cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Unlisted investments: strategies and choices for the design of a daily pricing model for superannuation fund unit pricing
Creators: name: GARIMORT, John
Publisher: name: RMIT University
Year: 2024
Subjects: classificationCode: 350208
subject: Investment and risk management
classificationCode: 350403
subject: Real estate and valuation services

description: Investors in superannuation funds in the Australian market are permitted to alter their investment strategy on a daily basis through adjustments to asset allocations. For example, this means that individual investors may choose to sell their portion of capital invested in real estate in exchange for the purchase of units in equities, or cash. For this to be equitable to all parties, the transfer of funds between asset classes must be done at current market values for the asset classes concerned. If this does not occur, some investors are advantaged, some disadvantaged.
SUPPLEMENTARY MATERIAL: A time averaged semiclassical approach to IR spectroscopy
Creators: name: Lanzi, Cecilia
name: Aieta, Chiara
name: Ceotto, Michele
name: Conte, Riccardo
Publisher: name: AIP Publishing
Year: 2024
Subjects: classificationCode: 34
subject: Chemical sciences
subject: FOS: Chemical sciences

description: Supplementary
The landscape of QCD axion models
Creators: name: Di Luzio, Luca
name: Giannotti, Maurizio
name: Nardi, Enrico
name: Visinelli, Luca
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: High Energy Physics - Experiment (hep-ex)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We review the landscape of QCD axion models. Theoretical constructions that extend the window for the axion mass and couplings beyond conventional regions are highlighted and classified. Bounds from cosmology, astrophysics and experimental searches are reexamined and updated.
description: Review article for Physics Reports, 151 pages. Minor corrections and few typos fixed
Rule extraction method for identifying solar PV generation
Creators: name: Dalzell, Geordie
Publisher: name: RMIT University
Year: 2024
Subjects: classificationCode: 400803
subject: Electrical energy generation (incl. renewables, excl. photovoltaics)
classificationCode: 460501
subject: Data engineering and data science

description: Smart metering and advanced metering infrastructure are key enablers for smart grids. The large volumes of data generated by smart metering requires algorithms that process these data, converting it to useful knowledge to guide decision making by smart grid stakeholders. Using smart metering data to deduce electricity customer properties is an active area of current research.

The rise in popularity of domestic solar PV systems creates a safety and regulatory compliance issue for distribution network operators (DNOs). Some customers who have these systems installed do not notify DNOs or fulfil proper safety procedures. This creates risks such as damage to equipment, overvoltage events, and islanding conditions. The islanding condition is of particular concern due to the risk of loss of life to electricity workers. Classifying whether or not an electricity customer has a solar PV system from their electricity consumption data is directly applicable to this issue.

Rule extraction through interim summarisation provides a simple, human interpretable method for classifying data based on previous observations (labelled data). This work evaluates the performance of rule extraction for classifying daily electricity load profiles by applying the method to a dataset of 609 electricity customers from Victoria, Australia. Observations on how to best apply rule extraction to the classification of daily load profiles are given.

From the results of case studies described in this work rule extraction through interim summarisation is found to be suitable for use as a component of a larger classifier system where the outputs from daily load profiles classified by rule extraction through interim summarisation are used as inputs to a customer classifier. This work contributes to the area of smart grid data analytics by identifying and evaluating an algorithmic building block that can be used in smart metering data analysis.
Jet Substructure from Dark Sector Showers
Creators: name: Cohen, Timothy
name: Doss, Joel
name: Freytsis, Marat
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We examine the robustness of collider phenomenology predictions for a dark sector scenario with QCD-like properties. Pair production of dark quarks at the LHC can result in a wide variety of signatures, depending on the details of the new physics model. A particularly challenging signal results when prompt production induces a parton shower that yields a high multiplicity of collimated dark hadrons with subsequent decays to Standard Model hadrons. The final states contain jets whose substructure encodes their non-QCD origin. This is a relatively subtle signature of strongly coupled beyond the Standard Model dynamics, and thus it is crucial that analyses incorporate systematic errors to account for the approximations that are being made when modeling the signal. We estimate theoretical uncertainties for a canonical substructure observable designed to be sensitive to the gauge structure of the underlying object, the two-point energy correlator $e_2^{(β)}$, by computing envelopes between resummed analytic distributions and numerical results from Pythia. We explore the separability against the QCD background as the confinement scale, number of colors, number of flavors, and dark quark masses are varied. Additionally, we investigate the uncertainties inherent to modeling dark sector hadronization. Simple estimates are provided that quantify one's ability to distinguish these dark sector jets from the overwhelming QCD background. Such a search would benefit from theory advances to improve the predictions, and the increase in statistics using the data to be collected at the high luminosity LHC.
description: 30 pages + appendix, 11 figures; v3: minor clarifications added
A k-hop Collaborate Game Model: Extended to Community Budgets and Adaptive Non-Submodularity
Creators: name: Guo, Jianxiong
name: Wu, Weili
Publisher: name: arXiv
Year: 2020
Subjects: subject: Social and Information Networks (cs.SI)
subject: Computer Science and Game Theory (cs.GT)
subject: FOS: Computer and information sciences

description: Revenue maximization (RM) is one of the most important problems on online social networks (OSNs), which attempts to find a small subset of users in OSNs that makes the expected revenue maximized. It has been researched intensively before. However, most of exsiting literatures were based on non-adaptive seeding strategy and on simple information diffusion model, such as IC/LT-model. It considered the single influenced user as a measurement unit to quantify the revenue. Until Collaborate Game model appeared, it considered activity as a basic object to compute the revenue. An activity initiated by a user can only influence those users whose distance are within k-hop from the initiator. Based on that, we adopt adaptive seed strategy and formulate the Revenue Maximization under the Size Budget (RMSB) problem. If taking into account the product's promotion, we extend RMSB to the Revenue Maximization under the Community Budget (RMCB) problem, where the influence can be distributed over the whole network. The objective function of RMSB and RMCB is adatpive monotone and not adaptive submodular, but in some special cases, it is adaptive submodular. We study the RMSB and RMCB problem under both the speical submodular cases and general non-submodular cases, and propose RMSBSolver and RMCBSolver to solve them with strong theoretical guarantees, respectively. Especially, we give a data-dependent approximation ratio for RMSB problem under the general non-submodular cases. Finally, we evaluate our proposed algorithms by conducting experiments on real datasets, and show the effectiveness and accuracy of our solutions.
Machine learning for volumetric data analysis of bread dough: meeting the Synchrotron challenge
Creators: name: ALI, Salah Mohammed Abdulrahman
Publisher: name: RMIT University
Year: 2024
Subjects: classificationCode: 460306
subject: Image processing

description: In recent years, major capability improvements at synchrotron beamlines have given researchers the ability to capture more complex structures at a higher resolution within a very short time. This opens the possibility of studying dynamic processes and observing resulting structural changes over time. However, such studies can create a huge quantity of 3D image data, which presents a major challenge for segmentation and analysis. Here we examine tomography experiments at the Australian synchrotron source which were used to study bread dough formulations during rising and baking, resulting in over 460 individual 3D datasets. The current pipeline for segmentation and analysis involves semi-automated methods using commercial software that require a large amount of user input. This paper focuses on exploring Machine learning methods to automate this process. The main challenge we face is in generating adequate training datasets to train the Machine learning model. Creating training data by manually segmenting real images is very labour-intensive, so we have instead tested methods of automatically creating synthetic training datasets which have the same attributes of the original images. The generated synthetic images are used to train a U-net Model, which is then used to segment the original bread dough images. The trained U-net outperformed the previously used segmentation techniques while taking less manual effort. This automated model for data segmentation would alleviate the time-consuming aspects of experimental workflow and would open the door to perform 4D characterization experiments with smaller time steps.
An Architecture for Distributed Energies Trading in Byzantine-Based Blockchain
Creators: name: Guo, Jianxiong
name: Ding, Xingjian
name: Wu, Weili
Publisher: name: arXiv
Year: 2020
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Computer Science and Game Theory (cs.GT)
subject: FOS: Computer and information sciences

description: With the development of smart cities, not only are all corners of the city connected to each other, but also connected from city to city. They form a large distributed network together, which can facilitate the integration of distributed energy station (DES) and corresponding smart aggregators. Nevertheless, because of potential security and privacy protection arisen from trustless energies trading, how to make such energies trading goes smoothly is a tricky challenge. In this paper, we propose a blockchain-based multiple energies trading (B-MET) system for secure and efficient energies trading by executing a smart contract we design. Because energies trading requires the blockchain in B-MET system to have high throughput and low latency, we design a new byzantine-based consensus mechanism (BCM) based on node's credit to improve efficiency for the consortium blockchain under the B-MET system. Then, we take combined heat and power (CHP) system as a typical example that provides distributed energies. We quantify their utilities, and model the interactions between aggregators and DESs in a smart city by a novel multi-leader multi-follower Stackelberg game. It is analyzed and solved by reaching Nash equilibrium between aggregators, which reflects the competition between aggregators to purchase energies from DESs. In the end, we conduct plenty of numerical simulations to evaluate and verify our proposed model and algorithms, which demonstrate their correctness and efficiency completely.
Machine learning fairness notions: Bridging the gap with real-world applications
Creators: name: Makhlouf, Karima
name: Zhioua, Sami
name: Palamidessi, Catuscia
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Computers and Society (cs.CY)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Fairness emerged as an important requirement to guarantee that Machine Learning (ML) predictive systems do not discriminate against specific individuals or entire sub-populations, in particular, minorities. Given the inherent subjectivity of viewing the concept of fairness, several notions of fairness have been introduced in the literature. This paper is a survey that illustrates the subtleties between fairness notions through a large number of examples and scenarios. In addition, unlike other surveys in the literature, it addresses the question of: which notion of fairness is most suited to a given real-world scenario and why? Our attempt to answer this question consists in (1) identifying the set of fairness-related characteristics of the real-world scenario at hand, (2) analyzing the behavior of each fairness notion, and then (3) fitting these two elements to recommend the most suitable fairness notion in every specific setup. The results are summarized in a decision diagram that can be used by practitioners and policymakers to navigate the relatively large catalog of ML.
Fragments of an aesthetic
Creators: name: REVELL, Liam
Publisher: name: RMIT University
Year: 2024
Subjects: classificationCode: 330315
subject: Textile and fashion design

description: Fragments of An Aesthetic is an investigation situated in the discipline of fashion design. In this research, the locus of aesthetics is the word, with the research asking how the aesthetic dimension of word compositions might inform an exploration of an aesthetic: the surface appearance of objects. The interest in an aesthetic emerges from L-R's (the fashion designer) practice where decoration animates the design process and influences the arrangement of elements and the structuring of forms.

Roland Barthes's proposition that the rhetorical and metaphorical nature of words is the true signification of fashion prompted L-R's creative investigation. Here; however, the research observes and analyses L-R's play with words in the pursuit of an aesthetic and not a semiotic analysis of representations of fashion. To this extent, it studies a suspended moment of ideation in a fashion design practice where an aesthetic deemed as unknown or undetermined, is imagined, composed and translated. It regards the search for an aesthetic as a search for meaning and is illuminated by theories, philosophies and practices, including those of Adam Phillips and Richard Serra, whose common thread is that a search for an aesthetic as meaning originates from a sensuous experience of words.

The research sought to find how the qualities of the words utilised in aesthetic exploration might resist a denotative/literal translation and tend towards a connotative/metaphorical aesthetic. Several experiments: Damage, Aesthetics of Arrangement, Making Meaning/ Making Sense, and Les Mots et Les Images are moments where the designer, posing as a designer-author (producer) and designer-reader (perceiver), used words as objects to think with, as materials to give a perceptible form to ideas, and as mediums that mediate between the designer-author and designer-reader.

Within the experiments, L-R composed word-fragments and image-fragments as translations of imagining; the designer collects and composes fragments as cues and hints of an aesthetic. The fragments are not broken-off from something, but in this moment of ideation they are incomplete; they are, conceptually, modular ideas whose arrangements point towards the development of a concept.

In Fragments of An Aesthetic, L-R has interpreted post-design process philosophies, theories and practices relating to the rhetorical and metaphorical qualities of words and the aesthetics of objects and applied the understandings he gained to advance his design process. L-R, reflecting on the researchers influences on a moment of his ideation, considers the potential to fashion design as residing in how words can be utilised in ways other than to communicate `fashion-ness'. In searching for an aesthetic, the designer-author, using words, can originate an authorial style. Then, by stepping into the role of a reader, the aesthetic dimension of these compositions can be translated and developed into an image-based aesthetic.
Active nonreciprocal attraction between motile particles in an elastic medium
Creators: name: Gupta, Rahul Kumar
name: Kant, Raushan
name: Soni, Harsh
name: Sood, A. K.
name: Ramaswamy, Sriram
Publisher: name: arXiv
Year: 2020
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Biological Physics (physics.bio-ph)
subject: FOS: Physical sciences

description: We show from experiments and simulations on vibration-activated granular matter that self-propelled polar rods in an elastic medium on a substrate turn and move towards each other. We account for this effective attraction through a coarse-grained theory of a motile particle as a moving point-force density that creates elastic strains in the medium that reorient other particles. Our measurements confirm qualitatively the predicted features of the distortions created by the rods, including the $|x|^{-1/2}$ tail of the trailing displacement field and non-reciprocal sensing and pursuit. A discrepancy between the magnitudes of displacements along and transverse to the direction of motion remains. Our theory should be of relevance to the interaction of motile cells in the extracellular matrix or in a supported layer of gel or tissue.
description: Revised the draft structure with supplementary included in the main draft, added some new analysis, some figures and bibliography modified, See Supplementary movies here https://www.dropbox.com/sh/od5lg00cxijk7b9/AAB3j6el7jFdaZ0q1xOo0Eqza?dl=0
Improving plan flexibility by reasoning about action orderings and instantiations
Creators: name: WATERS, Max
Publisher: name: RMIT University
Year: 2024
Subjects: classificationCode: 460202
subject: Autonomous agents and multiagent systems
classificationCode: 460209
subject: Planning and decision making
classificationCode: 460210
subject: Satisfiability and optimisation

description: To achieve its goals, an agent typically has a plan. However, in real-world domains, the environment can be dynamic, partially observable or contain other agents, and actions can fail or have unexpected side effects. Thus, this thesis introduces, theoretically analyses and empirically evaluates novel techniques for representing and generating flexible plans that allow the agent to modify its behaviour in response to unexpected events.

While most approaches to plan flexibility are concerned with flexible action orderings, often found by relaxing a classical plan into an optimally flexible partial-order plan (POP), the focus here is the flexibility that arises from allowing the agent to reason about the domain objects used by a plan, that is, the actions' parameters. This thesis shows that plans that allow for both domain objects and action orderings to be selected at execution time, and relaxation processes that optimise both domain object use and ordering, provide more execution-time flexibility than those that consider action orderings alone.

To reason about domain objects at optimisation time, the notions of reinstantiated deordering and reinstantiated reordering are introduced, relaxations of a plan under which both ordering constraints and action parameters can be changed. An empirical evaluation shows that these processes can find optimised POPs that are more flexible than is possible when the parameters remain unchanged.

To allow domain objects to be selected at execution time, the notion of a partial plan is introduced, a generalised plan comprising schematised actions and a constraint formula that specifies the allowable combinations of action orderings and parameters. A parameterised complexity analysis shows that finding a classical plan that satisfies these constraints is NP-hard, but polynomial for constraint formulae of bounded treewidth. An empirical evaluation shows that MkTR, a novel plan relaxation algorithm, can find partial plans of quadratic "complexity" that are significantly more flexible than POPs found by order optimisation techniques.

Symmetry breaking techniques are introduced to ameliorate the combinatorial explosion that results from optimising both action orderings and parameters. It is shown that a plan can have an exponential number of equally flexible alternatives with symmetrical causal structures. As causal structure symmetries are of a form that occurs in many CSP benchmark problems, but is too general for existing symmetry breaking approaches, Multi Lex is introduced, a novel and compact symmetry breaking constraint that removes all but a constant factor of generalised symmetries.
On the value of non-Markovian Dynkin games with partial and asymmetric information
Creators: name: De Angelis, Tiziano
name: Merkulov, Nikita
name: Palczewski, Jan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: Optimization and Control (math.OC)
subject: Mathematical Finance (q-fin.MF)
subject: FOS: Mathematics
subject: FOS: Economics and business
subject: 91A27, 91A55, 91A15, 60G07, 60G40

description: We prove that zero-sum Dynkin games in continuous time with partial and asymmetric information admit a value in randomised stopping times when the stopping payoffs of the players are general \cadlag measurable processes. As a by-product of our method of proof we also obtain existence of optimal strategies for both players. The main novelties are that we do not assume a Markovian nature of the game nor a particular structure of the information available to the players. This allows us to go beyond the variational methods (based on PDEs) developed in the literature on Dynkin games in continuous time with partial/asymmetric information. Instead, we focus on a probabilistic and functional analytic approach based on the general theory of stochastic processes and Sion's min-max theorem (M. Sion, Pacific J. Math., 8, 1958, pp. 171-176). Our framework encompasses examples found in the literature on continuous time Dynkin games with asymmetric information and we provide counterexamples to show that our assumptions cannot be further relaxed.
description: Changes include the proof of existence of a saddle point for the game and inclusion of a separate payoff when players stop at the same time. There are also some editorial changes and improvements in presentation
The Effects of Oscillations & Collisions of Emerging Bipolar Regions on the Triggering of Solar Flares
Creators: name: Boocock, Callum
name: Kusano, Kanya
name: Tsiklauri, David
Publisher: name: arXiv
Year: 2020
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The ability to predict the occurrence of solar flares in advance is important to humankind due to the potential damage they can cause to Earth's environment and infrastructure. It has been shown in Kusano et al. (2012) that a small-scale bipolar region (BR), with its flux reversed relative to the potential component of the overlying field, appearing near the polarity inversion line (PIL) is sufficient to effectively trigger a solar flare. In this study we perform further 3D magnetohydrodynamic simulations to study the effect that the motion of these small-scale BRs has on the effectiveness of flare triggering. The effect of two small-scale BRs colliding is also simulated. The results indicate that the strength of the triggered flare is dependent on how much of the overlying field is disrupted by the BR. Simulations of linear oscillations of the BR showed that oscillations along the PIL increase the flare strength whilst oscillations across the PIL detract from the flare strength. The flare strength is affected more by larger amplitude oscillations but is relatively insensitive to the frequency of oscillations. In the most extreme case the peak kinetic energy of the flare increased more than threefold compared to a non-oscillating BR. Simulations of torsional oscillations of the BR showed a very small effect on the flare strength. Finally, simulations of colliding BRs showed the generation of much stronger flares as the flares triggered by each individual BR coalesce. These results show that significantly stronger flares can result from motion of the BR along the PIL of a sheared field or from the presence of multiple BRs in the same region.
description: 10 pages, 10 figures, 1 table, Correction made to Equation 1
Levantamento Da Termitofauna Associada A Espécies Arbóreas Do Jardim Botânico Da Universidade Federal Rural Do Rio De Janeiro.
Creators: name: Rigueira, Guilherme Henrique Mariano
name: Oliveira, Ana Carolina Do Carmo
name: Gazal, Vinícius
name: Souza, Thiago Sampaio
Publisher: name: Zenodo
Year: 2017
Subjects: ocorrência de térmitas
árvores
térmitas arborícolas

description: O Jardim Botânico da UFRRJ (JB/UFRRJ) contribui para a conservação da biodiversidade da flora, com destaque para espécies da Mata Atlântica. Entretanto, suas árvores estão infestadas por térmitas. O objetivo do presente trabalho foi identificar as espécies de térmitas associadas às espécies arbóreas do JB/UFRRJ, Seropédica, RJ. Para isso, todas as árvores do JB/UFRRJ foram inspecionadas. Os térmitas encontrados forrageando nas cascas ou entrecascas das árvores foram coletados e preservados em álcool 70% para posterior identificação, e o material vegetal também coletado para identificação específica. Do total de 226 árvores inspecionadas, 24% (n=54) apresentaram ocorrência, onde ambas as espécies foram identificadas pertencentes à família Termitidae, sendo elas: \textit{Microcerotermes strunckii} Sörensen e \textit{Nasutitermes sp.} A espécie, com ocorrência nas árvores, mais frequente foi \textit{M. strunckii} (x2 =12,5; g.l.=1; p<0,01), em 63% das árvores, e \textit{Nasutitermes sp.} ocorrendo em 37%. \textit{Mangifera indica} (37%) foi a espécie arbórea com maior ocorrência por térmitas (x2=5,47; g.l.=4; p<0,01). Dentre as cinco espécies arbóreas com maior ocorrência por \textit{M. strunckii} (n=35), destacou-se também a exótica \textit{M. indica} com 37%, seguido de \textit{Syzygium cumini} (7,4%), \textit{Roystonea oleracea} (5,5%), \textit{Inga laurina} (3,7%) e \textit{Lecythis pisonis} (3,7%) (x2 =49,9; g.l.=4; p<0,001). As cinco espécies de árvores com maior ocorrência pelo \textit{Nasutitermes sp.} (n=19) foram: \textit{Paubrasilia echinata} (6%), \textit{Sabal palmetto} (4%), \textit{Gallesia integrifolia} (4%), \textit{S. cumini} (2%) e \textit{Citrus reticalate} (2%) (x2 =1,2; g.l.=4; n.s.). Portanto, as árvores do JB/UFRRJ são infestadas por térmitas arborícolas nativos do Brasil, com predominância de infestação por \textit{M. strunckii} em espécie arbórea exótica.
Reweighting samples under covariate shift using a Wasserstein distance criterion
Creators: name: Reygner, Julien
name: Touboul, Adrien
Publisher: name: arXiv
Year: 2020
Subjects: subject: Statistics Theory (math.ST)
subject: Computation (stat.CO)
subject: Machine Learning (stat.ML)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: Considering two random variables with different laws to which we only have access through finite size iid samples, we address how to reweight the first sample so that its empirical distribution converges towards the true law of the second sample as the size of both samples goes to infinity. We study an optimal reweighting that minimizes the Wasserstein distance between the empirical measures of the two samples, and leads to an expression of the weights in terms of Nearest Neighbors. The consistency and some asymptotic convergence rates in terms of expected Wasserstein distance are derived, and do not need the assumption of absolute continuity of one random variable with respect to the other. These results have some application in Uncertainty Quantification for decoupled estimation and in the bound of the generalization error for the Nearest Neighbor Regression under covariate shift.
Additional file 7 of Comparative genomic analysis of Planctomycetota potential for polysaccharide degradation identifies biotechnologically relevant microbes
Creators: name: Klimek, Dominika
name: Herold, Malte
name: Calusinska, Magdalena
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Supplementary Material 7
Extensions of absolute values on two subfields
Creators: name: Ding, Zhiguo
name: Zieve, Michael E.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Commutative Algebra (math.AC)
subject: FOS: Mathematics
subject: 13A18 (Primary) 12J20, 11S15 (Secondary)

description: We describe the absolute values on a field which simultaneously extend absolute values on two subfields. We also give a common generalization of many versions of Abhyankar's lemma on ramification indices, which is both widely applicable and easy to state. We then apply these results to count points on the fibered product of two curve morphisms C --> X and D --> X which lie over prescribed points on C and D.
description: 14 pages
Paramagnons and high-temperature superconductivity in mercury-based cuprates
Creators: name: Wang, Lichen
name: He, Guanhong
name: Yang, Zichen
name: Garcia-Fernandez, Mirian
name: Nag, Abhishek
name: Zhou, Ke-Jin
name: Minola, Matteo
name: Tacon, Matthieu Le
name: Keimer, Bernhard
name: Peng, Yingying
name: Li, Yuan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We present a comparative study of magnetic excitations in the first two Ruddlesden-Popper members of the Hg-family of high-temperature superconducting cuprates, which are chemically nearly identical and have the highest critical temperature ($T_\mathrm{c}$) among all cuprate families. Our inelastic photon scattering experiments reveal that the two compounds' paramagnon spectra are nearly identical apart from an energy scale factor of $\sim130\%$ that matches the ratio of $T_\mathrm{c}$'s, as expected in magnetic Cooper pairing theories. By relating our observations to other cuprates, we infer that the strength of magnetic interactions determines how high $T_\mathrm{c}$ can reach. Our finding can be viewed as a magnetic analogue of the isotope effect, thus firmly supporting models of magnetically mediated high-temperature superconductivity.
description: 6 pages, 4 figures, SM available via link in pdf
The Problem with XSD Binary Floating Point Datatypes in RDF
Creators: name: Keil, Jan Martin
name: Gänßinger, Merle
Publisher: name: arXiv
Year: 2020
Subjects: subject: Databases (cs.DB)
subject: FOS: Computer and information sciences
subject: I.2.4; H.3.2
subject: 68T30

description: The XSD binary floating point datatypes are regularly used for precise numeric values in RDF. However, the use of these datatypes for knowledge representation can systematically impair the quality of data and, compared to the XSD decimal datatype, increases the probability of data processing producing false results. We argue why in most cases the XSD decimal datatype is better suited to represent numeric values in RDF. A survey of the actual usage of datatypes on the relevant subset of the December 2020 Web Data Commons dataset, containing 19453060341 literals from real web data, substantiates the practical relevancy of the described problem: 29 %-68 % of binary floating point values are distorted due to the datatype.
description: 17 pages, 3 figures
Termos e e-mails de consentimento livre e esclarecido para pesquisa com audiovisual
Creators: name: Santos, Francisco Edvander Pires
Publisher: name: Zenodo
Year: 2018
Subjects: Autorização para pesquisa
Endereço eletrônico
Pesquisa com audiovisual
Authorization
E-mail
Audiovisual research

description: Termos e e-mails de consentimento livre e esclarecido visando solicitar autorização para coleta de dados da dissertação intitulada Gestão de acervos audiovisuais em repositórios, sob orientação da Prof.ª Dra. Maria Giovanna Guedes Farias e coorientação do Prof. Dr. Luiz Tadeu Feitosa. As versões impressas foram assinadas por cada sujeito e arquivadas originalmente com o pesquisador.
Modulation of Ionic Current Rectification in Ultra-Short Conical Nanopores
Creators: name: Ma, Long
name: Li, Zhongwu
name: Yuan, Zhishan
name: Huang, Chuanzhen
name: Siwy, Zuzanna S.
name: Qiu, Yinghua
Publisher: name: arXiv
Year: 2020
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Nanopores that exhibit ionic current rectification (ICR) behave like diodes, such that they transport ions more efficiently in one direction than the other. Conical nanopores have been shown to rectify ionic current, but only those with at least 500 nm in length exhibit significant ICR. Here, through the finite element method, we show how ICR of conical nanopores with length below 200 nm can be tuned by controlling individual charged surfaces i.e. inner pore surface (surface_inner), and exterior pore surfaces on the tip and base side (surface_tip and surface_base). The charged surface_inner and surface_tip can induce obvious ICR individually, while the effects of the charged surface_base on ICR can be ignored. The fully charged surface_inner alone could render the nanopore counterion-selective and induces significant ion concentration polarization in the tip region, which causes reverse ICR compared to nanopores with all surface charged. In addition, the direction and degree of rectification can be further tuned by the depth of the charged surface_inner. When considering the exterior membrane surface only, the charged surface_tip causes intra-pore ionic enrichment and depletion under opposite biases which results in significant ICR. Its effective region is within ~40 nm beyond the tip orifice. We also found that individual charged parts of the pore system contributed to ICR in an additive way due to the additive effect on the ion concentration regulation along the pore axis. With various combinations of fully/partially charged surface_inner and surface_tip, diverse ICR ratios from ~2 to ~170 can be achieved. Our findings shed light on the mechanism of ionic current rectification in ultra-short conical nanopores, and provide a useful guide to the design and modification of ultra-short conical nanopores in ionic circuits and nanofluidic sensors.
description: 25 pages, 8 figures
Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks
Creators: name: Saviolo, Alessandro
name: Bonotto, Matteo
name: Evangelista, Daniele
name: Imperoli, Marco
name: Lazzaro, Jacopo
name: Menegatti, Emanuele
name: Pretto, Alberto
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: This paper presents a new framework for human body part segmentation based on Deep Convolutional Neural Networks trained using only synthetic data. The proposed approach achieves cutting-edge results without the need of training the models with real annotated data of human body parts. Our contributions include a data generation pipeline, that exploits a game engine for the creation of the synthetic data used for training the network, and a novel pre-processing module, that combines edge response maps and adaptive histogram equalization to guide the network to learn the shape of the human body parts ensuring robustness to changes in the illumination conditions. For selecting the best candidate architecture, we perform exhaustive tests on manually annotated images of real human body limbs. We further compare our method against several high-end commercial segmentation tools on the body parts segmentation task. The results show that our method outperforms the other models by a significant margin. Finally, we present an ablation study to validate our pre-processing module. With this paper, we release an implementation of the proposed approach along with the acquired datasets.
description: This paper has been published in: Proceedings of the 16th International Conference on Intelligent Autonomous Systems (IAS 2021)
High-Performance Nanofluidic Osmotic Power Generation Enabled by Exterior Surface Charges under the Natural Salt Gradient
Creators: name: Ma, Long
name: Li, Zhongwu
name: Yuan, Zhishan
name: Wang, Haocheng
name: Huang, Chuanzhen
name: Qiu, Yinghua
Publisher: name: arXiv
Year: 2021
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: High-performance osmotic energy conversion (OEC) requires both high ionic selectivity and permeability in nanopores. Here, through systematical explorations of influences from individual charged nanopore surfaces on the performance of OEC, we find that the charged exterior surface on the low-concentration side (surfaceL) is essential to achieve high-performance osmotic power generation, which can significantly improve the ionic selectivity and permeability simultaneously. Detailed investigation of ionic transport indicates that electric double layers near charged surfaces provide high-speed passages for counterions. The charged surfaceL enhances cation diffusion through enlarging the effective diffusive area, and inhibits anion transport by electrostatic repulsion. Different areas of charged exterior surfaces have been considered to mimic membranes with different porosities in practical applications. Through adjusting the width of the charged ring region on the surfaceL, electric power in single nanopores increases from 0.3 to 3.4 pW with a plateau at the width of ~200 nm. The power density increases from 4200 to 4900 W/m2 and then decreases monotonously that reaches the commercial benchmark at the charged width of ~480 nm. While, energy conversion efficiency can be promoted from 4% to 26%. Our results provide useful guide in the design of nanoporous membranes for high-performance osmotic energy harvesting.
description: 30 pages and 7 figures
sj-docx-1-dhj-10.1177_20552076221143249 - Supplemental material for Artificial intelligence-enabled electrocardiogram screens low left ventricular ejection fraction with a degree of confidence
Creators: name: Lee, Chun-Ho
name: Liu, Wei-Ting
name: Lou, Yu-Sheng
name: Lin, Chin-Sheng
name: Fang, Wen-Hui
name: Lee, Chia-Cheng
name: Ho, Ching-Liang
name: Wang, Chih-Hung
name: Lin, Chin
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Cardiology
subject: 110306 Endocrinology
subject: FOS: Clinical medicine
subject: 110308 Geriatrics and Gerontology
subject: 111099 Nursing not elsewhere classified
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 111702 Aged Health Care
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies
subject: Anthropology
subject: FOS: Sociology
subject: 200299 Cultural Studies not elsewhere classified
subject: FOS: Other humanities
subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences
subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business
subject: Science Policy
subject: 160512 Social Policy
subject: FOS: Political science
subject: Sociology

description: Supplemental material, sj-docx-1-dhj-10.1177_20552076221143249 for Artificial intelligence-enabled electrocardiogram screens low left ventricular ejection fraction with a degree of confidence by Chun-Ho Lee, Wei-Ting Liu, Yu-Sheng Lou, Chin-Sheng Lin and Wen-Hui Fang, Chia-Cheng Lee, Ching-Liang Ho, Chih-Hung Wang, Chin Lin in Digital Health
Importance of Instruction for Pedestrian-Automated Driving Vehicle Interaction with an External Human Machine Interface: Effects on Pedestrians' Situation Awareness, Trust, Perceived Risks and Decision Making
Creators: name: Liu, Hailong
name: Hirayama, Takatsugu
name: Watanabe, Masaya
Publisher: name: arXiv
Year: 2021
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Compared to a manual driving vehicle (MV), an automated driving vehicle lacks a way to communicate with the pedestrian through the driver when it interacts with the pedestrian because the driver usually does not participate in driving tasks. Thus, an external human machine interface (eHMI) can be viewed as a novel explicit communication method for providing driving intentions of an automated driving vehicle (AV) to pedestrians when they need to negotiate in an interaction, e.g., an encountering scene. However, the eHMI may not guarantee that the pedestrians will fully recognize the intention of the AV. In this paper, we propose that the instruction of the eHMI's rationale can help pedestrians correctly understand the driving intentions and predict the behavior of the AV, and thus their subjective feelings (i.e., dangerous feeling, trust in the AV, and feeling of relief) and decision-making are also improved. The results of an interaction experiment in a road-crossing scene indicate that the participants were more difficult to be aware of the situation when they encountered an AV w/o eHMI compared to when they encountered an MV; further, the participants' subjective feelings and hesitation in decision-making also deteriorated significantly. When the eHMI was used in the AV, the situational awareness, subjective feelings and decision-making of the participants regarding the AV w/ eHMI were improved. After the instruction, it was easier for the participants to understand the driving intention and predict driving behavior of the AV w/ eHMI. Further, the subjective feelings and the hesitation related to decision-making were improved and reached the same standards as that for the MV.
description: 5 figures, Accepted by IEEE IV2021
Additional file 1 of Person-centred medicine in the care home setting: development of a complex intervention
Creators: name: Høj, Kirsten
name: Bekker, Hilary Louise
name: Bro, Flemming
name: Olesen, Anne Estrup
name: Kristensen, Jette Kolding
name: Christensen, Line Due
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biological Sciences not elsewhere classified
Cancer
Science Policy
Computational Biology

description: Supplementary Material 1.
Social inclusion practices of elite universities in Australia and Malaysia: a comparative perspective
Creators: name: Mohamed Yusuf, Rosmi Yuhasni
Publisher: name: RMIT University
Year: 2024

description: Social inclusion as a concept in higher education features the broader elements of outreach activities, access initiatives and engagement of students in the teaching and learning process. The increased importance of social inclusion approaches is attributed to awareness that insufficient skills and incompetent levels of education may lead to poverty and social exclusion. Despite government emphasis on greater social inclusion, elite universities are still widely perceived as socially exclusive institutions. The influence from government and increasingly competitive higher education market have arguably been dictating these universities’ capacity in revamping their existing practices and formulating and implementing more socially inclusive ones. This research explores how participants within four selected elite universities in Australia and Malaysia perceive the influence of multiple institutional logics on their practices of social inclusion. This research utilised a cross-country-based case study approach, with four elite universities as the primary sample cases.

The findings revealed that social inclusion practices of elite universities in both countries are affected more by government policy frameworks than by the higher education market features and they do not seem to be adapting innovatively in broadening their social inclusiveness. Also, patterns of adaptations are country-specific and are not cross-country influenced. A similarity of practices between elite universities in each country is evident. In Australia, patterns of adaptations may include one of passive, mixed or active, whereas in Malaysia adaptations are either passive or mixed. The findings also revealed that the internal value of academic elitism and the element of quality from the higher education market features have significantly shaped the extent of social inclusion practices across the four elite universities. Overall, the key findings of the thesis indicated that the conceptualisation of social inclusion practices of the four elite universities is underpinned not by purely economic rationalities but by shared socially constructed meanings from embedded values within the two groups of government and market logics in Australia and Malaysia.

The research contributes to understanding how a plurality of institutional logics affects social inclusion practices in elite universities, which has implications for higher education institutions, governments, academics, the wider community and future research.
The Channel Between Randomly Oriented Dipoles: Statistics and Outage in the Near and Far Field
Creators: name: Dumphart, Gregor
name: Wittneben, Armin
Publisher: name: arXiv
Year: 2021
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: We consider the class of wireless links whose propagation characteristics are described by a dipole model. This comprises free-space links between dipole antennas and magneto-inductive links between coils, with important communication and power transfer applications. A dipole model describes the channel coefficient as a function of link distance and antenna orientations. In many use cases the orientations are random, causing a random fading channel. This paper presents a closed-form description of the channel statistics and the resulting outage performance for the case of i.i.d. uniformly distributed antenna orientations in 3D space. For reception in AWGN after active transmission, we show that the high-SNR outage probability scales like $p_\mathrm{e} \propto \mathrm{SNR}^{-1/2}$ in the near- or far-field region, i.e. the diversity exponent is just 1/2 (even 1/4 with backscatter or load modulation). The diversity exponent improves to 1 in the near-far-field transition due to polarization diversity. Analogous statements are made for the power transfer efficiency and outage capacity.
description: To appear at IEEE ICC 2021. This work has been submitted to the IEEE for publication. Copyright may be transferred without notice
Spacetime Path Integrals for Entangled States
Creators: name: Tyagi, Narayani
name: Wharton, Ken
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Although the path-integral formalism is known to be equivalent to conventional quantum mechanics, it is not generally obvious how to implement path-based calculations for multi-qubit entangled states. Whether one takes the formal view of entangled states as entities in a high-dimensional Hilbert space, or the intuitive view of these states as a connection between distant spatial configurations, it may not even be obvious that a path-based calculation can be achieved using only paths in ordinary space and time. Previous work has shown how to do this for certain special states; this paper extends those results to all pure two-qubit states, where each qubit can be measured in an arbitrary basis. Certain three-qubit states are also developed, and path integrals again reproduce the usual correlations. These results should allow for a substantial amount of conventional quantum analysis to be translated over into a path-integral perspective, simplifying certain calculations, and more generally informing research in quantum foundations.
description: 24 pages, 3 figures. Two new Appendices, version submitted to Foundations of Physics