cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The gamer and "The Game": pick-up artists from the perspective of game studies
Creators: name: Chen, Adrian
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: This thesis advances the notion if a 'gamer mode', and argues it to be observable outside of videogame contexts. This is demonstrated via an analysis of online pick-up artist forums, comparing the attitudes and behaviours of those groups to the criteria enumerated in Juul's (2005) 'classic game model'. The gamer mode of engagement is characterised by the perception of traditional game-like constructs (Frank, 2012). These include rulesets, adversaries, win-states, and other features that make the mode identifiable by resemblance to the player ideal of ludological game criteria. Such perspectives are then shown to be exemplified by pick-up artists; groups of men whose description of their practice as 'The Game' is suggestive of an operative gamer mode. It is pertinent to this discussion that pick-up artistry is highly gendered. The practice consists of strategies intended to effectively manipulate women into sexual situations. This aspect is examined through conceptualisations of gaming as masculinised (Fron, Fullerton, Morie, & Pearce, 2007), contributing to explanation of discrepancies between men and women in identification as a gamer (Shaw, 2012). The radical possibilities of pick-ups are also discussed in terms of the gamer mode. Following Connell's (1995) work on contemporary masculinities, I analyse how pick-up artists' responses to the expression of genuine male anxieties. Ultimately however, I conclude that pick-up lapses into leveraging of existing hegemonies, and that this occurs where it accords with the gamer mode. The gamer mode is thus argued not only to be observable, but also to facilitate a compliance with dominant social structures.
Single-particle Excitations and Effects of Hetero-pairing Fluctuations in a Bose-Fermi Mixture with a Feshbach Resonance
Creators: name: Kharga, Digvijay
name: Inotani, Daisuke
name: Hanai, Ryo
name: Ohashi, Yoji
Publisher: name: arXiv
Year: 2017
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We theoretically investigate normal-state properties of a gas mixture of single-component bosons and fermions with a hetero-nuclear Feshbach resonance. Including strong hetero-pairing fluctuations associated with the Feshbach resonance, we calculate single-particle density of states, as well as the spectral weight at various interaction strengths. For this purpose, we employ an improved T-matrix approximation (TMA), where the bare Bose Green's function in the non-selfconsistent TMA self-energy is modified so as to satisfy the Hugenholtz-Pines relation at the Bose-Einstein condensation (BEC) temperature $T_{\rm BEC}$. In the unitary regime at $T_{\rm BEC}$, we show that hetero-pairing fluctuations couple Fermi atomic excitations with Fermi molecular excitations, as well as with Bose atomic excitations. Although a similar coupling phenomenon by pairing fluctuations is known to give a pseudo-gapped density of states in the unitary regime of a two-component Fermi gas, such a dip structure is found to not appear even in the unitary limit of a Bose-Fermi mixture. It only appears in the strong-coupling regime. Instead, a spectral peak along the molecular dispersion appears in the spectral weight.We also clarify how this coupling phenomenon is seen in the Bose channel. Since a hetero-nuclear Feshbach resonance, as well as the formation of Bose-Fermi molecules, have been realized, our results would be useful for the study of strong-coupling properties of this unique quantum gas.
Dissipative Effects on Inertial-Range Statistics at High Reynolds numbers
Creators: name: Sinhuber, Michael
name: Bewley, Gregory P.
name: Bodenschatz, Eberhard
Publisher: name: arXiv
Year: 2017
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: Using the unique capabilities of the Variable Density Turbulence Tunnel at the Max Planck Institute for Dynamics and Self-Organization, Göttingen, we report experimental result on classical grid turbulence that uncover fine, yet important details of the structure functions in the inertial range. This was made possible by measuring extremely long time series of up to $10^{10}$ samples of the turbulent fluctuating velocity, which corresponds to $\mathcal{O}\left(10^5\right)$ large eddy turnover times. These classical grid measurements were conducted in a well-controlled environment at a wide range of high Reynolds numbers from $R_λ=110$ up to $R_λ=1600$, using both traditional hot-wire probes as well as NSTAP probes developed at Princeton University. We found that deviations from ideal scaling are anchored to the small scales and that dissipation influences the inertial-range statistics at scales larger than the near-dissipation range.
description: 6 pages, 5 figures
Funktionelle Charakterisierung von zerebellären Purkinjezellen eines Mausmodells des Morbus Niemann-Pick Typ C1
Creators: name: Rabenstein, Michael Jürgen
Publisher: name: Universität Rostock
Year: 2019
Subjects: subject: 610 Medical sciences Medicine

description: Morbus Niemann Pick Typ C1 (NPC1) ist durch den Verlust von zerebellären Purkinjezellen gekennzeichnet, der in einer zerebellären Ataxie zum Ausdruck kommt. Hierbei sind die zugrunde liegenden pathophysiologischen Vorgänge nur ungenügend verstanden. Ziel der vorliegenden Arbeit war es daher, mit funktionellen Messungen an Purkinjezellen eines NPC1-Mausmodels zu einem besseren Verständnis der pathophysiologischen Prozesse beizutragen und so Ansätze für neue Therapieoptionen des Morbus Niemann Pick Typ C1 zu entwickeln.
Machine Learning of Public Sentiments toward Wind Energy in Norway
Creators: name: Vågerö, Oskar
name: Bråte, Anders
name: Wittemann, Alexandra
name: Robinson, Jessica Yarin
name: Sirotko-Sibirskaya, Natalia
name: Zeyringer, Marianne
Publisher: name: arXiv
Year: 2023
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Across Europe negative public opinion has and may continue to limit the deployment of renewable energy infrastructure required for the transition to net-zero energy systems. Understanding public sentiment and its spatio-temporal variations is as such important for decision-making and socially accepted energy systems. In this study, we apply a sentiment classification model based on a machine learning framework for natural language processing, NorBERT, on data collected from Twitter between 2006 and 2022 to analyse the case of wind power opposition in Norway. From the 68828 tweets with geospatial information, we show how discussions about wind power intensified in 2018/2019 together with a trend of more negative tweets up until 2020, both on a regional level and for Norway as a whole. Furthermore, we find weak geographical clustering in our data, indicating that discussions are country wide and not dominated by specific regional events or developments. Twitter data allows for detailed insight into the temporal nature of public sentiments and extending this research to additional case studies of technologies, countries and sources of data (e.g. newspapers, other social media) may prove important to complement traditional survey research and the understanding of public sentiment.
description: 31 pages, 36 figures, 2 tables
Solving Parameter Estimation Problems with Discrete Adjoint Exponential Integrators
Creators: name: Römer, Ulrich
name: Narayanamurthi, Mahesh
name: Sandu, Adrian
Publisher: name: arXiv
Year: 2017
Subjects: subject: Optimization and Control (math.OC)
subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 34H05, 34K29, 34K35

description: The solution of inverse problems in a variational setting finds best estimates of the model parameters by minimizing a cost function that penalizes the mismatch between model outputs and observations. The gradients required by the numerical optimization process are computed using adjoint models. Exponential integrators are a promising family of time discretizations for evolutionary partial differential equations. In order to allow the use of these discretizations in the context of inverse problems adjoints of exponential integrators are required. This work derives the discrete adjoint formulae for a W-type exponential propagation iterative methods of Runge-Kutta type (EPIRK-W). These methods allow arbitrary approximations of the Jacobian while maintaining the overall accuracy of the forward integration. The use of Jacobian approximation matrices that do not depend on the model state avoids the complex calculation of Hessians in the discrete adjoint formulae, and allows efficient adjoint code generation via algorithmic differentiation. We use the discrete EPIRK-W adjoints to solve inverse problems with the Lorenz-96 model and a computational magnetics benchmark test. Numerical results validate our theoretical derivations.
Aspect marking in Australian Sign Language: a process of gestural verb modification
Creators: name: Gray, Michael
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: This study provides a corpus-­‐based description of aspect marking by means of verb modification in Australian Sign Language (Auslan). Signed languages are widely reported to make use of a process of verb modification to express aspectual information. These modifications have been analysed as inflectional morphology by many researchers (Klima & Bellugi, 1979; Rathmann, 2005), while some have suggested they are derivational (Maroney, 2004) or even ideophonic morphology (Bergman & Dahl, 1994). In this dissertation, I describe the categories of aspectual verb modification (AVM) found in Auslan. I also suggest that AVM does not form a morphological system, but is more consistently understood as a system of gestural modification. This analysis makes AVM congruent with the other major verbal modification systems in signed languages, depicting and indicating verbs, and also points, all of which I consider partially-­‐lexical structures (Johnston & Schembri, 2007; Liddell, 2003; Schembri, 2001). The gestural nature of these systems provides evidence that signed languages make extensive use of gestural representation to convey core grammatical information. This finding is consistent with a model of language that integrates both the linguistic and gestural elements in human communication (Enfield, 2009).
Deep learning approach for identification of HII regions during reionization in 21-cm observations -- II. foreground contamination
Creators: name: Bianco, Michele
name: Giri, Sambit. K.
name: Prelogović, David
name: Chen, Tianyue
name: Mertens, Florent G.
name: Tolley, Emma
name: Mesinger, Andrei
name: Kneib, Jean-Paul
Publisher: name: arXiv
Year: 2023
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: The upcoming Square Kilometre Array Observatory (SKAO) will produce images of neutral hydrogen distribution during the epoch of reionization by observing the corresponding 21-cm signal. However, the 21-cm signal will be subject to instrumental limitations such as noise and galactic foreground contamination which pose a challenge for accurate detection. In this study, we present the SegU-Net v2 framework, an enhanced version of our convolutional neural network, built to identify neutral and ionized regions in the 21-cm signal contaminated with foreground emission. We trained our neural network on 21-cm image data processed by a foreground removal method based on Principal Component Analysis achieving an average classification accuracy of 71 per cent between redshift $z=7$ to $11$. We tested SegU-Net v2 against various foreground removal methods, including Gaussian Process Regression, Polynomial Fitting, and Foreground-Wedge Removal. Results show comparable performance, highlighting SegU-Net v2's independence on these pre-processing methods. Statistical analysis shows that a perfect classification score with $AUC=95\%$ is possible for $8(10\, {\rm cMpc})^3$ at $z>9$, for follow-up studies with infrared/optical telescopes to detect these sources.
description: 19 pages, 10 figures, 3 tables, 2 appendixes
Invariant conservative finite-difference schemes for the one-dimensional shallow water magnetohydrodynamics equations in Lagrangian coordinates
Creators: name: Kaptsov, E. I.
name: Dorodnitsyn, V. A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: G.1.8
subject: 65M06, 76W05

description: Invariant finite-difference schemes for the one-dimensional shallow water equations in the presence of a magnetic field for various bottom topographies are constructed. Based on the results of the group classification recently carried out by the authors, finite-difference analogues of the conservation laws of the original differential model are obtained. Some typical problems are considered numerically, for which a comparison is made between the cases of a magnetic field presence and when it is absent (the standard shallow water model). The invariance of difference schemes in Lagrangian coordinates and the energy preservation on the obtained numerical solutions are also discussed.
description: 22 pages, 6 figures. This version (v7) has been specially prepared for publication in the Open Commun. Nonlinear Math. Phys., Special Issue in Memory of Professor Decio Levi. Notice that in the previous version (v5) of the paper an appendix was added with an informal discussion on stability issues. By the decision of the authors, this appendix was not included in v6 and v7
Identification of the white dwarf companion to millisecond pulsar J2317+1439
Creators: name: Dai, S.
name: Smith, M. C.
name: Wang, S.
name: Okamoto, S.
name: Xu, R. X.
name: Yue, Y. L.
name: Liu, J. F.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We report identification of the optical counterpart to the companion of the millisecond pulsar J2317+1439. At the timing position of the pulsar, we find an object with $g=22.96\pm0.05$, $r=22.86\pm0.04$ and $i=22.82\pm0.05$. The magnitudes and colors of the object are consistent with it being a white dwarf. By comparing with white dwarf cooling models, we estimate that it has a mass of $0.39^{+0.13}_{-0.10}$ M$_{\odot}$, an effective temperature of $8077^{+550}_{-470}$ K and a cooling age of $10.9\pm0.3$ Gyr. Combining our results with published constraints on the orbital parameters obtained through pulsar timing, we estimate the pulsar mass to be $3.4^{+1.4}_{-1.1}$ M$_{\odot}$. Although the constraint on the pulsar mass is still weak, there is a significant possibility that the pulsar could be more massive than two solar mass.
description: 7 pages, 6 figures, accepted for publication in ApJ
Additional file 7: of Perineural local anaesthetic catheter after major lower limb amputation trial (PLACEMENT): study protocol for a randomised controlled pilot study
Creators: name: Bosanquet, David
name: Ambler, Graeme
name: Cherry-Ann Waldron
name: Thomas-Jones, Emma
name: Brookes-Howell, Lucy
name: Kelson, Mark
name: Pickles, Tim
name: Harris, Debbie
name: Fitzsimmons, Deborah
name: Saxena, Neeraj
name: Twine, Christopher
Publisher: name: figshare
Year: 2017
Subjects: subject: Cell Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Developmental Biology
subject: Science Policy

description: Qualitative interview consent form, patient (DOCX 1469 kb)
Experimental online quantum dots charge autotuning using neural networks
Creators: name: Yon, Victor
name: Galaup, Bastien
name: Rohrbacher, Claude
name: Rivard, Joffrey
name: Morel, Alexis
name: Leclerc, Dominic
name: Godfrin, Clement
name: Li, Ruoyu
name: Kubicek, Stefan
name: De Greve, Kristiaan
name: Dupont-Ferrier, Eva
name: Beilliard, Yann
name: Melko, Roger G.
name: Drouin, Dominique
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences
subject: I.2.8; I.5.1
subject: 81V65 (Primary), 68T37 (Secondary)

description: Spin-based semiconductor qubits hold promise for scalable quantum computing, yet they require reliable autonomous calibration procedures. This study presents an experimental demonstration of online single-dot charge autotuning using a convolutional neural network integrated into a closed-loop calibration system. The autotuning algorithm explores the gates' voltage space to localize charge transition lines, thereby isolating the one-electron regime without human intervention. This exploration leverages the model's uncertainty estimation to find the appropriate gate configuration with minimal measurements while reducing the risk of failures. In 20 experimental runs, our method achieved a success rate of 95% in locating the target electron regime, highlighting the robustness of this approach against noise and distribution shifts from the offline training set. Each tuning run lasted an average of 2 hours and 9 minutes, primarily due to the limited speed of the current measurement. This work validates the feasibility of machine learning-driven real-time charge autotuning for quantum dot devices, advancing the development toward the control of large qubit arrays.
description: 7 pages (main) + 6 pages (supplementary)
ViDAS: Vision-based Danger Assessment and Scoring
Creators: name: Gupta, Pranav
name: Krishnan, Advith
name: Nanda, Naman
name: Eswar, Ananth
name: Agarwal, Deeksha
name: Gohil, Pratham
name: Goel, Pratyush
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: We present a novel dataset aimed at advancing danger analysis and assessment by addressing the challenge of quantifying danger in video content and identifying how human-like a Large Language Model (LLM) evaluator is for the same. This is achieved by compiling a collection of 100 YouTube videos featuring various events. Each video is annotated by human participants who provided danger ratings on a scale from 0 (no danger to humans) to 10 (life-threatening), with precise timestamps indicating moments of heightened danger. Additionally, we leverage LLMs to independently assess the danger levels in these videos using video summaries. We introduce Mean Squared Error (MSE) scores for multimodal meta-evaluation of the alignment between human and LLM danger assessments. Our dataset not only contributes a new resource for danger assessment in video content but also demonstrates the potential of LLMs in achieving human-like evaluations.
description: Preprint
Enumeration of Payphone Permutations
Creators: name: Alekseyev, Max A.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05A05, 05A15, 11Y55, 91F99

description: The desire for privacy significantly impacts various aspects of social behavior as illustrated by people's tendency to seek out the most secluded spot when multiple options are available. In particular, this can be seen at rows of payphones, where people tend to occupy an available payphone that is most distant from those already occupied. Assuming that there are n payphones in a row and that n people occupy payphones one after another as privately as possible, the resulting assignment of people to payphones defines a permutation, which we will refer to as a payphone permutation. In the present study, we consider different variations of payphone permutations and enumerate them.
title: From template to anchors: transfer of virtual pendulum posture control balance template to adaptive neuromuscular gait model increases walking stability
Creators: name: Davoodi, Ayoob
name: Mohseni, Omid
name: Seyfarth, Andre
name: Sharbafi, Maziar A.
Publisher: name: RSC Publishing
Year: 2022

description: Biomechanical models with different levels of complexity are of advantage to understand the underlying principles of legged locomotion. Following a minimalistic approach of gradually increasing model complexity based on Template & Anchor concept, in this paper, a spring-loaded inverted pendulumbased walking model is extended by a rigid trunk, hip muscles and reflex control, called nmF (neuromuscular force modulated compliant hip) model. Our control strategy includes leg force feedback to activate hip muscles (originated from the FMCH approach), and a discrete linear quadratic regulator for adapting muscle reflexes. The nmF model demonstrates human-like walking kinematic and dynamic features such as the virtual pendulum (VP) concept, inherited from the FMCH model. Moreover, the robustness against postural perturbations is two times higher in the nmF model compared to the FMCH model and even further increased in the adaptive nmF model. This is due to the intrinsic muscle dynamics and the tuning of the reflex gains. With this, we demonstrate, for the first time, the evolution of mechanical template models (e.g. VP concept) to a more physiological level (nmF model). This shows that the template model can be successfully used to design and control robust locomotor systems with more realistic system behaviours.
A Comprehensive Survey on Deep Graph Representation Learning
Creators: name: Ju, Wei
name: Fang, Zheng
name: Gu, Yiyang
name: Liu, Zequn
name: Long, Qingqing
name: Qiao, Ziyue
name: Qin, Yifang
name: Shen, Jianhao
name: Sun, Fang
name: Xiao, Zhiping
name: Yang, Junwei
name: Yuan, Jingyang
name: Zhao, Yusheng
name: Wang, Yifan
name: Luo, Xiao
name: Zhang, Ming
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Graph representation learning aims to effectively encode high-dimensional sparse graph-structured data into low-dimensional dense vectors, which is a fundamental task that has been widely studied in a range of fields, including machine learning and data mining. Classic graph embedding methods follow the basic idea that the embedding vectors of interconnected nodes in the graph can still maintain a relatively close distance, thereby preserving the structural information between the nodes in the graph. However, this is sub-optimal due to: (i) traditional methods have limited model capacity which limits the learning performance; (ii) existing techniques typically rely on unsupervised learning strategies and fail to couple with the latest learning paradigms; (iii) representation learning and downstream tasks are dependent on each other which should be jointly enhanced. With the remarkable success of deep learning, deep graph representation learning has shown great potential and advantages over shallow (traditional) methods, there exist a large number of deep graph representation learning techniques have been proposed in the past decade, especially graph neural networks. In this survey, we conduct a comprehensive survey on current deep graph representation learning algorithms by proposing a new taxonomy of existing state-of-the-art literature. Specifically, we systematically summarize the essential components of graph representation learning and categorize existing approaches by the ways of graph neural network architectures and the most recent advanced learning paradigms. Moreover, this survey also provides the practical and promising applications of deep graph representation learning. Last but not least, we state new perspectives and suggest challenging directions which deserve further investigations in the future.
description: Accepted by Neural Networks 2024
IN03099 Poḷonnaruva Slab Inscription of Sāhasa-Malla
Creators: name: Wickremasinghe, Don Martino de Zilva
Publisher: name: Zenodo
Year: 2020
Subjects: IN03099
Epigraphia Zeylanica
Poḷonnaruva
Polonnaruwa
Sāhasa-Malla

description: IN03099 Poḷonnaruva Slab Inscription of Sāhasa-Malla - Transcript and Translation Source: Wickremasinghe, Don Martino de Zilva. (1912-27). ‘No. 36. Poḷonnaruva: Slab-Inscription of Sāhasa-Malla,’ Epigraphia Zeylanica 2, pp. 219-229.
Band-center metal-insulator transition in bond-disordered graphene
Creators: name: Nayak, Naba P.
name: Sarkar, Surajit
name: Damle, Kedar
name: Bera, Soumya
Publisher: name: arXiv
Year: 2023
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We study the transport properties of a tight-binding model of non-interacting fermions with random hopping on the honeycomb lattice. At the particle-hole symmetric chemical potential, the absence of diagonal disorder (random onsite potentials) places the system in the well-studied chiral orthogonal universality class of disordered fermion problems, which are known to exhibit both a critical metallic phase and a dimerization-induced localized phase. Here, our focus is the behavior of the two-terminal conductance and the Lyapunov spectrum in quasi-1D geometry near the dimerization-driven transition from the metallic to the localized phase. For a staggered dimerization pattern on the square and honeycomb lattices, we find that the renormalized localization length $ξ/M$ ($M$ denotes the width of the sample) and the typical conductance display scaling behavior controlled by a crossover length-scale that diverges with exponent $ν\approx 1.05(5)$ as the critical point is approached. However, for the plaquette dimerization pattern, we observe a relatively large exponent $ν\approx 1.55(5)$ revealing an apparent non-universality of the delocalization-localization transition in the BDI symmetry class.
description: 8+3 pages, 7 figures
Impact of ambiguity tolerance as a personal trait and impact of tertiary education on professional judgment
Creators: name: Han, Yingying
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: In assessing the merits and challenges of using principles-based standards like International Financial Reporting Standards (IFRS), limited attention has been given to the notion that accountants may not be equipped with the relevant education and expertise to tolerate the ambiguity in these standards. This thesis investigates the potential role of the personal trait of ambiguity tolerance in the acceptance by tertiary accounting students of the ambiguity found in IFRS, and then examines whether tertiary accounting education assists them to develop the relevant expertise to tolerate this ambiguity and exercise appropriate professional judgment. Ten accounting topics have been selected and extracts from the relevant IFRS and U.S. GAAP on those topics have been included in the survey for tertiary accounting students to indicate their level of preference for using IFRS in exercising their judgment. Examining the link between the personal trait of ambiguity tolerance and its influence on the judgment of future financial report preparers gives an insight into how regulatory bodies such as the International Accounting Standards Board (IASB) can further improve IFRS to make them easier to understand and apply. This is especially valuable at a time when principles-based IFRS are increasingly being adopted throughout the world.
Wireless powering of RFID devices
Creators: name: Qu, Chenggong
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: In recent years, there is a significant increasing in the demand for biomedical plants. Research shows that a larger number of Australians require implantable biomedical devices every year such as pacemakers, Cochlear implants and cardiovascular implants. Figures indicate that the number of pacemakers sold in Australia was 12523 in 2009. However, the number reached 15203 in 2013 with an annual increasing rate of 4.28%. However, most of the implantable devices remain restricted due to certain constraints. The power supply is one of the dominating factors that limits the use of biomedical implants because such devices need to function at a stable, efficient and reliable rate for a periodof time (normally for years). Currently, batteries are mostly used for powering implantable devices; however, it cannot be a desirable solution due to its short-comings such as size, the risk of infection and need of replacement. Consequently, this project aims to develop a wireless charging system that can be implanted into the human body with no need of replacing the battery. This project will define and quantify the tradeoffs between power requirement, lifetime and functionality for such systems. This document presents the outcomes of this project highlighting the problems encountered and solutions devised.
Interruption-Aware Cooperative Perception for V2X Communication-Aided Autonomous Driving
Creators: name: Ren, Shunli
name: Lei, Zixing
name: Wang, Zi
name: Dianati, Mehrdad
name: Wang, Yafei
name: Chen, Siheng
name: Zhang, Wenjun
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Cooperative perception can significantly improve the perception performance of autonomous vehicles beyond the limited perception ability of individual vehicles by exchanging information with neighbor agents through V2X communication. However, most existing work assume ideal communication among agents, ignoring the significant and common \textit{interruption issues} caused by imperfect V2X communication, where cooperation agents can not receive cooperative messages successfully and thus fail to achieve cooperative perception, leading to safety risks. To fully reap the benefits of cooperative perception in practice, we propose V2X communication INterruption-aware COoperative Perception (V2X-INCOP), a cooperative perception system robust to communication interruption for V2X communication-aided autonomous driving, which leverages historical cooperation information to recover missing information due to the interruptions and alleviate the impact of the interruption issue. To achieve comprehensive recovery, we design a communication-adaptive multi-scale spatial-temporal prediction model to extract multi-scale spatial-temporal features based on V2X communication conditions and capture the most significant information for the prediction of the missing information. To further improve recovery performance, we adopt a knowledge distillation framework to give explicit and direct supervision to the prediction model and a curriculum learning strategy to stabilize the training of the model. Experiments on three public cooperative perception datasets demonstrate that the proposed method is effective in alleviating the impacts of communication interruption on cooperative perception.
title: ADCO, Grènetier de Cîteaux : comptes (1499-1503) (11 H 1173), f. 00301
Creators: name: de la Côte-d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CBMA/CG21/F.PETOT/2019
name: Petot, Frédéric
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: comptes

description: Grènetier de Cîteaux : comptes (1499-1503), Archives départementales de la Côte-d'Or, (11 H 1173). Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Grènetier de Cîteaux : comptes (1499-1503), Archives départementales de la Côte-d'Or, (11 H 1173), f. 00301, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https://manuscrits.cbma-project.eu/
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
title: Cartagena en obra negra: Racialización del trabajo y cerramiento espacial en la periferia
Creators: name: Meza, Carlos Andrés
Publisher: name: Confluenze. Rivista di Studi Iberoamericani
Year: 2019
Subjects: Race; ethnicity; urban development; social enclosure

description: The structural process of accumulation of control of land on the coastal edge of the district of Cartagena de Indias has been characterized by continuous privatizations of communal spaces and public assets.  The benefits of localization that offer the soil in the coastal area have carried to the privatization of beaches and the gentrification radiated from the historic center to the peri-urban areas. I pose that this development model urbanization has allowed investors to take advantage of marginalization and work in peri-urban areas absorbing them as cheap labor in a complex of servile relations that is reproduced incessantly. At the end, I will reflect on the role played by the local and central state in all this, insofar as it is capable of linking discourse about development with racial and ethnic classifications.
Resource and location sharing in wireless networks
Creators: name: Stegehuis, Clara
name: Weedage, Lotte
Publisher: name: arXiv
Year: 2023
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Probability (math.PR)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: With more and more demand from devices to use wireless communication networks, there has been an increased interest in resource sharing among operators, to give a better link quality. However, in the analysis of the benefits of resource sharing among these operators, the important factor of co-location is often overlooked. Indeed, often in wireless communication networks, different operators co-locate: they place their base stations at the same locations due to cost efficiency. We therefore use stochastic geometry to investigate the effect of co-location on the benefits of resource sharing. We develop an intricate relation between the co-location factor and the optimal radius to operate the network, which shows that indeed co-location is an important factor to take into account. We also investigate the limiting behavior of the expected gains of sharing, and find that for unequal operators, sharing may not always be beneficial when taking co-location into account.
Forecasting exchange rate based on macroeconomic variables: a GVAR approach
Creators: name: Nandini, Vidhi
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: In this thesis, we conduct this study to forecast real effective exchange rate based on macroeconomic variables such as unemployment rate, real interest rate, current share price, industrial production, terms of trade and terms spread along with a global variable real commodity price index. We employ Global Vector Autoregression model (GVAR) developed by Pesaran (2004) and analyse the global impact of the country specific domestic variables on various exchange rates. Our empirical analysis with the help of impulse response reveals that positive shock to the UK and US share price has significant impact on Canadian dollar. Furthermore, a positive shock to the real commodity price index reflects some striking result, narrating that it has significant impact not only on the exchange rate but also on the real interest rate,terms of trade and industrial production. Using newly assembled data and hitherto applied methodologies; we believe that this study imparts valuable insights into the role of the macroeconomic variable on the foreign exchange rate market.
Additional file 6: of Perineural local anaesthetic catheter after major lower limb amputation trial (PLACEMENT): study protocol for a randomised controlled pilot study
Creators: name: Bosanquet, David
name: Ambler, Graeme
name: Cherry-Ann Waldron
name: Thomas-Jones, Emma
name: Brookes-Howell, Lucy
name: Kelson, Mark
name: Pickles, Tim
name: Harris, Debbie
name: Fitzsimmons, Deborah
name: Saxena, Neeraj
name: Twine, Christopher
Publisher: name: figshare
Year: 2017
Subjects: subject: Cell Biology
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Science Policy

description: Qualitative interview consent form, healthcare professional (DOCX 416 kb)
Solitonic dynamics and excitations of the nonlinear Schrodinger equation with third-order dispersion in non-Hermitian PT-symmetric potentials
Creators: name: Chen, Yong
name: Yan, Zhenya
Publisher: name: arXiv
Year: 2017
Subjects: subject: Pattern Formation and Solitons (nlin.PS)
subject: Mathematical Physics (math-ph)
subject: Spectral Theory (math.SP)
subject: Optics (physics.optics)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: Solitons are of the important significant in many fields of nonlinear science such as nonlinear optics, Bose-Einstein condensates, plamas physics, biology, fluid mechanics, and etc.. The stable solitons have been captured not only theoretically and experimentally in both linear and nonlinear Schrodinger (NLS) equations in the presence of non-Hermitian potentials since the concept of the parity-time (PT)-symmetry was introduced in 1998. In this paper, we present novel bright solitons of the NLS equation with third-order dispersion in some complex PT-symmetric potentials (e.g., physically relevant PT-symmetric Scarff-II-like and harmonic-Gaussian potentials). We find stable nonlinear modes even if the respective linear PT-symmetric phases are broken. Moreover, we also use the adiabatic changes of the control parameters to excite the initial modes related to exact solitons to reach stable nonlinear modes. The elastic interactions of two solitons are exhibited in the third-order NLS equation with PT-symmetric potentials. Our results predict the dynamical phenomena of soliton equations in the presence of third-order dispersion and PT-symmetric potentials arising in nonlinear fiber optics and other physically relevant fields.
description: 11 pages, 8 figures
Note Illustrative della Carta geologica d'Italia alla scala 1:50.000 F. 200 Reggio nell'Emilia, Servizio Geologico d'Italia - ISPRA
Creators: name: Pizziolo, M.
name: Segadelli, S.
name: Vaiani, S.C.
Publisher: name: INFN Open Access Repository
Year: 2016
Subjects: carta geologica, Reggio nell'Emilia, Emilia-Romagna, Pianura Padana, CARG, stratigrafia, tettonica, sottosuolo, geological map, stratigraphy, tectonics, subsurface

description: Note illustrative redatte per il Foglio geologico n. 200 Reggio nell’Emilia della Carta Geologica d'Italia alla scala 1:50.000. 110 pp.
Additional file 6: Table S5. of Bidirectional transcription initiation marks accessible chromatin and is not specific to enhancers
Creators: name: Young, Robert
name: Yatendra Kumar
name: Bickmore, Wendy
name: Taylor, Martin
Publisher: name: figshare
Year: 2017
Subjects: subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Developmental Biology
subject: Cancer
subject: Plant Biology

description: Primer sequences, coordinates, and reporter construct activities measured in HepG2 cells. (DOC 294 kb)
Rhythmic movement: the role of expectancy and skill in event and emergent timing
Creators: name: Janzen, Thenille Braun
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: Recent investigations suggest that rhythmic movements rely on two distinct timingsystems: event and emergent timing. Event timing is based on an explicit internalrepresentation of the temporal interval marked by clear perceptual detectible events, whereasemergent timing is derived from the dynamics of smooth and continuous movements. Crucialaspects of the distinction between these mechanisms remain unclear. This thesis investigatesthe role of expectancy and skill in the internal representation of time in event and emergenttiming. Chapter 1 introduces the theoretical framework that supports the differentiationbetween event and emergent timing mechanisms and presents the hypotheses that were tested.Chapter 2 describes a series of five experiments that investigated the role of expectancythrough the examination of the effect of a single unexpected perturbation of feedback content(e.g. pitch, timbre, intensity) on timing of finger tapping. Chapter 3 expands this question byinvestigating the effect of unexpected auditory perturbations on two types of timedmovements: finger tapping and circle drawing. The role of expertise and training on motortiming is the subject of discussion of Chapters 4 to 6, where a total of 4 experiments tested theeffect of expertise and music training on accuracy of finger tapping and circle drawing tasks.More specifically, Chapter 4 compares accuracy levels of experts in movement-basedactivities (music and sports) with non experts. Chapters 5 and 6 focus on the effect of musictraining on event and emergent timing in students of 10 to 14 years of age. Finally, Chapter 7reviews and discusses the main findings of this body of work with respect to current theoriesof timing and movement. Foremost, these data challenge current models of humanmovements controlled by event and emergent timing mechanisms demonstrating thatexpectancy and training are crucial in determining the timing strategy and the type ofexpectancy mechanisms adopted to perform distinct rhythmic movements.
Synthetic Datasets for Autonomous Driving: A Survey
Creators: name: Song, Zhihang
name: He, Zimin
name: Li, Xingyu
name: Ma, Qiming
name: Ming, Ruibo
name: Mao, Zhiqi
name: Pei, Huaxin
name: Peng, Lihui
name: Hu, Jianming
name: Yao, Danya
name: Zhang, Yi
Publisher: name: arXiv
Year: 2023
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Autonomous driving techniques have been flourishing in recent years while thirsting for huge amounts of high-quality data. However, it is difficult for real-world datasets to keep up with the pace of changing requirements due to their expensive and time-consuming experimental and labeling costs. Therefore, more and more researchers are turning to synthetic datasets to easily generate rich and changeable data as an effective complement to the real world and to improve the performance of algorithms. In this paper, we summarize the evolution of synthetic dataset generation methods and review the work to date in synthetic datasets related to single and multi-task categories for to autonomous driving study. We also discuss the role that synthetic dataset plays the evaluation, gap test, and positive effect in autonomous driving related algorithm testing, especially on trustworthiness and safety aspects. Finally, we discuss general trends and possible development directions. To the best of our knowledge, this is the first survey focusing on the application of synthetic datasets in autonomous driving. This survey also raises awareness of the problems of real-world deployment of autonomous driving technology and provides researchers with a possible solution.
description: 19 pages, 5 figures
Additional file 1: of Evolution of blue-flowered species of genus Linum based on high-throughput sequencing of ribosomal RNA genes
Creators: name: Bolsheva, Nadezhda
name: Melnikova, Nataliya
name: Kirov, Ilya
name: Speranskaya, Anna
name: Krinitsina, Anastasia
name: Dmitriev, Alexey
name: Belenikin, Maxim
name: Krasnov, George
name: Lakunina, Valentina
name: Snezhkina, Anastasiya
name: Rozhmina, Tatiana
name: Samatadze, Tatiana
name: Yurkevich, Olga
name: Zoshchuk, Svyatoslav
name: ĐLexandra Amosova
name: Kudryavtseva, Anna
name: Muravenko, Olga
Publisher: name: figshare
Year: 2017
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Evolutionary Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology

description: The studied accessions of the genus Linum. (DOC 99Â kb)
title: Synthesis, oxide formation, properties and thin film transistor properties of yttrium and aluminium oxide thin films employing a molecular-based precursor route
Creators: name: Koslowski, Nico
name: Hoffmann, Rudolf C.
name: Trouillet, Vanessa
name: Bruns, Michael
name: Foro, Sabine
name: Schneider, Jörg J.
Publisher: name: Royal Society of Chemistry
Year: 2022

description: Combustion synthesis of dielectric yttrium oxide and aluminium oxide thin films is possible by introducing a molecular single-source precursor approach employing a newly designed nitro functionalized malonato complex of yttrium (Y-DEM-NO₂1) as well as defined urea nitrate coordination compounds of yttrium (Y-UN 2) and aluminium (Al-UN 3). All new precursor compounds were extensively characterized by spectroscopic techniques (NMR/IR) as well as by single-crystal structure analysis for both urea nitrate coordination compounds. The thermal decomposition of the precursors 1–3 was studied by means of differential scanning calorimetry (DSC) and thermogravimetry coupled with mass spectrometry and infrared spectroscopy (TG-MS/IR). As a result, a controlled thermal conversion of the precursors into dielectric thin films could be achieved. These oxidic thin films integrated within capacitor devices are exhibiting excellent dielectric behaviour in the temperature range between 250 and 350 °C, with areal capacity values up to 250 nF cm⁻², leakage current densities below 1.0 × 10⁻⁹ A cm⁻² (at 1 MV cm⁻¹) and breakdown voltages above 2 MV cm⁻¹. Thereby the increase in performance at higher temperatures can be attributed to the gradual conversion of the intermediate hydroxy species into the respective metal oxide which is confirmed by X-ray photoelectron spectroscopy (XPS). Finally, a solution-processed YxOy based TFT was fabricated employing the precursor Y-DEM-NO21. The device exhibits decent TFT characteristics with a saturation mobility (μsat) of 2.1 cm² V⁻¹ s⁻¹, a threshold voltage (Vth) of 6.9 V and an on/off current ratio (Ion/off) of 7.6 × 10⁵.
Euler's factorial series and global relations
Creators: name: Matala-aho, Tapani
name: Zudilin, Wadim
Publisher: name: arXiv
Year: 2017
Subjects: subject: Number Theory (math.NT)
subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 11J72, 11K60, 33C20, 41A20

description: Using Padé approximations to the series $E(z)=\sum_{k=0}^\infty k!(-z)^k$, we address arithmetic and analytical questions related to its values in both $p$-adic and Archimedean valuations.
description: 9 pages