cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The impact of climate change on the hydrology of the Halda Basin, southeastern Bangladesh
Creators: name: Raihan, Farzana
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: Water security is one of the most challenging issues of the 21st century. Developing countries, including Bangladesh,are particularly vulnerable to climate change due to their low capacity for adaptation and mitigation, high population density and poverty. Climate change has already impacted water security in Bangladesh in many ways, mostly in the form of coastal and inland flooding due to higher monsoon precipitation and runoff, increased salinity and reduced flow during the dry season. Thus, this goal of this thesis is to identify current impacts of climate change on the Halda River Basin, southeastern Bangladesh, and assess potential future consequences of climate and land use change on river discharge. Meteorological records from this region indicate that temperature has increased by 0.4-0.6°C per decade since 1980 and 2013, although there has been no trend in mean or total precipitation. A Soil and Water Assessment Tool (SWAT) was used to simulate the catchment dynamics of a data-poor, monsoon driven, small river basin, and to serve as a baseline for scenario modelling. The model showed good agreement with gauge flow data, except during peak flows. The SWAT model was then used to predict the future impact of climate and land use changes, individually and combined, on streamflow in the Halda Basin. Result indicated a likely net gain in streamflow until at least 2060. Future shifts in temperature and precipitation of the Halda River will have broad ranging consequences. Hence, I also explored seasonal and annual relationships between carp spawn production and key climate and hydrological variables (temperature, precipitation and water discharge), finding that temperature plays the dominant role in determining spawn production over different time scales. However, precipitation and water discharge also influence spawn production on seasonal time-scales. The outcomes of this research could be used in designing management and planning tools to facilitate climate change adaptation.
"The Looming Nuclear War"
Creators: name: Dupuy, Jean-Pierre
Publisher: name: Stanford Digital Repository
Year: 2023
Subjects: subject: nuclear war
subject: deterrence
subject: pre-emption
subject: Ukraine
subject: tactical weapons

description: Despite the fact that the sole purpose of nuclear weapons in contemporary international security and defense policy relates to deterrence there is a looming nuclear war simply because it is always possible that these weapons would be used at some point. This analysis goes beneath geopolitics to look at nuclear weapons as the formidable and indeterminate tools they are but also offers criticism of the USA and Russia for leaving the Intermediate-Range Nuclear Forces treaty (INF) in 2009, a treaty that Reagan and Gorbachev had signed in 1987.
Strong coupling in thermoelectric nanojunctions: a reaction coordinate framework
Creators: name: McConnell, Conor
name: Nazir, Ahsan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We study a model of a thermoelectric nanojunction driven by vibrationally-assisted tunneling. We apply the reaction coordinate formalism to derive a master equation governing its thermoelectric performance beyond the weak electron-vibrational coupling limit. Employing full counting statistics we calculate the current flow, thermopower, associated noise, and efficiency without resorting to the weak vibrational coupling approximation. We demonstrate intricacies of the power-efficiency-precision trade-off at strong coupling, showing that the three cannot be maximised simultaneously in our model. Finally, we emphasise the importance of capturing non-additivity when considering strong coupling and multiple environments, demonstrating that an additive treatment of the environments can violate the upper bound on thermoelectric efficiency imposed by Carnot.
description: 14 pages, 10 figures. V2 - accepted version
William Herschel Telescope site characterization using the MOAO pathfinder CANARY on-sky data
Creators: name: Martin, O. A.
name: Correia, C. M.
name: Gendron, E.
name: Rousset, G.
name: Vidal, F.
name: Morris, T. J.
name: Basden, A. G.
name: Myers, R. M.
name: Ono, Y. H.
name: Neichel, B.
name: Fusco, T.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: Canary is the Multi-Object Adaptive Optics (MOAO) pathfinder for the future MOAO-assisted Integral-Field Units (IFU) proposed for Extremely Large Telescopes (ELT). The MOAO concept relies on tomographically reconstructing the turbulence using multiple measurements along different lines of sight. Tomography requires the knowledge of the statistical turbulence parameters, commonly recovered from the system telemetry using a dedicated profiling technique. For demonstration purposes with the MOAO pathfinder Canary , this identification is performed thanks to the Learn & Apply (L&A) algorithm, that consists in model- fitting the covariance matrix of WFS measurements dependent on relevant parameters: $C_n^2(h)$ profile, outer scale profile and system mis-registration. We explore an upgrade of this algorithm, the Learn 3 Steps (L3S) approach, that allows one to dissociate the identification of the altitude layers from the ground in order to mitigate the lack of convergence of the required empirical covariance matrices therefore reducing the required length of data time-series for reaching a given accuracy. For nominal observation conditions, the L3S can reach the same level of tomographic error in using five times less data frames than the L&A approach. The L3S technique has been applied over a large amount of Canary data to characterize the turbu- lence above the William Herschel Telescope (WHT). These data have been acquired the 13th, 15th, 16th, 17th and 18th September 2013 and we find 0.67"/8.9m/3.07m/s of total seeing/outer scale/wind-speed, with 0.552"/9.2m/2.89m/s below 1.5 km and 0.263"/10.3m/5.22m/s between 1.5 and 20 km. We have also de- termined the high altitude layers above 20 km, missed by the tomographic reconstruction on Canary , have a median seeing of 0.187" and have occurred 16% of observation time.
Scalable Feature Subset Selection for Big Data using Parallel Hybrid Evolutionary Algorithm based Wrapper in Apache Spark
Creators: name: Vivek, Yelleti
name: Ravi, Vadlamani
name: Radhakrishna, Pisipati
Publisher: name: arXiv
Year: 2021
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences
subject: I.2
subject: 68W50

description: Owing to the emergence of large datasets, applying current sequential wrapper-based feature subset selection (FSS) algorithms increases the complexity. This limitation motivated us to propose a wrapper for feature subset selection (FSS) based on parallel and distributed hybrid evolutionary algorithms (EAs) under the Apache Spark environment. The hybrid EAs are based on the BDE and Binary Threshold Accepting (BTA), a point-based EA, which is invoked to enhance the search capability and avoid premature convergence of the PB-DE. Thus, we designed the hybrid variants (i) parallel binary differential evolution and threshold accepting (PB-DETA), where DE and TA work in tandem in every iteration, and (ii) parallel binary threshold accepting and differential evolution (PB-TADE), where TA and DE work in tandem in every iteration under the Apache Spark environment. Both PB-DETA and PB-TADE are compared with the baseline, viz., the parallel version of the binary differential evolution (PB-DE). All three proposed approaches use logistic regression (LR) to compute the fitness function, namely, the area under ROC curve (AUC). The effectiveness of the proposed algorithms is tested over the five large datasets of varying feature space dimension, taken from cyber security and biology domains. It is noteworthy that the PB-TADE turned out to be statistically significant compared to PB-DE and PB-DETA. We reported the speedup analysis, average AUC obtained by the most repeated feature subset, feature subset with high AUC and least cardinality.
description: 28 pages, 10 Tables and 6 figures
State transition and electrocaloric effect of BaZr$_{x}$Ti$_{1-x}$O$_3$: simulation and experiment
Creators: name: Ma, Yang-Bin
name: Molin, Christian
name: Shvartsman, Vladimir V.
name: Gebhardt, Sylvia
name: Lupascu, Doru C.
name: Albe, Karsten
name: Xu, Bai-Xiang
Publisher: name: arXiv
Year: 2016
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The electrocaloric effect (ECE) of BaZr$_{x}$Ti$_{1-x}$O$_3$ (BZT) is closely related to the relaxor state transition of the materials. This work presents a systematic study on the ECE and the state transition of the BZT, using a combined canonical and microcanonical Monte Carlo simulations based a lattice-based on a Ginzburg-Landau-type Hamiltonian. For comparison and verification, experimental measurements have been carried on BTO and BZT ($x=0.12$ and $0.2$) samples, including the ECE at various temperatures, domain patterns by Piezoresponse Force Microscopy at room temperature, and the P-E loops at various temperatures. Results show that the dependency of BZT behavior of the Zr-concentration can be classified into three different stages. In the composition range of $ 0 \leq x \leq 0.2 $, ferroelectric domains are visible, but ECE peak drops with increasing Zr-concentration harshly. In the range of $ 0.3 \leq x \leq 0.7 $, relaxor features become prominent, and the decrease of ECE with Zr-concentration is moderate. In the high concentration range of $ x \geq 0.8 $, the material is almost nonpolar, and there is no ECE peak visible. Results suggest that BZT with certain low range of Zr-concentration around $x=0.12 \sim 0.3 $ can be a good candidate with relatively high ECE and simutaneously wide temperature application range at rather low temperature.
The Effects of Relative Importance of User Constraints in Cloud of Things Resource Discovery: A Case Study
Creators: name: Nunes, Luiz H.
name: Estrella, Julio C.
name: Delbem, Alexandre C. B.
name: Perera, Charith
name: Reiff-Marganiec, Stephan
Publisher: name: arXiv
Year: 2016
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: Over the last few years, the number of smart objects connected to the Internet has grown exponentially in comparison to the number of services and applications. The integration between Cloud Computing and Internet of Things, named as Cloud of Things, plays a key role in managing the connected things, their data and services. One of the main challenges in Cloud of Things is the resource discovery of the smart objects and their reuse in different contexts. Most of the existent work uses some kind of multi-criteria decision analysis algorithm to perform the resource discovery, but do not evaluate the impact that the user constraints has in the final solution. In this paper, we analyse the behaviour of the SAW, TOPSIS and VIKOR multi-objective decision analyses algorithms and the impact of user constraints on them. We evaluated the quality of the proposed solutions using the Pareto-optimality concept.
description: Proceedings of the 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016) Shaghai, China, December, 2016
On W algebras commuting with a set of screenings
Creators: name: Litvinov, Alexey
name: Spodyneiko, Lev
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We consider the problem of classification of all W algebras which commute with a set of exponential screening operators. Assuming that the W algebra has a nontrivial current of spin 3, we find equations satisfied by the screening operators and classify their solutions.
The concept of culture and the English intellectual, 1850-1975
Creators: name: Johnson, Lesley Ruth
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Fast reconstruction of programmable integrated interferometers
Creators: name: Bantysh, B. I.
name: Katamadze, K. G.
name: Chernyavskiy, A. Yu.
name: Bogdanov, Yu. I.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optics (physics.optics)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Programmable linear optical interferometers are important for classical and quantum information technologies, as well as for building hardware-accelerated artificial neural networks. Recent results showed the possibility of constructing optical interferometers that could implement arbitrary transformations of input fields even in the case of high manufacturing errors. The building of detailed models of such devices drastically increases the efficiency of their practical use. The integral design of interferometers complicates its reconstruction since the internal elements are hard to address. This problem can be approached by using optimization algorithms [Opt. Express 29, 38429 (2021)]. In this paper, we present a novel efficient algorithm based on linear algebra only, which does not use computationally expensive optimization procedures. We show that this approach makes it possible to perform fast and accurate characterization of high-dimensional programmable integrated interferometers. Moreover, the method provides access to the physical characteristics of individual interferometer layers.
Flare: Flexible In-Network Allreduce
Creators: name: De Sensi, Daniele
name: Di Girolamo, Salvatore
name: Ashkboos, Saleh
name: Li, Shigang
name: Hoefler, Torsten
Publisher: name: arXiv
Year: 2021
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Hardware Architecture (cs.AR)
subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences
subject: C.2.4; C.2.1; B.4.3

description: The allreduce operation is one of the most commonly used communication routines in distributed applications. To improve its bandwidth and to reduce network traffic, this operation can be accelerated by offloading it to network switches, that aggregate the data received from the hosts, and send them back the aggregated result. However, existing solutions provide limited customization opportunities and might provide suboptimal performance when dealing with custom operators and data types, with sparse data, or when reproducibility of the aggregation is a concern. To deal with these problems, in this work we design a flexible programmable switch by using as a building block PsPIN, a RISC-V architecture implementing the sPIN programming model. We then design, model, and analyze different algorithms for executing the aggregation on this architecture, showing performance improvements compared to state-of-the-art approaches.
Shack-Hartmann sensing with arbitrarily shaped pupil
Creators: name: Cui, J.
name: Dong, B.
name: Booth, M. J.
Publisher: name: Zenodo
Year: 2020
Subjects: adaptive optics, Shack-Hartmann

description: The measurements of Shack-Hartmann wavefront sensors in adaptive microscopy can be affected by missing or ill-formed spots behind the subapertures. This may change dynamically during operation, so an updatable control method is required. We provide a protocol along with Python code to update the wavefront corrector control matrix and command vector while performing Shack-Hartmann sensing with an arbitrarily shaped pupil for both zonal and modal control methods.
Application of artificial intelligence techniques for automated detection of myocardial infarction: A review
Creators: name: Joloudari, Javad Hassannataj
name: Mojrian, Sanaz
name: Nodehi, Issa
name: Mashmool, Amir
name: Zadegan, Zeynab Kiani
name: Shirkharkolaie, Sahar Khanjani
name: Alizadehsani, Roohallah
name: Tamadon, Tahereh
name: Khosravi, Samiyeh
name: Kohnehshari, Mitra Akbari
name: Hassannatajjeloudari, Edris
name: Sharifrazi, Danial
name: Mosavi, Amir
name: Loh, Hui Wen
name: Tan, Ru-San
name: Acharya, U Rajendra
Publisher: name: arXiv
Year: 2021
Subjects: subject: Signal Processing (eess.SP)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Myocardial infarction (MI) results in heart muscle injury due to receiving insufficient blood flow. MI is the most common cause of mortality in middle-aged and elderly individuals around the world. To diagnose MI, clinicians need to interpret electrocardiography (ECG) signals, which requires expertise and is subject to observer bias. Artificial intelligence-based methods can be utilized to screen for or diagnose MI automatically using ECG signals. In this work, we conducted a comprehensive assessment of artificial intelligence-based approaches for MI detection based on ECG as well as other biophysical signals, including machine learning (ML) and deep learning (DL) models. The performance of traditional ML methods relies on handcrafted features and manual selection of ECG signals, whereas DL models can automate these tasks. The review observed that deep convolutional neural networks (DCNNs) yielded excellent classification performance for MI diagnosis, which explains why they have become prevalent in recent years. To our knowledge, this is the first comprehensive survey of artificial intelligence techniques employed for MI diagnosis using ECG and other biophysical signals.
description: 16 pages, 8 figures
Girls only science classes in a coeducation school : a case study
Creators: name: Johnson, Barbara J.
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Nonexistence of small, odd breathers for a class of nonlinear wave equations
Creators: name: Kowalczyk, Michał
name: Martel, Yvan
name: Muñoz, Claudio
Publisher: name: arXiv
Year: 2016
Subjects: subject: Analysis of PDEs (math.AP)
subject: Mathematical Physics (math-ph)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: In this note, we show that for a large class of nonlinear wave equations with odd nonlinearities, any globally defined odd solution which is small in the energy space decays to $0$ in the local energy norm. In particular, this result shows nonexistence of small, odd breathers for some classical nonlinear Klein Gordon equations such as the sine Gordon equation and $ϕ^4$ and $ϕ^6$ models. It also partially answers a question of Soffer and Weinstein in \cite[p. 19]{MR1681113} about nonexistence of breathers for the cubic NLKG in dimension one.
Un mare di plastica... O un mare pulito?
Creators: name: Cottone, Erika
name: Saraceni, Astrid
name: Bovolin, Patrizia
Publisher: name: Zenodo
Year: 2023
Subjects: plastica, mare, rifiuti

description: Ciao! Ti piace l’estate, il mare, fare il bagno nell’acqua azzurra, magari in mezzo a tanti pesciolini colorati? Eh, sì, tutto questo è molto bello, ma purtroppo sempre più spesso il mare è come nell’immagine iniziale: tra animali e piante acquatiche ci sono bottiglie e contenitori in plastica, sacchetti della spesa, cannucce, bicchieri, tappi. La maggior parte di questi rifiuti raggiunge il mare attraverso i fiumi e gli scarichi e così la quantità di plastica nel mare continua ad aumentare. Gli studiosi prevedono che tra 30 anni ci saranno così tanti rifiuti di plastica negli oceani che il loro peso sarà uguale al peso di tutti i pesci che vivono nel mare, una quantità enorme! Moltissimi degli oggetti che usi tutti i giorni sono fatti di plastica, pensaci un po’... Continua a leggere
An $L^{2}$-isolation theorem for Yang-Mills fields on Kähler surfaces
Creators: name: Huang, Teng
Publisher: name: arXiv
Year: 2016
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics

description: We prove an $L^{2}$ energy gap result for Yang-Mills connections on principal $G$-bundles over compact Kähler surfaces with positive scalar curvature. We prove related results for compact simply-connected Calabi-Yau $2$-folds.
description: 12 pages; accepted for publication at the JGP
Milliarcsecond structure and variability of methanol maser emission in three high-mass protostars
Creators: name: Aberfelds, A
name: Bartkiewicz, A
name: Szymczak, M
name: Šteinbergs, J
name: Surcis, G
name: Kobak, A
name: Durjasz, M
name: Shmeld, I
Publisher: name: arXiv
Year: 2023
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: {The variability study of 6.7\,GHz methanol masers has become a useful way to improve our understanding of the physical conditions in high-mass star-forming regions.} {Based on the single-dish monitoring using the Irbene telescopes, we selected three sources with close sky positions.} {We imaged them using the European Very Long Baseline Interferometer Network and searched available data on VLBI archives to follow detailed changes in their structures and single maser spot variability.} {All three targets show a few groups of maser cloudlets of a typical size of 3.5\,mas and the majority of them show linear or arched structures with velocity gradients of order 0.22\kms\,mas$^{-1}$. The cloudlets and overall source morphologies are remarkably stable on time scales of 7-15\,yr supporting a scenario of variability due to changes in the maser pumping rate.}
description: 20 pages
The identification of effective strategies in resilient children, and the development of programs to transfer those skills to vulnerable children
Creators: name: Goode, Marged
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Compact and Optimal Deep Learning with Recurrent Parameter Generators
Creators: name: Wang, Jiayun
name: Chen, Yubei
name: Yu, Stella X.
name: Cheung, Brian
name: LeCun, Yann
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Deep learning has achieved tremendous success by training increasingly large models, which are then compressed for practical deployment. We propose a drastically different approach to compact and optimal deep learning: We decouple the Degrees of freedom (DoF) and the actual number of parameters of a model, optimize a small DoF with predefined random linear constraints for a large model of arbitrary architecture, in one-stage end-to-end learning. Specifically, we create a recurrent parameter generator (RPG), which repeatedly fetches parameters from a ring and unpacks them onto a large model with random permutation and sign flipping to promote parameter decorrelation. We show that gradient descent can automatically find the best model under constraints with faster convergence. Our extensive experimentation reveals a log-linear relationship between model DoF and accuracy. Our RPG demonstrates remarkable DoF reduction and can be further pruned and quantized for additional run-time performance gain. For example, in terms of top-1 accuracy on ImageNet, RPG achieves $96\%$ of ResNet18's performance with only $18\%$ DoF (the equivalent of one convolutional layer) and $52\%$ of ResNet34's performance with only $0.25\%$ DoF! Our work shows a significant potential of constrained neural optimization in compact and optimal deep learning.
New halo stars of the Galactic globular clusters M3 and M13 in the LAMOST DR1 Catalog
Creators: name: Navin, Colin A.
name: Martell, Sarah L.
name: Zucker, Daniel B.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: M3 and M13 are Galactic globular clusters with previous reports of surrounding stellar halos. We present the results of a search for members and extratidal cluster halo stars within and outside of the tidal radius of these clusters in the LAMOST Data Release 1. We find seven candidate cluster members (inside the tidal radius) of both M3 and M13 respectively. In M3 we also identify eight candidate extratidal cluster halo stars at distances up to ~9.8 times the tidal radius, and in M13 we identify 12 candidate extratidal cluster halo stars at distances up to ~13.8 times the tidal radius. These results support previous indications that both M3 and M13 are surrounded by extended stellar halos, and we find that the GC destruction rates corresponding to the observed mass loss are generally significantly higher than theoretical studies predict.
description: 21 pages, 10 figures. Accepted for publication in ApJ
Taking a Credible Position on Nature
Creators: name: Project, Embedding
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 350702
subject: Corporate social responsibility
classificationCode: 350701
subject: Corporate governance

description: There is growing pressure on companies to publicly acknowledge the unprecedented nature loss we face, and what they plan to do to address it. To help them do so, we reviewed over 1,000 statements on nature loss, biodiversity, and ecosystem stewardship from a wide range of geographies and industries, and identified examples of how companies are explaining the issue of nature loss, linking the issue of nature loss to their strategy, and clarifying their commitments to protect and restore nature. We hope this guide is helpful to you in articulating your own credible position statement on protecting and restoring nature.
Evaluating the Effectiveness of Large Language Models in Representing Textual Descriptions of Geometry and Spatial Relations
Creators: name: Ji, Yuhan
name: Gao, Song
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: I.2

description: This research focuses on assessing the ability of large language models (LLMs) in representing geometries and their spatial relations. We utilize LLMs including GPT-2 and BERT to encode the well-known text (WKT) format of geometries and then feed their embeddings into classifiers and regressors to evaluate the effectiveness of the LLMs-generated embeddings for geometric attributes. The experiments demonstrate that while the LLMs-generated embeddings can preserve geometry types and capture some spatial relations (up to 73% accuracy), challenges remain in estimating numeric values and retrieving spatially related objects. This research highlights the need for improvement in terms of capturing the nuances and complexities of the underlying geospatial data and integrating domain knowledge to support various GeoAI applications using foundation models.
Functional significance of conspicuous colouration in ontogenetic colour changing damselflies
Creators: name: Khan, Md Kawsar
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: Conspicuous animal colouration is predicted to evolve via sexual selection either to increase mating frequency or to reduce unprofitable mating harassment. The selective agents of conspicuous colouration can vary between the sexes and at different developmental stages. The function of conspicuous colouration is well studied in territorial mating systems but poorly understood in non-territorial mating systems. Here, I aim to study the functional significance of males and females conspicuous colouration at different developmental stages in non-territorial damselflies. In ontogenetic colour changing animals, individuals change colour during adulthood but the causes and consequences of conspicuous colouration at different life stages are often unclear. I studied the functions of male conspicuousness in Xanthagrion erythroneurum damselflies. In this species, males but not females carry conspicuous blue bands on the terminal abdominal segments and thoracic colouration of males change from yellow to red during ontogenesis. I performed mating experiments with males before and after colour change and showed that yellow males are sexually immature and attain conspicuous red colouration upon sexual maturity. Then, I showed that male conspicuous colouration (blue abdominal bands and red thoracic colouration) do not increase mating success via female mate choice, but reduce male-male mating attempts and male aggression in breeding territories. By reducing male aggression, conspicuous males can persist in breeding territories, ultimately increasing their mating success. I investigated the conspicuous female colouration in Agriocnemis femina damselfly, where females change colour from conspicuous red to green upon sexual maturity. I showed that males avoid mating with sexually immature red females and preferred green females that are larger and carry eggs. The juvenile females signal their sexual unprofitability with conspicuous colouration, thereby reducing sexual harassment in the pre-reproductive stages. In conclusion, my thesis provides evidence for the selective benefits of male and females conspicuous colouration in non-territorial mating systems.
Non-classical polynomials and the inverse theorem
Creators: name: Berger, Aaron
name: Sah, Ashwin
name: Sawhney, Mehtaab
name: Tidor, Jonathan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics

description: In this note we characterize when non-classical polynomials are necessary in the inverse theorem for the Gowers $U^k$-norm. We give a brief deduction of the fact that a bounded function on $\mathbb F_p^n$ with large $U^k$-norm must correlate with a classical polynomial when $k\leq p+1$. To the best of our knowledge, this result is new for $k=p+1$ (when $p>2$). We then prove that non-classical polynomials are necessary in the inverse theorem for the Gowers $U^k$-norm over $\mathbb F_p^n$ for all $k\geq p+2$, completely characterizing when classical polynomials suffice.
description: 11 pages
English in Nepalese education : an analysis of theoretical and contextual issues for the development of its policy guidelines
Creators: name: Giri, Ram Ashish
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Quantum Jarzynski equality of measurement-based work extraction
Creators: name: Morikuni, Yohei
name: Tajima, Hiroyasu
name: Hatano, Naomichi
Publisher: name: arXiv
Year: 2016
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Many studies of quantum-size heat engines assume that the dynamics of an internal system is unitary and that the extracted work is equal to the energy loss of the internal system. Both assumptions, however, should be under scrutiny. In the present paper, we analyze quantum-scale heat engines, employing the measurement-based formulation of the work extraction recently introduced by Hayashi and Tajima~[arXiv:1504.06150]. We first demonstrate the inappropriateness of the unitary time evolution of the internal system (namely the first assumption above) using a simple two-level system; we show that the variance of the energy transferred to an external system diverges when the dynamics of the internal system is approximated to a unitary time evolution. We second derive the quantum Jarzynski equality based on the formulation of Hayashi and Tajima as a relation for the work measured by an external macroscopic apparatus. The right-hand side of the equality reduces to unity for "natural" cyclic processes, but fluctuates wildly for non-cyclic ones, exceeding unity often. This fluctuation should be detectable in experiments and provide evidence for the present formulation.
description: 13 pages, 6 figures
Non-commutativity in polar coordinates
Creators: name: Edwards, James P.
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We reconsider the fundamental commutation relations for non-commutative $\mathbb{R}^{2}$ described in polar coordinates with non-commutativity parameter $θ$. Previous analysis found that the natural transition from Cartesian coordinates to polars led to a representation of $\left[\hat{r}, \hatφ\right]$ as an everywhere diverging series. We compute the Borel resummation of this series, showing that it can subsequently be extended throughout parameter space and hence provide an interpretation of this commutator. Our analysis provides a complete solution for arbitrary $r$ and $θ$ that reproduces the earlier calculations at lowest order. We compare our results to previous literature in the (pseudo-)commuting limit, finding a surprising spatial dependence for the coordinate commutator when $θ\gg r^{2}$. We raise some questions for future study in light of this progress.
description: 7 pages, 1 appendix, 2 figures. Minor formatting issues fixed
Plastic and microplastic: macropblems
Creators: name: Cottone, Erika
name: Faccio, Virginia
name: Saraceni, Astrid
name: Bovolin, Patrizia
Publisher: name: Zenodo
Year: 2023
Subjects: plastic, micro plastic, plasticine period

description: If you look around and try to guess what materials are the objects that you use every day made of, you will see that most of them are plastic. Food containers, such as bottles of water and soft drinks, shopping bags, shampoo containers, disposable plates, glasses, cutlery, straws, the pen, the ruler, the folder, the glue stick, the mobile phone, the computer, the remote control, chairs and tables, the clothes made of synthetic material. The list goes on: we are living in a period that has been called the "Plasticene", the era of plastic. Continua a leggere...
Undecimated Wavelet Transform for Word Embedded Semantic Marginal Autoencoder in Security improvement and Denoising different Languages
Creators: name: S, Shreyanth
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: Cryptography and Security (cs.CR)
subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: By combining the undecimated wavelet transform within a Word Embedded Semantic Marginal Autoencoder (WESMA), this research study provides a novel strategy for improving security measures and denoising multiple languages. The incorporation of these strategies is intended to address the issues of robustness, privacy, and multilingualism in data processing applications. The undecimated wavelet transform is used as a feature extraction tool to identify prominent language patterns and structural qualities in the input data. The proposed system may successfully capture significant information while preserving the temporal and geographical links within the data by employing this transform. This improves security measures by increasing the system's ability to detect abnormalities, discover hidden patterns, and distinguish between legitimate content and dangerous threats. The Word Embedded Semantic Marginal Autoencoder also functions as an intelligent framework for dimensionality and noise reduction. The autoencoder effectively learns the underlying semantics of the data and reduces noise components by exploiting word embeddings and semantic context. As a result, data quality and accuracy are increased in following processing stages. The suggested methodology is tested using a diversified dataset that includes several languages and security scenarios. The experimental results show that the proposed approach is effective in attaining security enhancement and denoising capabilities across multiple languages. The system is strong in dealing with linguistic variances, producing consistent outcomes regardless of the language used. Furthermore, incorporating the undecimated wavelet transform considerably improves the system's ability to efficiently address complex security concerns
Simple and practical DIQKD security analysis via BB84-type uncertainty relations and Pauli correlation constraints
Creators: name: Masini, Michele
name: Pironio, Stefano
name: Woodhead, Erik
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: According to the entropy accumulation theorem, proving the unconditional security of a device-independent quantum key distribution protocol reduces to deriving tradeoff functions, i.e., bounds on the single-round von Neumann entropy of the raw key as a function of Bell linear functionals, conditioned on an eavesdropper's quantum side information. In this work, we describe how the conditional entropy can be bounded in the 2-input/2-output setting, where the analysis can be reduced to qubit systems, by combining entropy bounds for variants of the well-known BB84 protocol with quantum constraints on qubit operators on the bipartite system shared by Alice and Bob. The approach gives analytic bounds on the entropy, or semi-analytic ones in reasonable computation time, which are typically close to optimal. We illustrate the approach on a variant of the device-independent CHSH QKD protocol where both bases are used to generate the key as well as on a more refined analysis of the original single-basis variant with respect to losses. We obtain in particular a detection efficiency threshold slightly below 80.26%, within reach of current experimental capabilities.
Entropic Model Predictive Optimal Transport for Underactuated Linear Systems
Creators: name: Ito, Kaito
name: Kashima, Kenji
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optimization and Control (math.OC)
subject: Systems and Control (eess.SY)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This letter investigates dynamical optimal transport of underactuated linear systems over an infinite time horizon. In our previous work, we proposed to integrate model predictive control and the celebrated Sinkhorn algorithm to perform efficient dynamical transport of agents. However, the proposed method requires the invertibility of input matrices, which severely limits its applicability. To resolve this issue, we extend the method to (possibly underactuated) controllable linear systems. In addition, we ensure the convergence properties of the method for general controllable linear systems. The effectiveness of the proposed method is demonstrated by a numerical example.
description: Published in IEEE Control Systems Letters
Directed flow in asymmetric nucleus-nucleus collisions and the inverse Landau-Pomeranchuk-Migdal effect
Creators: name: Toneev, V. D.
name: Voronyuk, V.
name: Kolomeitsev, E. E.
name: Cassing, W.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: It is proposed to identify a strong electric field - created during relativistic collisions of asymmetric nuclei - via the observation of pseudorapidity and transverse momentum distributions of hadrons with the same mass but opposite charge. The results of detailed calculations within the Parton-Hadron String Dynamics (PHSD) approach for the charge-dependent directed flow $v_1$ are presented for semi-central Cu+Au collision at $\sqrt{s_{NN}}=200$ GeV incorporating the inverse Landau-Pomeranchuk-Migdal (iLPM) effect, which accounts for a delay in the electromagnetic interaction with the charged degree of freedom. Including the iLPM effect we achieve a reasonable agreement of the PHSD results for the charge splitting in $v_1(p_T)$ in line with the recent measurements of the STAR Collaboration for Cu+Au collisions at $\sqrt{s_{NN}}=200$ GeV while an instant appearance and coupling of electric charges at the hard collision vertex overestimates the splitting by about a factor of 10. We predict that the iLPM effect should practically disappear at energies of $\sqrt{s_{NN}} \approx$9 GeV, which should lead to a significantly larger charge splitting of $v_1$ at the future FAIR/NICA facilities.
description: 5 pages, 6 figures
Multi-criteria IoT Resource Discovery: A Comparative Analysis
Creators: name: Nunes, Luiz H.
name: Estrella, Julio C.
name: Perera, Charith
name: Reiff-Marganiec, Stephan
name: Delbem, Alexandre N.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: The growth of real world objects with embedded and globally networked sensors allows to consolidate the Internet of Things paradigm and increase the number of applications in the domains of ubiquitous and context-aware computing. The merging between Cloud Computing and Internet of Things named Cloud of Things will be the key to handle thousands of sensors and their data. One of the main challenges in the Cloud of Things is context-aware sensor search and selection. Typically, sensors require to be searched using two or more conflicting context properties. Most of the existing work uses some kind of multi-criteria decision analysis to perform the sensor search and selection, but does not show any concern for the quality of the selection presented by these methods. In this paper, we analyse the behaviour of the SAW, TOPSIS and VIKOR multi-objective decision methods and their quality of selection comparing them with the Pareto-optimality solutions. The gathered results allow to analyse and compare these algorithms regarding their behaviour, the number of optimal solutions and redundancy.
description: Software: Practice and Experience
Optical and Radio variability of the Northern VHE gamma-ray emitting BL Lac objects
Creators: name: Lindfors, E. J.
name: Hovatta, T.
name: Nilsson, K.
name: Reinthal, R.
name: Ramazani, V. Fallah
name: Pavlidou, V.
name: Max-Moerbeck, W.
name: Richards, J.
name: Berdyugin, A.
name: Takalo, L.
name: Sillanpää, A.
name: Readhead, A. C. S.
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We compare the variability properties of very high energy gamma-ray emitting BL Lac objects in the optical and radio bands. We use the variability information to distinguish multiple emission components in the jet, to be used as a guidance for spectral energy distribution modelling. Our sample includes 32 objects in the Northern sky that have data for at least 2 years in both bands. We use optical R-band data from the Tuorla blazar monitoring program and 15 GHz radio data from the Owens Valley Radio Observatory blazer monitoring program. We estimate the variability amplitudes using the intrinsic modulation index, and study the time-domain connection by cross-correlating the optical and radio light curves assuming power law power spectral density. Our sample objects are in general more variable in the optical than radio. We find correlated flares in about half of the objects, and correlated long-term trends in more than 40% of the objects. In these objects we estimate that at least 10%-50% of the optical emission originates in the same emission region as the radio, while the other half is due to faster variations not seen in the radio. This implies that simple single-zone spectral energy distribution models are not adequate for many of these objects.
description: Accepted for publication in Astronomy and Astrophysics, 25 pages, 41 figures
Pulsation Analysis of High-Amplitude $δ$ Scuti Stars with TESS
Creators: name: Xue, Wangjunting
name: Niu, Jia-Shu
name: Xue, Hui-Fang
name: Yin, Sijing
Publisher: name: arXiv
Year: 2023
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: In this work, the pulsation analysis is performed on 83 high-amplitude $δ$ Scuti stars, which have been observed by the Transiting Exoplanet Survey Satellite (TESS). The results show that 49 of these HADS show single-mode pulsation, 27 of them show radial double-modes pulsation (in which 22 of them pulsate with the fundamental and first overtone modes and 5 of them pulsate with the first and second overtone modes), and 7 of them show radial triple-modes pulsation (3 of which are newly confirmed triple-mode HADS). The histogram of the fundamental periods and the ratios between the fundamental and first overtone periods show bimodal structures, which might be caused by the stellar evolution in this specific phase. Most of the radial triple-mode HADS have a fundamental amplitude of 41-54 mmag, and 50% of them have similar amplitudes of the fundamental and first overtone pulsation modes. All these hints require further confirmation not only in observations with more HADS samples, but also in theoretical models with suitable treatments of stellar evolution and pulsation.
description: 11 pages, 8 figures, 3 tables. RAA published
Graph-Based Learning for Stock Movement Prediction with Textual and Relational Data
Creators: name: Chen, Qinkai
name: Robert, Christian-Yann
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: Statistical Finance (q-fin.ST)
subject: FOS: Computer and information sciences
subject: FOS: Economics and business
subject: I.2.7
subject: 91-08

description: Predicting stock prices from textual information is a challenging task due to the uncertainty of the market and the difficulty understanding the natural language from a machine's perspective. Previous researches focus mostly on sentiment extraction based on single news. However, the stocks on the financial market can be highly correlated, one news regarding one stock can quickly impact the prices of other stocks. To take this effect into account, we propose a new stock movement prediction framework: Multi-Graph Recurrent Network for Stock Forecasting (MGRN). This architecture allows to combine the textual sentiment from financial news and multiple relational information extracted from other financial data. Through an accuracy test and a trading simulation on the stocks in the STOXX Europe 600 index, we demonstrate a better performance from our model than other benchmarks.
description: 10 pages, 3 figures, 5 tables