cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Annihilogenesis
Creators: name: Arakawa, Jason
name: Rajaraman, Arvind
name: Tait, Tim M. P.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We investigate a novel interplay between the decay and annihilation of a particle whose mass undergoes a large shift during a first order phase transition, leading to the particles becoming trapped in the false vacuum and enhancing their annihilation rates as the bubbles of true vacuum expand. This opens up a large region of the parameter space where annihilations can be important. We apply this scenario to baryogenesis, where we find that annihilations can be enhanced enough to generate the requires baryon asymmetry even for relatively tiny annihilation cross sections with modest CP asymmetries.
Deep Reinforcement Learning-based Content Migration for Edge Content Delivery Networks with Vehicular Nodes
Creators: name: Malektaji, Sepideh
name: Ebrahimzadeh, Amin
name: Elbiaze, Halima
name: Glitho, Roch
name: Kianpishe, Somayeh
Publisher: name: arXiv
Year: 2023
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: With the explosive demands for data, content delivery networks are facing ever-increasing challenges to meet end-users quality-of-experience requirements, especially in terms of delay. Content can be migrated from surrogate servers to local caches closer to end-users to address delay challenges. Unfortunately, these local caches have limited capacities, and when they are fully occupied, it may sometimes be necessary to remove their lower-priority content to accommodate higher-priority content. At other times, it may be necessary to return previously removed content to local caches. Downloading this content from surrogate servers is costly from the perspective of network usage, and potentially detrimental to the end-user QoE in terms of delay. In this paper, we consider an edge content delivery network with vehicular nodes and propose a content migration strategy in which local caches offload their contents to neighboring edge caches whenever feasible, instead of removing their contents when they are fully occupied. This process ensures that more contents remain in the vicinity of end-users. However, selecting which contents to migrate and to which neighboring cache to migrate is a complicated problem. This paper proposes a deep reinforcement learning approach to minimize the cost. Our simulation scenarios realized up to a 70% reduction of content access delay cost compared to conventional strategies with and without content migration.
Molecular studies of a membrane bound protein on [gamma] [delta] T cells.
Creators: name: O'Keeffe., Meredith A.
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
IMPACT OF EDUCATIONAL ADMINISTRATION PRACTICES AND POLICIES ON STUDENT’S ACADEMIC PERFORMANCE IN LAGOS STATE SECONDARY SCHOOLS USING SELECTED PRIVATE AND PUBLIC SCHOOLS IN AMUWO ODOFIN L.G. A AS A CASE STUDY.docx
Creators: name: Nnamezie, Blessing Ngozi
Publisher: name: figshare
Year: 2025
Subjects: classificationCode: 390201
subject: Education policy
classificationCode: 390203
subject: Sociology of education
classificationCode: 390299
subject: Education policy, sociology and philosophy not elsewhere classified
classificationCode: 390202
subject: History and philosophy of education

description: This study addresses the significant influence of educational administration practices and policies on student academic performance in secondary schools. Despite various efforts to improve education, gaps in leadership, resources, and policy implementation continue to hinder student outcomes. The purpose of this study was to examine the impact of these practices and policies on student performance in secondary schools in Amuwo Odofin LGA, Lagos State. A quantitative research design was adopted, with a sample of 300 participants, including students, teachers, and principals from both public and private secondary schools. Stratified sampling was used to ensure representation from different subgroups. Data were collected using a self-designed questionnaire titled Educational Administration Practices and Policies Impact Scale (EAPPIS), which was divided into four sections: demographic information, educational administration practices, educational administration policies, and student academic performance. The instrument was validated through a pilot study with 30 participants from schools not included in the main study, and the reliability of the instrument was tested using Cronbach’s Alpha coefficient, yielding a high reliability index of 0.91. Findings revealed that educational administration practices, such as effective leadership, resource allocation, and teacher training, significantly influence student academic performance. Policy gaps, including inadequate funding, inconsistent curriculum implementation, and lack of teacher evaluation, hinder student success. A significant difference in administrative effectiveness was found between public and private schools, with private schools showing better outcomes. The study concludes that the need for consistent, well-funded educational policies, comprehensive teacher development programs, and effective leadership to enhance student achievement cannot be over-emphasized. The study recommends that enhancement of teacher training programmes and addressing policy gaps to ensure more effective school management and improved student performance.
Reinforcement of Calcium Phosphate Cement with Hybrid Silk Fibroin/Kappa-Carrageenan Nanofibers
Creators: name: Roshanfar, Fahimeh
name: Hesaraki, Saeed
name: Dolatshahi-Pirouz, Alireza
name: Saeidi, Mohsen
name: Leal-Marin, Sara
name: Glasmacher, Birgit
name: Orive, Gorka
name: Khan Einipour, Sajjad
Publisher: name: Basel : MDPI
Year: 2023
Subjects: subject: calcium phosphates cement
subject: kappa-carrageenan
subject: mechanical strength
subject: nanofiber reinforcement
subject: silk fibroin
subject: Dewey Decimal Classification::600 | Technik::610 | Medizin, Gesundheit
subject: Dewey Decimal Classification::500 | Naturwissenschaften::570 | Biowissenschaften, Biologie

description: Calcium phosphate cements (CPCs) offer a promising solution for treating bone defects due to their osteoconductive, injectable, biocompatible, and bone replacement properties. However, their brittle nature restricts their utilization to non-load-bearing applications. In this study, the impact of hybrid silk fibroin (SF) and kappa-carrageenan (k-CG) nanofibers as reinforcements in CPC was investigated. The CPC composite was fabricated by incorporating electrospun nanofibers in 1, 3, and 5% volume fractions. The morphology, mineralization, mechanical properties, setting time, injectability, cell adhesion, and mineralization of the CPC composites were analyzed. The results demonstrated that the addition of the nanofibers improved the CPC mixture, leading to an increase in compressive strength (14.8 ± 0.3 MPa compared to 8.1 ± 0.4 MPa of the unreinforced CPC). Similar improvements were seen in the bending strength and work fracture (WOF). The MC3T3-E1 cell culture experiments indicated that cells attached well to the surfaces of all cement samples and tended to join their adjacent cells. Additionally, the CPC composites showed higher cell mineralization after a culture period of 14 days, indicating that the SF/k-CG combination has potential for applications as a CPC reinforcement and bone cell regeneration promoter.
On stabilizability and exact observability of stochastic systems with their applications
Creators: name: Zhang, Weihai
name: Chen, Bor-Sen
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: This paper discusses the stabilizability, weak stabilizability, exact observability and robust quadratic stabilizability of linear stochastic control systems. By means of the spectrum technique of the generalized Lyapunov operator, a necessary and sufficient condition is given for stabilizability and weak stabilizability of stochastic systems, respectively. Some new concepts called unremovable spectrums, strong solutions, and weakly feedback stabilizing solutions are introduced. An unremovable spectrum theorem is given, which generalizes the corresponding theorem of deterministic systems to stochastic systems. A stochastic Popov-Belevith-Hautus (PBH) criterion for exact observability is obtained. For applications, we give a comparison theorem for generalized algebraic Riccati equations (GAREs), and two results on Lyapunov-type equations are obtained, which improve the previous works. Finally, we also discuss robust quadratic stabilization of uncertain stochastic systems, and a necessary and sufficient condition is given for quadratic stabilization via a linear matrix inequality (LMI).
A useful criterion on studying consistent estimation in community detection
Creators: name: Qing, Huan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In network analysis, developing a unified theoretical framework that can compare methods under different models is an interesting problem. This paper proposes a partial solution to this problem. We summarize the idea of using separation condition for a standard network and sharp threshold of Erdös-Rényi random graph to study consistent estimation, compare theoretical error rates and requirements on network sparsity of spectral methods under models that can degenerate to stochastic block model as a four-step criterion SCSTC. Using SCSTC, we find some inconsistent phenomena on separation condition and sharp threshold in community detection. Especially, we find original theoretical results of the SPACL algorithm introduced to estimate network memberships under the mixed membership stochastic blockmodel were sub-optimal. To find the formation mechanism of inconsistencies, we re-establish theoretical convergence rates of this algorithm by applying recent techniques on row-wise eigenvector deviation. The results are further extended to the degree corrected mixed membership model. By comparison, our results enjoy smaller error rates, lesser dependence on the number of communities, weaker requirements on network sparsity, and so forth. Furthermore, separation condition and sharp threshold obtained from our theoretical results match classical results, which shows the usefulness of this criterion on studying consistent estimation.
title: Τεχνολογίες μεταφοράς σε οπτικά δίκτυα
title: Transport technologies in optical networks
titleType: AlternativeTitle
Creators: name: Abdelsayed, Ahmed
Publisher: name: Πανεπιστήμιο Δυτικής Αττικής
Year: 2023
Subjects: WDM
SONET/SDH
Οπτικά δίκτυα
Οπτικές επικοινωνίες
Optical communications
Optical networks
Transport technologies
Τεχνολογίες μεταφοράς

description: Στη διπλωματική αυτή θα πραγματοποιηθεί βιβλιογραφική έρευνα για Τεχνολογίες μεταφοράς σε οπτικά δίκτυα σε μεγάλες αποστάσεις , Κύρια πρωτόκολλα και τεχνολογίες που θα μελετηθούν είναι το OTN, SDH και MPLS. Η διπλωματική θα αναδείξει και τις τάσεις για διασυνδέσεις 800 G, 1.6 Tb/s και πως αυτές θα εξυπηρετηθούν από νέες τεχνολογίες πομποδεκτών μέσα στα έξης κεφάλια.
Study of the inner dust envelope and stellar photosphere of the AGB star R Doradus using SPHERE/ZIMPOL
Creators: name: Khouri, T.
name: Maercker, M.
name: Waters, L. B. F. M.
name: Vlemmings, W. H. T.
name: Kervella, P.
name: de Koter, A.
name: Ginski, C.
name: De Beck, E.
name: Decin, L.
name: Min, M.
name: Dominik, C.
name: O'Gorman, E.
name: Schmid, H. -M.
name: Lombaert, R.
name: Lagadec, E.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences
subject: 85

description: We use high-angular-resolution images obtained with SPHERE/ZIMPOL to study the photosphere, the warm molecular layer, and the inner wind of the close-by oxygen-rich AGB star R Doradus. We present observations in filters V, cntH$α$, and cnt820 and investigate the surface brightness distribution of the star and of the polarised light produced in the inner envelope. Thanks to second-epoch observations in cntH$α$, we are able to see variability on the stellar photosphere. We find that in the first epoch the surface brightness of R Dor is asymmetric in V and cntH$α$, the filters where molecular opacity is stronger, while in cnt820 the surface brightness is closer to being axisymmetric. The second-epoch observations in cntH$α$ show that the morphology of R Dor changes completely in a timespan of 48 days to a more axisymmetric and compact configuration. The polarised intensity is asymmetric in all epochs and varies by between a factor of 2.3 and 3.7 with azimuth for the different images. We fit the radial profile of the polarised intensity using a spherically symmetric model and a parametric description of the dust density profile, $ρ(r)=ρ_\circ r^{-n}$. On average, we find exponents of $- 4.5 \pm 0.5$ that correspond to a much steeper density profile than that of a wind expanding at constant velocity. The dust densities we derive imply an upper limit for the dust-to-gas ratio of $\sim 2\times10^{-4}$ at 5.0 $R_\star$. Given the uncertainties in observations and models, this value is consistent with the minimum values required by wind-driving models for the onset of a wind, of $\sim 3.3\times10^{-4}$. However, if the steep density profile we find extends to larger distances from the star, the dust-to-gas ratio will quickly become too small for the wind of R Dor to be driven by the grains that produce the scattered light.
description: 10 pages, 8 figures, 4 tables
Accurate structure models and absolute configuration determination using dynamical effects in continuous-rotation 3D electron diffraction data
Creators: name: Klar, Paul B.
name: Krysiak, Yaşar
name: Xu, Hongyi
name: Steciuk, Gwladys
name: Cho, Jung
name: Zou, Xiaodong
name: Palatinus, Lukas
Publisher: name: London : Nature Publishing Group
Year: 2023
Subjects: subject: structure refinement
subject: crystal-structures
subject: tomography
subject: scattering
subject: program
subject: Dewey Decimal Classification::500 | Naturwissenschaften::540 | Chemie

description: Continuous-rotation 3D electron diffraction methods are increasingly popular for the structure analysis of very small organic molecular crystals and crystalline inorganic materials. Dynamical diffraction effects cause non-linear deviations from kinematical intensities that present issues in structure analysis. Here, a method for structure analysis of continuous-rotation 3D electron diffraction data is presented that takes multiple scattering effects into account. Dynamical and kinematical refinements of 12 compounds—ranging from small organic compounds to metal–organic frameworks to inorganic materials—are compared, for which the new approach yields significantly improved models in terms of accuracy and reliability with up to fourfold reduction of the noise level in difference Fourier maps. The intrinsic sensitivity of dynamical diffraction to the absolute structure is also used to assign the handedness of 58 crystals of 9 different chiral compounds, showing that 3D electron diffraction is a reliable tool for the routine determination of absolute structures. [Figure not available: see fulltext.].
K-theory and phase transitions at high energies
Creators: name: Obikhod, T. V.
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The duality between $E_8\times E_8$ heteritic string on manifold $K3\times T^2$ and Type IIA string compactified on a Calabi-Yau manifold induces a correspondence between vector bundles on $K3\times T^2$ and Calabi-Yau manifolds. Vector bundles over compact base space $K3\times T^2$ form the set of isomorphism classes, which is a semi-ring under the operation of Whitney sum and tensor product. The construction of semi-ring $Vect\ X$ of isomorphism classes of complex vector bundles over X leads to the ring $KX=K(Vect\ X)$, called Grothendieck group. As K3 has no isometries and no non-trivial one-cycles, so vector bundle winding modes arise from the $T^2$ compactification. Since we have focused on supergravity in d=11, there exist solutions in d=10 for which space-time is Minkowski space and extra dimensions are $K3\times T^2$. The complete set of soliton solutions of supergravity theory is characterized by RR charges, identified by K-theory. Toric presentation of Calabi-Yau through Batyrev's toric approximation enables us to connect transitions between Calabi-Yau manifolds, classified by enhanced symmetry group, with K-theory classification.
description: 8 pages, presented for International conference "Geometry in Odessa 2016"
Detailed study of extended gamma-ray morphology in the vicinity of the Coma cluster with Fermi-LAT
Creators: name: Baghmanyan, Vardan
name: Zargaryan, Davit
name: Aharonian, Felix
name: Yang, Ruizhi
name: Casanova, Sabrina
name: Mackey, Jonathan
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Galaxy clusters can be sources of high-energy (HE) $γ$-ray radiation, due to the efficient acceleration of particles exceeding EeV energies. At present, though, the only candidate for emitting HE $γ$-rays is the Coma cluster, towards which an excess of $γ$-ray emission has been detected by the Fermi Large Area Telescope (LAT). Using $\mathrm{\sim12.3}$ years of \textit{Fermi}-LAT data, we explored the region of the Coma cluster between energies 100 MeV and 1 TeV by detailed spectral and morphological analysis. In the region of the Coma cluster, we detected diffuse gamma-ray emission of energies between 100 MeV and 1 TeV with a 5.4$σ$ extension significance and a 68\% containment radius of $0.82^{+0.10}_{-0.05}$ degrees derived with a 2D homogeneous disk model. The corresponding gamma-ray spectrum extends up to $\sim50$ GeV, with a power-law index of $\mathrm{Γ=2.23\pm0.11}$ and flux of $\mathrm{(3.84\pm0.67)\times10^{-12}\,erg\,cm^{-2}\,s^{-1}}$. Using energy arguments we show that point-like sources such as radiogalaxies and star-forming galaxies are unlikely to explain the emission, and more likely, the emission is produced in the Coma cluster. Besides, we also identified three point-like sources in the region. However, due to the limited statistics of the detection, we could neither exclude nor conclude that the total extended emission is contributed to by these three-point like sources.
description: Submitted in MNRAS
Variable range hopping theory for the nodal gap in strongly underdoped cuprate Bi$_2$Sr$_{2-x}$La$_x$CuO$_{6+δ}$
Creators: name: Chen, Wei-Qiang
name: Zhang, Jun-Qiu
name: Rice, T. M.
name: Zhang, Fu-Chun
Publisher: name: arXiv
Year: 2016
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: Recent angle resolved photoemission spectrascope (ARPES) experiments on strongly underdoped Bi$_2$Sr$_{2-x}$La$_x$CuO$_{6+δ}$ cuprates have reported an unusual gap in the nodal direction. Transport experiments on these cuprates found variable range hopping behavior observed. These cuprates have both electron and hole doping which has led to proposals that this cuprate is analogous to a partially compensated semiconductors. The nodal gap then corresponds to the Efros-Schklovskii(ES) gap in such semiconductors. We calculate the doping dependence and temperature dependence of a ES gap model and find support for an Efros-Schklovskii model.
description: 4 pages, 3 figures
Genetic and physical analysis of the pseudomonas aeruginosa PAO chromosome
Creators: name: O'Hoy., Kim Lyn
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Molecular Dynamics Study on the Role of Ar Ions in the Sputter Deposition of Al Thin Films
Creators: name: Gergs, Tobias
name: Mussenbrock, Thomas
name: Trieschmann, Jan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Molecular dynamics simulations are often used to study sputtering and thin film growth. Compressive stresses in these thin films are generally assumed to be caused by a combination of forward sputtered (peened) built-in particles and entrapped working gas atoms. While the former are assumed to hold a predominant role, the effect of the latter on the interaction dynamics as well as thin film properties are scarcely clarified (concurrent or causative). The inherent overlay of the ion bombardment induced processes render an isolation of their contribution impracticable. In this work, this issue is addressed by comparing the results of two case studies on the sputter deposition of Al thin films in Ar working gas. In the first run Ar atoms are fully retained. In the second run they are artificially neglected, as implanted Ar atoms are assumed to outgas anyhow and not alter the ongoing dynamics significantly. Both case studies have in common that the consecutive impingement of 100 particles (i.e., Ar$^+$ ions, Al atoms) onto Al(001) surfaces for ion energies in the range of 3 eV to 300 eV as well as Al/Ar$^+$ flux ratios from 0 to 1 are considered. The surface interactions are simulated by means of hybrid reactive molecular dynamics/force-biased Monte Carlo simulations and characterized in terms of mass density, Ar concentration, biaxial stress, shear stress, ring statistical connectivity profile, Ar gas porosity, Al vacancy density, and root-mean-squared roughness. Ultimately, implanted Ar atoms are found to form subnanometer sized eventually outgassing clusters for ion energies exceeding 100 eV. They fundamentally govern a variety of surface processes (e.g., forward sputtering/peening) and surface properties (e.g., compressive stresses) in the considered operating regime.
Siamese Networks for Weakly Supervised Human Activity Recognition
Creators: name: Sheng, Taoran
name: Huber, Manfred
Publisher: name: arXiv
Year: 2023
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Deep learning has been successfully applied to human activity recognition. However, training deep neural networks requires explicitly labeled data which is difficult to acquire. In this paper, we present a model with multiple siamese networks that are trained by using only the information about the similarity between pairs of data samples without knowing the explicit labels. The trained model maps the activity data samples into fixed size representation vectors such that the distance between the vectors in the representation space approximates the similarity of the data samples in the input space. Thus, the trained model can work as a metric for a wide range of different clustering algorithms. The training process minimizes a similarity loss function that forces the distance metric to be small for pairs of samples from the same kind of activity, and large for pairs of samples from different kinds of activities. We evaluate the model on three datasets to verify its effectiveness in segmentation and recognition of continuous human activity sequences.
Chiral corrections to the masses of the doubly heavy baryons
Creators: name: Tong, Hao-Ze
name: Li, Hao-Song
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We study the masses of the doubly bottom baryons and the charmed bottom baryons up to $\mathcal{O}\left(p^{3}\right)$ in heavy baryon chiral perturbation theory. For the low-energy constants, $g_{A}$ was determined in the quark model, and we fit to the lattice QCD data to determine $m_{0}$, $c_{1}$, and $c_{7}$. We show the numerical results up to $\mathcal{O}\left(p^{3}\right)$, and our results are compared with other theoretical results.
RGB-D microtopography: A comprehensive dataset for surface analysis and characterization techniques
Creators: name: Siemens, Stefan
name: Kästner, Markus
name: Reithmeier, Eduard
Publisher: name: Amsterdam [u.a.] : Elsevier
Year: 2023
Subjects: subject: Computer vision
subject: Confocal laser scanning microscopy
subject: Microtopography
subject: Optical metrology
subject: Surface classification
subject: Surface roughness
subject: Dewey Decimal Classification::500 | Naturwissenschaften::570 | Biowissenschaften, Biologie

description: The dataset presented contains microtopographies of various materials and processing methods. These microtopographies were measured using a Confocal Laser Scanning Microscope, which provides RGB-D data. This means the dataset comprises accurate height maps for each measurement and microscopic RGB images. The height maps can be used to quantify and characterize small-scale surface features such as pits and grooves, surface roughness, texture direction, and surface anisotropy. These features can significantly impact a material's properties and behavior, making them essential in many fields, such as biomaterials and tribology. Additionally, the dataset contains metadata about the specimens and the measurement conditions, such as material, surface processing method, roughness, and optical magnification. Therefore, this dataset provides an opportunity to develop and test surface classification and characterization algorithms.
Parameterised population models of transient non-Gaussian noise in the LIGO gravitational-wave detectors
Creators: name: Ashton, Gregory
name: Thiele, Sarah
name: Lecoeuche, Yannick
name: McIver, Jess
name: Nuttall, Laura K
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The two interferometric LIGO gravitational-wave observatories provide the most sensitive data to date to study the gravitational-wave Universe. As part of a global network, they have just completed their third observing run in which they observed many tens of signals from merging compact binary systems. It has long been known that a limiting factor in identifying transient gravitational-wave signals is the presence of transient non-Gaussian noise, which reduce the ability of astrophysical searches to detect signals confidently. Significant efforts are taken to identify and mitigate this noise at the source, but its presence persists, leading to the need for software solutions. Taking a set of transient noise artefacts categorised by the GravitySpy software during the O3a observing era, we produce parameterised population models of the noise projected into the space of astrophysical model parameters of merging binary systems. We compare the inferred population properties of transient noise artefacts with observed astrophysical systems from the GWTC2.1 catalogue. We find that while the population of astrophysical systems tend to have near equal masses and moderate spins, transient noise artefacts are typically characterised by extreme mass ratios and large spins. This work provides a new method to calculate the consistency of an observed candidate with a given class of noise artefacts. This approach could be used in assessing the consistency of candidates found by astrophysical searches (i.e. determining if they are consistent with a known glitch class). Furthermore, the approach could be incorporated into astrophysical searches directly, potentially improving the reach of the detectors, though only a detailed study would verify this.
description: 15 pages, submitted to Phys. Rev. D
Designing a clinical decision support system (CDSS) for personalised medicine in Parkinson's Disease
Creators: name: Gatsios, Dimitrios
name: Rigas, Georgios
name: Konitsiotis, Spyridon
Publisher: name: Zenodo
Year: 2021
Subjects: Parkinson's disease
mhealth
CDSS

description: Objectives: to design an EHR-agnostic, CDSS for personalized medicine approaches in the management of Parkinson's disease (PD) that complements symptomatic treatment by adopting a holistic strategy, as well as passive (with IoT devices) and active (with diaries) patient monitoring. Methods: the design is based on the recent literature on CDSS, the findings of previous studies evaluating mhealth for the management of Parkinson’s and the analysis of user needs that defined shared decision making, flexibility that accounts for variation among clinicians and monitoring of information integration from multiple sources as the main design principles. Results: PRIME is a traditional CDSS in the sense that it is comprised of interoperable, FHIR compliant, software designed to be a direct aid to clinical-decision making; the characteristics of an individual patient derived from EHRs, IoT devices such as Apple iWatch and diary data, and processed with machine learning methods, are matched to a computerized clinical knowledge base (derived from Clinical Guidelines, drug and gene interaction DBs and the PD ontology) and patient-specific assessments or recommendations are then presented to the clinician for a decision through a dedicated, user interface. Conclusions: PRIME which is co‐financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE – INNOVATE (project code:Τ2EDK- 05199) will be an evidenced-based CDSS capable of leveraging data and observations otherwise unobtainable or uninterpretable by humans and produce appropriate alerts.
A computationally efficient autoregressive method for generating phase screens with frozen flow and turbulence in optical simulations
Creators: name: Srinath, Sriakr
name: Poyneer, Lisa A.
name: Rudy, Alexander R.
name: Ammons, S. Mark
Publisher: name: arXiv
Year: 2015
Subjects: subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: FOS: Physical sciences

description: We present a sample-based, autoregressive (AR) method for the generation and time evolution of atmospheric phase screens that is computationally efficient and uses a single parameter per Fourier mode to vary the power contained in the frozen flow and stochastic components. We address limitations of Fourier-based methods such as screen periodicity and low spatial frequency power content. Comparisons of adaptive optics (AO) simulator performance when fed AR phase screens and translating phase screens reveal significantly elevated residual closed-loop temporal power for small increases in added stochastic content at each time step, thus displaying the importance of properly modeling atmospheric "boiling". We present preliminary evidence that our model fits to AO telemetry are better reflections of real conditions than the pure frozen flow assumption.
description: 15 pages, 6 figures, accepted to Optics Express
Statistics from Unlocking the symmetric transfer of irrelevant information: gene-environment interplay and enhanced interhemispheric cross-talk
Creators: name: Chiandetti, Cinzia
name: Dissegna, Andrea
name: Rogers, Lesley J.
name: Turatto, Massimo
Publisher: name: The Royal Society
Year: 2023
Subjects: Neurosciences not elsewhere classified
Animal Behaviour

description: Statistics
The biological and physicochemical characterization of anti-obesity peptides derived from human growth hormones
Creators: name: Ogru., Esra
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Coupling rare event algorithms with data-based learned committor functions using the analogue Markov chain
Creators: name: Lucente, Dario
name: Rolland, Joran
name: Herbert, Corentin
name: Bouchet, Freddy
Publisher: name: arXiv
Year: 2021
Subjects: subject: Dynamical Systems (math.DS)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Computational Physics (physics.comp-ph)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Rare events play a crucial role in many physics, chemistry, and biology phenomena, when they change the structure of the system, for instance in the case of multistability, or when they have a huge impact. Rare event algorithms have been devised to simulate them efficiently, avoiding the computation of long periods of typical fluctuations. We consider here the family of splitting or cloning algorithms, which are versatile and specifically suited for far-from-equilibrium dynamics. To be efficient, these algorithms need to use a smart score function during the selection stage. Committor functions are the optimal score functions. In this work we propose a new approach, based on the analogue Markov chain, for a data-based learning of approximate committor functions. We demonstrate that such learned committor functions are extremely efficient score functions when used with the Adaptive Multilevel Splitting algorithm. We illustrate our approach for a gradient dynamics in a three-well potential, and for the Charney-DeVore model, which is a paradigmatic toy model of multistability for atmospheric dynamics. For these two dynamics, we show that having observed a few transitions is enough to have a very efficient data-based score function for the rare event algorithm. This new approach is promising for use for complex dynamics: the rare events can be simulated with a minimal prior knowledge and the results are much more precise than those obtained with a user-designed score function.
Oxidation kinetics and non-Marcusian charge transfer in dimensionally confined semiconductors
Creators: name: Xu, Ning
name: Shi, Li
name: Pei, Xudong
name: Zhang, Weiyang
name: Chen, Jian
name: Han, Zheng
name: Samorì, Paolo
name: Wang, Jinlan
name: Wang, Peng
name: Shi, Yi
name: Li, Songlin
Publisher: name: arXiv
Year: 2023
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Electrochemical reactions represent essential processes in fundamental chemistry that foster a wide range of applications. Although most electrochemical reactions in bulk substances can be well described by the classical Marcus-Gerischer charge transfer theory, the realistic reaction character and mechanism in dimensionally confined systems remain unknown. Here, we report the multiparametric survey on the kinetics of lateral photooxidation in structurally identical WS2 and MoS2 monolayers, where electrochemical oxidation occurs at the atomically thin monolayer edges. The oxidation rate is correlated quantitatively with various crystallographic and environmental parameters, including the density of reactive sites, humidity, temperature, and illumination fluence. In particular, we observe distinctive reaction barriers of 1.4 and 0.9 eV for the two structurally identical semiconductors and uncover an unusual non-Marcusian charge transfer mechanism in these dimensionally confined monolayers due to the limit in reactant supplies. A scenario of band bending is proposed to explain the discrepancy in reaction barriers. These results add important knowledge into the fundamental electrochemical reaction theory in low-dimensional systems.
description: 20 pages, 4 figures
Enhancement on Laser Intensity and Proton Acceleration Using Micro-tube Plasma Lens Targets
Creators: name: Snyder, Joseph
name: Ji, Liangliang
name: Akli, Kramer
Publisher: name: arXiv
Year: 2016
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: A hollow cylindrical micron-scale structure is proposed to enhance and manipulate the laser plasma interaction. It is shown through 3-D particle-in-cell simulations that the incident laser pulse intensity is enhanced within the tube. A detailed study of the intensification optimizes the tube dimensions and provides a characterization of the in-tube intensity. By coupling the micro-tube plasma lens to a traditional flat interface, we show an increase in on-target intensity. We detail proton energy enhancement as a potential application of the micro-tube plasma lens target, where the tube structure acts to focus the light and provide additional electrons that enhance the accelerating sheath field.
description: 13 pages, 5 figures
Stress accumulation around ice in a temperature gradient
Creators: name: Gerber, Dominic
name: Wilen, Lawrence A.
name: Poydenot, Florian
name: Dufresne, Eric R.
name: Style, Robert W.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: When materials freeze, they often undergo damage due to ice growth. Although this damage is commonly ascribed to the volumetric expansion of water upon freezing, it is usually driven by suction of water towards growing ice crystals. The freezing of this additional water can cause a large build up of stress. Here, we study this process by producing a stable ice/water interface in a controlled temperature gradient, and measuring the deformation of the confining boundary. Analysis of the deformation field reveals stresses applied to the boundary with $\mathcal{O}(μ\mathrm{m})$ resolution. Globally, stresses increase steadily over time as liquid water is transported to more deeply undercooled regions. Locally, stresses increase until ice growth is stalled by the confining stresses. In accordance with the Clapeyron equation, the local limiting stress is proportional to the local undercooling. These results are closely connected to the crystallization pressure for growing crystals and condensation pressure during liquid-liquid phase separation.
Androgen regulation of rat spermiogenesis
Creators: name: O'Donnell., Liza
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
title: Ανάλυση και επεξεργασία ιστορικών χαρτών με χρήση τεχνικών βαθιάς μάθησης
title: Historical maps processing and analysis using deep learning techniques
titleType: AlternativeTitle
Creators: name: Μαλαχία, Σταυρούλα-Θεοφανώ
Publisher: name: Πανεπιστήμιο Δυτικής Αττικής
Year: 2023
Subjects: Εργαλείο επισήμανσης
Annotation tool
Βαθιά μάθηση
Νευρωνικά δίκτυα
Ιστορικοί χάρτες
Αναγνώριση γεωγραφικών χαρακτηριστικών
Συνελικτικά νευρωνικά δίκτυα
Αναγνώριση αντικειμένων

description: Οι ιστορικοί τοπογραφικοί χάρτες είναι πηγή πολύτιμων πληροφοριών. Παρέχουν πληροφορίες σχετικά με το γεωγραφικό περιβάλλον και τις ανθρώπινες δραστηριότητες ενός συγκεκριμένου χώρου και χρόνου. Λόγω της χαμηλής γραφικής ποιότητας που χαρακτηρίζει τους παλιούς χάρτες, η εξαγωγή πληροφορίας από αυτούς και μάλιστα με αυτοματοποιημένο τρόπο είναι μια απαιτητική διαδικασία. Η παρούσα διπλωματική εργασία αφορά την ανάλυση και επεξεργασία ιστορικών χαρτών με χρήση τεχνικών βαθιάς μάθησης. Συγκεκριμένα, σκοπός ήταν ο αυτόματος προσδιορισμός των περιγραμμάτων και των αποτυπωμάτων των κτιρίων σε ιστορικούς πολεοδομικούς χάρτες. Για τον σκοπό αυτό χρησιμοποιήθηκε ένα βαθύ νευρωνικό δίκτυο το οποίο εκπαιδεύτηκε με διάφορα δεδομένα εισόδου προκειμένου να εξετασθεί η αποτελεσματικότητά του στον εντοπισμό των κτιρίων. Η εκπαίδευση του νευρωνικού δικτύου βασίστηκε σε ένα σύνολο δεδομένων στα οποία είχαν προηγουμένως επισημανθεί τα κτίρια πάνω στην τοπογραφική εικόνα (ground truth). Για να διευκολυνθεί η διαδικασία επισήμανσης των κτιρίων αναφοράς, αναπτύχθηκε επιπλέον στα πλαίσια της παρούσας εργασίας ένα εργαλείο επισήμανσης (annotation tool) σε ψηφιακές εικόνες προσαρμοσμένο ειδικά για την επισήμανση κτιρίων σε τοπογραφικές εικόνες. Στη συνέχεια πραγματοποιήθηκε η εκπαίδευση και η αξιολόγηση ενός συνελικτικού νευρωνικού δικτύου αρχιτεκτονικής U-Net. Η αποτίμηση του δικτύου πραγματοποιήθηκε με 12 σετ δεδομένων. Αυτά διαφέρουν μεταξύ τους ως προς τον τρόπο δειγματοληψίας με πλεγματική και τυχαία μορφή και ως προς την επιθυμητή έξοδο του δικτύου που αφορούσε τα περιγράμματα όσο και το συνολικό αποτύπωμα των κτιρίων. Ο προσδιορισμός του περιγράμματος των κτιρίων μέσω του αποτυπώματός τους βασίστηκε σε μορφολογικές πράξεις. Η αποτελεσματικότητα του προτεινόμενου δικτύου βαθιάς μάθησης αποτιμήθηκε μέσω διαφόρων μετρικών και αναδείχθηκαν εκείνες οι παράμετροι του συστήματος που δίνουν τα καλύτερα αποτελέσματα στον προσδιορισμό του περιγράμματος και του αποτυπώματος των κτιρίων στον τοπογραφικό χάρτη.
Kalman Filter Tracking on Parallel Architectures
Creators: name: Cerati, Giuseppe
name: Elmer, Peter
name: Krutelyov, Slava
name: Lantz, Steven
name: Lefebvre, Matthieu
name: McDermott, Kevin
name: Riley, Daniel
name: Tadel, Matevz
name: Wittich, Peter
name: Wuerthwein, Frank
name: Yagil, Avi
Publisher: name: arXiv
Year: 2016
Subjects: subject: Computational Physics (physics.comp-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: Power density constraints are limiting the performance improvements of modern CPUs. To address this we have seen the introduction of lower-power, multi-core processors such as GPGPU, ARM and Intel MIC. To stay within the power density limits but still obtain Moore's Law performance/price gains, it will be necessary to parallelize algorithms to exploit larger numbers of lightweight cores and specialized functions like large vector units. Track finding and fitting is one of the most computationally challenging problems for event reconstruction in particle physics. At the High-Luminosity Large Hadron Collider (HL-LHC), for example, this will be by far the dominant problem. The need for greater parallelism has driven investigations of very different track finding techniques such as Cellular Automata or Hough Transforms. The most common track finding techniques in use today, however, are those based on the Kalman Filter. Significant experience has been accumulated with these techniques on real tracking detector systems, both in the trigger and offline. They are known to provide high physics performance, are robust, and are in use today at the LHC. We report on porting these algorithms to new parallel architectures. Our previous investigations showed that, using optimized data structures, track fitting with a Kalman Filter can achieve large speedups both with Intel Xeon and Xeon Phi. Additionally, we have previously shown first attempts at track building with some speedup. We report here our progress towards an end-to-end track reconstruction algorithm fully exploiting vectorization and parallelization techniques in a simplified experimental environment.
description: Submitted to proceedings of Connecting The Dots 2016 (CTD2016), Vienna. arXiv admin note: text overlap with arXiv:1601.08245
Superconducting-contact-induced resistance-anomalies in the 3D topological insulator Bi2Te3
Creators: name: Wang, Zhuo
name: Ye, Tianyu
name: Mani, R. G.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: This study examines the magnetotransport response observed in flakes of the 3D topological insulator (TI) Bi2Te3, including indium superconducting electrodes, and demonstrates two critical transitions in the magnetoresistive response with decreasing temperatures below T = 3.4K. The first transition is attributed to superconductivity in the indium electrodes, and the second transition, with a critical field exceeding the transition field of indium, is attributed to a proximity effect at the 2D planar interface of this hybrid TI/superconductor structure.
description: 13 pages, 4 figures
Proximity-enhanced valley Zeeman splitting at the WS2/graphene interface
Creators: name: Faria Junior, Paulo E.
name: Naimer, Thomas
name: McCreary, Kathleen M.
name: Jonker, Berend T.
name: Finley, Jonathan J.
name: Crooker, Scott A.
name: Fabian, Jaroslav
name: Stier, Andreas V.
Publisher: name: Universität Regensburg
Year: 2023
Subjects: subject: TMDs, graphene, valley Zeeman effect, proximity
subject: 530 Physik

description: The valley Zeeman physics of excitons in monolayer transition metal dichalcogenides provides valuable insight into the spin and orbital degrees of freedom inherent to these materials. Being atomically-thin materials, these degrees of freedom can be influenced by the presence of adjacent layers, due to proximity interactions that arise from wave function overlap across the 2D interface. Here, we report 60 T magnetoreflection spectroscopy of the A- and B- excitons in monolayer WS2, systematically encapsulated in monolayer graphene. While the observed variations of the valley Zeeman effect for the A- exciton are qualitatively in accord with expectations from the bandgap reduction and modification of the exciton binding energy due to the graphene-induced dielectric screening, the valley Zeeman effect for the B- exciton behaves markedly different. We investigate prototypical WS2/graphene stacks employing first-principles calculations and find that the lower conduction band of WS2 at the $K/K^{^{\prime}}$ valleys (the $\mathrm{CB}^-$ band) is strongly influenced by the graphene layer on the orbital level. Specifically, our detailed microscopic analysis reveals that the conduction band at the Q point of WS2 mediates the coupling between $\mathrm{CB}^-$ and graphene due to resonant energy conditions and strong coupling to the Dirac cone. This leads to variations in the valley Zeeman physics of the B- exciton, consistent with the experimental observations. Our results therefore expand the consequences of proximity effects in multilayer semiconductor stacks, showing that wave function hybridization can be a multi-step energetically resonant process, with different bands mediating the interlayer interactions. Such effects can be further exploited to resonantly engineer the spin-valley degrees of freedom in van der Waals and moiré heterostructures.