cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification
Creators: name: Haralampieva, Veneta
name: Rueckert, Daniel
name: Passerat-Palmbach, Jonathan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Cryptography and Security (cs.CR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: This work provides a comprehensive review of existing frameworks based on secure computing techniques in the context of private image classification. The in-depth analysis of these approaches is followed by careful examination of their performance costs, in particular runtime and communication overhead. To further illustrate the practical considerations when using different privacy-preserving technologies, experiments were conducted using four state-of-the-art libraries implementing secure computing at the heart of the data science stack: PySyft and CrypTen supporting private inference via Secure Multi-Party Computation, TF-Trusted utilising Trusted Execution Environments and HE- Transformer relying on Homomorphic encryption. Our work aims to evaluate the suitability of these frameworks from a usability, runtime requirements and accuracy point of view. In order to better understand the gap between state-of-the-art protocols and what is currently available in practice for a data scientist, we designed three neural network architecture to obtain secure predictions via each of the four aforementioned frameworks. Two networks were evaluated on the MNIST dataset and one on the Malaria Cell image dataset. We observed satisfying performances for TF-Trusted and CrypTen and noted that all frameworks perfectly preserved the accuracy of the corresponding plaintext model.
Coverage Planning for Multiple Unmanned Aerial Vehicles with Guaranteed Deadlines
Creators: name: Cordeschi, Lucia
Publisher: name: University of Illinois at Chicago
Year: 2020
Subjects: Uncategorized

description: Several situations may require monitoring a known region where dynamic events, such as forest fires, wildlife, or public spaces, are happening. The present work develops a set of algorithms to perform autonomous navigation in similar situations. The algorithms' requirements are essentially two: complete coverage of the region and set different visitation intervals for different points in the region. The first purpose of the work is to formalize the problem, creating a way to represent the evolution of the considered phenomena over time. It is performed through the discretization of the region and the creation of a point-wise priority function. In the algorithms developing process, specific requirements are considered taking into account different needs. To meet them, both centralized algorithms and a decentralized one are presented. The centralized algorithms can be distinguished considering what they look for: a Maxima Search algorithm searches for the next destination (reached with n steps of the vehicles), choosing the one with the higher priority, while the MPC-based algorithm searches for the best next step considering the time evolution of a function of the priority function. In this case, the step is the distance traveled in the minimum interval of time with the constant velocity considered. The decentralized algorithm bases its navigation on one of the centralized ones. It requires a mechanism to divide the area into regions of interest associated with each vehicle and update their information. The mechanism is forcing the vehicles to meet periodically. During this meeting, the priority information is updated, and the region is sub-divided. In the end, the performance of the different algorithms are compared, and their strengths and weaknesses are highlighted.
Quantum Secure Direct Communication with Mutual Authentication using a Single Basis
Creators: name: Das, Nayana
name: Paul, Goutam
name: Majumdar, Ritajit
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Cryptography and Security (cs.CR)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: In this paper, we propose a new theoretical scheme for quantum secure direct communication (QSDC) with user authentication. Different from the previous QSDC protocols, the present protocol uses only one orthogonal basis of single-qubit states to encode the secret message. Moreover, this is a one-time and one-way communication protocol, which uses qubits prepared in a randomly chosen arbitrary basis, to transmit the secret message. We discuss the security of the proposed protocol against some common attacks and show that no eaves-dropper can get any information from the quantum and classical channels. We have also studied the performance of this protocol under realistic device noise. We have executed the protocol in IBMQ Armonk device and proposed a repetition code based protection scheme that requires minimal overhead.
Complete Wetting of Pits and Grooves
Creators: name: Tasinkevych, M.
name: Dietrich, S.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: For one-component volatile fluids governed by dispersion forces an effective interface Hamiltonian, derived from a microscopic density functional theory, is used to study complete wetting of geometrically structured substrates. Also the long range of substrate potentials is explicitly taken into account. Four types of geometrical patterns are considered: (i) one-dimensional periodic arrays of rectangular or parabolic grooves and (ii) two-dimensional lattices of cylindrical or parabolic pits. We present numerical evidence that at the centers of the cavity regions the thicknesses of the adsorbed films obey precisely the same geometrical covariance relation, which has been recently reported for complete cone and wedge filling. However, this covariance does not hold for the laterally averaged wetting film thicknesses. For sufficiently deep cavities with vertical walls and close to liquid-gas phase coexistence in the bulk, the film thicknesses exhibit an effective planar scaling regime, which as function of undersaturation is characterized by a power law with the common critical exponent -1/3 as for a flat substrate, but with the amplitude depending on the geometrical features.
description: 12 pages
Interactions between the hippocampus, prefrontal cortex and the ventral striatum during spatially-mediated foraging behaviour in the rat
Creators: name: Floresco, Stanley Bogdan
Publisher: name: University of British Columbia
Year: 2009

description: Numerous studies have implicated the hippocampus in spatial learning and memory. The present series of experiments assessed the role of the ventral CAl/subiculum (vCAl/sub) region of the rat hippocampus in performance of a spatially-mediated radial-arm maze test battery. The role of this structure during foraging was assessed when rats either had, or did not have previous information about the location of food. In addition, the present study investigated the interactions between the vCAl/sub and either the nucleus accumbens (N.Acc.) region of the ventral striatum or the prelimbic (PL) region of the medial prefrontal cortex during performance of these different radial-arm maze tasks. In Experiment 1, bilateral, transient, lidocaine-induced lesions of the vCAl/sub did not disrupt test-phase performance of a delayed spatial win-shift (SWSh) task, when lidocaine was administered prior to the training phase of this task. However, lidocaine infusions did impair foraging during the test phase of this task if lesions were administered prior to the test phase. Similarly, transient lesions of the vCAl/sub impaired performance during a random foraging (RF) task, which required rats to forage for four pellets placed randomly on an eight-arm maze. In Experiment 2, interactions between the vCAl/sub and either the PL or the N.Acc. were examined, using a "disconnection procedure", involving a unilateral lesion of the vCAl/sub and a contralateral lesion of the PL or the N.Acc. prior to either the delayed SWSh task or the RF task. Disconnections between the PL and the vCAl/sub did not disrupt foraging during the RF task, but severely disrupted foraging during the test phase of the delayed SWSh task. Conversely, disconnections between the N.Acc. and the vCAl/sub impaired foraging behavior on the RF task, but not the delayed SWSh task. The results of Experiment 1 suggest that the vCAl/sub region of the hippocampus is not involved in the acquisition of trial-unique spatial information, but is involved in the retrieval of this information following a delay. This region is also involved in foraging on a radial arm maze, in situations in which an animal has no prior information about the location of food in an environment. Furthermore, the results of Experiment 2 support the theory that as the demands of different foraging task vary, the hippocampus interacts with different forebrain structures to guide foraging behavior. During foraging when the animal has no prior information about the location of food, the vCAl/sub appears to interact primarily with the N.Acc. and not the PL to guide this behavior. During delayed foraging, the vCAl/sub interacts primarily with the PL but not the N.Acc. to guide behavior. The present results support the hypothesis that different neural circuits are involved in different types of foraging behavior.
title: WP1 Links between missions-services-applications
title: D1.3
titleType: Subtitle
Creators: name: Bocin-Dumitriu, Andrei
name: Kazlouskaya, Miraslava
name: van Duivenbode, Linda
Publisher: name: Zenodo
Year: 2023

description: D1.3 Report with analysis of links within Copernicus programme and between Copernicus programme and domain / sector policies. The aim was to identify which (if any) links exist between the Copernicus programme and policy and legislative cycle: the extent to which international treaties and global agreements benefit from information provided by Copernicus EO water related services and, in turn, which of these influence the development of the Copernicus mission.

The objective of Task 1.3 “Links between mission-service-application from current Copernicus Services and future Copernicus missions” was to determine the links between satellite missions, services and policy driven applications. Using the inputs from T1.2, this deliverable identified which (if any) traceable links exist between the upstream missions and the downstream EU and international policies and resulting legislation. The Copernicus programme was developed to fill in spatial and temporal gaps in availability of environmental data and decision making. Although in some fields, such as agriculture, progress has been made, there remains plenty of scope where remote sensing can help in improving or developing improved monitoring and new applications. The European Commission identified the need to develop improved inland water services, and for that we need to facilitate the different Copernicus Services as well as Horizon 2020 and ESA research projects.
[Field notebook XVII]
Creators: name: Charlie, Bill
name: George, Mary
name: Harry, Christine
name: Harry, Noel George
name: Joseph, Heaver
name: Joseph, Magdalene
name: Mitchell, Joe
name: Paul, Elsie
name: Paul, Tommy
name: Davis, John H.
Publisher: name: California Language Archive, University of California, Berkeley
Year: 2024
Subjects: subject: coo

description: 1 PDF file. Researcher indicates overall page range as 910-983. Initials "J.D." stand for the researcher.
Low-Frequency study of two clusters of galaxies: A2744 and A2219
Creators: name: Orru', E.
name: Murgia, M.
name: Feretti, L.
name: Govoni, F.
name: Brunetti, G.
name: Giovannini, G.
name: Girardi, M.
name: Setti, G.
name: .
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: Spectral index images can be used to constraint the energy spectrum of relativistic electrons and magnetic field distribution in radio halos and relics, providing useful information to understand their formation, evolution and connection to cluster merger processes. We present low-frequency images of the two clusters of galaxies: A2744 and A2219, in which a wide diffuse emission is detected. Observations were made with the Very Large Array at the frequency of 325 MHz. For both clusters deep Very Large Array 1.4 GHz observations are available. Combining the 325 MHz and 1.4 GHz data, we obtained the spectral index images and the brightness radial profiles of the diffuse radio emission with a resolution of ~ 1'. The azimuthally averaged spectral index in A2744 is constant to a value close to alpha ~ 1 up to a distance of 1 Mpc from the cluster center. However, the spectral index image shows the presence of localized regions in which the radio spectrum is significantly different from the average. The observed spectral index variations range from a minimum of alpha ~ 0.7 +/- 0.1 to a maximum alpha ~ 1.5 +/- 0.2. From the comparison of the spectral index with the X-rays data it is found for the first time that the flat spectrum regions of the radio halo tend to have higher temperature. In the case of A2219, the radio emission in the central regions of the cluster is dominated by the blend of discrete sources. The azimuthally averaged radio spectrum is alpha ~ 0.8 in the central region of the cluster and is close to a value of alpha ~ 1 in the radio halo. The limited sensitivity of the 325 MHz image does not allowed us to detect all the radio halo structure seen at 1.4 GHz and therefore no constrains on the point-to-point variations of the spectral index have been obtained for this cluster.
description: 13 pages, 11 figures, accepted by A&A. For a version with high quality figures, see http://erg.ca.astro.it/preprints/orru2007/
A staggered-grid multilevel incomplete LU for steady incompressible flows
Creators: name: Baars, Sven
name: van der Klok, Mark
name: Thies, Jonas
name: Wubs, Fred W.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Numerical Analysis (math.NA)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Algorithms for studying transitions and instabilities in incompressible flows typically require the solution of linear systems with the full Jacobian matrix. Other popular approaches, like gradient-based design optimization and fully implicit time integration, also require very robust solvers for this type of linear system. We present a parallel fully coupled multilevel incomplete factorization preconditioner for the 3D stationary incompressible Navier-Stokes equations on a structured grid. The algorithm and software are based on the robust two-level method developed by Wubs and Thies. In this paper, we identify some of the weak spots of the two-level scheme and propose remedies such as a different domain partitioning and recursive application of the method. We apply the method to the well-known 3D lid-driven cavity benchmark problem, and demonstrate its superior robustness by comparing with a segregated SIMPLE-type preconditioner.
On the Decay Rate of the False Vacuum
Creators: name: Zoli, Marco
Publisher: name: arXiv
Year: 2008
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: The finite size theory of metastability in a quartic potential is developed by the semiclassical path integral method. In the quantum regime, the relation between temperature and classical particle energy is found in terms of the first complete elliptic integral. At the sphaleron energy, the criterion which defines the extension of the quantum regime is recovered. Within the latter, the temperature effects on the fluctuation spectrum are evaluated by the functional determinants method and computed. The eigenvalue which causes metastability is determined as a function of size/temperature by solving a Lamè equation. The ground state lifetime shows remarkable deviations with respect to the result of the infinite size theory.
description: 5 Figures
Convex Latent Representation Learning with Generalized Invariance
Creators: name: Vignesh Ganapathiraman
Publisher: name: University of Illinois at Chicago
Year: 2020
Subjects: Uncategorized

description: Finding representations of data that are useful for the underlying prediction task has been an important and active pursuit in machine learning. Modern-day deep learning algorithms have been hugely successful in making accurate data-driven predictions by automatically learning highly discriminative representations of data via multiple nonlinear transformations. In addition to learning discriminative representations, it is also useful to encode problem / task specific information (priors) directly in the representations. For instance, in image classification, it is useful to enforce the constraint that a machine learning model's prediction should not change when the image is perturbed spatially a.k.a translation invariance. One way to realize non-trivial structured priors in a model is via carefully designed losses and regularizers. However regularization approaches result in a hard non-convex optimization problem. Non-convex optimization problems often pose serious challenges in training and seldom result in guaranteed optimal solutions (global optima). In this thesis, we address the above challenges in representation learning by: (1) exploring priors that encode non-trivial problem / data specific structures (2) designing efficient convex models and training algorithms to automatically learn these structures n a data-dependent fashion (3) providing learning and approximation guarantees wherever possible. Our first approach towards convex representation learning is to explicitly model structured priors in the latent layer of a two-layer neural network. The resulting non-convex optimization problem is then relaxed to obtain a convex model that is able to obtain all the structural regularities of the original non-convex problem. Second, we develop a new convex representation learning framework, based on semi-inner-product spaces, to model the so-called generalized invariances in an efficient and scalable manner.
PAC-Bayesian Lifelong Learning For Multi-Armed Bandits
Creators: name: Flynn, Hamish
name: Reeb, David
name: Kandemir, Melih
name: Peters, Jan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: We present a PAC-Bayesian analysis of lifelong learning. In the lifelong learning problem, a sequence of learning tasks is observed one-at-a-time, and the goal is to transfer information acquired from previous tasks to new learning tasks. We consider the case when each learning task is a multi-armed bandit problem. We derive lower bounds on the expected average reward that would be obtained if a given multi-armed bandit algorithm was run in a new task with a particular prior and for a set number of steps. We propose lifelong learning algorithms that use our new bounds as learning objectives. Our proposed algorithms are evaluated in several lifelong multi-armed bandit problems and are found to perform better than a baseline method that does not use generalisation bounds.
description: 29 pages, 5 figures
Packaging of Thick Membranes using a Multi-Spiral Folding Approach: Flat and Curved Surfaces
Creators: name: Parque, Victor
name: Suzaki, Wataru
name: Miura, Satoshi
name: Torisaka, Ayako
name: Miyashita, Tomoyuki
name: Natori, Michihiro
Publisher: name: arXiv
Year: 2020
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Numerical Analysis (math.NA)
subject: Systems and Control (eess.SY)
subject: Differential Geometry (math.DG)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Elucidating versatile configurations of spiral folding, and investigating the deployment performance is of relevant interest to extend the applicability of deployable membranes towards large-scale and functional configurations. In this paper we propose new schemes to package flat and curved membranes of finite thickness by using multiple spirals, whose governing equations render folding lines by juxtaposing spirals and by accommodating membrane thickness. Our experiments using a set of topologically distinct flat and curved membranes deployed by tensile forces applied in the radial and circumferential directions have shown that (1) the multi-spiral approach with prismatic folding lines offered the improved deployment performance, and (2) the deployment of curved surfaces progresses rapidly within a finite load domain. Furthermore, we confirmed the high efficiency of membranes folded by multi-spiral patterns. From viewpoints of configuration and deployment performance, the multi-spiral approach is potential to extend the versatility and maneuverability of spiral folding mechanisms.
Plasma induced fermion spin-flip conversion f_L -> f_R + gamma
Creators: name: Kuznetsov, A. V.
name: Mikheev, N. V.
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The fermion spin-flip conversion f_L -> f_R + gamma is considered, caused by the difference of the additional energies of the electroweak origin, acquired by left- and right-handed fermions (neutrino, electron) in medium. An accurate taking account of the fermion and photon dispersion in medium is performed. It is shown that the threshold arises in the process, caused by the photon (plasmon) effective mass. This threshold leaves no room for the so-called ``spin light of neutrino'' and ``spin light of electron'' in the real astrophysical situations.
description: 15 pages, LaTeX, 2 EPS figures, submitted to International Journal of Modern Physics A
Lotka-Volterra population dynamics in coherent and tunable oscillators of trapped polariton condensates
Creators: name: Töpfer, Julian D.
name: Sigurdsson, Helgi
name: Alyatkin, Sergey
name: Lagoudakis, Pavlos G.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We demonstrate a regime in which matter-wave condensates of exciton-polaritons trapped in an elliptically shaped two-dimensional potential appear as a coherent mixture of ground and first-excited state of the quantum harmonic oscillator. This system resembles an optically controllable two-level system and produces near terahertz harmonic oscillations of the condensate's center of mass along the major axis of the elliptical trapping potential. The population ratio between the two trap levels is tunable through the excitation laser power and is shown to follow Lotka-Volterra dynamics. We demonstrate coherence formation between two spatially displaced trapped condensate oscillators - the polaritonic analogue of Huygen's clock synchronization for coupled condensate oscillators.
Steady Free Convection and Mass Transfer MHD Flow of a Micropolar Fluid in a Vertical Channel with Heat Source and Chemical Reaction
Creators: name: Manoj Kumar NAYAK, Gouranga Charan DASH
Publisher: name: Walailak University
Year: 2015
Subjects: Free convection, micropolar fluid, heat-source/sink, chemical reaction, magnetic field

description: 9, 12, Walailak Journal of Science and Technology
The topography of multivariate normal mixtures
Creators: name: Ray, Surajit
name: Lindsay, Bruce G.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Statistics Theory (math.ST)
subject: FOS: Mathematics
subject: 62E10, 62H05 (Primary) 62H30 (Secondary)

description: Multivariate normal mixtures provide a flexible method of fitting high-dimensional data. It is shown that their topography, in the sense of their key features as a density, can be analyzed rigorously in lower dimensions by use of a ridgeline manifold that contains all critical points, as well as the ridges of the density. A plot of the elevations on the ridgeline shows the key features of the mixed density. In addition, by use of the ridgeline, we uncover a function that determines the number of modes of the mixed density when there are two components being mixed. A followup analysis then gives a curvature function that can be used to prove a set of modality theorems.
description: Published at http://dx.doi.org/10.1214/009053605000000417 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
MHD Visco-Elastic Fluid Flow over a Continuously Moving Vertical Surface with Chemical Reaction
Creators: name: Bhumarapu VENKATESWARLU, Panyam Venkata Satya NARAYANA
Publisher: name: Walailak University
Year: 2015
Subjects: Visco-elastic flow, MHD, chemical reaction, heat generation

description: 9, 12, Walailak Journal of Science and Technology
Behaviorally Diverse Traffic Simulation via Reinforcement Learning
Creators: name: Shiroshita, Shinya
name: Maruyama, Shirou
name: Nishiyama, Daisuke
name: Castro, Mario Ynocente
name: Hamzaoui, Karim
name: Rosman, Guy
name: DeCastro, Jonathan
name: Lee, Kuan-Hui
name: Gaidon, Adrien
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Traffic simulators are important tools in autonomous driving development. While continuous progress has been made to provide developers more options for modeling various traffic participants, tuning these models to increase their behavioral diversity while maintaining quality is often very challenging. This paper introduces an easily-tunable policy generation algorithm for autonomous driving agents. The proposed algorithm balances diversity and driving skills by leveraging the representation and exploration abilities of deep reinforcement learning via a distinct policy set selector. Moreover, we present an algorithm utilizing intrinsic rewards to widen behavioral differences in the training. To provide quantitative assessments, we develop two trajectory-based evaluation metrics which measure the differences among policies and behavioral coverage. We experimentally show the effectiveness of our methods on several challenging intersection scenes.
description: 8 pages, 16 figures
title: WP1 Links and gaps between satellite EO and water related SDGs and climate indicators
title: D1.6 Report on links and gaps between satellite EO and water related SDGs and climate indicators
titleType: Subtitle
Creators: name: Wilson, Harriet
name: Spyrakos, Evangelos
Publisher: name: Zenodo
Year: 2023

description: Task 1.6 ‘’Contribution towards societal challenges, missions and SDGs’’ aimed to identify the links and gaps between satellite EO variables and water-related SDGs. This task aimed to identify and synthesise existing research and engage with stakeholders with global reach and international programmes to build understanding about human health, sanitation and food security EO needs in relation to water quality and quantity. This task also aimed to summarise the requirements of users of climate information.

We carried out extensive literature/online research to identify the EO capabilities for inland waters and links/gaps between EO and SDGs and links with Global Climate Indicators (GCIs). The report provides a summary of existing Copernicus Services based on the service websites and presentations from service representatives given during the Water-ForCE workshop ‘’Copernicus water component evolution – policy expert’’ (20-21 October 2021). We have identified and engaged with key related projects and international organisations/initiatives to better understand requirements, needs and opportunities with regards to climate research and SDGs. This information was collected though:

- Water-ForCE workshops and other activities (e.g. webinars) where key international organisations and representatives of global initiatives were invited.

- Active engagement (memberships, stream works etc.) with international initiatives and relevant projects (e.g. ESA Climate Change Initiative (CCI)).

Note, this document does not address links between EO for water resources and EU policy and legislation, as this is included in Task 1.3 (D1.3 Report with analysis of links within the Copernicus programme and between the Copernicus programme and domain/sector policies). Here, we focus on a link-gap analysis from the global perspective.

The outcomes from this task feed directly into WP6, the roadmap for Copernicus Inland Water Services.
The minimal log discrepancy
Creators: name: Ambro, Florin
Publisher: name: arXiv
Year: 2006
Subjects: subject: Algebraic Geometry (math.AG)
subject: Complex Variables (math.CV)
subject: FOS: Mathematics
subject: 14C20; 14B05

description: We survey the known and expected properties of the minimal log discrepancy, the local invariant of a log variety.
description: 15 pages; LaTeX
Obesity and Asthma: Adiponectin Receptor 1 (Adipo R1) and Adiponectin Receptor 2 (Adipo R2) are expressed by normal human bronchial epithelial (NHBE) cells at air-liquid interface (ALI) and expression changes with IL-13 stimulation
Creators: name: Bradley, Jennifer
Publisher: name: VCU Libraries
Year: 2016

description: VCU Theses and Dissertations
Publications of Walailak University from 2007 to 2014 in ISI, SCOPUS and TCI Databases
Creators: name: Chitnarong SIRISATHITKUL, Yaowarat SIRISATHITKUL
Publisher: name: Walailak University
Year: 2015
Subjects: Walailak University, publication indicators, SCOPUS, Web of Science, Thai-Journal Citation Index

description: 9, 12, Walailak Journal of Science and Technology
Properties of Galaxy Groups in the SDSS: II.- AGN Feedback and Star Formation Truncation
Creators: name: Weinmann, Simone M.
name: Bosch, Frank C. van den
name: Yang, Xiaohu
name: Mo, H. J.
name: Croton, Darren J.
name: Moore, Ben
Publisher: name: arXiv
Year: 2006
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: Successfully reproducing the galaxy luminosity function and the bimodality in the galaxy distribution requires a mechanism that can truncate star formation in massive haloes. Current models of galaxy formation consider two such truncation mechanisms: strangulation, which acts on satellite galaxies, and AGN feedback, which predominantly affects central galaxies. The efficiencies of these processes set the blue fraction of galaxies as function of galaxy luminosity and halo mass. In this paper we use a galaxy group catalogue extracted from the Sloan Digital Sky Survey (SDSS) to determine these fractions. To demonstrate the potential power of this data as a benchmark for galaxy formation models, we compare the results to the semi-analytical model for galaxy formation of Croton et al. (2006). Although this model accurately fits the global statistics of the galaxy population, as well as the shape of the conditional luminosity function, there are significant discrepancies when the blue fraction of galaxies as a function of mass and luminosity is compared between the observations and the model. In particular, the model predicts (i) too many faint satellite galaxies in massive haloes, (ii) a blue fraction of satellites that is much too low, and (iii) a blue fraction of centrals that is too high and with an inverted luminosity dependence. In the same order, we argue that these discrepancies owe to (i) the neglect of tidal stripping in the semi-analytical model, (ii) the oversimplified treatment of strangulation, and (iii) improper modeling of dust extinction and/or AGN feedback. The data presented here will prove useful to test and calibrate future models of galaxy formation and in particular to discriminate between various models for AGN feedback and other star formation truncation mechanisms.
description: 16 pages, 5 figures, submitted to MNRAS
A Dynamic Mode Decomposition Based Deep Learning Technique for Prognostics
Creators: name: Akkad, Khaled Mohammad A
Publisher: name: University of Illinois at Chicago
Year: 2020
Subjects: Uncategorized

description: Remaining useful life is one of the key indicators for mechanical equipment health and condition-based maintenance requirements. The field of prognostics and health management heavily relies on remaining useful life estimation. Due to the magnitude of monetary costs associated with failure of mechanical equipment, remaining useful life prediction has become one of the pillars of the prognostics and health management field. The availability of industrial big data enabled remarkable research efforts in prognostics. Much of this effort is directed at the development and improvement of deep learning based prognostic techniques by means of creating hybrid models, hyperparameter optimization, and other approaches. This dissertation aims to improve the remaining useful estimation capabilities of deep learning prognostic techniques by integrating a physics based approach into deep learning schemes. This physics based approach is the Koopman operator which produces infinitely linear representations of nonlinear systems with known equations. These infinite representations need to be approximated via a data driven approach for the purposes of obtaining health indicators useful for predicting the remaining useful of industrial machines and equipment. Dynamic mode decomposition is a data driven approach for approximating the modes of the Koopman operator. In this dissertation, dynamic mode decomposition is incorporated into a variety of deep learning prognostic schemes to enhance the performance of the remaining useful estimation. Two industrial applications are utilized to validate the proposed approach. The first application is the NASA spiral bevel gear vibration data. The second application is the NASA commercial modular aero-propulsion system simulated vibration data of turbofan engines. The proposed approach demonstrates an increase in accuracy of remaining useful estimation in both applications and across all datasets therein when the dynamic mode decomposition is in incorporated into the deep learning prognostic schemes.
Thermo-mechanical behavior of surface acoustic waves in ordered arrays of nanodisks studied by near infrared pump-probe diffraction experiments
Creators: name: Giannetti, C.
name: Revaz, B.
name: Banfi, F.
name: Montagnese, M.
name: Ferrini, G.
name: Cilento, F.
name: Maccalli, S.
name: Vavassori, P.
name: Oliviero, G.
name: Bontempi, E.
name: Depero, L. E.
name: Metlushko, V.
name: Parmigiani, F.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The ultrafast thermal and mechanical dynamics of a two-dimensional lattice of metallic nano-disks has been studied by near infrared pump-probe diffraction measurements, over a temporal range spanning from 100 fs to several nanoseconds. The experiments demonstrate that, in these systems, a two-dimensional surface acoustic wave (2DSAW), with a wavevector given by the reciprocal periodicity of the array, can be excited by ~120 fs Ti:sapphire laser pulses. In order to clarify the interaction between the nanodisks and the substrate, numerical calculations of the elastic eigenmodes and simulations of the thermodynamics of the system are developed through finite-element analysis. At this light, we unambiguously show that the observed 2DSAW velocity shift originates from the mechanical interaction between the 2DSAWs and the nano-disks, while the correlated 2DSAW damping is due to the energy radiation into the substrate.
description: 13 pages, 10 figures
Improving healthcare access management by predicting patient no-show behaviour
Creators: name: Ferro, David Barrera
name: Brailsford, Sally
name: Bravo, Cristián
name: Smith, Honora
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Low attendance levels in medical appointments have been associated with poor health outcomes and efficiency problems for service providers. To address this problem, healthcare managers could aim at improving attendance levels or minimizing the operational impact of no-shows by adapting resource allocation policies. However, given the uncertainty of patient behaviour, generating relevant information regarding no-show probabilities could support the decision-making process for both approaches. In this context many researchers have used multiple regression models to identify patient and appointment characteristics than can be used as good predictors for no-show probabilities. This work develops a Decision Support System (DSS) to support the implementation of strategies to encourage attendance, for a preventive care program targeted at underserved communities in Bogotá, Colombia. Our contribution to literature is threefold. Firstly, we assess the effectiveness of different machine learning approaches to improve the accuracy of regression models. In particular, Random Forest and Neural Networks are used to model the problem accounting for non-linearity and variable interactions. Secondly, we propose a novel use of Layer-wise Relevance Propagation in order to improve the explainability of neural network predictions and obtain insights from the modelling step. Thirdly, we identify variables explaining no-show probabilities in a developing context and study its policy implications and potential for improving healthcare access. In addition to quantifying relationships reported in previous studies, we find that income and neighbourhood crime statistics affect no-show probabilities. Our results will support patient prioritization in a pilot behavioural intervention and will inform appointment planning decisions.
description: v4 - 26 pages
title: WP1 Innovation needs and opportunities
title: D1.5 Innovation needs and opportunities
titleType: Subtitle
Creators: name: Bocin-Dumitriu, Andrei
name: Kazlouskaya, Miraslava
Publisher: name: Zenodo
Year: 2023

description: The objective of Task 1.5 was the identification and development of innovation needs and business opportunities and assess if and how industry and SME policy and instruments support innovation. Advances take place in technology outside the space sector, such as 3D printing, miniaturisation, Internet of Things, virtual and augmented reality data visualisation, computer processing and storage of power, and in the space sector, such as sensors attached to aeroplanes (SkyFlox), high altitude platforms and large smallsat constellations (companies Planet and Satellogic provide daily global imagery, Hiber provides global low power IoT solutions). In addition to technology, a number of projects have pioneered the role of citizen science and Earth Observation. These developments offer much scope for innovation in remote sensing - adding sources and layers of data to the currently available data products and services. At the same time, there is discussion about the role of the public sector (how far down the chain should publicly funded Copernicus services go) and the private sector (when does the private sector step in to develop novel products and services). Deliverable D1.5 identifies, in consultation with industry, what the needs and opportunities are across the whole Earth Observation (EO) value chain (upstream - applications).
Giant current-driven domain wall mobility in (Ga,Mn)As
Creators: name: Nguyen, Anh Kiet
name: Skadsem, Hans Joakim
name: Brataas, Arne
Publisher: name: arXiv
Year: 2006
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We study theoretically hole current-driven domain wall dynamics in (Ga,Mn)As. We show that the spin-orbit coupling causes significant hole reflection at the domain wall, even in the adiabatic limit when the wall is much thicker than the Fermi wavelength, resulting in spin accumulation and mistracking between current-carrying spins and the domain wall magnetization. This increases the out-of-plane non-adiabatic spin transfer torque and consequently the current-driven domain wall mobility by three to four orders of magnitude. Trends and magnitude of the calculated domain wall current mobilities agree with experimental findings.
description: Final version accepted by Physical Review Letters
Secure Multi-Party Quantum Conference and Xor Computation
Creators: name: Das, Nayana
name: Paul, Goutam
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Cryptography and Security (cs.CR)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Quantum conference is a process of securely exchanging messages between three or more parties, using quantum resources. A Measurement Device Independent Quantum Dialogue (MDI-QD) protocol, which is secure against information leakage, has been proposed (Quantum Information Processing 16.12 (2017): 305) in 2017, is proven to be insecure against intercept-and-resend attack strategy. We first modify this protocol and generalize this MDI-QD to a three-party quantum conference and then to a multi-party quantum conference. We also propose a protocol for quantum multi-party XOR computation. None of these three protocols proposed here use entanglement as a resource and we prove the correctness and security of our proposed protocols.
description: Accepted in Quantum Information and Computation
Asymptotic behavior of the unconditional NPMLE of the length-biased survivor function from right censored prevalent cohort data
Creators: name: Asgharian, Masoud
name: Wolfson, David B.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Statistics Theory (math.ST)
subject: FOS: Mathematics
subject: 62G20 (Primary) 62N02 (Secondary)

description: Right censored survival data collected on a cohort of prevalent cases with constant incidence are length-biased, and may be used to estimate the length-biased (i.e., prevalent-case) survival function. When the incidence rate is constant, so-called stationarity of the incidence, it is more efficient to use this structure for unconditional statistical inference than to carry out an analysis by conditioning on the observed truncation times. It is well known that, due to the informative censoring for prevalent cohort data, the Kaplan--Meier estimator is not the unconditional NPMLE of the length-biased survival function and the asymptotic properties of the NPMLE do not follow from any known result. We present here a detailed derivation of the asymptotic properties of the NPMLE of the length-biased survival function from right censored prevalent cohort survival data with follow-up. In particular, we show that the NPMLE is uniformly strongly consistent, converges weakly to a Gaussian process, and is asymptotically efficient. One important spin-off from these results is that they yield the asymptotic properties of the NPMLE of the incident-case survival function [see Asgharian, M'Lan and Wolfson J. Amer. Statist. Assoc. 97 (2002) 201--209], which is often of prime interest in a prevalent cohort study. Our results generalize those given by Vardi and Zhang [Ann. Statist. 20 (1992) 1022--1039] under multiplicative censoring, which we show arises as a degenerate case in a prevalent cohort setting.
description: Published at http://dx.doi.org/10.1214/009053605000000372 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Analytical Solution of MHD Free Convective Flow through Porous Media with Time Dependent Temperature and Concentration
Creators: name: Pradyumna Kumar PATTNAIK, Trilochan BISWAL
Publisher: name: Walailak University
Year: 2015
Subjects: MHD flow, mass transfer, heat transfer, porous medium, chemical reaction

description: 9, 12, Walailak Journal of Science and Technology
Preliminary item and subscale analysis of the seated postural control measure
Creators: name: Roxborough, Lauren Ann
Publisher: name: University of British Columbia
Year: 2009

description: The purpose of this research was to conduct a preliminary item and subscale analysis of the Seated Postural Control Measure (SPCM) to determine: 1) whether item function was consistent with the purpose of the measure; and, 2) whether the items were appropriately placed in the theoretically-derived subscales. Statistical review of item properties including item difficulty, item discrimination, item homogeneity and item-subscale congruence was undertaken using data from the two reliability studies conducted in 1991 and 1993. Analysis of these item properties required calculation of the item difficulty index, the individual gain discrimination index and the analysis of inter-item correlations and item-subscale correlations. Inter-item correlations suggested that item homogeneity was appropriate for all but one of the assessed item pairs. Item difficulty in the pre-seating condition was within the anticipated range for 31 of the 34 items. Item sensitivity as assessed by the individual gain discrimination index, was within the anticipated range for 22 of 34 items. Further exploration of the data revealed possible causes for the low discrimination index for 12 of the items including, high item difficulty, lack of effects of the intervention, and the occurrence of negative change which was not detectable by the discrimination index. Results of the assessment of item-subscale congruence supported the grouping of items in the Function scale and two of the four Alignment subscales. Results of the Alignment subscale-section congruence assessment supported the groupings of all subscales except the Head subscale. Limitations of the research which affected the strength of the conclusions were: the retrospective nature of the study; the small sample size for some items; the poor reliability of some of the alignment item data used for two of the hypotheses and the possible effect of reliability on inter-item correlations; the lack of an external measure of change; and, the constraints in the interpretation of ordinal level data. Implications of the study findings for future test development include the need to delete one redundant item, modify some items and possibly make small changes to the subscale structure. Future research should focus on establishing the responsiveness of the measure and the minimal clinically significant score difference.
Symmetry-assisted vorticity control in Bose-Einstein condensates
Creators: name: Pérez-García, Víctor M.
name: García-March, Miguel A.
name: Ferrando, Albert
Publisher: name: arXiv
Year: 2006
Subjects: subject: Pattern Formation and Solitons (nlin.PS)
subject: FOS: Physical sciences

description: Using group-theoretical methods and numerical simulations we show how to act on the topological charge of individual vortices in Bose-Einstein condensates by using control potentials with appropriate discrete symmetries. As examples of our methodology we study charge inversion and vortex erasing by acting on a set of control laser gaussian beams generating optical dipole traps.
description: 7 pages, 4 figures
title: WP1 End-user needs and requirements
title: D1.4 Report with end-user needs and requirements
titleType: Subtitle
Creators: name: Bliziotis, Dimitris
Publisher: name: Zenodo
Year: 2023

description: The D1.4 report aims to provide an overview of needs and requirements of different users in the inland and coastal water domain, as emerged from stakeholders’ and end users’ engagement processes. Activities under this task build on the analysis of the value chain and of relevant stakeholders (taking place within T1.1) as well as on identification of relevant policies and strategies affecting public domains and business sectors relevant to the inland water cycle (T1.2). The outcomes of the “Workshop WP1 - Stakeholder Input on the Evolution of Copernicus Water Services” are also taken into account for the formulation of the D1.4 deliverable.