cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Effect of COVID-19 on Pet Food Bank Servicing : Quantifying Numbers of Clients Serviced in the Vancouver Downtown Eastside, British Columbia, Canada
Creators: name: Schor, Marina
name: Protopopova, Alexandra
Publisher: name: Frontiers Media
Year: 2021

description: Previous research has focused on the benefits and difficulties of pet ownership in people, who are experiencing homelessness. However, many pet services, such as pet food banks, serve a more varied population of people. Furthermore, the effect of the COVID-19 pandemic has not been documented within the context of pet food banks. Vancouver’s Downtown Eastside (DTES) population comprises a notable proportion of the city’s overall population and has a high density of people who are experiencing financial hardships, but some of whom do not always experience homelessness. The purpose of this study was to gain an understanding of the number of clients and pets that are being serviced by a pet food bank, whether that has changed over time, and if it was impacted by the COVID-19 pandemic. We analyzed available attendance and service records from The British Columbia Society for the Prevention of Cruelty to Animals pet food bank between 2013 and 2020. We found that a median of 100 clients attended the food bank each week and that most of the companion animals serviced were cats (72.5%), then followed by dogs (25.2%), and rats (1.2%). Servicing was not consistent over time, with a weekly pattern of decreased attendance every fourth week of the month, which coincided with income assistance payments. This suggests that either servicing needs are decreased with income assistance or that the week of the month may present an access to care challenge. We also observed a decrease in the clientele attending in 2020 compared to previous years, suggesting an effect of COVID-19. Specifically, this trend was present for cats, rats, rabbits, and “other” companion animals, but not for dogs; the number of dog owners receiving services did not change in 2020, suggesting a difference between needed services in dog vs. other pet owners. The yearly trends shed light on the impact of COVID-19 on vulnerable populations, highlighting the need for additional support through times of crisis. Overall, the data show a complex relationship between pet service provision and other community issues and highlight the need to consider pet food banks within the greater social services networks.
title: RUBinform
title: Datenschutz & Datensicherheit
titleType: Subtitle
Creators: name: Wojcieszynski, Brigitte
Publisher: name: Ruhr-Universität Bochum
Year: 2020

description: In dieser Ausgabe: ▪ European Cyber Security Month ▪ Das Märchen vom Datacenter ▪ "Diese Seite verwendet Cookies..." ▪ Interim für die IT ▪ Die RUB und die DS-GVO
description: RUBinform : Datenschutz & Datensicherheit, 2018,2
Superconductivity in 2D systems enhanced by nonadiabatic phonon-production effects
Creators: name: Krsnik, Juraj
name: Novko, Dino
name: Barišić, Osor Slaven
Publisher: name: arXiv
Year: 2024
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We investigate the dynamical effects of electron-phonon coupling (EPC) on the superconducting properties of two-dimensional (2D) systems, calculating the Eliashberg function in terms of dynamically renormalized phonons. By studying different approximations for the phonon self-energy, we identify the important role of charge fluctuations in shaping the superconductivity properties, not only through the renormalization of phonon frequencies and damping rates but also through structural changes in the phonon spectral function. With the dynamical effects treated consistently, we argue that a part of the phonon spectral weight necessarily shifts to low frequencies due to the coupling to the 2D gapless plasmon. Furthermore, we find that the EPC leads to excess phonon spectral weight as well - i.e., phonon production - which generally tends to enhance the transition temperature. Our calculations point out that the influence of phonon production becomes greater as the density and the effective mass of electrons increase.
description: 6 pages, 4 figures
Training Deep Neural Networks via Multi-task Optimisation
Creators: name: Zhang, Boyu
Publisher: name: Swinburne
Year: 2024

description: Dr Zhang’s thesis work contributes to a novel way to effectively training deep neural networks which are the mainstay of modern AI techniques, aiming to improve the less desirable generalisation performance achieved by using traditional approaches to train deep neural networks due to inherent ambiguity of generalisation formulation. It will benefit a variety of AI systems in many scientific and engineering fields that employ deep neural networks as their backbones.
Magnetic Transition in $\rm LaVO_{3} /LaTiO_{3}$ superlattice: A DFT+MC study
Creators: name: Sharma, Mukesh
name: Maitra, Tulika
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Magnetic phase transitions have been explored in a superlattice formed by stacking monolayers of $\rm LaTiO_{3}$ and $\rm LaVO_{3}$ alternately, using ab-initio density functional theory (DFT) and Monte-Carlo (MC) simulations. DFT derived intra-layer and inter-layer exchange interaction parameters were used for the MC simulations on a Ising spin model Hamiltonian. Two sharp peaks observed in specific heat without the interlayer exchange coupling indicate two independent magnetic ordering in $\rm LaTiO_{3}$ and $\rm LaVO_{3}$ layers at different temperatures. Inclusion of interlayer coupling leads to one sharp peak at higher temperature with a broad hump like feature at lower temperature in specific heat indicating a single magnetic phase transition to $C$-type antiferromagnetic phase in the superlattice.
description: http://www.daessps.in/
Two new species of the genus Gumardee (Marsupialia, Macropodiformes) reveal the repeated evolution of bilophodonty in kangaroos
Creators: name: Travouillon, Kenny J.
name: Butler, Kaylene
name: Archer, Michael
name: Hand, Suzanne J.
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: Science Policy
subject: Plant Biology

description: Two new species of the fossil macropodiform genus Gumardee are described that provide insights into the evolution of early kangaroos. Gumardee has a continuous record from the late Oligocene to the early Miocene and is likely to have become extinct before the middle Miocene. The two new species are the most derived members of the genus. They exhibit some dental size variation, especially in P3/p3, which we interpret as evidence for sexual dimorphism. From the stratigraphically oldest species of Gumardee to the youngest, the dental morphology also shows a progression from bunolophodont to increasingly bilophodont. This trend appears to have occurred in at least four different lineages of macropodoids; however, a fully bilophodont condition was achieved only twice, once in the ancestral lineage of balbarids, and again in ancestral radiation of modern macropodids as implied by the species of Gumardee. Kenny. J. Travouillon[Kenny.Travouillon@museum.wa.gov.au], Western Australian Museum, Locked Bag 49, Welshpool DC, WA, 6986 Australia; Kaylene Butler[kaylene.butler@uqconnect.edu.au], School of Earth and Environmental Sciences, The University of Queensland, St Lucia, Queensland 4072, Australia; Michael Archer[m.archer@unsw.edu.au], Earth and Sustainability Science Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, New South Wales 2052, Australia; Suzanne J. Hand[s.hand@unsw.edu.au], Earth and Sustainability Science Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, New South Wales 2052, Australia.
THE IMPACT OF SOCIAL MEDIA ON PEOPLE'S TRAVEL DECISIONS
Creators: name: REEMA ALROWAIS
Publisher: name: Zenodo
Year: 2024
Subjects: Social Media; Social Media Influencers; Traveling; Trust; Decision-Making.

description: Abstract

This paper examines the role of trust in social media influencers’ SMI on the decision-making behavior of customers in the context of the tourism industry. The research examines the role of SMI trust in the overall customer journey, without limiting the study to only direct effects, but more than that. Investigating factors of trust in a novel or rather digital space, this study seeks to explore, how clients’ views of SMIs impact their travel purchase behavior from the first acquaintance with the destination to the ultimate purchase of that travel product. In this study, both qualitative and quantitative means were utilized in gathering data using a self-administered structured questionnaire on a survey and oral interview approach. Survey Monkey was used for the distribution of the surveys, while Arbert Transformer was applied during analysis in the interview phase. About two-thirds of the respondents indicated that they considered SMIs when making a travel decision. The study findings confirm that SMI trust is integral to travel choice behavior. The insights from the study further emphasize the growing need for SMIs in the tourism sector, addressing the issue of SMIs from a marketing perspective and seeking to enhance customer trust through the influencer approach.
Detection of a quasi-periodic oscillation in the optical light curve of the remarkable blazar AO 0235+164
Creators: name: Roy, Abhradeep
name: Chitnis, Varsha R.
name: Gupta, Alok C.
name: Wiita, Paul J.
name: Romero, Gustavo E.
name: Cellone, Sergio A.
name: Chatterjee, Anshu
name: Combi, Jorge A.
name: Raiteri, Claudia M.
name: Sarkar, Arkadipta
name: Villata, Massimo
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We present a long term optical $R$ band light curve analysis of the gravitationally lensed blazar AO 0235+164 in the time span 1982 - 2019. Several methods of analysis lead to the result that there is a periodicity of ~8.13 years present in these data. In addition, each of these five major flares are apparently double-peaked, with the secondary peak following the primary one by ~2 years. Along with the well known system, OJ 287, our finding constitutes one of the most secure cases of long term quasi-periodic optical behaviour in a blazar ever found. A binary supermassive black hole system appears to provide a good explanation for these results.
description: 7 pages, 3 figures, 1 table, Accepted for publication in MNRAS
THE USE OF MODERN METHODS IN THE STUDY OF PEDAGOGICAL SCIENCES OF THE PEOPLE
Creators: name: Rakhimberdiyeva, Makfuzakhan
Publisher: name: Zenodo
Year: 2024

description: Modern education system for the people of pedagogical sciences teaching, students of national values they mean and enhancements for significant importance has. This article describes the people of pedagogy teaching modern methods of how to apply can about debates are.
Double cascade reconstruction in KM3NeT/ARCA
Creators: name: van Eeden, Thijs
name: Heijboer, Aart
Publisher: name: arXiv
Year: 2022
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The detection of astrophysical $ν_τ$ is an important verification of the observed flux of high-energy neutrinos. A flavour ratio of approximately $ν_{e} : ν_μ: ν_τ\approx 1 : 1 : 1$ is predicted for astrophysical neutrinos measured at Earth due to neutrino oscillations. On top of this, the $ν_τ$ offers a unique channel for neutrino astronomy due to absence of an atmospheric $ν_τ$ background contribution. When a $ν_τ$ interacts it produces a particle cascade and often a $τ$ lepton which in turn decays mainly into another cascade. This results in a double cascade signature. An excellent angular resolution can be achieved when both cascade vertices are reconstructed. The KM3NeT/ARCA detector, which is under construction in the Mediterranean sea, will be able to detect this signature due to its timing and spatial resolution for cascades. We will discuss the dedicated reconstruction algorithm and performance for reconstructing double cascades using KM3NeT. The angular deviation reaches sub-degree level for tau lengths larger than 25 meters.
description: 6 pages, 2 figures, VLVnT 2021 contribution
Exploring the role of high-value crops to reduce agricultural greenhouse gas emissions in New Zealand
Creators: name: Thomas, Steve
name: Ausseil, Anne-Gaelle
name: Guo, Jing
name: Herzig, Alexander
name: Khaembah, Edith
name: Renwick, Alan
name: Teixeira, Edmar
name: van der Weerden, Tony
name: Wakelin, Steve
name: Vetharaniam, Indrakumar
Publisher: name: AgResearch
Year: 2024
Subjects: classificationCode: 3002
subject: Agriculture, land and farm management

description: This study explores the potential benefits of transitioning from livestock farming to high-value alternative crops as a strategy for mitigating agricultural greenhouse gas (GHG) emissions in New Zealand. The government has set ambitious targets for reducing methane (CH4) emissions. However, since animal product exports play a crucial role in New Zealand's economy, any shift in land use will have significant impacts on both the regional and national economy.
A reformulation of the Symplectic Brezis-Ekeland-Nayroles principle
Creators: name: Buliga, Marius
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 490103
subject: Calculus of variations, mathematical aspects of systems theory and control theory
classificationCode: 490105
subject: Dynamical systems in applications
classificationCode: 490109
subject: Theoretical and applied mechanics

description: The Symplectic Brezis-Ekeland-Nayroles principle (SBEN) is a dissipative version of hamiltonian mechanics [3], [4], [5]. It is named so because it gives a dynamical version of the principles formulated by Brezis-Ekeland [2] for parabolic equations and Nayroles theorems on dissipative systems [10].In this article we continue [6] and reformulate SBEN in a simpler form, which cover non-associated constitutive laws expressed via bipotential theory. We thus obtain a new, dynamical theory for a large class of models which are usually studied in the quasistatic regime.This is the original version of the article written for the preparation of the project ANR-22-CE51-0034.
Current-driven Dynamics of Skyrmion Bubbles in Achiral Uniaxial Magnets
Creators: name: Wu, Yaodong
name: Jiang, Jialiang
name: Tang, Jin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We report dynamics of skyrmion bubbles driven by spin-transfer torque in achiral ferromagnetic nanostripes using micromagnetic simulations. In a three-dimensional uniaxial ferromagnet with a quality factor that is smaller than 1, the skyrmion bubble is forced to stay at the central nanostripe by a repulsive force from the geometry border. The coherent motion of skyrmion bubbles in the nanostripe can be realized by increasing the quality factor to ~3.8. Our results should propel the design for future spintronic devices such as artificial neural computing and racetrack memory based on dipole-stabilized skyrmion bubbles.
title: Climate change and safety of installations: recommendations from the UN/OECD-Natech project
title: Climate change and safety of installations: recommendations from the UN/OECD-Natech project
titleType: AlternativeTitle
Creators: name: Schulte, Maro Luisa
name: Eckart, Lisa Maria
name: Köppke, Karl-Erich
Publisher: name: Umweltbundesamt
Year: 2019
Subjects: Natech-Unfälle
OECD
Anlagensicherheit
Störfall
Risikomanagement
Klimaänderung

description: In dieser Expertise werden die Gefahren für Anlagen, in denen gefährliche Stoffe vorhanden sind, durch klimawandelbeeinflusste Naturgefahren beschrieben und Vorschläge abgeleitet, um den Stand der Sicherheitstechnik und Technik zur Verhinderung und Begrenzung von Schadstofffreisetzungen, Bränden und Explosionen, ausgelöst durch diese Naturgefahren, zu verbessern. Wie Klimaprojektionen zeigen, ist für einige Naturgefahren mit einer Zunahme der Häufigkeit und/oder Intensität zu rechnen. Hochwasser, Starkregen , Sturzfluten, Stürme usw. sind Naturgefahren, die Anpassungsstrategien erfordern, die bislang nicht oder nur selten im Rahmen des Risikomanagements von Anlagenbetreibern betrachtet werden. Fukushima und Sendai stehen für bekannte Ereignisse, bei denen die Gewalt von Naturgefahren industrielle Katastrophen auslöste. Vor diesem Hintergrund wurden auf nationaler und internationaler Ebene zahlreiche Aktivitäten gestartet, um die Risiken von industriellen Unfällen, ausgelöst durch Naturgefahren, stärker in den Fokus der Sicherheitsdiskussion zu rücken. In zwei Workshops wurden Empfehlungen für geeignete Risikoanalysen, ein verbessertes Risikomanagement, geeignete Maßnahmen zur Anpassung an den Klimawandel sowie für die Notfallplanung entwickelt. Darüber hinaus wurde die Notwendigkeit der grenzüberschreitenden und internationalen Zusammenarbeit, der Kommunikation zwischen den Verantwortlichen sowie das legislative Regierungshandeln gegenüber durch natürlichen Gefahrenquellen ausgelösten technischen (hier chemischen) Unfällen (Natechs: Natural Hazard Triggered Technological Accidents) herausgestellt. Die wichtigsten Empfehlungen werden in dieser Expertise zusammenfassend dargestellt. Quelle: www.umweltbundesamt.de
Genuine N-partite entanglement and distributed relationships in the background of dilation black holes
Creators: name: Wu, Shu-Min
name: Cai, Yu-Tong
name: Peng, Wen-Jing
name: Zeng, Hao-Sheng
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: With the complexity of information tasks, the bipartite and tripartite entanglement can no longer meet our needs, and we need more entangled particles to process relativistic quantum information. In this paper, we study the genuine N-partite entanglement and distributed relationships for Dirac fields in the background of dilaton black holes. We present the general analytical expression including all physically accessible and inaccessible entanglement in curved spacetime. We find that the accessible N-partite entanglement exhibits irreversible decoherence as the increase of black hole's dilaton, and on the other hand the inaccessible N-partite entanglement increases from zero monotonically or non-monotonically, depending on the relative numbers of the accessible to the inaccessible modes, which forms a sharp contrast with the cases of bipartite and tripartite entanglement where the inaccessible entanglement increase only monotonically. We also find two distributed relationships between accessible and inaccessible N-partite entanglement in curved spacetime. The results give us a new understanding of the Hawking radiation.
description: 19 pages, 8 figures
High-Quality Illumination of Virtual Objects based on an Environment Estimation in Mixed Reality Applications (Digital Appendix)
Creators: name: Schwandt, Tobias
Publisher: name: Zenodo
Year: 2020
Subjects: Augmented Reality
Mixed Reality
Environment Estimation
Illumination
Rendering

description: This digital appendix is a contribution to the doctoral thesis "High-Quality Illumination of Virtual Objects based on an Environment Estimation in Mixed Reality Applications" by Tobias Schwandt. Inside this repository, further information is provided including binaries, figures, pre-trained models, source code, and videos.
description: {"references": ["Morgan McGuire, Computer Graphics Archive, July 2017 (https://casual-effects.com/data)"]}
A gentle tutorial on accelerated parameter and confidence interval estimation for hidden Markov models using Template Model Builder
Creators: name: Bacri, Timothée
name: Berentsen, Geir D.
name: Bulla, Jan
name: Hølleland, Sondre
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation (stat.CO)
subject: FOS: Computer and information sciences
subject: G.3; I.6.8
subject: 62-04 (Primary), 62-08 (Secondary), 62F40, 91-04, 92-04

description: A very common way to estimate the parameters of a hidden Markov model (HMM) is the relatively straightforward computation of maximum likelihood (ML) estimates. For this task, most users rely on user-friendly implementation of the estimation routines via an interpreted programming language such as the statistical software environment R (R Core Team, 2021). Such an approach can easily require time-consuming computations, in particular for longer sequences of observations. In addition, selecting a suitable approach for deriving confidence intervals for the estimated parameters is not entirely obvious (see, e.g., Zucchini et al., 2016; Lystig and Hughes, 2002; Visser et al., 2000), and often the computationally intensive bootstrap methods have to be applied. In this tutorial, we illustrate how to speed up the computation of ML estimates significantly via the R package TMB. Moreover, this approach permits simple retrieval of standard errors at the same time. We illustrate the performance of our routines using different data sets. First, two smaller samples from a mobile application for tinnitus patients and a well-known data set of fetal lamb movements with 87 and 240 data points, respectively. Second, we rely on larger data sets of simulated data of sizes 2000 and 5000 for further analysis. This tutorial is accompanied by a collection of scripts which are all available on GitHub. These scripts allow any user with moderate programming experience to benefit quickly from the computational advantages of TMB.
description: For supporting information, see https://timothee-bacri.github.io/HMM_with_TMB/
Critical Peeling of Tethered Nanoribbons
Creators: name: Silva, Andrea
name: Tosatti, Erio
name: Vanossi, Andrea
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: The peeling of an immobile adsorbed membrane is a well known problem in engineering and macroscopic tribology. In the classic setup, picking up at one extreme and pulling off results in a peeling force that is a decreasing function of the pickup angle. As one end is lifted, the detachment front retracts to meet the immobile tail. At the nanoscale, interesting situations arise with the peeling of graphene nanoribbons (GNRs) on gold, as realized, e.g., by atomic force microscopy. The nanosized system shows a constant-force steady peeling regime, where the tip lifting h produces no retraction of the ribbon detachment point, and just an advancement h of the free tail end. This is opposite to the classic case, where the detachment point retracts and the tail end stands still. Here we characterise, by analytical modeling and numerical simulations, a third, experimentally relevant, setup where the nanoribbon, albeit structurally lubric, does not have a freely moving tail end, which is instead elastically tethered. Surprisingly, novel nontrivial scaling exponents appear that regulate the peeling evolution. As the detachment front retracts and the tethered tail is stretched, power laws of h characterize the shrinking of the adhered length the growth of peeling force and the peeling angle. These exponents precede the final total detachment as a critical point, where the entire ribbon eventually hangs suspended between the tip and tethering spring. These analytical predictions are confirmed by realistic MD simulations, retaining the full atomistic description, also confirming their survival at finite experimental temperatures.
The Development and Application of a GIS-Based Tool to Assess Forest Landscape Restoration Effects on Water Conservation Capacity
Creators: name: Yu, Enxu
name: Zhang, Mingfang
name: Xu, Yali
name: Zhang, Sheng
name: Meng, Zuozhu
name: Hou, Yiping
Publisher: name: Multidisciplinary Digital Publishing Institute
Year: 2021

description: In forest landscape restoration, one of the key objectives is to improve the water conservation capacity of the deforested land. A rapid, accurate assessment of the effects of the restoration measures on the water conservation capacity of targeted forests can help forest managers to identify the best practices for forest restoration. However, the traditional assessment tools of forest water conservation function lack a description of forest growth, and are featured by complex computation, which fails to evaluate the effects of forest restoration on the regional forest water conservation capacity in an efficient way. To address this issue, through combining the forest restoration evaluation model (equivalent recovery area, ERA), classic forest water storage capacity estimation (total water storage capacity), this study has taken advantage of ENVI/IDL, ArcGIS Engine/C#.Net to develop the Forest and Water Assessment Tool (FWAT) for assessing the changes of the regional forest landscape and the associated forest water conservation capacity in various forest restoration scenarios. This tool has been successfully applied in the Upper Zagunao watershed, a large forested watershed in the Upper Yangtze River basin. According to the assessment, the forest water conservation capacity of the study watershed consistently increased from about 1580.76 t/hm2 in 2010 to a projected 2014.34 t/hm2 by natural restoration, and 2124.18 t/hm2 by artificial restoration by 2030. The artificial restoration measures yield a better effect on forest water conservation function than natural restoration. By 2030, the forest water conservation capacity of artificial restoration scenario is expected to be about 7% higher than that of natural restoration scenario. The FWAT as an efficient tool to assess the effects of forest restoration measures on regional forest water conservation capacity can provide scientific support for the design of forest restoration and management strategies worldwide.
Accuracy Convergent Field Predictors
Creators: name: Alb, Cristian
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Several predictive algorithms are described. Highlighted are variants that make predictions by superposing fields associated to the training data instances. They operate seamlessly with categorical, continuous, and mixed data. Predictive accuracy convergence is also discussed as a criteria for evaluating predictive algorithms. Methods are described on how to adapt algorithms in order to make them achieve predictive accuracy convergence.
Supplementary Material.docx
Creators: name: Reinholds, Ingars
Publisher: name: figshare
Year: 2020
Subjects: subject: 30199 Analytical Chemistry not elsewhere classified
subject: FOS: Chemical sciences

description: Supplementary Table S1. Estimated LOQ for mycotoxins with ordinary LC-MS procedure and nano‑LC‑MS procedure.Supplementary Figure S1. Mycotoxins and mycotoxin-related analyte resolution tested with two different fluidics setups – (A) Acclaim PepMap™ capillary column and an EASY-Spray™ transfer line with the emitter; (B) EASY-Spray™ capillary column with an integrated emitter.
Deformation and Energy Absorption of Composite Sandwich Beams
Creators: name: Vcelka, Martin Patrick
Publisher: name: Swinburne
Year: 2024

description: Dr Vcelka investigated the deformation and energy absorption of composite sandwich beams. The research revealed, that the combination of carbon fibre and aluminium foam into a sandwich beam has superior energy absorbing abilities, compared to traditional beam structures. A novel finite element model was produced, which included advanced failure criteria and was used to make predictions about the mechanical behaviour of said structures. These findings provide further insight into how composite structural beams behave when deformed during three-point bending. The research can aid designers and be used in commercial applications, such as the design of vehicles, to help optimize the structure for energy absorption to reduce the chance of injury during impact.
Light Communication for Controlling Industrial Robots
Creators: name: Al-Turjman, Fadi
name: Cacciagrano, Diletta
name: Mostarda, Leonardo
name: Paccamiccio, Mattia
name: Ullah, Zaib
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Optical Wireless Communication (OWC) is regarded as an auspicious communication approach that can outperform the existing wireless technology. It utilizes LED lights, whose subtle variation in radiant intensity generate a binary data stream. This is perceived by a photodiode, that converts it to electric signals for further interpretation. This article aims at exploring the use of this emerging technology in order to control wirelessly industrial robots, overcoming the need for wires, especially in environments where radio waves are not working due to environmental factors or not allowed for safety reasons. We performed experiments to ensure the suitability and efficiency of OWC based technology for the aforementioned scope and "in vitro" tests in various Line-of-Sight (LoS) and Non-Line-of-Sight (NLoS) configurations to observe the system throughput and reliability. The technology performance in the "clear LoS" and in the presence of a transparent barrier, were also analyzed.
Reasoning about inter-procedural security requirements in IoT applications
Creators: name: Paccamiccio, Mattia
name: Mostarda, Leonardo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: The importance of information security dramatically increased and will further grow due to the shape and nature of the modern computing industry. Software is published at a continuously increasing pace. The Internet of Things and security protocols are two examples of domains that pose a great security challenge, due to how diverse the needs for those software may be, and a generalisation of the capabilities regarding the toolchain necessary for testing is becoming a necessity. Oftentimes, these software are designed starting from a formal model, which can be verified with appropriate model checkers. These models, though, do not represent the actual implementation, which can deviate from the model and hence certain security properties might not be inherited from the model, or additional issues could be introduced in the implementation. In this paper we describe a proposal for a novel technique to assess software security properties from LLVM bitcode. We perform various static analyses, such as points-to analysis, call graph and control-flow graph, with the aim of deriving from them an 'accurate enough' formal model of the paths taken by the program, which are then going to be examined via consolidated techniques by matching them against a set of defined rules. The proposed workflow then requires further analysis with more precise methods if a rule is violated, in order to assess the actual feasibility of such path(s). This step is required as the analyses performed to derive the model to analyse are over-approximating the behaviour of the software.
A method to derive nitrogen transport factors for New Zealand's agricultural lands
Creators: name: Snow, Val
name: Cichota, Rogerio
name: Lilburne, Linda
name: McDowell, Rich
name: Vickers, Shirley
Publisher: name: AgResearch
Year: 2024
Subjects: classificationCode: 410404
subject: Environmental management

description: Risk index tools have the potential to assist farmers in making strategic decisions regarding their farm design to manage losses of nutrients. Such tools require a vulnerability framework, and these are often based on scores or rankings. These frameworks struggle to take account of interactions between elements of the physical environment. Process-based simulation models inherently take account of interactions and may be a viable alternative to score-based methods. We describe the method to populate a database of transport factors that covers the agricultural lands of New Zealand that is designed for usage as the susceptibility framework within a risk index tool. The method gives both leaching and runoff transport factors and gives values by month. The simulation model used had already been validated for simulating water and nitrogen balances and the generated spatial patterns of the transport factors was validated via expert assessment. These features allow good representation of the risks posed across a wide range of farming activities.
Publishing CoreKB Facts as Nanopublications
Creators: name: Giachelle, Fabio
name: Marchesin, Stefano
name: Menotti, Laura
name: Silvello, Gianmaria
Publisher: name: Zenodo
Year: 2024

description: The Collaborative Oriented Relation Extraction (CORE) system generates gene expression-cancer associations by combining scientific evidence from the literature. Such facts are then ingested into the CoreKB platform, where one can browse and search for associations. In this work, we publish 197, 511 assertions from CoreKB as nanopublications, allowing the sharing of machine-readable gene-cancer associations while tracking their provenance and publication information.
title: RUBinform
title: Datenschutz & Datensicherheit
titleType: Subtitle
Creators: name: Wojcieszynski, Brigitte
Publisher: name: Ruhr-Universität Bochum
Year: 2020

description: In dieser Ausgabe: ▪ Wie kann ich da sicher sein? ▪ Märchen werden manchmal wahr ▪ Das smarte Zuhause ▪ Die clevere Alternative: Sciebo ▪ Firefox-Addons
description: RUBinform : Datenschutz & Datensicherheit, 2019,1
Place-based diversification: Pathways to diversified shared landscapes in the Wairau Marlborough region of Aotearoa New Zealand
Creators: name: Barry, Michelle
name: Mason, Rebecca
name: Strong, Diane
name: Wreford, Anita
name: Radford, Ramona
name: Romera, Alvaro
name: Monge, Juan
Publisher: name: AgResearch
Year: 2024
Subjects: classificationCode: 3002
subject: Agriculture, land and farm management

description: This study aims to explore the potential of place-based theory to contribute to land use diversification, particularly against the backdrop of prevailing climate change challenges. The study delves into local Maori and wider community perspectives in Wairau Marlborough, New Zealand, through two sets of semi-structured interviews. Questions asked aimed to (1) develop an understanding of the community’s vision of land use in the Wairau Marlborough region, (2) identify and understand the elements necessary to develop a pathway to achieving a shared vision for land use in the region, and (3) assess the potential for place-based approaches to support land use and diversification where there is high potential for conflicting interests between different groups, or in contexts with a history of colonisation. Overall, the study highlights the importance of understanding the community’s connection to the place and land, empowering them to be leaders in the development of pathways to solutions for the challenges that impact them. Interviewees emphasise the need for diversification, protection of natural resources, and inclusion of diverse perspectives. The studies provide useful insights for achieving a shared vision for land use diversification in Wairau, Marlborough, that can also be applied to other regions.
title: Вклад академика Г. Ф. Миллера в изучение чувашей
Creators: name: Салмин, А. К.
Publisher: name: Реноме
Year: 2018

description: В статье проанализировано научное наследие академика Г. Ф. Миллера, имеющее отношение к этнографии чувашей. Основное внимание в его трудах уделено народным верованиям, жилищам, одежде, свадьбе и похоронам чувашей. Его сочинения имеют фундаментальное значение для установления достоверной картины историко-этнографической действительности чувашского народа не только по состоянию на вторую половину XVIII в., но и в целом.

Ключевые слова: Г. Ф. Миллер, чуваши, верования, этнография
ESR 15: Topic introduction - Recycling of Polymers from Collected Beach and Ocean Plastics
Creators: name: Moubarak Maria
Publisher: name: Zenodo
Year: 2020
Subjects: beach plastics
ocean plastics

description: Topic introduction by ESR 15 Maria Moubarak on "Recycling of Polymers from Collected Beach and Ocean Plastics". Talk delivered in the Network-Wide Training Event 1 of C-PlaNeT EU H2020 project.
description: This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 859885.
Harmonic Centrality and Centralization of Some Graph Products
Creators: name: Ortega, Jose Mari E.
name: Eballe, Rolito G.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Combinatorics (math.CO)
subject: Discrete Mathematics (cs.DM)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: 05C12, 05C82, 91D30

description: Harmonic centrality calculates the importance of a node in a network by adding the inverse of the geodesic distances of this node to all the other nodes. Harmonic centralization, on the other hand, is the graph-level centrality score based on the node-level harmonic centrality. In this paper, we present some results on both the harmonic centrality and harmonic centralization of graphs resulting from some graph products such as Cartesian and direct products of the path $P_2$ with any of the path $P_m$, cycle $C_m$, and fan $F_m$ graphs.
description: 10 pages, 3 figures
Comprehensive Immune Profiling of a Kidney Transplant Recipient With Peri-Operative SARS-CoV-2 Infection : A Case Report
Creators: name: Sherwood, Karen
name: Nicholl, David
name: Fenninger, Franz
name: Wu, Vivian
name: Wong, Paaksum
name: Benedicto, Vince
name: Cina, Davide
name: Wang, Meng
name: Pobran, Taylor
name: De Marco, Mari L
name: Jassem, Agatha
name: Sekirov, Inna
name: Morshed, Muhammad
name: Bardi, Mohammad
name: Sekhon, Mypinder S.
name: Keown, Paul A.
name: Kadatz, Matthew
name: Lan, James H.
Publisher: name: Frontiers Media
Year: 2021

description: To date there is limited data on the immune profile and outcomes of solid organ transplant recipients who encounter COVID-19 infection early post-transplant. Here we present a unique case where the kidney recipient’s transplant surgery coincided with a positive SARS-CoV-2 test and the patient subsequently developed symptomatic COVID-19 perioperatively. We performed comprehensive immunological monitoring of cellular, proteomic, and serological changes during the first 4 critical months post-infection. We showed that continuation of basiliximab induction and maintenance of triple immunosuppression did not significantly impair the host’s ability to mount a robust immune response against symptomatic COVID-19 infection diagnosed within the first week post-transplant.
Large language models for newspaper sentiment analysis during COVID-19: The Guardian
Creators: name: Chandra, Rohitash
name: Zhu, Baicheng
name: Fang, Qingying
name: Shinjikashvili, Eka
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computation and Language (cs.CL)
subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: During the COVID-19 pandemic, the news media coverage encompassed a wide range of topics that includes viral transmission, allocation of medical resources, and government response measures. There have been studies on sentiment analysis of social media platforms during COVID-19 to understand the public response given the rise of cases and government strategies implemented to control the spread of the virus. Sentiment analysis can provide a better understanding of changes in societal opinions and emotional trends during the pandemic. Apart from social media, newspapers have played a vital role in the dissemination of information, including information from the government, experts, and also the public about various topics. A study of sentiment analysis of newspaper sources during COVID-19 for selected countries can give an overview of how the media covered the pandemic. In this study, we select The Guardian newspaper and provide a sentiment analysis during various stages of COVID-19 that includes initial transmission, lockdowns and vaccination. We employ novel large language models (LLMs) and refine them with expert-labelled sentiment analysis data. We also provide an analysis of sentiments experienced pre-pandemic for comparison. The results indicate that during the early pandemic stages, public sentiment prioritised urgent crisis response, later shifting focus to addressing the impact on health and the economy. In comparison with related studies about social media sentiment analyses, we found a discrepancy between The Guardian with dominance of negative sentiments (sad, annoyed, anxious and denial), suggesting that social media offers a more diversified emotional reflection. We found a grim narrative in The Guardian with overall dominance of negative sentiments, pre and during COVID-19 across news sections including Australia, UK, World News, and Opinion
Optimising sampling frequency for change detection of variables in lake monitoring programs
Creators: name: Patil, Rupesh
name: Hamilton, David
name: Ausseil, Olivier
name: Kittridge, Michael
name: Özkundakci, Deniz
name: McDowell, Rich
Publisher: name: AgResearch
Year: 2024
Subjects: classificationCode: 410404
subject: Environmental management

description: Optimized sampling regime can match restoration timeline with improvements in water quality.Duration and frequency of the optimized sampling regime affect operational monitoring costs.Detecting improvement in chlorophyll-a within 5 years will cost 16 times more than the current costs.Detecting improvement in chlorophyll-a within 20 years will cost 3 times more than the current costs.A realistic framework to assess monitoring costs relative to investments in restoration.A lake monitoring regime optimised to detect natural and anthropogenic variations in water quality is critical for supporting and understanding the impact of lake restoration actions. It can support efficient investment in monitoring by minimising the time required for change detection of lake water quality attributes.The objective of this study was to develop tools and resources to support the development of optimised lake monitoring programs tailored for individual monitored and unmonitored lakes in New Zealand, targeted to detecting change in key water quality attributes in response to restoration actions. We used monitoring data collected routinely from 148 lakes and modelled variability of chlorophyll-a (chl-a), total nitrogen (TN), total phosphorus (TP), and Secchi disk depth (SDD). Using a gradient boosted regression tree (BRT) procedure, we estimated the number of samples per year required over a 5-year and 20-year period to detect improvement in water quality equivalent to meeting thresholds for minimum acceptable water quality states in national policy.At monitored sites, chl-a monitoring to detect improvements within five years was estimated to increase current costs by over 16 times and over 3 times to detect improvements within 20 years.Monitoring to document the effects of restoration actions is important for justifying investments in restoration. Our assessment indicates the importance of monitoring frequency for the level of investment and duration with what is possible to detect the resulting changes in water quality.
Multi-photon above threshold ionization of multi-electron atoms and molecules using the R-matrix approach
Creators: name: Benda, Jakub
name: Mašín, Zdeněk
Publisher: name: arXiv
Year: 2022
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: We formulate a computationally efficient time-independent method based on the multi-electron molecular R-matrix formalism. This method is used to calculate transition matrix elements for the multi-photon ionization of atoms and molecules under the influence of a perturbative field. The method relies on the partitioning of space which allows us to calculate the infinite-range free-free dipole integrals analytically in the outer region, beyond the range of the initial bound wave function. This approach is valid for an arbitrary order, that is, any number of photons absorbed both in the bound and the continuum part of the spectrum (below- and above-threshold ionization). We calculate generalized multi-photon cross sections and angular distributions of different systems (H, He, H2, CO2) and validate our approach by comparison with data from the literature.
Deep Modeling of Regulating Effects of Small Molecules on Longevity-Associated Genes
Creators: name: You, Jiaying
name: Hsing, Michael
name: Cherkasov, Artem
Publisher: name: Multidisciplinary Digital Publishing Institute
Year: 2021

description: Aging is considered an inevitable process that causes deleterious effects in the functioning and appearance of cells, tissues, and organs. Recent emergence of large-scale gene expression datasets and significant advances in machine learning techniques have enabled drug repurposing efforts in promoting longevity. In this work, we further developed our previous approach—DeepCOP, a quantitative chemogenomic model that predicts gene regulating effects, and extended its application across multiple cell lines presented in LINCS to predict aging gene regulating effects induced by small molecules. As a result, a quantitative chemogenomic Deep Model was trained using gene ontology labels, molecular fingerprints, and cell line descriptors to predict gene expression responses to chemical perturbations. Other state-of-the-art machine learning approaches were also evaluated as benchmarks. Among those, the deep neural network (DNN) classifier has top-ranked known drugs with beneficial effects on aging genes, and some of these drugs were previously shown to promote longevity, illustrating the potential utility of this methodology. These results further demonstrate the capability of “hybrid” chemogenomic models, incorporating quantitative descriptors from biomarkers to capture cell specific drug–gene interactions. Such models can therefore be used for discovering drugs with desired gene regulatory effects associated with longevity.
Development of innovative waste utilization methodologies for material removal processes
Creators: name: Singh, Malkeet
Publisher: name: Swinburne
Year: 2024

description: There is a dire need to find appropriate technological and managerial solutions to deal with waste/scrap arising out of various manufacturing processes. Focus of the proposed research is directed towards the development and investigation of some technologies to tackle the problem of scrap. Developed coatings, feedstock powder particles, and additive manufacturing processes using waste swarf particles are breakthrough technologies and can be used simultaneously to coat and print some useful products for commercial applications. The scrap recycling concept contributes to circular economy and sustainability by utilizing the waste chips/swarf as powder feedstock in powder metallurgy, metal coating and additive manufacturing.