cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A Strange Star Scenario for the Formation of Eccentric Millisecond Pulsar PSR J1946+3417
Creators: name: Jiang, L.
name: Wang, Na
name: Chen, Wen-Cong
name: Liu, Wei-Min
name: Leng, Chun-wei
name: Yuan, Jian-Ping
name: Qian, Xiang-Li
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: PSR J$1946+3417$ is a millisecond pulsar (MSP) with a spin period $P\simeq3.17\rm~ms$. Harbored in a binary with an orbital period $P_{\rm b}\simeq27$ days, the MSP is accompanied by a white dwarf (WD). The masses of the MSP and the WD were determined to be $1.83\rm~M_\odot$ and $0.266\rm~M_\odot$, respectively. Specially, its orbital eccentricity is $e\simeq0.134$, which is challenging the recycling model of MSPs. Assuming that the neutron star in a binary may collapse to a strange star when its mass reaches a critical limit, we propose a phase transition (PT) scenario to account for the origin of the system. The sudden mass loss and the kick induced by asymmetric collapse during the PT may result in the orbital eccentricity. If the PT event takes place after the mass transfer ceases, the eccentric orbit can not be re-circularized in the Hubble time. Aiming at the masses of both components, we simulate the evolution of the progenitor of PSR J$1946+3417$ via \texttt{MESA}. The simulations show that a NS / main sequence star binary with initial masses of $1.4+1.6\rm~M_\odot$ in an initial orbit of 2.59 days will evolve into a binary consisting of a $2.0\rm~M_\odot$ MSP and a $0.27\rm~M_\odot$ WD in an orbit of $\sim21.5$ days. Assuming that the gravitational mass loss fraction during PT is $10\%$, we simulate the effect of PT via the kick program of \texttt{BSE} with a velocity of $σ_{\rm PT}=60~{\rm km~s}^{-1}$. The results show that the PT scenario can reproduce the observed orbital period and eccentricity with higher probability then other values.
description: accepted to be published on RAA
Quantum measurement with recycled photons
Creators: name: Buks, Eyal
name: Nayak, Banoj Kumar
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study a device composed of an optical interferometer integrated with a ferri-magnetic sphere resonator (FSR). Magneto-optic coupling can be employed in such a device to manipulate entanglement between optical pulses that are injected into the interferometer and the FSR. The device is designed to allow measuring the lifetime of such macroscopic entangled states in the region where environmental decoherence is negligibly small. This is achieved by recycling the photons interacting with the FSR in order to eliminate the entanglement before a pulse exits the interferometer. The proposed experiment may provide some insight on the quantum to classical transition associated with a measurement process.
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models
Creators: name: Fresca, Stefania
name: Manzoni, Andrea
Publisher: name: arXiv
Year: 2021
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Machine Learning (cs.LG)
subject: Numerical Analysis (math.NA)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Simulating fluid flows in different virtual scenarios is of key importance in engineering applications. However, high-fidelity, full-order models relying, e.g., on the finite element method, are unaffordable whenever fluid flows must be simulated in almost real-time. Reduced order models (ROMs) relying, e.g., on proper orthogonal decomposition (POD) provide reliable approximations to parameter-dependent fluid dynamics problems in rapid times. However, they might require expensive hyper-reduction strategies for handling parameterized nonlinear terms, and enriched reduced spaces (or Petrov-Galerkin projections) if a mixed velocity-pressure formulation is considered, possibly hampering the evaluation of reliable solutions in real-time. Dealing with fluid-structure interactions entails even higher difficulties. The proposed deep learning (DL)-based ROMs overcome all these limitations by learning in a non-intrusive way both the nonlinear trial manifold and the reduced dynamics. To do so, they rely on deep neural networks, after performing a former dimensionality reduction through POD enhancing their training times substantially. The resulting POD-DL-ROMs are shown to provide accurate results in almost real-time for the flow around a cylinder benchmark, the fluid-structure interaction between an elastic beam attached to a fixed, rigid block and a laminar incompressible flow, and the blood flow in a cerebral aneurysm.
description: 22 pages
Coarse-graining of bubbling geometries and the fuzzball conjecture
Creators: name: Ogawa, Noriaki
name: Terashima, Seiji
Publisher: name: arXiv
Year: 2008
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In the LLM bubbling geometries, we compute the entropies of black holes and estimate their "horizon" sizes from the fuzzball conjecture, based on coarse-graining on the gravity side. The differences of black hole microstates cannot be seen by classical observations. Conversely, by counting the possible deformations of the geometry which are not classically detectable, we can calculate the entropy. We carry out this method on the black holes of the LLM bubbling geometries, such as the superstar, and obtain the same result as was derived by coarse-graining directly on the CFT (fermion) side. Second, by application of this method, we can estimate the "horizon" sizes of those black holes, based on the fuzzball conjecture. The Bekenstein-Hawking entropy computed from this "horizon" agrees with that microscopic entropy above. This result supports the fuzzball conjecture.
description: 17 pages, LaTeX; v2: minor corrections, references added, v3: minor corrections, version to appear in Phys. Rev. D
Cryptanalyzing two image encryption algorithms based on a first-order time-delay system
Creators: name: Liu, Sheng
name: Li, Chengqing
name: Hu, Qiao
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences
subject: 68M25

description: Security is a key problem for the transmission, interchange and storage process of multimedia systems and applications. In 2018, M. Li et al. proposed in-depth security analysis on an image encryption algorithm based on a first-order time-delay system (IEATD) and gave a specific chosen-plaintext attack on it. Moreover, an enhanced version called as IEACD was designed to fix the reported security defects. This paper analyzes the essential structures of the two algorithms and evaluates their real security performances: 1) no efficient nonlinear operations are adopted to assure the sensibility of keystream; 2) the equivalent secret key of IEATD can be efficiently recovered from one known plain-image and the corresponding cipher-image; 3) IEACD can still be efficiently cracked with a chosen-plaintext attack. Both rigorous theoretical analyses and detailed experimental results are provided to demonstrate effectiveness of the advanced cryptanalytic methods.
description: 10 pages, 5 figures, 2 tables
Important Codes used in Elif Turhan's Master's Thesis
Creators: name: Turhan, Elif
Publisher: name: Zenodo
Year: 2021

description: Here you can find important codes to observe the data process. The files are listed below according to their related areas: The python files to run the electricity grid model for varying scenarios: "co2_mcp_analyses.py" "mcp_co2_for_mtress.py" "scenario_model.py" Enegy system operation optimisation related file: "time_slicing_visual.py" Sensitivity Analysis related files:"sensitivity_analysis.py" "rank_order_mc_results_seaborn_visual.py" "rank_order_mc_results_null_hypothesis.py" Monte Carlo simulation related files: "random_scenarios_generation.py" "monte_carlo_chp_simulation.py" "monte_carlo_results_visual.py" "required_number_of_scenarious_mc.py"
Uniform limit theorems for wavelet density estimators
Creators: name: Giné, Evarist
name: Nickl, Richard
Publisher: name: arXiv
Year: 2008
Subjects: subject: Statistics Theory (math.ST)
subject: Probability (math.PR)
subject: Methodology (stat.ME)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: 62G07 (Primary), 60F05, 60F15, 60F17 (Secondary)

description: Let $p_n(y)=\sum_k\hatα_kϕ(y-k)+\sum_{l=0}^{j_n-1}\sum_k\hat β_{lk}2^{l/2}ψ(2^ly-k)$ be the linear wavelet density estimator, where $ϕ$, $ψ$ are a father and a mother wavelet (with compact support), $\hatα_k$, $\hatβ_{lk}$ are the empirical wavelet coefficients based on an i.i.d. sample of random variables distributed according to a density $p_0$ on $\mathbb{R}$, and $j_n\in\mathbb{Z}$, $j_n\nearrow\infty$. Several uniform limit theorems are proved: First, the almost sure rate of convergence of $\sup_{y\in\mathbb{R}}|p_n(y)-Ep_n(y)|$ is obtained, and a law of the logarithm for a suitably scaled version of this quantity is established. This implies that $\sup_{y\in\mathbb{R}}|p_n(y)-p_0(y)|$ attains the optimal almost sure rate of convergence for estimating $p_0$, if $j_n$ is suitably chosen. Second, a uniform central limit theorem as well as strong invariance principles for the distribution function of $p_n$, that is, for the stochastic processes $\sqrt{n}(F_n ^W(s)-F(s))=\sqrt{n}\int_{-\infty}^s(p_n-p_0),s\in\mathbb{R}$, are proved; and more generally, uniform central limit theorems for the processes $\sqrt{n}\int(p_n-p_0)f$, $f\in\mathcal{F}$, for other Donsker classes $\mathcal{F}$ of interest are considered. As a statistical application, it is shown that essentially the same limit theorems can be obtained for the hard thresholding wavelet estimator introduced by Donoho et al. [Ann. Statist. 24 (1996) 508--539].
description: Published in at http://dx.doi.org/10.1214/08-AOP447 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
A biophysical model of prokaryotic diversity in geothermal hot springs
Creators: name: Klales, Anna
name: Duncan, James
name: Nett, Elizabeth Janus
name: Kane, Suzanne Amador
Publisher: name: arXiv
Year: 2008
Subjects: subject: Biological Physics (physics.bio-ph)
subject: Populations and Evolution (q-bio.PE)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: Recent field investigations of photosynthetic bacteria living in geothermal hot spring environments have revealed surprisingly complex ecosystems, with an unexpected level of genetic diversity. One case of particular interest involves the distribution along hot spring thermal gradients of genetically distinct bacterial strains that differ in their preferred temperatures for reproduction and photosynthesis. In such systems, a single variable, temperature, defines the relevant environmental variation. In spite of this, each region along the thermal gradient exhibits multiple strains of photosynthetic bacteria adapted to several distinct thermal optima, rather than the expected single thermal strain adapted to the local environmental temperature. Here we analyze microbiology data from several ecological studies to show that the thermal distribution field data exhibit several universal features independent of location and specific bacterial strain. These include the distribution of optimal temperatures of different thermal strains and the functional dependence of the net population density on temperature. Further, we present a simple population dynamics model of these systems that is highly constrained by biophysical data and by physical features of the environment. This model can explain in detail the observed diversity of different strains of the photosynthetic bacteria. It also reproduces the observed thermal population distributions, as well as certain features of population dynamics observed in laboratory studies of the same organisms.
Meta-Stable Brane Configurations by Adding an Orientifold-Plane to Giveon-Kutasov
Creators: name: Ahn, Changhyun
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In hep-th/0703135, they have found the type IIA intersecting brane configuration where there exist three NS5-branes, D4-branes and anti-D4-branes. By analyzing the gravitational interaction for the D4-branes in the background of the NS5-branes, the phase structures in different regions of the parameter space were studied in the context of classical string theory. In this paper, by adding the orientifold 4-plane and 6-plane to the above brane configuration, we describe the intersecting brane configurations of type IIA string theory corresponding to the meta-stable nonsupersymmetric vacua of these gauge theories.
description: 21 pp, 6 figures; reduced bytes of figures, DBI action analysis added and to appear in JHEP
The halo light cone catalogues of \Abacus{AbacusSummit}
Creators: name: Hadzhiyska, Boryana
name: Garrison, Lehman H.
name: Eisenstein, Daniel
name: Bose, Sownak
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We describe a method for generating halo catalogues on the light cone using the \Abacus{AbacusSummit} suite of $N$-body simulations. The main application of these catalogues is the construction of realistic mock galaxy catalogues and weak lensing maps on the sky. Our algorithm associates the haloes from a set of coarsely-spaced snapshots with their positions at the time of light-cone crossing by matching halo particles to on-the-fly light cone particles. It then records the halo and particle information into an easily accessible product, which we call the \Abacus{AbacusSummit} halo light cone catalogues. Our recommended use of this product is in the halo mass regime of $M_{\rm halo} > 2.1 \times 10^{11} \ M_\odot/h$ for the \texttt{base} resolution simulations, i.e. haloes containing at least 100 particles, where the interpolated halo properties are most reliable. To test the validity of the obtained catalogues, we perform various visual inspections and consistency checks. In particular, we construct galaxy mock catalogues of emission-line galaxies (ELGs) at $z \sim 1$ by adopting a modified version of the \Abacus{AbacusHOD} script, which builds on the standard halo occupation distribution (HOD) method by including various extensions. We find that the multipoles of the auto-correlation function are consistent with the predictions from the full-box snapshot, implicitly validating our algorithm. In addition, we compute and output CMB convergence maps and find that the auto- and cross-power spectrum agrees with the theoretical prediction at the subpercent level. Halo light cone catalogues for 25 \texttt{base} and 2 \texttt{huge} simulations at the fiducial cosmology is available at DOI:\href{https://www.doi.org/10.13139/OLCF/1825069}{10.13139/OLCF/1825069}
description: 16 pages, 11 figures, accepted by MNRAS
Using CMS Open Data in research -- challenges and directions
Creators: name: Lassila-Perini, Kati
name: Lange, Clemens
name: Jarrin, Edgar Carrera
name: Bellis, Matthew
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The CMS experiment at CERN has released research-quality data from particle collisions at the LHC since 2014. Almost all data from the first LHC run in 2010-2012 with the corresponding simulated samples are now in the public domain, and several scientific studies have been performed using these data. This paper summarizes the available data and tools, reviews the challenges in using them in research, and discusses measures to improve their usability.
description: 12 pages, 1 figure, proceedings of the 25th International Conference on Computing in High Energy and Nuclear Physics (vCHEP 2021)
Crise nas Representações das Crises Humanitárias: possibilidades de contribuição do ensaísmo
Creators: name: Campos, Rafael
Publisher: name: Labfront/UEMG
Year: 2023

description: Janeiro de 2023. Imagens do genocídio Yanomami correm o mundo. Esta é mais uma das crises que levantam questões representativas da sociedade brasileira, entre elas a produção de alteridade em relação aos povos originários. Partindo das  considerações de Trin Minh-ha (1990), Arthur Omar (1997) e Didi-Huberman (2014) acerca das consequências de representações artísticas totalizantes, propomos uma reflexão sobre as possibilidades de contribuição da linguagem ensaística como definida por Adorno (2003) e Lukács (1974), na construção de narrativas e memórias que questionem os modos de representação convencionais e auxiliem na produção de alteridade em relaçãos aos povos e culturas marginalizados pela sociedade hegemônica.
title: Analysis of physiological signals using machine learning methods
Creators: name: Oroojeni Mohamad Javad, Hooman
Publisher: name: Goldsmiths, University of London
Year: 2021

description: Technological advances in data collection enable scientists to suggest novel approaches, such as Machine Learning algorithms, to process and make sense of this information. However, during this process of collection, data loss and damage can occur for reasons such as faulty device sensors or miscommunication. In the context of time-series data such as multi-channel bio-signals, there is a possibility of losing a whole channel. In such cases, existing research suggests imputing the missing parts when the majority of data is available. One way of understanding and classifying complex signals is by using deep neural networks. The hyper-parameters of such models have been optimised using the process of back propagation. Over time, improvements have been suggested to enhance this algorithm. However, an essential drawback of the back propagation can be the sensitivity to noisy data. This thesis proposes two novel approaches to address the missing data challenge and back propagation drawbacks: First, suggesting a gradient-free model in order to discover the optimal hyper-parameters of a deep neural network. The complexity of deep networks and high-dimensional optimisation parameters presents challenges to find a suitable network structure and hyper-parameter configuration. This thesis proposes the use of a minimalist swarm optimiser, Dispersive Flies Optimisation(DFO), to enable the selected model to achieve better results in comparison with the traditional back propagation algorithm in certain conditions such as limited number of training samples. The DFO algorithm offers a robust search process for finding and determining the hyper-parameter configurations. Second, imputing whole missing bio-signals within a multi-channel sample. This approach comprises two experiments, namely the two-signal and five-signal imputation models. The first experiment attempts to implement and evaluate the performance of a model mapping bio-signals from A toB and vice versa. Conceptually, this is an extension to transfer learning using CycleGenerative Adversarial Networks (CycleGANs). The second experiment attempts to suggest a mechanism imputing missing signals in instances where multiple data channels are available for each sample. The capability to map to a target signal through multiple source domains achieves a more accurate estimate for the target domain. The results of the experiments performed indicate that in certain circumstances, such as having a limited number of samples, finding the optimal hyper-parameters of a neural network using gradient-free algorithms outperforms traditional gradient-based algorithms, leading to more accurate classification results. In addition, Generative Adversarial Networks could be used to impute the missing data channels in multi-channel bio-signals, and the generated data used for further analysis and classification tasks.
Vom Klima zum Wandel - Mit Code einen Blick in die Zukunft werfen
Creators: name: Frick, Claudia
Publisher: name: Zenodo
Year: 2019
Subjects: Klimawandel
Fridays For Future

description: Mit #FridaysForFuture engagieren sich Jugendliche für die Zukunft unseres Planeten. Generationen von Menschen vor ihnen haben zu wenig oder nichts für den Schutz des Klimas getan, dabei wissen wir schon lange, dass dessen Zukunft düster aussieht. Dieser Vortrag beleuchtet woher wir das wissen, wie Computermodelle voller Quellcode und Physik zur Vorhersage von Wetter und Klima funktionieren und was sie uns sagen. Das Zielpublikum sind programmierbegeisterte Jugendliche zwischen 12 und 18 Jahren.
Η εμφάνιση του τραμ στην Ελλάδα της Μπελ Επόκ: Το «ξεχασμένο» τραμ της Καλαμάτας (1910- 1940)
Creators: name: Μπελογιάννη, Γεωργία
Publisher: name: Πανεπιστήμιο Πελοποννήσου
Year: 2024
Subjects: subject: Τραμ -- Ελλάδα – Καλαμάτα -- Ιστορία
subject: Αστικές μεταφορές -- Ελλάδα – Καλαμάτα -- Ιστορία
subject: Πόλεις και κωμοπόλεις -- Ελλάδα -- Καλαμάτα -- Ανάπτυξη --Ιστορία
subject: Τραμ
subject: Αστική ανάπτυξη
subject: Καλαμάτα
subject: Ντουάνα
subject: Μπελ Επόκ
subject: Ηλεκτροκίνητο τραμ
subject: Tram
subject: Urban development
subject: Kalamata
subject: Duana
subject: Belle Epoque
subject: Electric tram

description: Το τραμ αναπτύχθηκε στα τέλη του 19ου αιώνα και η συμβολή του υπήρξε σημαντική στην αστική και οικονομική ανάπτυξη των πόλεων που το υιοθέτησαν ως συγκοινωνιακό μέσο. Στην Ελλάδα έκανε την εμφάνισή του το 1882 στην Αθήνα και αργότερα στη Θεσσαλονίκη, στον Βόλο, στην Πάτρα, στο Καρλόβασι Σάμου και στην Καλαμάτα. Στην Καλαμάτα της «Μπελ Επόκ» η παρουσία του υπήρξε αδήριτη ανάγκη, για να αποκτήσει «γέφυρα» επικοινωνίας το κέντρο της με το λιμάνι, το οποίο αποτέλεσε οικονομικό, εμπορικό και ψυχαγωγικό κέντρο για τους ντόπιους. Έπειτα από πολλές προσπάθειες, το τραμ ξεκίνησε κυκλοφόρησε το 1908 και λειτούργησε έως το 1940.
Identifying Hijacked Reviews
Creators: name: Daryani, Monika
name: Caverlee, James
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Fake reviews and review manipulation are growing problems on online marketplaces globally. Review Hijacking is a new review manipulation tactic in which unethical sellers "hijack" an existing product page (usually one with many positive reviews), then update the product details like title, photo, and description with those of an entirely different product. With the earlier reviews still attached, the new item appears well-reviewed. However, there are no public datasets of review hijacking and little is known in the literature about this tactic. Hence, this paper proposes a three-part study: (i) we propose a framework to generate synthetically labeled data for review hijacking by swapping products and reviews; (ii) then, we evaluate the potential of both a Twin LSTM network and BERT sequence pair classifier to distinguish legitimate reviews from hijacked ones using this data; and (iii) we then deploy the best performing model on a collection of 31K products (with 6.5 M reviews) in the original data, where we find 100s of previously unknown examples of review hijacking.
description: To be published in ACL-IJCNLP 2021 Workshop on e-Commerce and NLP (ECNLP)
Charged reflecting shells supporting non-minimally coupled massless scalar field configurations
Creators: name: Hod, Shahar
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study {\it analytically} the physical and mathematical properties of spatially regular massless scalar field configurations which are non-minimally coupled to the electromagnetic field of a spherically symmetric charged reflecting shell. In particular, the Klein-Gordon wave equation for the composed charged-reflecting-shell-nonminimally-coupled-linearized-massless-scalar-field system is solved analytically. Interestingly, we explicitly prove that the discrete resonance spectrum $\{R_{\text{s}}(Q,α,l;n)\}^{n=\infty}_{n=1}$ of charged shell radii that can support the non-minimally coupled massless scalar fields can be expressed in a remarkably compact form in terms of the characteristic zeros of the Bessel function (here $Q$, $α$, and $l$ are respectively the electric charge of the central supporting shell, the dimensionless non-minimal coupling parameter of the Maxwell-scalar theory, and the angular harmonic index of the supported scalar configuration).
description: 10 pages
dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System
Creators: name: Guo, Yang
name: Anwar, Tarique
name: Yang, Jian
name: Wu, Jia
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: Machine Learning (cs.LG)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: With the rising demand of smart mobility, ride-hailing service is getting popular in the urban regions. These services maintain a system for serving the incoming trip requests by dispatching available vehicles to the pickup points. As the process should be socially and economically profitable, the task of vehicle dispatching is highly challenging, specially due to the time-varying travel demands and traffic conditions. Due to the uneven distribution of travel demands, many idle vehicles could be generated during the operation in different subareas. Most of the existing works on vehicle dispatching system, designed static relocation centers to relocate idle vehicles. However, as traffic conditions and demand distribution dynamically change over time, the static solution can not fit the evolving situations. In this paper, we propose a dynamic future demand aware vehicle dispatching system. It can dynamically search the relocation centers considering both travel demand and traffic conditions. We evaluate the system on real-world dataset, and compare with the existing state-of-the-art methods in our experiments in terms of several standard evaluation metrics and operation time. Through our experiments, we demonstrate that the proposed system significantly improves the serving ratio and with a very small increase in operation cost.
description: Accepted by EAI MobiQuitous 2020
title: Privacy-aware urban mobility data harvesting
title: Συλλογή αστικών δεδομένων κίνησης διασφαλίζοντας την ιδιωτικότητα των αντικειμένων
titleType: AlternativeTitle
Creators: name: Athanasopoulos, Ioannis
name: Αθανασόπουλος, Ιωάννης
Publisher: name: Πανεπιστήμιο Πειραιώς
Year: 2024
Subjects: subject: Privacy
subject: Data harvesting
subject: Urban mobility

description: Με την διαρκή άνοδο των έξυπνων πόλεων και την ευρεία χρήση των υπηρεσιών τοποθεσίας από κινητές συσκευές, αυξάνεται ο προβληματισμός σχετικά με τον κίνδυνο παραβίασης της ιδιωτικότητας από πληροφορίες που μπορούν να εξαχθούν από τις ανθρώπινες τροχιές. Η συγκεκριμένη εργασία με τίτλο «Συλλογή αστικών δεδομένων κίνησης διασφαλίζοντας την ιδιωτικότητα των αντικειμένων» επικεντρώνεται στον τρόπο που η πληροφορία μπορεί να εξαχθεί από τις επιθέσεις ιδιωτικότητας, και συνεπώς ερευνά τον πιθανό κίνδυνο που εγκυμονεί η συλλογή δεδομένων κίνησης σε αστικά περιβάλλοντα. Αρχικά η μελέτη αναγνωρίζει και αναλύει τους συχνότερους τύπους επιθέσεων που μπορούν να εκτελεστούν σε πραγματικές καταστάσεις και τους τύπους πληροφορίας που μπορούν να χρησιμοποιηθούν για την ταυτοποίηση των ατόμων. Στην συνέχεια προτείνεται η υλοποίηση στην προγραμματιστική γλώσσα Rust της διαδικασίας του υπολογισμού του κινδύνου των επιθέσεων ιδιωτικότητας. Τέλος, πέρα από κάποια πειράματα για την αξιολόγηση της επίδοσης της προτεινόμενης υλοποίησης τόσο ως προς τον χρόνο όσο και ως προς την ακρίβεια, η εργασία δείχνει την σύγκρισή της με την πλέον σύγχρονη αντίστοιχη υλοποίηση, το Scikit-mobility.
Implementing DDI 3.3 in Colectica Version 6
Creators: name: Smith, Dan
Publisher: name: Zenodo
Year: 2019
Subjects: DDI
metadata
NADDI2019

description: Colectica version 6 will include many new content areas of DDI Lifecycle 3.3 and will adopt many of the new features while still maintaining compatibility with all prior versions of the standard. This talk will review the new content available in DDI 3.3 and how it is being added to Colectica version 6 in the following areas: classification management based on GSIM and Neuchâtel and Colectica’s migration from Copenhagen mapping to DDI 3.3, non-survey data collection measurements being added to Colectica questionnaires, sampling and weighting, questionnaire design, support for working with DDI as a property graph with properties on items and references via both DDI 3.3 and Colectica’s RDF Services for Colectica Repository, and quality statement improvements. In addition, the talk will highlight the now-complete formal model that is behind DDI 3.3 and how it has been useful for software development, as well as how Colectica approaches DDI implementation to ensure backwards compatibility.
IMPROVING COLORECTAL CANCER SCREENING IN PRIMARY CARE
Creators: name: Panujee Bijayayothin
Publisher: name: Zenodo
Year: 2019

description: Early detection of colorectal cancer (CRC) can be done efficiently by providing a referral for a colonoscopy, fecal immunochemical, or guaiac fecal occult blood kits. In the United States, the National Colorectal Cancer Roundtable (NCCRT) estimated that if providers achieved CRC screening of 80% of the target population by 2018, over 200,000 lives would be saved. Previously, providers only screened about one-third of the targeted patients on average. This was the impetus for the development of a quality improvement (QI) program by the Center of Medicare and Medicaid Services (CMS). As a result, the CMS provides “bonus” reimbursements to clinics meeting the 80% criteria. Starting in 2008, the Medicare Star-Rating Program (MSRP) began tracking primary care clinics’ screening performance according to payors. While demonstrating some success, there were minimal data to explain why other clinics do not achieve recommended scores with their CRC screening. This Doctor of Nursing Practice (DNP) project was designed to increase CRC screening performance levels in a busy Los Angeles primary care practice clinic that has never made baseline scores. The Teamlet Training Pathway (TTP) was used to implement the process with the staff, providers, and patients. Improving provider, staff, and patient education increased the clinic’s CRC screening by more than 10%. The Health Belief Model (HBM) was used to inform whether the interventions changed the clinic staff and providers’ behaviors. The results of this project indicate that the HBM iv and TTP could be effective methods to improve CRC screening in certain outpatient clinics.
Usage workflows for ontology design pattern templates
Creators: name: Mungall, Chris
name: Matentzoglu, Nicolas
name: Overton, James
name: Osumi-Sutherland, David
Publisher: name: Zenodo
Year: 2023

description: Templated design pattern systems like DOSDP1 and ROBOT2 afford a variety of usage patterns. They can indeed be used purely for generative purposes, with whole branches of the ontology (or even the whole ontology) constructed from minimal TSVs (the extremes here are occupied by ontologies like OBA3 and ECTO). But they can also be used to document existing patterns, and to probe the ontology for sections that conform. A wide variety of intermediate states are possible, with edits happening in a mixture of TSV and OWL.  But there is actually no need to do any generation, having a documented specification of your ontology’s implicit structures is incredibly useful, and having this be a computable specification that can be used to probe the ontology is a powerful tool for quality control.

This document outlines the different workflows in which to use ontology design patterns
FRONTIERS Intellectual Output 4
Creators: name: Farren, Margaret
name: Crotty, Yvonne
name: Manley, Sean
name: Chaniotakis, Emmanuel
name: Dempsey, Joann
Publisher: name: Zenodo
Year: 2021
Subjects: evaluation

description: This intellectual output presents the evaluation methodology and evaluation tools that the FRONTIERS consortium will develop in order to assess the impact of the project’s approach with students and teachers. Utilizing the developed framework and tools, a data collection campaign will take place following the implementation of the FRONTIERS demonstrators. These data will be subsequently analyzed in order to investigate the impact of the project’s approach.
Coffee Lecture Slides: Data Literacy - Datenkompetenz als Schlüsselqualifikation im 21. Jahrhundert
Creators: name: Schwartze, Volker
Publisher: name: Zenodo
Year: 2021
Subjects: data literacy
datenkompetenz
fdm
forschungsdatenmanagement
rdm
research data management

description: English: Coffee Lecture Slides: Data Literacy - Datenkompetenz als Schlüsselqualifikation im 21. Jahrhundert (Coffee Lecture 24.11.2021) Data literacy is defined as the ability to deal with data in a planned manner and to be able to use and question it consciously in the respective context. Due to the advancing digitization and datafication of society, competencies for handling data are becoming more and more important, not only in science but also in other areas of work and for social participation. It's not just about being able to collect and process data yourself. We are confronted with large amounts of data every day, which, among other things, should help us to assess developments in the world or to make personal or professional decisions. Basic skills in handling and understanding data are therefore important in order to generate knowledge from the available data and to be able to make well-founded decisions. This coffee lecture is dedicated to the question of what it means to be "data literate" and why (research) data management plays an important role in this. Video: Link ------------------------------------------------------ Deutsch: Coffee Lecture Folien: Data Literacy - Datenkompetenz als Schlüsselqualifikation im 21. Jahrhundert (Coffee Lecture 24.11.2021) Data Literacy wird definiert als die Fähigkeit, planvoll mit Daten umzugehen und sie im jeweiligen Kontext bewusst einsetzen und hinterfragen zu können. Durch die fortschreitende Digitalisierung und Datafizierung der Gesellschaft werden Kompetenzen zum Umgang mit Daten immer wichtiger, nicht nur in der Wissenschaft sondern auch in anderen Arbeitsbereichen und für die gesellschaftliche Teilhabe. Dabei geht es nicht nur darum selbst Daten erheben und verarbeiten zu können. Wir werden täglich mit großen Mengen an Daten konfrontiert, die uns unter anderem bei der Einschätzung von Entwicklungen in der Welt oder aber auch beim Treffen von persönlichen oder beruflichen Entscheidungen helfen sollen. Grundlegende Kompetenzen zum Umgang mit und dem Verständnis von Daten sind daher wichtig, um Wissen aus den verfügbaren Daten zu generieren und begründete Entscheidungen treffen zu können. Diese Coffee Lecture widmet sich der Frage, was es bedeutet "datenliterat" zu sein und warum (Forschungs-)Datenmanagement dabei eine wichtige Rolle spielt. Video: Link
Non-Abelian spin-orbit gauge: Persistent spin helix and quantum square ring
Creators: name: Chen, Son-Hsien
name: Chang, Ching-Ray
Publisher: name: arXiv
Year: 2007
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We re-express the Rashba and Dresselhaus interactions as non-Abelian spin-orbit gauges and provide a new perspective in understanding the persistent spin helix [Phys. Rev. Lett. 97, 236601 (2006)]. A spin-orbit interacting system can be transformed into a free electron gas in the equal-strength Rashba-Dresselhaus [001] linear model, the Dresselhaus [110] linear model, and a one-dimensional system. A general tight-binding Hamiltonian for non-uniform spin-orbit interactions and hoppings along arbitrary directions, within the framework of finite difference method, is obtained. As an application based on this Hamiltonian, a quantum square ring in contact with two ideal leads is found to exhibit four states, insulating, spin-filtering, spin-flipping, and spin-keeping states.
description: 7 pages, 3 figures
A classification of conformally flat generalized Ricci recurrent pseudo-Riemannian manifolds
Creators: name: De, Avik
name: How, Loo-Tee
Publisher: name: arXiv
Year: 2021
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 53C50

description: Conformally flat pseudo-Riemannian manifolds with generalized Ricci recurrent, $(GR)_n$ structure are completely classified in this short report. A conformally flat generalized Ricci recurrent pseudo-Riemannian manifold is shown to be either a de Sitter space or an anti-de Sitter space. In particular, a conformally flat generalized Ricci recurrent spacetime must be either a de Sitter spacetime or an anti-de Sitter spacetime.
Acceptance of biotechnology and social-cultural implications in Ghana
Creators: name: Quaye, Wilhemina
name: Yawson, Ivy
name: Yawson, Robert
name: Williams, Irene E.
Publisher: name: AJOL
Year: 2009

description: Despite major scientific progress in the application of biotechnology in agriculture, public attitudes towards biotechnology in general and genetically modified food (GM food) products in particular remain mixed in Africa. Examining responses on acceptance of GM food through a stakeholder survey in Ghana, it was established that half of the 100 people sample interviewed were not in favor of GM foods. To this group acceptance of GM foods would make farmers loose focus on the traditional ways of cultivation, putting the whole nation at the mercy of profit driven foreign companies who produce GM foods. In order to have clear and unbiased attitudes towards agricultural biotechnology in Africa, there is the need to substitute dominant ideologies in the way biotechnology research and dissemination are conducted in developed countries with tailor-made methodologies in developing countries. This paper emphasizes the social dynamic force of food focusing on the need for social shaping of biotechnologies to reflect local and regional needs. Respondents’ perceptions of GM foods suggest that food is seen as not just a commodity to be consumed but food has both cultural and national identities. Generally, people are identified by their consumption and nutrition lifestyles and therefore take pride in what they eat. A proposal is made to set biotechnology research agenda in the context of social choices; social scientific coalition of biotechnology with endogenous development pathways’ asopposed to ‘exogenous biotechnology research’. Also there is the need for adequate capacity building of the existing regulatory institutions to handle ethical and moral issues associated with biotechnology research since survey findings showed lacked of public confidence in them.
Monitoring Compliance with the Universal Bill of Human Rights: The Human Rights Committee. A Guide for NGO Practitioners
Creators: name: Abdou, Mahmoud M A
Publisher: name: figshare
Year: 2021
Subjects: subject: 220104 Human Rights and Justice Issues
subject: FOS: Philosophy, ethics and religion
subject: 180116 International Law (excl. International Trade Law)
subject: FOS: Law

description: This chapter was written as part of the author's graduation project for his MA in International Law and the Settlement of Disputes at the UN University for Peace in Costa Rica in 2013.
Constraining the axion-photon coupling using radio data of the Bullet Cluster
Creators: name: Chan, Man Ho
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Axion is one of the most popular candidates of the cosmological dark matter. Recent studies considering the misalignment production of axions suggest some benchmark axion mass ranges near $m_a \sim 20$ $μ$eV. For such axion mass, the spontaneous decay of axions can give photons in radio band frequency $ν\sim 1-3$ GHz, which can be detected by radio telescopes. In this article, we show that using radio data of galaxy clusters would be excellent to constrain axion dark matter. Specifically, by using radio data of the Bullet cluster (1E 0657-55.8), we find that the upper limit of the axion-photon coupling constant can be constrained to $g_{a γγ} \sim 10^{-12}-10^{-11}$ GeV$^{-1}$ for $m_a \sim 20$ $μ$eV, which is tighter than the limit obtained by the CERN Axion Solar Telescope (CAST).
description: Accepted in Nature Scientific Reports
A perturbation theory for large deviation functionals in fluctuating hydrodynamics
Creators: name: Sasa, Shin-ichi
Publisher: name: arXiv
Year: 2007
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We study a large deviation functional of density fluctuation by analyzing stochastic non-linear diffusion equations driven by the difference between the densities fixed at the boundaries. By using a fundamental equality that yields the fluctuation theorem, we first relate the large deviation functional with a minimization problem. We then develop a perturbation method for solving the problem. In particular, by performing an expansion with respect to the average current, we derive the lowest order expression for the deviation from the local equilibrium part. This expression implies that the deviation is written as the space-time integration of the excess entropy production rate during the most probable process of generating the fluctuation that corresponds to the argument of the large deviation functional.
description: 12pages
Application of a support vector regression model employing meta-heuristic algorithms for estimating pile bearing capacity
Creators: name: Su, Yingzhi
Publisher: name: Taylor & Francis
Year: 2024
Subjects: Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Mathematical Sciences not elsewhere classified
Science Policy

description: The design of pile foundations hinges significantly on the pile-bearing capacity (PBC), a crucial factor affected by numerous soil features and parameters. Piles serve as a key component in relocating structural loads to the ground, underscoring the need for accurately determining PBC in geotechnical design. While prior research has delved into utilizing artificial neural networks (ANN) for predicting PBC, they encounter shortcomings such as grappling with finding global minima and slow convergence rates. This study introduces Support Vector Regression (SVR) as a machine-learning approach, augmented by two meta-heuristic optimization techniques: the Giant Trevally Optimizer (GTO) and Smell Agent Optimization (SAO), to achieve optimal results. These techniques empower engineers and data scientists to develop more precise and reliable predictive models in geotechnical engineering, ultimately enhancing the safety and efficiency of foundation design and construction. Drawing upon an extensive dataset compiled from previous studies, a predictive model was constructed to estimate PBC using soft computing techniques. The outcomes overwhelmingly favored the SVGT model, a fusion of the SVR model with GTO, demonstrating excellent anticipative capacities with an outstanding R2 value of 0.998 and an impressively low RMSE value of 91.21.
Phase space analysis and chaotic scattering of plasma ions near a magnetic dipole
Creators: name: Pette, Daniel Vincent
Publisher: name: University of Iowa
Year: 2024

description: The phase space of charged particles in a magnetic dipole field is investigated by numerical experiment. The treatment of this problem from the perspectives of Transient chaos and chaotic scattering is motivated by examples related to plasma and space physics. Results for unperturbed ion orbits in a magnetic dipole field are presented; the implications of augmenting the phase space to include ion-neutral collisions and a nonautonomous perturbing electric field are discussed. The connection of unperturbed orbits and kinetic plasma theory is made, and a method of finding the linear electrostatic modes by numerical integration along unperturbed orbits is proposed.
Aelurillus kochi Roewer 1951
Creators: name: Wesolowska, W.
name: van Harten, A.
Publisher: name: Zenodo
Year: 2010
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Araneae
Salticidae
Aelurillus
Aelurillus kochi

description: Aelıırillııs koclıi Roewer, 1951 Plates 3-4, Figures 8 10 Specimens examined: N ofAjman, 1 ♂, 21-25.x. 2007, WT; 1♂, ll 25.xi. 2006, WT. Description: Measurements. Cephalothorax length 2.3-2.7, width 1.8-1.9, height 1.0- 1.1. Abdomen length 2.3 2.6, width 1.6-1.9. Eye ﬁeld length 0.8 1.0, anterior width 1.2-1.4, posterior width 1.1-1.2. Male. Medium-sized, hairy spider (Plate 3). Carapace dark, densely covered with greyish hairs, on lateral slopes hairs fawn. Three longitudinal light streaks on eye ﬁeld formed by white hairs, near eyes some brown long setae. Anterior eyes surrounded by fawn small scales. Clypeus with white hairs, chelicerae orange (Plate 4). Labium and gnathocoxae orange with white margins, sternum almost black. Abdomen dark grey, clothed in light hairs, venter whitish. Spinnerets yellow. Legs whitish yellow, covered with light hairs with admixture of brown ones, spines brown, scopulae dark. First leg with black tibia, metatarsus and tarsus (Fig. 8), femur bears dense white hairs, on retrolateral surface with two tufts of fawn ones. . . Pedipalps white, densely covered with long white hairs, but cyrnbium and bulb blackish. Palp structure as in Figures 9 and 10. Description of female: See Prószyñski (2003). Distribution: So far only known from Greece, Syria and Israel. New to the UAE.
description: Published as part of Wesolowska, W. & van Harten, A., 2010, Order Araneae, pp. 27-69 in Arthropod fauna of the UAE, Abu Dhabi :Dar Al Ummah on pages 28-30, DOI: 10.5281/zenodo.269135
Two classes of bipartite networks: nested biological and social systems
Creators: name: Burgos, Enrique
name: Ceva, Horacio
name: Hernandez, Laura
name: Perazzo, R. P. J.
name: Devoto, Mariano
name: Medan, Diego
Publisher: name: arXiv
Year: 2008
Subjects: subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: Bipartite graphs have received some attention in the study of social networks and of biological mutualistic systems. A generalization of a previous model is presented, that evolves the topology of the graph in order to optimally account for a given Contact Preference Rule between the two guilds of the network. As a result, social and biological graphs are classified as belonging to two clearly different classes. Projected graphs, linking the agents of only one guild, are obtained from the original bipartite graph. The corresponding evolution of its statistical properties is also studied. An example of a biological mutualistic network is analyzed in great detail, and it is found that the model provides a very good quantitative fitting of its properties. The model also provides a proper qualitative description of the statistical features observed in social webs, suggesting the possible reasons underlying the difference in the organization of these two kinds of bipartite networks.
description: 11 pages, 5 figures