cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Solving quantum rotor model with different Monte Carlo techniques
Creators: name: Jiang, Weilun
name: Pan, Gaopei
name: Liu, Yuzhi
name: Meng, Zi Yang
Publisher: name: arXiv
Year: 2019
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We systematically test the performance of several Monte Carlo update schemes for the $(2+1)$d XY phase transition of quantum rotor model. By comparing the local Metropolis (LM), LM plus over-relaxation (OR), Wolff-cluster (WC), hybrid Monte Carlo (HM), hybrid Monte Carlo with Fourier acceleration (FA) scheme, it is clear that among the five different update schemes, at the quantum critical point, the WC and FA schemes acquire the smallest autocorrelation time and cost the least amount of CPU hours in achieving the same level of relative error, and FA enjoys a further advantage of easily implementable for more complicated interactions such as the long-range ones. These results bestow one with the necessary knowledge of extending the quantum rotor model, which plays the role of ferromagnetic/antiferromagnetic critical bosons or Z$_2$ topological order, to more realistic and yet challenging models such as Fermi surface Yukawa-coupled to quantum rotor models.
description: 12 pages, 8 figures
EXPEDIS: An Exact Penalty Method over Discrete Sets
Creators: name: Gusmeroli, Nicolo
name: Wiegele, Angelika
Publisher: name: arXiv
Year: 2019
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: We address the problem of minimizing a quadratic function subject to linear constraints over binary variables. We introduce the exact solution method called EXPEDIS where the constrained problem is transformed into a max-cut instance, and then thewhole machinery available for max-cut can be used to solve the transformed problem. We derive the theory in order to find a transformation in the spirit of an exact penalty method; however, we are only interested in exactness over the set of binary variables. In order to compute the maximum cut we use the solver BiqMac. Numerical results show that this algorithm can be successfully applied on various classes of problems.
Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning
Creators: name: Li, Wenqing
name: Yang, Chuhan
name: Jabari, Saif Eddin
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optimization and Control (math.OC)
subject: Machine Learning (cs.LG)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: This paper addresses the problem of short-term traffic prediction for signalized traffic operations management. Specifically, we focus on predicting sensor states in high-resolution (second-by-second). This contrasts with traditional traffic forecasting problems, which have focused on predicting aggregated traffic variables, typically over intervals that are no shorter than 5 minutes. Our contributions can be summarized as offering three insights: first, we show how the prediction problem can be modeled as a matrix completion problem. Second, we employ a block-coordinate descent algorithm and demonstrate that the algorithm converges in sub-linear time to a block coordinate-wise optimizer. This allows us to capitalize on the "bigness" of high-resolution data in a computationally feasible way. Third, we develop an ensemble learning (or adaptive boosting) approach to reduce the training error to within any arbitrary error threshold. The latter utilizes past days so that the boosting can be interpreted as capturing periodic patterns in the data. The performance of the proposed method is analyzed theoretically and tested empirically using both simulated data and a real-world high-resolution traffic dataset from Abu Dhabi, UAE. Our experimental results show that the proposed method outperforms other state-of-the-art algorithms.
Swing that thing: moving to move: the poetics of embodied engagement
Creators: name: Wilde, Danielle
Publisher: name: Monash University
Year: 2017
Subjects: Uncategorized

description: Swing that thing : moving to move represents a systematic investigation of the poetic valence of body-worn technological extension. Gestural, mechanical and sensorial extension are explored and evaluated. The impact of different choices throughout the development process are considered, and theories relating to language, movement and cognition, as well as defamiliarisation and enchantment are leant upon to arrive at an emergent definition of a poetics of embodied engagement. Focusing on the body and its capacity for movement opens up opportunities to develop deeply felt experiences that take us far beyond pragmatic considerations of functionality or practicality. Pairing technology with the body is not new. Yet embodied engagement has only recently emerged as a field of interest in its own right, despite the fact that moving is central to life. Humour, passion and empathy are desirable attributes through which to engage people. Through the praxis I demonstrate that core- and full-body engagement in ambiguous and playful situations, assist designer and participant to arrive at deeply felt understandings of embodied existence, and thereby re-imagine body-technology scenarios to mitigate unmet desires. This research champions a number of key ideas. If we engage the body through the imagination and the imagination through the body, we can blur distinctions between art and everyday life. Doing so may result in transformative outcomes in contexts that are not usually considered cultural. By beginning with the body, rather than a perceived opportunity to redesign and thereby improve, I have been able to develop systems and processes that afford clumsy, as well as skilled engagement. Participation has thereby been democratized. The results are artefacts and opportunities for embodied engagement in cultural contexts, as well as in abilitation and learning.
Awards: Winner of the Mollie Holman Doctoral Medal for Excellence, Faculty of Art and Design, 2011.
Additional file 1: of Predictive values of diagnostic codes for identifying serious hypocalcemia and dermatologic adverse events among women with postmenopausal osteoporosis in a commercial health plan database
Creators: name: Wang, Florence
name: Xue, Fei
name: Ding, Yan
name: Ng, Eva
name: Critchlow, Cathy
name: Dore, David
Publisher: name: figshare
Year: 2018
Subjects: subject: Space Science
subject: Medicine
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Developmental Biology
subject: Computational Biology

description: Table S1. Algorithm for identifying post-menopausal osteoporosis. (DOCX 14Â kb)
Importance Gaussian Quadrature
Creators: name: Elvira, Víctor
name: Martino, Luca
name: Closas, Pau
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computation (stat.CO)
subject: FOS: Computer and information sciences

description: Importance sampling (IS) and numerical integration methods are usually employed for approximating moments of complicated target distributions. In its basic procedure, the IS methodology randomly draws samples from a proposal distribution and weights them accordingly, accounting for the mismatch between the target and proposal. In this work, we present a general framework of numerical integration techniques inspired by the IS methodology. The framework can also be seen as an incorporation of deterministic rules into IS methods, reducing the error of the estimators by several orders of magnitude in several problems of interest. The proposed approach extends the range of applicability of the Gaussian quadrature rules. For instance, the IS perspective allows us to use Gauss-Hermite rules in problems where the integrand is not involving a Gaussian distribution, and even more, when the integrand can only be evaluated up to a normalizing constant, as it is usually the case in Bayesian inference. The novel perspective makes use of recent advances on the multiple IS (MIS) and adaptive (AIS) literatures, and incorporates it to a wider numerical integration framework that combines several numerical integration rules that can be iteratively adapted. We analyze the convergence of the algorithms and provide some representative examples showing the superiority of the proposed approach in terms of performance.
Additional file 1: of H19 overexpression promotes leukemogenesis and predicts unfavorable prognosis in acute myeloid leukemia
Creators: name: Zhang, Ting-juan
name: Zhou, Jing-dong
name: Zhang, Wei
name: Lin, Jiang
name: Ma, Ji-chun
name: Wen, Xiang-mei
name: Yuan, Qian
name: Li, Xi-xi
name: Xu, Zi-jun
name: Qian, Jun
Publisher: name: figshare
Year: 2018
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Hematology

description: Table S1. Primers used for RQ-PCR, RQ-MSP, and BSP. (DOCX 16 kb)
Compressed Sensing with 1D Total Variation: Breaking Sample Complexity Barriers via Non-Uniform Recovery
Creators: name: Genzel, Martin
name: März, Maximilian
name: Seidel, Robert
Publisher: name: arXiv
Year: 2020
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences
subject: 42C40, 68Q25, 94A12, 94A20

description: This paper investigates total variation minimization in one spatial dimension for the recovery of gradient-sparse signals from undersampled Gaussian measurements. Recently established bounds for the required sampling rate state that uniform recovery of all $s$-gradient-sparse signals in $\mathbb{R}^n$ is only possible with $m \gtrsim \sqrt{s n} \cdot \text{PolyLog}(n)$ measurements. Such a condition is especially prohibitive for high-dimensional problems, where $s$ is much smaller than $n$. However, previous empirical findings seem to indicate that this sampling rate does not reflect the typical behavior of total variation minimization. The present work provides a rigorous analysis that breaks the $\sqrt{s n}$-bottleneck for a large class of "natural" signals. The main result shows that non-uniform recovery succeeds with high probability for $m \gtrsim s \cdot \text{PolyLog}(n)$ measurements if the jump discontinuities of the signal vector are sufficiently well separated. In particular, this guarantee allows for signals arising from a discretization of piecewise constant functions defined on an interval. The key ingredient of the proof is a novel upper bound for the associated conic Gaussian mean width, which is based on a signal-dependent, non-dyadic Haar wavelet transform. Furthermore, a natural extension to stable and robust recovery is addressed.
Patterns within problem-based learning: how a prior mathematics failure affects engineering diploma students
Creators: name: Rajalingam, Preman
Publisher: name: Monash University
Year: 2017
Subjects: Uncategorized

description: Historically, the progress of engineering has been so closely associated with the progress of mathematics that some have found it hard to separate the two disciplines. Within engineering education, it is often taken for granted that a good engineering student is also good at mathematics. Thus, prior performance in mathematics is usually an important consideration for admission into most engineering programmes. This doctoral study was conducted in a unique context at a polytechnic in Singapore, where a small number of students who failed mathematics were admitted into engineering programmes, and Problem-Based Learning (PBL) was the dedicated pedagogical approach. The aims of this study were to identify important issues in engineering education that were associated with prior mathematic performance, and to understand the experiences of those engineering students who had failed mathematics. The study adopted a mixed method research design; quantitative data were collected from 1217 students using an institution-wide survey, and nine students who failed mathematics were interviewed to collect qualitative data. The quantitative findings showed that the effect of prior mathematics performance on performance in engineering courses was small, compared to its effect on psychological characteristics such as academic confidence and intrinsic motivation. In addition, a prior failure in mathematics generally led students to form certain qualitatively different “Conceptions of Mathematics”, which adversely affected their “Conceptions of Engineering”. These conceptions were linked to their academic confidence and intrinsic motivation, which in turn influenced their intention to persist in engineering. Based on these findings and relevant educational theories, a model was proposed to explain why the students’ prior experiences in mathematics influenced their learning in engineering as well as their motivation for an engineering career. This study lends support to the notion that the psychological outcomes of engineering education should be considered as important as its cognitive outcomes, in making pedagogical and policy decisions.
Developing advanced particle manipulation techniques in microfluidic systems
Creators: name: Xu, Lin
Publisher: name: Monash University
Year: 2017
Subjects: Uncategorized

description: Advanced particle manipulation techniques with synergistic effects of low cost, high degrees of controllability, precision, and delicateness have been developed. In particular, the one-dimensional pressure fields in a microfluidic channel device driven by a piezoelectric plate have been investigated. Particles lines were observed along the channel when corresponding resonant frequencies applied. The more complex two-dimensional pressure fields excited by one electrode in the microfluidic channel were also investigated. Single array of particles clumps have been achieved by switching between two frequencies. Additionally, two arrays of particles clumps were observed by sweeping frequency rapidly. Furthermore, particles levitation was observed under certain excitation frequency. Based on the knowledge gained from the microfluidic channel, a microfluidic chamber was conducted in the development of ultrasonic technique. Cavitation bubbles driven by the standing wave generated in the chamber have been studied. Various oscillation modes of the bubbles were also studied. Additionally, the vibrating bubbles as size-based particle selective mechanism were examined. Size varied particles either been attracted (larger particles dominated by Bjerknes force) or repelled (smaller particles dominated by drag force) by the bubble were achieved. As an alternative to the ultrasonic particle manipulation methods, the development of particles forming in lines by capillary flow due to water evaporation has also been demonstrated in this thesis. Particles behaviour has been investigated in a capillary cell formed by a parallel glass slide and a glass cover slip. Particles remaining in hydrated while assembled and harvested in batches were shown. Finally, the establishment of advanced strategies for using the float-sink scheme to selecting single fragile particles has been conducted. A droplet dispensed directly above the selected particle floating on the liquid surface was demonstrated to cause the particle to sink even when the particle was within a floating cluster.
Intention to leave and employee turnover: expanding understanding of key antecedents in the modern workforce
Creators: name: Voigt, Emily Anne
Publisher: name: Monash University
Year: 2017
Subjects: Uncategorized

description: This research expanded understanding of the key antecedents of intention to leave and employee turnover in a sample of retail banking employees from a large Australian-based financial institution. In three empirical studies, this research provided unique insights into today‘s workforce and deepened understanding of how work related factors influence intention to leave and turnover. The first study compared the relationships between work attitudes and intention to leave for part-time and full-time employees. By conducting structural equation modelling, the direct and indirect relationships between workplace attitudes and intention to leave for part time and full time employees were examined. It was found that job satisfaction was more important to consider in retention of full-time employees and affective commitment was more important to consider for part-time employees. There were no significant differences in relationships between indirect antecedents based on employment status, however some significant indirect relationships were found. The second study adds to our understanding by examining the similarities and differences in predictors of intention to leave and turnover. Results indicated that decreased affective commitment, job satisfaction, perceived organisational support and age predicted intention to leave. In contrast, decreased performance, continuance commitment and increased intention to leave predicted actual turnover. Implications for these differences in understanding the turnover process were discussed. In the third study this research offered a unique approach to understanding how combinations of motivation, commitment and performance may differentially impact intention to leave. To expand understanding about why employees of varying performance may consider leaving, interactions between these factors in predicting intention to leave were investigated. Results indicated that high performing employees with a strong promotion focus or high affective commitment reported significantly lower intention to leave compared to low performing employees. Theoretical implications for models of intrinsic sources of motivation as well as the practical implications for talent retention strategies were discussed.
Application reliability framework in wireless sensor networks
Creators: name: Mohammad, Masumuzzaman Bhuiyan
Publisher: name: Monash University
Year: 2017
Subjects: Uncategorized

description: Wireless sensor networks (WSNs) came into reality after the advancements in miniaturization and low-cost low-power circuit design technologies. Now-a-days, sensor networks are being widely used to support a large variety of applications. As sensor nodes are generally power constrained, most of the research works put great emphasis on energy conservation of sensor nodes. The primary objective of this dissertation is to ensure data reliability of the networks, without which an extended network lifetime brings little benefit. The required level of data reliability depends on the criticality of the applications. However, data reliability in WSNs can be characterised in terms of node-level reliability and network-level reliability. Extended node lifetime ensures node-level data collection reliability whereas successful data transportation to the sink ensures network-level application reliability. In order to contribute to node-level data collection reliability, this study has developed an energy efficient MAC protocol that conserves node energy through intelligent sleep and wake-up scheduling of nodes. The proposed MAC protocol can be employed in both data gathering and event sensing networks. To ensure reliable transportation of sensed data from collection sites to the sink in data gathering networks, a routing protocol has been designed that reduces congestion during data transfer in the networks. Another congestion-and-delay aware routing protocol has been designed to support timely detection of events in event sensing networks. Finally, a complete architecture has been proposed that supports both periodic environmental data collection and time critical event detection within a single network. The architecture eliminates the necessity of deploying two separate networks for performing two different tasks. Extensive analysis and experimentation have proved the effectiveness of the proposed schemes over the existing works in literature.
Higher central charges and Witt groups
Creators: name: Ng, Siu-Hung
name: Rowell, Eric C.
name: Wang, Yilong
name: Zhang, Qing
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Algebra (math.QA)
subject: Category Theory (math.CT)
subject: Number Theory (math.NT)
subject: FOS: Mathematics

description: In this paper, we introduce the definitions of signatures of braided fusion categories, which are proved to be invariants of their Witt equivalence classes. These signature assignments define group homomorphisms on the Witt group. The higher central charges of pseudounitary modular categories can be expressed in terms of these signatures, which are applied to prove that the Ising modular categories have infinitely many square roots in the Witt group. This result is further applied to prove a conjecture of Davydov-Nikshych-Ostrik on the super-Witt group: the torsion subgroup generated by the completely anisotropic s-simple braided fusion categories has infinite rank.
description: 34 pages. Some typos and an extra reference are removed
Additional file 2: of H19 overexpression promotes leukemogenesis and predicts unfavorable prognosis in acute myeloid leukemia
Creators: name: Zhang, Ting-juan
name: Zhou, Jing-dong
name: Zhang, Wei
name: Lin, Jiang
name: Ma, Ji-chun
name: Wen, Xiang-mei
name: Yuan, Qian
name: Li, Xi-xi
name: Xu, Zi-jun
name: Qian, Jun
Publisher: name: figshare
Year: 2018
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Hematology

description: Figure S1. ROC curve analysis using H19 expression for discriminating AML patients from controls. (DOCX 126 kb)
Decentralised control of a modular cascaded multlevel converter
Creators: name: Kong, Wang Yui
Publisher: name: Monash University
Year: 2017
Subjects: Uncategorized

description: As the demand for higher power, higher voltage electrical conversion systems increases, it becomes less and less feasible to use two-level power electronic converter topologies in these applications because of rating limits with semi-conductor devices and demands on their harmonic performance. Multilevel converters are an elegant solution to these constraints; they allow the series connection of semi-conductor devices, thereby increasing the overall voltage rating of the converter, and at the same time they can limit the voltage stress across individual devices while simultaneously achieving substantially improved harmonic performance. One approach to the design of these converters is the concept of modularisation, which packages hardware and software into reusable building blocks. This approach allows more flexible and extendable designs. However, while hardware modularisation of multilevel converters has been quite successful, the control system for these converters typically remains highly centralised and reliant on a high bandwidth communication network. This thesis proposes a strategy to decentralise the open loop control and closed loop current regulation of a modular multilevel converter. The main concept is to give the responsibility for determining the converter’s switched outputs to local controllers in each converter module, using local sensors, a separate current regulator and a local modulator. These local controllers then coordinate to achieve the overall control objective of the multilevel converter. This thesis focuses on two key aspects of this approach. The first is an in-principle theoretical development, which begins by evaluating existing open and closed loop control strategies to select the most appropriate strategies and then adapting and extending them to suit the decentralised application. The intra-converter communication system is then enhanced to determine the minimum communication requirements for this system. The second aspect of this work is the practical implementation of this control system. This required a detailed analysis of the non-ideal circuit conditions which can adversely affect the performance of the system, and the development of techniques to manage them. The control strategies developed in this thesis have been tested extensively in both simulation and in practice using an experimental 12-kVA three-phase 5-level modular cascaded converter. The resultant performance of the system matched the best state of the art centralised control system in terms of transient and steady state output, while also achieving the same levels of harmonic distortion in the switched output voltage waveforms.
Additional file 1 of Neural stem cells for disease modeling and evaluation of therapeutics for infantile (CLN1/PPT1) and late infantile (CLN2/TPP1) neuronal ceroid lipofuscinoses
Creators: name: Sima, Ni
name: Li, Rong
name: Huang, Wei
name: Xu, Miao
name: Beers, Jeanette
name: Zou, Jizhong
name: Titus, Steven
name: Ottinger, Elizabeth
name: Marugan, Juan
name: Xie, Xing
name: Zheng, Wei
Publisher: name: figshare
Year: 2018
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Developmental Biology
subject: Hematology

description: Figure S1. Generation of Neuronal Ceroid Lipofuscinosis (NCL) induced pluripotent stem cells (iPSCs). Figure S2. Pluripotent stem cell protein markers analyzed by flow cytometry. Figure S3. Immunofluorescence staining of iPSC pluripotent stem cell protein markers. Figure S4. Protein marker expression in NSCs differentiated from WT control and NCL patient iPSCs. Figure S5. Enlarged lysosomes and lipid accumulation in NCL patient fibroblasts. Figure S6. Filipin staining in NCL fibroblasts and NSCs. Figure S7. Cytotoxicity of DT and HPBCD on NCL patient NSCs. Figure S8. Lysosomal pH indicated by a pHrodoâ ˘ pH sensor dye in NCL patient NSCs. (PDF 1842 kb)
The Neuroscientific Assets Maturity Model (NAMM) in the  EBRAINS-Italy RI
Creators: name: Spataro, Francesca
Publisher: name: Zenodo
Year: 2025
Subjects: subject: Biomedical Technology
subject: Process technology
subject: Technology/classification

description: This work introduces a systematic approach for a Neuroscientific Assets Maturity Model (NAMM), an innovative model to increase institutional service. It focuses on the standardization of the technology level of services, the integration of maturity models—TRL (Technology Readiness Level), SRL (Service Readiness Level), and MRL (Market Readiness Level)—and the creation of an interoperable catalogue supporting the full innovation lifecycle. This poster presents the Neuroscientific Assets Maturity Model (NAMM), an innovative, co-designed, market-oriented framework implemented in EBRAINS-Italy RI.
A note on the $L^p$ integrability of a class of Bôchner-Riesz kernels
Creators: name: Wheeler, Reuben
Publisher: name: arXiv
Year: 2020
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 42B15

description: For a general compact variety $Γ$ of arbitrary codimension, one can consider the $L^p$ mapping properties of the Bôchner-Riesz multiplier $$ m_{Γ, α}(ζ) \ = \ {\rm dist}(ζ, Γ)^α ϕ(ζ) $$ where $α> 0$ and $ϕ$ is an appropriate smooth cut-off function. Even for the sphere $Γ= {\mathbb S}^{N-1}$, the exact $L^p$ boundedness range remains a central open problem in Euclidean Harmonic Analysis. In this paper we consider the $L^p$ integrability of the Bôchner-Riesz convolution kernel for a particular class of varieties (of any codimension). For a subclass of these varieties the range of $L^p$ integrability of the kernels differs substantially from the $L^p$ boundedness range of the corresponding Bôchner-Riesz multiplier operator.
description: 19 pages
The Neuroscientific Assets Maturity Model (NAMM) in the  EBRAINS-Italy RI
Creators: name: Migliore, Rosanna
Publisher: name: Zenodo
Year: 2025
Subjects: subject: Biomedical Technology
subject: Process technology
subject: Technology/classification

description: This work introduces a systematic approach for a Neuroscientific Assets Maturity Model (NAMM), an innovative model to increase institutional service. It focuses on the standardization of the technology level of services, the integration of maturity models—TRL (Technology Readiness Level), SRL (Service Readiness Level), and MRL (Market Readiness Level)—and the creation of an interoperable catalogue supporting the full innovation lifecycle. This poster presents the Neuroscientific Assets Maturity Model (NAMM), an innovative, co-designed, market-oriented framework implemented in EBRAINS-Italy RI.
A novel technique to characterise and evaluate the interfacial fracture toughness of coatings
Creators: name: Elambasseril, Joe
Publisher: name: Monash University
Year: 2017
Subjects: Uncategorized

description: Coatings are often used as a covering to enhance the quality and protect the material to which they are applied to. The interface between the coating and substrate is the weakest part of the bimaterial system. Through accurate prediction of the interfacial fracture toughness, coatings can be produced that are more reliable as unanticipated failures are less likely to occur. Currently the tests that are carried out in this field have limitations and are only able to test certain coating–material combinations or are only suitable for certain loading conditions. A simple method using circumferentially notched tensile (CNT) specimen was developed for quantitatively evaluating the adhesion of coatings on substrates. The method is based on common tensile test of materials and is competent for estimating the mixed mode fracture toughness over a range of phase angles. In the first stage the 0, 15, 30, 45 and 60 degree notch angled mild steel cylindrical substrates with electroplated nickel were studied in detail using finite element models. In the second stage the nickel coated steel CNT specimens were tensile tested with a well defined precrack at the interface. In-situ acoustic signals acquisitions and scanning electron microscope were carried out to obtain the crack initiation (critical load) and propagation. From the critical load, critical interface energy release rate as a function of mode mixity was evaluated using J- integrals. The results showed an increase in the interfacial fracture toughness values with the increase in phase angle. In the third stage, the studies were also conducted to evaluate the fracture properties of TiN and TiAlN coatings using CNT specimens. The combined results of computational and experimental analysis showed that any defect or stress concentration at the interface can significantly weaken the adhesion of coating. It has been concluded that this new proposed method is an easier testing method to evaluate the adhesive properties of both ductile and brittle coatings on metallic substrates compared to traditional methods.
Do you see what I see? Teacher perceptions of change
Creators: name: Senisin, Simone Anne
Publisher: name: Monash University
Year: 2017
Subjects: Uncategorized

description: This study explores the beginning phase of a school change process in curriculum innovation and its role in school reform. It aims to identify and explore aspects of the process as understood by participating teachers. Student voice is included in this study to further contextualise teachers’ experiences. The changes in relation to the curriculum innovation are central to the aims and purpose of this study and were internally driven by a new principal, the vision he bought with him to the school and the processes put in place to facilitate attempts to reculture the school. Data for this study comes from semi-structured interviews with six teachers and seventeen students. The data explores the impact of the change process on teacher practice in the classroom. In what ways did changing school culture inform and change teacher practice? Teachers were interviewed individually twice over a period of twelve months from August of one year to July of the following year. Group interviews were used for the collection of student data. Teacher discourse was analysed for implicit and explicit meaning in relation to changing school culture, beliefs about student learning and teacher identity. The study concludes that teacher emotions and their subsequent relationships with other teachers underpin the perceptions that teachers hold of the school culture. This, in turn, affects their levels of engagement in professional learning opportunities and subsequent classroom practice. The study suggests that teacher identity is linked to emotional labour and that there is correlation between the emotions and perceptions of teachers in and outside the classroom. This study has implications for those responsible for leading curriculum innovation as part of school reform, and those in the field of teacher education.
UWB-based system for UAV Localization in GNSS-Denied Environments: Characterization and Dataset
Creators: name: Queralta, Jorge Peña
name: Almansa, Carmen Martínez
name: Schiano, Fabrizio
name: Floreano, Dario
name: Westerlund, Tomi
Publisher: name: arXiv
Year: 2020
Subjects: subject: Robotics (cs.RO)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Small unmanned aerial vehicles (UAV) have penetrated multiple domains over the past years. In GNSS-denied or indoor environments, aerial robots require a robust and stable localization system, often with external feedback, in order to fly safely. Motion capture systems are typically utilized indoors when accurate localization is needed. However, these systems are expensive and most require a fixed setup. Recently, visual-inertial odometry and similar methods have advanced to a point where autonomous UAVs can rely on them for localization. The main limitation in this case comes from the environment, as well as in long-term autonomy due to accumulating error if loop closure cannot be performed efficiently. For instance, the impact of low visibility due to dust or smoke in post-disaster scenarios might render the odometry methods inapplicable. In this paper, we study and characterize an ultra-wideband (UWB) system for navigation and localization of aerial robots indoors based on Decawave's DWM1001 UWB node. The system is portable, inexpensive and can be battery powered in its totality. We show the viability of this system for autonomous flight of UAVs, and provide open-source methods and data that enable its widespread application even with movable anchor systems. We characterize the accuracy based on the position of the UAV with respect to the anchors, its altitude and speed, and the distribution of the anchors in space. Finally, we analyze the accuracy of the self-calibration of the anchors' positions.
description: Accepted to the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)
Dependence of Solar Wind Proton Temperature on the Polarisation Properties of Alfvénic Fluctuations at Ion-kinetic Scales
Creators: name: Woodham, L. D.
name: Wicks, R. T.
name: Verscharen, D.
name: TenBarge, J. M.
name: Howes, G. G.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Space Physics (physics.space-ph)
subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: We use fluctuating magnetic helicity to investigate the polarisation properties of Alfvénic fluctuations at ion-kinetic scales in the solar wind as a function of $β_p$, the ratio of proton thermal pressure to magnetic pressure, and $θ_{vB}$, the angle between the proton flow and local mean magnetic field, $\mathbf{B}_0$. Using almost 15 years of \textit{Wind} observations, we separate the contributions to helicity from fluctuations with wave-vectors, $\textbf{k}$, quasi-parallel and oblique to $\mathbf{B}_0$, finding that the helicity of Alfvénic fluctuations is consistent with predictions from linear Vlasov theory. This result suggests that the non-linear turbulent fluctuations at these scales share at least some polarisation properties with Alfvén waves. We also investigate the dependence of proton temperature in the $β_p$-$θ_{vB}$ plane to probe for possible signatures of turbulent dissipation, finding that it correlates with $θ_{vB}$. The proton temperature parallel to $\mathbf{B}_0$ is higher in the parameter space where we measure the helicity of right-handed Alfvénic fluctuations, and the temperature perpendicular to $\mathbf{B}_0$ is higher where we measure left-handed fluctuations. This finding is inconsistent with the general assumption that by sampling different $θ_{vB}$ in the solar wind we can analyse the dependence of the turbulence distribution on $θ_{kB}$, the angle between $\textbf{k}$ and $\mathbf{B}_0$. After ruling out both instrumental and expansion effects, we conclude that our results provide new evidence for the importance of local kinetic processes that depend on $θ_{vB}$ in determining proton temperature in the solar wind.
description: 13 pages, 8 figures. Accepted for publication in The Astrophysical Journal
MOESM1 of Visualizing cellulase adsorption and quantitatively determining cellulose accessibility with an updated fungal cellulose-binding module-based fluorescent probe protein
Creators: name: Li, Tian
name: Liu, Nan
name: Ou, Xianjin
name: Zhao, Xuebing
name: Qi, Feng
name: Huang, Jianzhong
name: Liu, Dehua
Publisher: name: figshare
Year: 2018
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Biotechnology
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Plant Biology

description: Additional file 1. Additional experimental information, tables and figures.
Learning Sparse & Ternary Neural Networks with Entropy-Constrained Trained Ternarization (EC2T)
Creators: name: Marban, Arturo
name: Becking, Daniel
name: Wiedemann, Simon
name: Samek, Wojciech
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Information Theory (cs.IT)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Deep neural networks (DNN) have shown remarkable success in a variety of machine learning applications. The capacity of these models (i.e., number of parameters), endows them with expressive power and allows them to reach the desired performance. In recent years, there is an increasing interest in deploying DNNs to resource-constrained devices (i.e., mobile devices) with limited energy, memory, and computational budget. To address this problem, we propose Entropy-Constrained Trained Ternarization (EC2T), a general framework to create sparse and ternary neural networks which are efficient in terms of storage (e.g., at most two binary-masks and two full-precision values are required to save a weight matrix) and computation (e.g., MAC operations are reduced to a few accumulations plus two multiplications). This approach consists of two steps. First, a super-network is created by scaling the dimensions of a pre-trained model (i.e., its width and depth). Subsequently, this super-network is simultaneously pruned (using an entropy constraint) and quantized (that is, ternary values are assigned layer-wise) in a training process, resulting in a sparse and ternary network representation. We validate the proposed approach in CIFAR-10, CIFAR-100, and ImageNet datasets, showing its effectiveness in image classification tasks.
description: Proceedings of the CVPR'20 Joint Workshop on Efficient Deep Learning in Computer Vision. Code is available at https://github.com/d-becking/efficientCNNs
Entropy stable flux correction for scalar hyperbolic conservation laws
Creators: name: Kivva, Sergii
Publisher: name: arXiv
Year: 2020
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 65M06 65M08

description: It is known that Flux Corrected Transport algorithms can produce entropy-violating solutions of hyperbolic conservation laws. Our purpose is to design flux correction with maximal antidiffusive fluxes to obtain entropy solutions of scalar hyperbolic conservation laws. To do this we consider a hybrid difference scheme that is a linear combination of a monotone scheme and a scheme of high-order accuracy. Flux limiters for the hybrid scheme are calculated from a corresponding optimization problem. Constraints for the optimization problem consist of inequalities that are valid for the monotone scheme and applied to the hybrid scheme. We apply the discrete cell entropy inequality with the proper numerical entropy flux to single out a physically relevant solution of scalar hyperbolic conservation laws. A nontrivial approximate solution of the optimization problem yields expressions to compute the required flux limiters. We present examples that show that not all numerical entropy fluxes guarantee to single out a physically correct solution of scalar hyperbolic conservation laws.
Additional file 1: of The genetics of smoking in individuals with chronic obstructive pulmonary disease
Creators: name: Obeidat, Maâen
name: Zhou, Guohai
name: Li, Xuan
name: Hansel, Nadia
name: Rafaels, Nicholas
name: Mathias, Rasika
name: Ruczinski, Ingo
name: Beaty, Terri
name: Barnes, Kathleen
name: ParĂŠ, Peter
name: Sin, Don
Publisher: name: figshare
Year: 2018
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Evolutionary Biology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Marine Biology
subject: Cancer
subject: Mental Health

description: Supplementary Figures and Tables. (DOCX 1183Â kb)
The role of the endocannabinoid system in the pathogenesis of atherosclerosis
Creators: name: Steffens, Sabine
Publisher: name: Université de Genève
Year: 2012
Subjects: info:eu-repo/classification/ddc/616
Endocannabinoids
Cannabinoid receptors
Immunomodulation
Atherosclerosis
Plaque vulnerability
Restenosis
Myocardial ischemia and reperfusion

description: Atherosclerosis and its major adverse cardiovascular events, heart disease and stroke, are the leading cause of morbidity and mortality worldwide. It is an inflammatory disease of the arteries, characterized by lesions containing immune cells, smooth muscle cells, lipids and extracellular matrix. Both innate and adaptive immunity are involved in atherosclerosis. In recent years, exciting discoveries have revolutionized our current understanding of the molecular pathways underlying the disease, providing potential new targets for clinical therapy. A dysregulation of the endocannabinoid system has been linked to a variety of pathologic conditions, including atherosclerosis and its related cardiovascular risk factors, obesity, dyslipidemia and diabetes. The endocannabinoid system comprises at least two distinct membrane receptors, CB1 and CB2, their endogenous ligands (named endocannabinoids) as well as enzymes for ligand biosynthesis and inactivation. It is well established that endocannabinoids are synthesized and released ‘‘on demand'' and that this process can be regulated both physiologically and under pathological conditions. As regards cardiovascular disease, blocking of CB1 receptors reduces several cardiometabolic risk factors in rodents and humans, indicating a potential relevance for the process of atherosclerosis. A modulation of endocannabinoid levels was reported in patients with coronary artery disease as well as in atherosclerotic mice. The first evidence for a causal role of endocannabinoid-mediated CB1 activation in atherosclerosis has been provided in an experimental mouse study. In vitro, CB1 antagonism mediated anti-inflammatory effects in macrophages and smooth muscle cells. The phytocannabinoid delta-9-tetrahydrocannabinol inhibited atherosclerotic plaque progression in mice, mainly by inhibiting macrophage recruitment. The effect was inhibited by CB2 antagonism. However, some controversy exists about the effects of genetic CB2 deficiency in atherosclerotic mice. In the future, more experimental studies should help to clarify whether the activated endocannabinoid system in this chronic disease indeed plays a causal role to increase the risk of acute thrombotic events or rather counterbalancing atherogenic processes. The existing data so far suggest opposing effects of CB1 and CB2 activation in the pathogenesis of atherosclerosis; however, the underlying cellular and molecular mechanisms remain largely elusive and deserve further investigations.
A case study for $ζ(4)$
Creators: name: Schneider, Carsten
name: Zudilin, Wadim
Publisher: name: arXiv
Year: 2020
Subjects: subject: Number Theory (math.NT)
subject: Symbolic Computation (cs.SC)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: Using symbolic summation tools in the setting of difference rings, we prove a two-parametric identity that relates rational approximations to $ζ(4)$.
description: 13 pages
UWB-Based Localization for Multi-UAV Systems and Collaborative Heterogeneous Multi-Robot Systems: a Survey
Creators: name: Shule, Wang
name: Almansa, Carmen Martínez
name: Queralta, Jorge Peña
name: Zou, Zhuo
name: Westerlund, Tomi
Publisher: name: arXiv
Year: 2020
Subjects: subject: Signal Processing (eess.SP)
subject: Robotics (cs.RO)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Ultra-wideband technology has emerged in recent years as a robust solution for localization in GNSS denied environments. In particular, its high accuracy when compared to other wireless localization solutions is enabling a wider range of collaborative and multi-robot application scenarios, being able to replace more complex and expensive motion-capture areas for use cases where accuracy in the order of tens of centimeters is sufficient. We present the first survey of UWB-based localization focused on multi-UAV systems and heterogeneous multi-robot systems. We have found that previous literature reviews do not consider in-depth the challenges in both aerial navigation and navigation with multiple robots, but also in terms of heterogeneous multi-robot systems. In particular, this is, to the best of our knowledge, the first survey to review recent advances in UWB-based (i) methods that enable ad-hoc and dynamic deployments; (ii) collaborative localization techniques; and (iii) cooperative sensing and cooperative maneuvers such as UAV docking on mobile platforms. Finally, we also review existing datasets and discuss the potential of this technology for both localization in GNSS-denied environments and collaboration in multi-robot systems.
MOESM1 of Condition-specific promoter activities in Saccharomyces cerevisiae
Creators: name: Xiong, Liang
name: Zeng, Yu
name: Tang, Rui-Qi
name: Alper, Hal
name: Bai, Feng-Wu
name: Zhao, Xin-Qing
Publisher: name: figshare
Year: 2018
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology

description: Additional file 1: Table S1. Primers used in this study. Table S2. Ranking of promoter strengths at log phase under various conditions. Table S3. Sequence analysis of the promoters. Table S4. Predicted transcription factor (TF) binding sites involved in the promoter sequences. Figure S1. The GFP fluorescence of yeast cells under the control of various promoters and in the presence or absence of hygromycin B. Figure S2. Correlation of yEGFP fluorescence and mRNA levels. Figure S3. Cell growth of S. cerevisiaeÂ BY4741 under various conditions. Figure S4. The promoter strengths in log-phase cells under different conditions.