cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Study of Recent outburst in the Be/X-ray binary RX J0209.6-7427 with AstroSat: A new ultraluminous X-ray pulsar in the Magellanic Bridge?
Creators: name: Chandra, Amar Deo
name: Roy, Jayashree
name: Agrawal, P. C.
name: Choudhury, Manojendu
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We present the timing and spectral studies of RX J0209.6-7427 during its rare 2019 outburst using observations with the Soft X-ray Telescope (SXT) and Large Area X-ray Proportional Counter (LAXPC) instruments on the AstroSat satellite. Pulsations having a periodicity of 9.29 s were detected for the first time by the NICER mission in the 0.2-10 keV energy band and, as reported here, by AstroSat over a broad energy band covering 0.3-80 keV. The pulsar exhibits a rapid spin-up during the outburst. Energy resolved folded pulse profiles are generated in several energy bands in 3-80 keV. To the best of our knowledge this is the first report of the timing and spectral characteristics of this Be binary pulsar in hard X-rays. There is suggestion of evolution of the pulse profile with energy. The energy spectrum of the pulsar is determined and from the best fit spectral values, the X-ray luminosity of RX J0209.6-7427 is inferred to be ${1.6}\times 10^{39}$ ergs s$^{-1}$. Our timing and spectral studies suggest that this source has features of an ultraluminous X-ray pulsar in the Magellanic Bridge. Details of the results are presented and discussed in terms of the current ideas.
description: 9 pages, 8 figures, accepted for publication in MNRAS Journal
Decoherence mitigation by real-time noise acquisition
Creators: name: Braunbeck, Georg
name: Kaindl, Maximilian
name: Waeber, Andreas Michael
name: Reinhard, Friedemann
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present a scheme to neutralize the dephasing effect induced by classical noise on a qubit. The scheme builds upon the key idea that this kind of noise can be recorded by a classical device during the qubit evolution, and that its effect can be undone by a suitable control sequence that is conditioned on the measurement result. We specifically demonstrate this scheme on a nitrogen-vacancy (NV) center that strongly couples to current noise in a nearby conductor. By conditioning the readout observable on a measurement of the current, we recover the full qubit coherence and its intrinsic coherence time $T_2$. We demonstrate that this scheme provides a simple way to implement single-qubit gates with an infidelity of $10^{-2}$ even if they are driven by noisy sources, and we estimate that an infidelity of $10^{-5}$ could be reached with additional improvements. We anticipate this method to find widespread adoption in experiments using fast control pulses driven from strong currents, in particular in nanoscale magnetic resonance imaging, where control of peak current s of 100 mA with a bandwidth of 100 MHz is required.
On Phase Transition of Compressed Sensing in the Complex Domain
Creators: name: Yang, Zai
name: Zhang, Cishen
name: Xie, Lihua
Publisher: name: Swinburne
Year: 2024

description: The phase transition is a performance measure of the sparsity-undersampling tradeoff in compressed sensing (CS). This letter reports our first observation and evaluation of an empirical phase transition of the $ell_{1}$ minimization approach to the complex valued CS (CVCS), which is positioned well above the known phase transition of the real valued CS in the phase plane. This result can be considered as an extension of the existing phase transition theory of the block-sparse CS (BSCS) based on the universality argument, since the CVCS problem does not meet the condition required by the phase transition theory of BSCS but its observed phase transition coincides with that of BSCS. Our result is obtained by applying the recently developed ONE-L1 algorithms to the empirical evaluation of the phase transition of CVCS.
EVIDENCES OF EFFICIENT INVESTMENT PORTFOLIO IN INDIAN CAPITAL MARKETS- AN ANALYSIS BASED ON BSE AND NSE INDICES
Creators: name: Mehta, Deepshikha
Publisher: name: figshare
Year: 2015
Subjects: Economics

description: A decent budgetary portfolio is nothing more, and nothing less, than an accumulation of advantages that develop in quality and produce abundance money for the financial specialist to spend or reinvest. Markowitz (1959) is one of the pioneers of present day portfolio hypothesis.This paper would be of extensive importance and valuable to the different financial specialists in determination of stocks for their portfolios.
LineaRE: Simple but Powerful Knowledge Graph Embedding for Link Prediction
Creators: name: Peng, Yanhui
name: Zhang, Jing
Publisher: name: arXiv
Year: 2020
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: The task of link prediction for knowledge graphs is to predict missing relationships between entities. Knowledge graph embedding, which aims to represent entities and relations of a knowledge graph as low dimensional vectors in a continuous vector space, has achieved promising predictive performance. If an embedding model can cover different types of connectivity patterns and mapping properties of relations as many as possible, it will potentially bring more benefits for link prediction tasks. In this paper, we propose a novel embedding model, namely LineaRE, which is capable of modeling four connectivity patterns (i.e., symmetry, antisymmetry, inversion, and composition) and four mapping properties (i.e., one-to-one, one-to-many, many-to-one, and many-to-many) of relations. Specifically, we regard knowledge graph embedding as a simple linear regression task, where a relation is modeled as a linear function of two low-dimensional vector-presented entities with two weight vectors and a bias vector. Since the vectors are defined in a real number space and the scoring function of the model is linear, our model is simple and scalable to large knowledge graphs. Experimental results on multiple widely used real-world datasets show that the proposed LineaRE model significantly outperforms existing state-of-the-art models for link prediction tasks.
Social paradigms of the digital marketing- an Indian perspective of Social Media Marketing
Creators: name: Malhotra, Deepika
Publisher: name: figshare
Year: 2015
Subjects: Economics

description: With the tremendous and broadly scattered populace of India it has dependably been a test for organizations to control market progress and they need to strive to make their vicinity felt all through the length and expansiveness of the country. Gone are the days when an insignificant promotion on radio or an imaginative publicizing battle was sufficient to hypnotize the objective client. The Information correspondence innovation insurgency had made it basic for organizations to go for interactive media advancement crusades in western nations as well as in India. The developing web entrance, the high offers of advanced mobile phones and the 3G administrations being generally made accessible by cell telephone organizations in India together make impeccable conditions for a computerized upset to occur.
A Metric Space for Point Process Excitations
Creators: name: Marmarelis, Myrl G.
name: Steeg, Greg Ver
name: Galstyan, Aram
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: A multivariate Hawkes process enables self- and cross-excitations through a triggering matrix that behaves like an asymmetrical covariance structure, characterizing pairwise interactions between the event types. Full-rank estimation of all interactions is often infeasible in empirical settings. Models that specialize on a spatiotemporal application alleviate this obstacle by exploiting spatial locality, allowing the dyadic relationships between events to depend only on separation in time and relative distances in real Euclidean space. Here we generalize this framework to any multivariate Hawkes process, and harness it as a vessel for embedding arbitrary event types in a hidden metric space. Specifically, we propose a Hidden Hawkes Geometry (HHG) model to uncover the hidden geometry between event excitations in a multivariate point process. The low dimensionality of the embedding regularizes the structure of the inferred interactions. We develop a number of estimators and validate the model by conducting several experiments. In particular, we investigate regional infectivity dynamics of COVID-19 in an early South Korean record and recent Los Angeles confirmed cases. By additionally performing synthetic experiments on short records as well as explorations into options markets and the Ebola epidemic, we demonstrate that learning the embedding alongside a point process uncovers salient interactions in a broad range of applications.
Exploring the Loss Landscape in Neural Architecture Search
Creators: name: White, Colin
name: Nolen, Sam
name: Savani, Yash
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Neural architecture search (NAS) has seen a steep rise in interest over the last few years. Many algorithms for NAS consist of searching through a space of architectures by iteratively choosing an architecture, evaluating its performance by training it, and using all prior evaluations to come up with the next choice. The evaluation step is noisy - the final accuracy varies based on the random initialization of the weights. Prior work has focused on devising new search algorithms to handle this noise, rather than quantifying or understanding the level of noise in architecture evaluations. In this work, we show that (1) the simplest hill-climbing algorithm is a powerful baseline for NAS, and (2), when the noise in popular NAS benchmark datasets is reduced to a minimum, hill-climbing to outperforms many popular state-of-the-art algorithms. We further back up this observation by showing that the number of local minima is substantially reduced as the noise decreases, and by giving a theoretical characterization of the performance of local search in NAS. Based on our findings, for NAS research we suggest (1) using local search as a baseline, and (2) denoising the training pipeline when possible.
Diagnosis of the applications of Continuous Learning of Watkins and Marsick Model in IT Industry of Indian Silicon Valley
Creators: name: Manohar Shetty
Publisher: name: figshare
Year: 2015
Subjects: subject: Sociology
subject: FOS: Sociology
subject: Economics
subject: Philosophy
subject: FOS: Philosophy, ethics and religion

description: Each organization must turn into a learning association. Pioneers may think articulating a reasonable vision, the exact motivating forces for workers and giving preparing make associations to learn. This suspicion is not simply imperfect – it's hazardous despite heightened rivalry, progresses in innovation, and movements in client inclinations. In element complex circumstances cause and impacts are available in unobtrusive structures, yet the aftereffects of mediations are not instantly observable. In perspective of Watkins and Marsick, authoritative learning started with a shared perception that critical learning, Continuous Learning – It is the center of a fruitful association flourishing to increase focused edge over different organizations in a solid aggressive business. The goal of the study incorporates To determine the acts of Watkins and Marsick model in IT industry through Continuous Learning. Examination works together Moderate to High rankings for different components of Continuous Learning under demographic variables - Age, sexual orientation, Education, Occupation and Income. Exploration finishes up serious utilization of Continuous Learning in IT industry under demographic division variables. The movement from customary techniques to advanced strategies for Learning Organization practices is because of interest from the business and can even finish up giving Continuous Learning is have to associations in the dynamic association environment.
Role of nematicity in controlling spin fluctuations and superconducting Tc in bulk FeSe
Creators: name: Acharya, Swagata
name: Pashov, Dimitar
name: van Schilfgaarde, Mark
Publisher: name: arXiv
Year: 2020
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: FeSe undergoes a transition from a tetragonal to a slightly orthorhombic phase at 90\,K, and becomes a superconductor below 8\,K. The orthorhombic phase is sometimes called a nematic phase because quantum oscillation, neutron, and other measurements detect a significant asymmetry in $x$ and $y$. How nematicity affects superconductivity has recently become a matter of intense speculation. Here we employ an advanced \emph{ab-initio} Green's function description of superconductivity and show that bulk tetragonal FeSe would, in principle, superconduct with almost the same T$_{c}$ as the nematic phase. The mechanism driving the observed nematicity is not yet understood. Since the present theory underestimates nematicity, we simulate the full nematic asymmetry by artificially enhancing the orthorhombic distortion. For benchmarking, we compare theoretical spin susceptibilities against experimentally observed data over all energies and relevant momenta. When the orthorhombic distortion is adjusted to correlate with observed nematicity in spin susceptibility, the enhanced nematicity causes spectral weight redistribution in the Fe-3d$_{xz}$ and d$_{yz}$ orbitals, but it leads to at most 10-15$\%$ increment in T$_{c}$. This is because the d$_{xy}$ orbital always remains the most strongly correlated and provides most of the source of the superconducting glue. Nematicity suppresses the density of states at Fermi level; nevertheless T$_{c}$ increases, in contradiction to both BCS and BEC theories. We show how the increase is connected to the structure of the particle-particle vertex. Our results suggest while nematicity may be intrinsic property of bulk FeSe, is not the primary force driving the superconducting pairing.
description: 10 pages, 5 figures
Multiple solutions of the Dirichlet problem in multidimensional billiard spaces
Creators: name: Gabor, Grzegorz
name: Tomeček, Jan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 34A37, 34B37

description: Dirichlet problem in an $n$-dimensional billiard space is investigated. In particular, the system of ODEs $\ddot x(t) = f(t,x(t))$ together with Dirichlet boundary conditions $x(0) = A$, $x(T) = B$ in an $n$-dimensional interval $K$ with elastic impact on the boundary of $K$ is considered. The existence of multiple solutions having prescribed number of impacts with the boundary is proved. As a consequence the existence of infinitely many solutions is proved, too. The problem is solved by reformulation it into non-impulsive problem with a discontinuous right-hand side. This auxiliary problem is regularized and the Schauder Fixed Point Theorem is used.
description: 10 pages, 1 figure
Heat-mode excitation in a proximity superconductor
Creators: name: Denisov, A. O.
name: Bubis, A. V.
name: Piatrusha, S. U.
name: Titova, N. A.
name: Nasibulin, A. G.
name: Becker, J.
name: Treu, J.
name: Ruhstorfer, D.
name: Koblmueller, G.
name: Tikhonov, E. S.
name: Khrapai, V. S.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: Mesoscopic superconductivity deals with various quasiparticle excitation modes, only one of them -- the charge-mode -- being directly accessible for conductance measurements due to the imbalance in populations of quasi-electron and quasihole excitation branches. Other modes carrying heat or even spin, valley etc. currents populate the branches equally and are charge-neutral, which makes them much harder to control. This noticeable gap in the experimental studies of mesoscopic non-equilibrium superconductivity can be filled by going beyond the conventional DC transport measurements and exploiting spontaneous current fluctuations. Here, we perform such an experiment and investigate the transport of heat in an open hybrid device based on a superconductor proximitized InAs nanowire. Using shot noise measurements, we investigate sub-gap Andreev heat guiding along the superconducting interface and fully characterize it in terms of the thermal conductance on the order of $G_\mathrm{th}\sim e^2/h$, tunable by a back gate voltage. Understanding of the heat-mode also uncovers its implicit signatures in the non-local charge transport. Our experiments open a direct pathway to probe generic charge-neutral excitations in superconducting hybrids.
description: as published; preprint format; 45 pages together with supplemental materials
Are light sterile neutrinos preferred or disfavored by cosmology?
Creators: name: Joudaki, Shahab
name: Abazajian, Kevork N.
name: Kaplinghat, Manoj
Publisher: name: Swinburne
Year: 2024

description: We find that the viability of a cosmological model that incorporates 2 sterile neutrinos with masses around 1 eV each, as favored by global neutrino oscillation analyses including short baseline results, is significantly dependent on the choice of datasets included in the analysis and the ability to control the systematic uncertainties associated with these datasets. Our analysis includes a variety of cosmological probes including the cosmic microwave background (WMAP7+SPT), Hubble constant (HST), galaxy power spectrum (SDSS-DR7), and supernova distances (SDSS and Union2 compilations). In the joint observational analysis, our sterile neutrino model is equally favored as a LCDM model when using the MLCS light curve fitter for the supernova measurements, and strongly disfavored by the data at Deltachi^2 ~ 18 when using the SALT2 fitter. When excluding the supernova measurements, the sterile neutrino model is disfavored by the other datasets at Deltachi^2 ~ 12, and at best becomes mildly disfavored at Deltachi^2 ~ 3 when allowing for curvature, evolving dark energy, additional relativistic species, running of the spectral index, and freedom in the primordial helium abundance. No single additional parameter accounts for most of this effect. Therefore, if laboratory experiments continue to favor a scenario with roughly eV mass sterile neutrinos, and if this becomes decisively disfavored by cosmology, then a more exotic cosmological model than explored here may become necessary.
Plane partitions of shifted double staircase shape
Creators: name: Hopkins, Sam
name: Lai, Tri
Publisher: name: arXiv
Year: 2020
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics

description: We give a product formula for the number of shifted plane partitions of shifted double staircase shape with bounded entries. This is the first new example of a family of shapes with a plane partition product formula in many years. The proof is based on the theory of lozenge tilings; specifically, we apply the "free boundary" Kuo condensation due to Ciucu.
description: 27 pages, 13 figures, 1 table; v2: forthcoming, JCTA
HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew
Creators: name: Paz-Argaman, Tzuf
name: Mondshine, Itai
name: Mordechai, Asaf Achi
name: Tsarfaty, Reut
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: While large language models (LLMs) excel in various natural language tasks in English, their performance in lower-resourced languages like Hebrew, especially for generative tasks such as abstractive summarization, remains unclear. The high morphological richness in Hebrew adds further challenges due to the ambiguity in sentence comprehension and the complexities in meaning construction. In this paper, we address this resource and evaluation gap by introducing HeSum, a novel benchmark specifically designed for abstractive text summarization in Modern Hebrew. HeSum consists of 10,000 article-summary pairs sourced from Hebrew news websites written by professionals. Linguistic analysis confirms HeSum's high abstractness and unique morphological challenges. We show that HeSum presents distinct difficulties for contemporary state-of-the-art LLMs, establishing it as a valuable testbed for generative language technology in Hebrew, and MRLs generative challenges in general.
Land Cover Classification from Remote Sensing Images Based on Multi-Scale Fully Convolutional Network
Creators: name: Li, Rui
name: Zheng, Shunyi
name: Duan, Chenxi
name: Zhang, Ce
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In this paper, a Multi-Scale Fully Convolutional Network (MSFCN) with multi-scale convolutional kernel is proposed to exploit discriminative representations from two-dimensional (2D) satellite images.
Coherent synthetic aperture imaging for visible remote sensing via reflective Fourier ptychography
Creators: name: Xiang, Meng
name: Pan, An
name: Zhao, Yiyi
name: Fan, Xuewu
name: Zhao, Hui
name: Li, Chuang
name: Yao, Baoli
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optics (physics.optics)
subject: Image and Video Processing (eess.IV)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Synthetic aperture radar (SAR) can measure the phase with antenna and microwave, which cannot be directly extended to visible light imaging due to phase lost. In this letter, we reported an active remote sensing with visible light via reflective Fourier ptychography (FP), termed coherent synthetic aperture imaging (CSAI), achieving high resolution, wide field-of-view (FOV) and phase recovery. A proof-of-concept experiment was reported with laser scanning and a collimator for the infinite object. Both smooth and rough objects are tested, and the spatial resolution increased from 15.6 um to 3.48 um with a factor of 4.5. The speckle noise can be suppressed by FP unexpectedly. Meanwhile, the CSAI method may replace the adaptive optics to tackle the aberration induced from atmospheric turbulence and optical system by one-step deconvolution.
description: 4 pages, 4 figures
Supercell-core software: a useful tool to generate an optimal supercell for vertically stacked nanomaterials
Creators: name: Necio, Tomasz
name: Birowska, Magdalena
Publisher: name: arXiv
Year: 2020
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Vertically oriented materials, such as van der Waals heterostructures, that have novel hybrid properties are crucial for fundamental scientific research and the design of new nano-devices. Currently, most available theoretical methods require applying a supercell approach with periodic boundary conditions to explore the electronic properties of such nanomaterials. Herein, we present supercell-core software, which provides a way to determine the supercell of non-commensurate lattices, in particular, van der Waals heterostructures. Although this approach is very common, most of the reported work still uses supercells that are constructed 'by hand' and on a temporary basis. The developed software is designed to facilitate finding and constructing optimised supercells (i.e., with small size and minimal strain accumulation in adjacent layers) of vertically stacked lattices.
description: 8 pages, 6 figures
Hamiltonian cycles and 1-factors in 5-regular graphs
Creators: name: Van Cleemput, Nico
name: Zamfirescu, Carol T.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05C45 (Primary) 05C07, 05C10, 05C15, 05C70 (Secondary)

description: It is proven that for any integer $g \ge 0$ and $k \in \{ 0, \ldots, 10 \}$, there exist infinitely many 5-regular graphs of genus $g$ containing a 1-factorisation with exactly $k$ pairs of 1-factors that are perfect, i.e. form a hamiltonian cycle. For $g = 0$, this settles a problem of Kotzig from 1964. Motivated by Kotzig and Labelle's "marriage" operation, we discuss two gluing techniques aimed at producing graphs of high cyclic edge-connectivity. We prove that there exist infinitely many planar 5-connected 5-regular graphs in which every 1-factorisation has zero perfect pairs. On the other hand, by the Four Colour Theorem and a result of Brinkmann and the first author, every planar 4-connected 5-regular graph satisfying a condition on its hamiltonian cycles has a linear number of 1-factorisations each containing at least one perfect pair. We also prove that every planar 5-connected 5-regular graph satisfying a stronger condition contains a 1-factorisation with at most nine perfect pairs, whence, every such graph admitting a 1-factorisation with ten perfect pairs has at least two edge-Kempe equivalence classes. The paper concludes with further results on edge-Kempe equivalence classes in planar 5-regular graphs.
description: 27 pages, 13 figures; corrected figures
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application
Creators: name: Chen, Yu-Wen
name: Hung, Kuo-Hsuan
name: Li, You-Jin
name: Kang, Alexander Chao-Fu
name: Lai, Ya-Hsin
name: Liu, Kai-Chun
name: Fu, Szu-Wei
name: Wang, Syu-Siang
name: Tsao, Yu
Publisher: name: arXiv
Year: 2020
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Machine Learning (cs.LG)
subject: Sound (cs.SD)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: This study presents a deep learning-based speech signal-processing mobile application known as CITISEN. The CITISEN provides three functions: speech enhancement (SE), model adaptation (MA), and background noise conversion (BNC), allowing CITISEN to be used as a platform for utilizing and evaluating SE models and flexibly extend the models to address various noise environments and users. For SE, a pretrained SE model downloaded from the cloud server is used to effectively reduce noise components from instant or saved recordings provided by users. For encountering unseen noise or speaker environments, the MA function is applied to promote CITISEN. A few audio samples recording on a noisy environment are uploaded and used to adapt the pretrained SE model on the server. Finally, for BNC, CITISEN first removes the background noises through an SE model and then mixes the processed speech with new background noise. The novel BNC function can evaluate SE performance under specific conditions, cover people's tracks, and provide entertainment. The experimental results confirmed the effectiveness of SE, MA, and BNC functions. Compared with the noisy speech signals, the enhanced speech signals achieved about 6\% and 33\% of improvements, respectively, in terms of short-time objective intelligibility (STOI) and perceptual evaluation of speech quality (PESQ). With MA, the STOI and PESQ could be further improved by approximately 6\% and 11\%, respectively. Finally, the BNC experiment results indicated that the speech signals converted from noisy and silent backgrounds have a close scene identification accuracy and similar embeddings in an acoustic scene classification model. Therefore, the proposed BNC can effectively convert the background noise of a speech signal and be a data augmentation method when clean speech signals are unavailable.
Do current observations support transient acceleration of our universe?
Creators: name: Bolotin, Yu. L.
name: Cherkaskiy, V. A.
name: Konchatnyi, M. I.
name: Pan, Supriya
name: Yang, Weiqiang
Publisher: name: arXiv
Year: 2020
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: In the present article we have investigated a very natural question regarding the dynamics of the universe, namely, the possibility of its decelerating phase immediately after the present accelerating phase. To begin with, we have focused on the matter creation theory which is considered to be a viable alternative to dark energy and modified gravity models. Moreover, we have introduced the cosmographic approach which allows us to express the free parameters of a cosmological model in terms of the known cosmographic parameters. Assuming a generalized matter creation rate we have discussed the theoretical bounds on the model parameters allowing the future deceleration of the universe. Moreover, using the observational bounds on the cosmographic parameters obtained from the low redshifts observational probes, we have also examined the chance of a decelerating phase of the universe. Finally, considering a variety of known cosmological models and parametrizations, we have tested the same possibility. Our analysis shows that the chance of a future decelerating expansion of the universe is highly dependent on the choice of the cosmological models and parametrizations and also on the observational data. Even though the future decelerating expansion is allowed in some cosmological frameworks, but we do not see any strong evidence in favor of this. Perhaps, the future cosmological surveys could offer some more information regarding the fate of the universe.
description: 18 pages, 1 Table and 5 Figures; typos corrected; version published in IJMPD
Perceptions of reconciliation and related indigenous issues among young residents of Shepparton
Creators: name: Bourke, Lisa
name: Geldens, Paula
Publisher: name: Swinburne
Year: 2024

description: It has been argued that reconciliation between Indigenous and non-lndigenous Australians requires non-Indigenous Australians to change their attitudes. Some suggest that this process is occurring and that younger people hold more positive attitudes towards Indigenous Australians. This paper explored the perspectives of 86 young people from Shepparton, Victoria in relation to reconciliation and related Indigenous issues. The study found that young participants' views of reconciliation varied, and while some supported reconciliation, many opposed a national apology and indicated that they were not very informed about or interested in Aboriginal issues. Many distinguished between 'good' and 'bad' Aboriginals based on behaviour. Their talk was embedded with notions of special privilege, 'sameness' and social hierarchy but excluded attention to cultural difference. Findings suggest that these young people have embraced discourses of sameness, individualism and 'practical reconciliation' and that they are reluctant to reflect on their position of White privilege.
Constraints on neutrino mass and light degrees of freedom in extended cosmological parameter spaces
Creators: name: Joudaki, Shahab
Publisher: name: Swinburne
Year: 2024

description: From a combination of probes including the cosmic microwave background (WMAP7+SPT), Hubble constant (HST), baryon acoustic oscillations (SDSS+2dFGRS), and supernova distances (Union2), we have explored the extent to which the constraints on the effective number of neutrinos and sum of neutrino masses are affected by our ignorance of other cosmological parameters, including the curvature of the universe, running of the spectral index, primordial helium abundance, evolving late-time dark energy, and early dark energy. In a combined analysis of the effective number of neutrinos and sum of neutrino masses, we find mild (2.2
Temporal Pattern Classification of Speech with Spiking Neural Networks
Creators: name: Rowbottom, Alex
Publisher: name: figshare
Year: 2015
Subjects: subject: Artificial Intelligence and Image Processing
subject: FOS: Computer and information sciences

description: The process of how auditory neurons encode and learn to recognise speech signals is still an open question. Humans learn to differentiate between even very slight variations of tone, identifying words with ease, whilst current methods of speech recognition within machines either perform poorly in comparison or are biologically-implausible. Here we propose a biologically-inspired method for audio to spike encoding and the recognition of speech, using spiking neural networks. We implement a deterministic adaptation of Pfister’s learning rule [1] and the Tempotron learning rule [2] for training single-layer networks using the NEST simulator [3], and develop a method of audio to spike encoding based upon Fourier transforms. We achieve a reasonable level of performance from the Tempotron rule with the classification of up to five different spoken digits, where we have a binary output neuron for each class. The Pfister rule also achieves good performance, with the ability to classify up to three different spoken digits with 90% accuracy using just one output neuron. We also experiment with the number of spikes in the target spike train for Pfister learning, determining the precise coding of two spikes to be optimal in this particular task. [1] Pfister, J.-P., Toyoizumi, T., Barber, D., & Gerstner, W. (2006). Optimal spike-timing-dependent plasticity for precise action potential firing in supervised learning. Neural Computation, 18(6), 1318-1348. [2] Gütig, R., & Sompolinsky, H. (2006). The tempotron: a neuron that learns spike timing–based decisions. Nature Neuroscience, 9(3), 420-428. [3] Gewaltig, M.-O., & Diesmann, M. (2007). NEST (Neural Simulation Tool). Scholarpedia 2(4), 1430.
Eucalyptus agroforestry system in Chittagong: socio-economic potentiality amid controversies
Creators: name: Iqbal, Zahid
Publisher: name: figshare
Year: 2015
Subjects: subject: Soil Science
subject: Education
subject: 99901 Agricultural Engineering
subject: FOS: Other engineering and technologies
subject: Plant Biology
subject: FOS: Biological sciences
subject: Environmental Science
subject: Genetics

description: The study aimed to uncover the socio-economic potentialities of Eucalyptus of existing prominent agroforestry
systems in the rural landscape of Sitakunda and Mirsharai upazila of Chittagong district. Data were collected
from 90 agroforestry practitioners irrespective of age, sex and occupation following a semi-structured
questionnaire and 30 experimental plots were taken from three different agroforestry systems viz. homegardens,
boundary of the crop field and on fallow lands, where farmers used to cultivate Eucalyptus as a component of
agroforestry. To determine trends toward planting Eucalyptus, homegardens were categorized into three age
group viz. ˂15 year, 15-30 year, ˃30 year. Considering age group of the homegardens, significant difference is
prevailed among three types of homegarden. Average MAI of Eucalyptus in homegarden, crop field boundary and
fallow land were 10.681m3h-1yr-1, 48.618m3h-1yr-1 and 45.181m3h-1yr-1 at an average age of 8.9 year, 6 year and 6.3
year respectively. Farmers are aware with the present controversies of Eucalyptus which is disclosing through
mass media. All agroforestry practitioners believed that Eucalyptus is responsible for reducing agricultural crop
production and it is applicable for other trees also. However, they are still planting Eucalyptus ignoring the
controversies as it does not require intensive technical input and management.
Effect of Retransmissions on the Performance of the IEEE 802.11 MAC Protocol for DSRC
Creators: name: Hassan, Md. Imrul
name: Vu, Hai
name: Sakurai, Taka
name: Andrew, Lachlan L. H.
Publisher: name: Swinburne
Year: 2024

description: The reliable delivery of broadcast vehicle-to-vehicle (V2V) safety messages in IEEE 802.11p networks is challenging. We develop a model to predict the performance of such networks both with and without packet retransmission. We propose two mechanisms that use blind retransmission and demonstrate that both schemes improve the packet delivery ratio of so-called event messages with negligible degradation to that of routine safety messages.
Specific behavior of Sitophilus zeamais in the stocks of rice and maize in rural farmers at Bouaflé region, Côte d'Ivoire
Creators: name: Iqbal, Zahid
Publisher: name: figshare
Year: 2015
Subjects: subject: Soil Science
subject: Education
subject: 99901 Agricultural Engineering
subject: FOS: Other engineering and technologies
subject: Environmental Science
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences

description: Analysis of the array of pests established S. zeamais (Coleoptera : Curculionidae) to be the principal pest which
infects rice and maize storages and paves the way for the others insect pests’ infestation. S. zeamais is followed by
Tribolium castaneum (Coleoptera : Tenebionidae) and Rhyzopertha dominica (Coleoptera : Bostrichidae). In
pure numerical terms with respect to infestation of rice and maize cereals in Bouaflé, the study revealed that S.
zeamais represents an estimated 82.11 ± 12.40 % of the entire insect pests environment surveyed. Specific
examination of the behavior of S. zeamais indicated that this insect pest population size varies over time
throughout the storage period and is also responsive to the specific rice and maize species targeted. With respect
to infestation of rice, the study found that infestation rate upon IDSA 85, IDSA 78 and WITA 9 was much lower
than tan in the case of rice varieties NERICA, WAB 56-50 together with Zuna. Overall, infestation rate on maize
has been found to be higher than that of rice.
Observational constraints on thawing quintessence scalar field model
Creators: name: Felegary, Fereshteh
name: Bamba, Kazuharu
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences
subject: gr-qc

description: Thawing quintessence scalar field models with the various potential forms to explain the late-time cosmic acceleration are compared to the ΛCDM model in detail by analyzing cosmological parameters with a set of observational data including H(z), BAO, CMB, SNIa, BBN, and f(z)σ8 at the background and the perturbation levels. At low redshifts for the thawing quintessence scalar field models, the growth rate of the cosmic structure is significant. By utilizing a standard Markov Chain Monte Carlo (MCMC) procedure based on the recent expansion and the growth observational data with the statistical values of the Akaike and the Bayesian information criteria, we discuss the consistency of the thawing quintessence scalar field models with the set of different potentials with the observational data. The main consequence of this work is that despite the various considered potential forms that are very popular in the literature, we should be looking for consistent potential forms with observational data.
 Keywords: Thawing Dark Energy, Large Scale Structure, Markov Chain Monte Carlo Method, Observational Constraints, Matter Perturbations.
description: 19 pages, 9 figures, 6 tables
Minkowski summands of cubes
Creators: name: Castillo, Federico
name: Doolittle, Joseph
name: Goeckner, Bennet
name: Ross, Michael S.
name: Ying, Li
Publisher: name: arXiv
Year: 2020
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 52B05, 52B35

description: In pioneering works of Meyer and of McMullen in the early 1970s, the set of Minkowski summands of a polytope was shown to be a polyhedral cone called the type cone. Explicit computations of type cones are in general intractable. Nevertheless, we show that the type cone of the product of simplices is the cone over a simplex. This remarkably simple result derives from insights about rainbow point configurations and the work of McMullen.
description: 12 pages, 4 figures. Incorporated referee suggestions, minor edits throughout. This version focuses more on type cones of products of simplices than the previous version. Introduction has been partially rewritten to reflect this change. To appear in the Bulletin of the London Mathematical Society
Real-Time Anomaly Detection in Edge Streams
Creators: name: Bhatia, Siddharth
name: Liu, Rui
name: Hooi, Bryan
name: Yoon, Minji
name: Shin, Kijung
name: Faloutsos, Christos
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Social and Information Networks (cs.SI)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Given a stream of graph edges from a dynamic graph, how can we assign anomaly scores to edges in an online manner, for the purpose of detecting unusual behavior, using constant time and memory? Existing approaches aim to detect individually surprising edges. In this work, we propose MIDAS, which focuses on detecting microcluster anomalies, or suddenly arriving groups of suspiciously similar edges, such as lockstep behavior, including denial of service attacks in network traffic data. We further propose MIDAS-F, to solve the problem by which anomalies are incorporated into the algorithm's internal states, creating a `poisoning' effect that can allow future anomalies to slip through undetected. MIDAS-F introduces two modifications: 1) We modify the anomaly scoring function, aiming to reduce the `poisoning' effect of newly arriving edges; 2) We introduce a conditional merge step, which updates the algorithm's data structures after each time tick, but only if the anomaly score is below a threshold value, also to reduce the `poisoning' effect. Experiments show that MIDAS-F has significantly higher accuracy than MIDAS. MIDAS has the following properties: (a) it detects microcluster anomalies while providing theoretical guarantees about its false positive probability; (b) it is online, thus processing each edge in constant time and constant memory, and also processes the data orders-of-magnitude faster than state-of-the-art approaches; (c) it provides up to 62% higher ROC-AUC than state-of-the-art approaches.
description: Published in TKDD. Extended Journal Version of arXiv:1911.04464
MCW-Net: Single Image Deraining with Multi-level Connections and Wide Regional Non-local Blocks
Creators: name: Park, Yeachan
name: Jeon, Myeongho
name: Lee, Junho
name: Kang, Myungjoo
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: A recent line of convolutional neural network-based works has succeeded in capturing rain streaks. However, difficulties in detailed recovery still remain. In this paper, we present a multi-level connection and wide regional non-local block network (MCW-Net) to properly restore the original background textures in rainy images. Unlike existing encoder-decoder-based image deraining models that improve performance with additional branches, MCW-Net improves performance by maximizing information utilization without additional branches through the following two proposed methods. The first method is a multi-level connection that repeatedly connects multi-level features of the encoder network to the decoder network. Multi-level connection encourages the decoding process to use the feature information of all levels. In multi-level connection, channel-wise attention is considered to learn which level of features is important in the decoding process of the current level. The second method is a wide regional non-local block. As rain streaks primarily exhibit a vertical distribution, we divide the grid of the image into horizontally-wide patches and apply a non-local operation to each region to explore the rich rain-free background information. Experimental results on both synthetic and real-world rainy datasets demonstrate that the proposed model significantly outperforms existing state-of-the-art models. Furthermore, the results of the joint deraining and segmentation experiment prove that our model contributes effectively to other vision tasks.
Evaluating Ensemble Post-Processing for Wind Power Forecasts
Creators: name: Phipps, Kaleb
name: Lerch, Sebastian
name: Andersson, Maria
name: Mikut, Ralf
name: Hagenmeyer, Veit
name: Ludwig, Nicole
Publisher: name: arXiv
Year: 2020
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially when uncertain input variables, such as the weather, play a role. Since ensemble weather predictions aim to capture the uncertainty in the weather system, they can be used to propagate this uncertainty through to subsequent wind power forecasting models. However, as weather ensemble systems are known to be biased and underdispersed, meteorologists post-process the ensembles. This post-processing can successfully correct the biases in the weather variables but has not been evaluated thoroughly in the context of subsequent forecasts, such as wind power generation forecasts. The present paper evaluates multiple strategies for applying ensemble post-processing to probabilistic wind power forecasts. We use Ensemble Model Output Statistics (EMOS) as the post-processing method and evaluate four possible strategies: only using the raw ensembles without post-processing, a one-step strategy where only the weather ensembles are post-processed, a one-step strategy where we only post-process the power ensembles, and a two-step strategy where we post-process both the weather and power ensembles. Results show that post-processing the final wind power ensemble improves forecast performance regarding both calibration and sharpness, whilst only post-processing the weather ensembles does not necessarily lead to increased forecast performance.
description: Accepted by Wiley Wind Energy on April 19, 2022