adolescence and young adulthood'.
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