cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks
Creators: name: Xiao, Jinqi
name: Zhang, Chengming
name: Gong, Yu
name: Yin, Miao
name: Sui, Yang
name: Xiang, Lizhi
name: Tao, Dingwen
name: Yuan, Bo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Low-rank compression is an important model compression strategy for obtaining compact neural network models. In general, because the rank values directly determine the model complexity and model accuracy, proper selection of layer-wise rank is very critical and desired. To date, though many low-rank compression approaches, either selecting the ranks in a manual or automatic way, have been proposed, they suffer from costly manual trials or unsatisfied compression performance. In addition, all of the existing works are not designed in a hardware-aware way, limiting the practical performance of the compressed models on real-world hardware platforms.
 To address these challenges, in this paper we propose HALOC, a hardware-aware automatic low-rank compression framework. By interpreting automatic rank selection from an architecture search perspective, we develop an end-to-end solution to determine the suitable layer-wise ranks in a differentiable and hardware-aware way. We further propose design principles and mitigation strategy to efficiently explore the rank space and reduce the potential interference problem.
 Experimental results on different datasets and hardware platforms demonstrate the effectiveness of our proposed approach. On CIFAR-10 dataset, HALOC enables 0.07% and 0.38% accuracy increase over the uncompressed ResNet-20 and VGG-16 models with 72.20% and 86.44% fewer FLOPs, respectively. On ImageNet dataset, HALOC achieves 0.9% higher top-1 accuracy than the original ResNet-18 model with 66.16% fewer FLOPs. HALOC also shows 0.66% higher top-1 accuracy increase than the state-of-the-art automatic low-rank compression solution with fewer computational and memory costs. In addition, HALOC demonstrates the practical speedups on different hardware platforms, verified by the measurement results on desktop GPU, embedded GPU and ASIC accelerator.
description: AAAI-23
Spiking Synaptic Penalty: Appropriate Penalty Term for Energy-Efficient Spiking Neural Networks
Creators: name: Suetake, Kazuma
name: Ushimaru, Takuya
name: Saiin, Ryuji
name: Sawada, Yoshihide
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: Spiking neural networks (SNNs) are energy-efficient neural networks because of their spiking nature. However, as the spike firing rate of SNNs increases, the energy consumption does as well, and thus, the advantage of SNNs diminishes. Here, we tackle this problem by introducing a novel penalty term for the spiking activity into the objective function in the training phase. Our method is designed so as to optimize the energy consumption metric directly without modifying the network architecture. Therefore, the proposed method can reduce the energy consumption more than other methods while maintaining the accuracy. We conducted experiments for image classification tasks, and the results indicate the effectiveness of the proposed method, which mitigates the dilemma of the energy--accuracy trade-off.
description: 19 pages, 5 figures
Conditions for the existence of a generalization of Rényi divergence
Creators: name: Vigelis, Rui F.
name: de Andrade, Luiza H. F.
name: Cavalcante, Charles C.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Information Theory (cs.IT)
subject: Probability (math.PR)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: We give necessary and sufficient conditions for the existence of a generalization of Rényi divergence, which is defined in terms of a deformed exponential function. If the underlying measure $μ$ is non-atomic, we found that not all deformed exponential functions can be used in the generalization of Rényi divergence; a condition involving the deformed exponential function is provided. In the case $μ$ is purely atomic (the counting measure on the set of natural numbers), we show that any deformed exponential function can be used in the generalization.
A CH3CN and HCO+ survey towards southern methanol masers associated with star formation
Creators: name: Purcell, C. R.
name: Balasubramanyam, R.
name: Burton, M. G.
name: Walsh, A. J.
name: Minier, V.
name: Hunt-Cunningham, M. R.
name: Kedziora-Chudczer, L. L.
name: Longmore, S. N.
name: Hill, T.
name: Bains, I.
name: Barnes, P. J.
name: Busfield, A. L.
name: Calisse, P.
name: Crighton, N. H. M.
name: Curran, S. J.
name: Davis, T. M.
name: Dempsey, J. T.
name: Derragopian, G.
name: Fulton, B.
name: Hidas, M. G.
name: Hoare, M. G.
name: Lee, J. -K.
name: Ladd, E. F.
name: Lumsden, S. L.
name: Moore, T. J. T.
name: Murphy, M. T.
name: Oudmaijer, R. D.
name: Pracy, M. B.
name: Rathborne, J.
name: Robertson, S.
name: Schultz, A. S. B.
name: Shobbrook, J.
name: Sparks, P. A.
name: Storey, J.
name: Travouillion, T.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We present the initial results of a 3-mm spectral line survey towards 83 methanol maser selected massive star-forming regions. Here we report observations of the J=5-4 and 6-5 rotational transitions of methyl cyanide (CH3CN) and the J=1-0 transition of HCO+and H13CO+. CH3CN emission is detected in 58 sources (70 %) of our sample). We estimate the temperature and column density for 37 of these using the rotational diagram method. The temperatures we derive range from 28-166 K, and are lower than previously reported temperatures, derived from higher J transitions. We find that CH3CN is brighter and more commonly detected towards ultra-compact HII (UCHII) regions than towards isolated maser sources. Detection of CH3CN towards isolated maser sources strongly suggests that these objects are internally heated and that CH3CN is excited prior to the UCHII phase of massive star-formation. HCO+ is detected towards 82 sources (99 % of our sample), many of which exhibit asymmetric line profiles compared to H13CO+. Skewed profiles are indicative of inward or outward motions, however, we find approximately equal numbers of red and blue-skewed profiles among all classes. Column densities are derived from an analysis of the HCO+ and H13CO+ line profiles. 80 sources have mid-infrared counterparts: 68 seen in emission and 12 seen in absorption as `dark clouds'. Seven of the twelve dark clouds exhibit asymmetric HCO+ profiles, six of which are skewed to the blue, indicating infalling motions. CH3CN is also common in dark clouds, where it has a 90 % detection rate.
description: 29 pages, 16 figures. Accepted for publication in MNRAS. For associated online figures please see http://www.phys.unsw.edu.au/~crp/papers/cpurcell_2005_online.pdf
Thermal tuning of light-emitting diode wavelength as an implication of the Varshni equation
Creators: name: Ocaya, Richard O.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: In this article, we show that the variation of the wavelength of a non-pumped light-emitting diode (LED) is practically linear with temperature, a novel consequence of Varshni's widely accepted empirical expression. This formula models the bandgap variation for most semiconductors from 0K to their high-temperature limits, subject to fitting parameters. Therefore, we suggest an external thermal mechanism that can be used to tune the wavelength of a constant-current biased LED and also to stabilize its wavelength. Furthermore, we demonstrate the approach on published AlN data and show that the fitting parameters follow trivially. In addition, we suggest a novel method to characterize semiconductors. Finally, we present the results of experimental measurements on several commercial LEDs.
description: Accepted in Measurement (IMEKO) journal. This preprint has 16 pages, 5 figures (with 11 graphics total)
Performance of a partially stratified-charge gasoline engine
Creators: name: Brown, Greg
Publisher: name: University of British Columbia
Year: 2009

description: Stratified-charge lean burn engines have shown promise in their ability to reduce certain emissions and improve fuel economy while still providing acceptable driveability and performance. A local charge stratification process, the Partially Stratified-Charge (PSC) concept, has been developed at the University of British Columbia in an attempt to further improve lean burn operation. In the PSC engine, a lean homogeneous mixture is inducted into the combustion chamber and is compressed during the compression stroke. Just prior to the spark, a small amount of fuel is injected into the combustion chamber in the vicinity of the spark plug. This produces a rich pocket that can be ignited more easily and facilitates the combustion of the remaining lean homogeneous mixture. The main objective of the research presented here was to implement a PSC system on a gasoline engine and examine the performance of the PSC system relative to its homogeneous fuelled counterpart. Two different PSC systems were tested. The first system was based on a natural gas PSC system developed during previous work while the second system was a new gasoline PSC system developed specifically for this research. Analysis of the performance and emissions results for the natural gas PSC studies showed significant advantages over conventional lean burn and stoichiometric homogeneous-charge operation. The most notable improvement was up to a 15% extension in the relative air-to-fuel ratio (λ). Through this extension of the lean limit, the useable range of brake mean effective pressure was expanded, by up to 20%, when using PSC. A reduction in nitrogen oxide emissions and an increase in total unburned hydrocarbons also accompanied this extension of the lean limit. In-cylinder pressure data analysis demonstrated significantly higher peak in-cylinder pressures and shorter ignition delays with PSC. Throttled tests with the natural gas PSC system revealed the potential to reduce nitrogen oxide emissions, carbon monoxide emissions and brake specific fuel consumption over stoichiometric homogeneous charge operation. Improvements in PSC volumetric efficiency of up to 15% and 5% were realised compared to stoichiometric homogeneous and conventional lean burn operation, respectively. Extensive experiments were also undertaken with a gasoline PSC system, however, performance improvements, though expected, were not observed. Examinations of the gasoline PSC system suggested that there were some challenges in achieving local charge stratification in the vicinity of the ignition source. These results implied that further optimisation, and perhaps a redesign of the gasoline PSC system, would be required to fully realise the performance benefits demonstrated with the natural gas PSC system.
Investigating Mechanisms of State Localization in Highly-Ionized Dense Plasmas
Creators: name: Gawne, Thomas
name: Campbell, Thomas
name: Forte, Alessandro
name: Hollebon, Patrick
name: Perez-Callejo, Gabriel
name: Humphries, Oliver
name: Karnbach, Oliver
name: Kasim, Muhammad F.
name: Preston, Thomas R.
name: Lee, Hae Ja
name: Miscampbell, Alan
name: Berg, Quincy Y. van den
name: Nagler, Bob
name: Ren, Shenyuan
name: Royle, Ryan B.
name: Wark, Justin S.
name: Vinko, Sam M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: We present the first experimental observation of K$_β$ emission from highly charged Mg ions at solid density, driven by intense x-rays from a free electron laser. The presence of K$_β$ emission indicates the $n=3$ atomic shell is relocalized for high charge states, providing an upper constraint on the depression of the ionization potential. We explore the process of state relocalization in dense plasmas from first principles using finite-temperature density functional theory alongside a wavefunction localization metric, and find excellent agreement with experimental results.
description: 22 pages, 13 figures
Quantitative Study of Magnetotransport through a (Ga,Mn)As Single Ferromagnetic Domain
Creators: name: Goennenwein, S. T. B.
name: Russo, S.
name: Morpurgo, A. F.
name: Klapwijk, T. M.
name: van Roy, W.
name: de Boeck, J.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We have performed a systematic investigation of the longitudinal and transverse magnetoresistance of a single ferromagnetic domain in (Ga,Mn)As. We find that, by taking into account the intrinsic dependence of the resistivity on the magnetic induction, an excellent agreement between experimental results and theoretical expectations is obtained. Our findings provide a detailed and fully quantitative validation of the theoretical description of magnetotransport through a single ferromagnetic domain. Our analysis furthermore indicates the relevance of magneto-impurity scattering as a mechanism for magnetoresistance in (Ga,Mn)As.
description: 5 pages, 4 figures; v2: missing references included, figures recompressed to improve readability
NEMO: Frequentist Inference Approach to Constrained Linguistic Typology Feature Prediction in SIGTYP 2020 Shared Task
Creators: name: Gutkin, Alexander
name: Sproat, Richard
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: This paper describes the NEMO submission to SIGTYP 2020 shared task which deals with prediction of linguistic typological features for multiple languages using the data derived from World Atlas of Language Structures (WALS). We employ frequentist inference to represent correlations between typological features and use this representation to train simple multi-class estimators that predict individual features. We describe two submitted ridge regression-based configurations which ranked second and third overall in the constrained task. Our best configuration achieved the micro-averaged accuracy score of 0.66 on 149 test languages.
description: To appear in Second Workshop on Computational Research in Linguistic Typology (SIGTYP 2020) at 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Additional file 1 of An efficient single-cell transcriptomics workflow for microbial eukaryotes benchmarked on Giardia intestinalis cells
Creators: name: Onsbring, Henning
name: Tice, Alexander K.
name: Barton, Brandon T.
name: Brown, Matthew W.
name: Ettema, Thijs J. G.
Publisher: name: figshare
Year: 2020
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics

description: Additional file 1. Fragment length distribution for all cDNA libraries checked with Agilent High Sensitivity DNA Kit.
Cosmology with modified continuity equation in asymptotically safe gravity
Creators: name: Mandal, Rituparna
name: Gangopadhyay, Sunandan
name: Lahiri, Amitabha
Publisher: name: arXiv
Year: 2020
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study FLRW cosmology, taking into account quantum gravitational corrections in the formalism of the exact renormalization group flow of the effective action for gravity. We calculate the quantum corrected scale factor, energy density, and entropy production at late times, taking different cut-off functions. Our approach differs from previous ones in the way energy-momentum conservation is imposed -- we include the running Newton constant $G(k)$ in the definition of energy-momentum tensor, keeping in mind the covariant conservation identity of the Einstein tensor. The quantum corrections obtained in this approach are different from what are found by letting the conservation equation remain the same as for a scale-independent Newton constant. We also find that for a specific choice of the cut-off scale, the quantum corrected behaviour of the Newton constant and the cosmological constant lead to a bouncing emergent universe solution.
description: 25 pages Latex, some References added
Search for excited charmonium states in $e^+e^-$ Annihilation at $\sqrt{s}=10.6$ GeV
Creators: name: Liu, Kui-Yong
name: He, Zhi-Guo
name: Chao, Kuang-Ta
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We suggest searching for excited charmonium states in $e^+e^-$ annihilation via double charmonium production at $\sqrt{s}=10.6$ GeV with $B$ factories, based on a more complete leading order calculation including both QCD and QED contributions for various processes. In particular, for the C=+ states, the $χ_{c0}(nP)$ (n=2,3) and $η_c(mS)$ (m=3,4) may have appreciable potentials to be observed; while for the C=- states, the $η_ch_c$ production and especially the $χ_{c1}h_c$ production might provide opportunities for observing the $h_c$ with higher statistics in the future. A brief discussion for the X(3940) observed in the double charmonium production is included.
description: 13 pages and 8 figures in PRD version; QED contribution added; experimental and theoretical developments since 2004 summarized; references added
Pollution and the State: The Role of the Structure of Government
Creators: name: Lopez, Ramon E.
name: Galinato, Gregmar I.
name: Islam, Asif M.
name: Lopez, Ramon E.
name: Galinato, Gregmar I.
name: Islam, Asif M.
Publisher: name: Unknown
Year: 2009

description: Government spending has significant environmental implications. This paper analyzes the effect of the allocation of government spending between public goods broadly defined and private goods or non-social subsidies on air and water pollution. The theoretical model predicts that a reallocation of expenditures from private subsidies to public goods improves environmental quality by reducing production pollution. We estimate an empirical model that shows that such a reallocation causes a significant reduction in air pollutants namely sulfur dioxide and lead and an improvement in water quality measures including dissolved oxygen and biological oxygen demand.
Assessing potential efficiency gains in irrigated water use in New Zealand.
Creators: name: Ford, Stuart
name: Harris, Simon
name: Doak, Murray
name: Ford, Stuart
name: Harris, Simon
name: Doak, Murray
Publisher: name: Unknown
Year: 2009
Subjects: subject: Technical
subject: allocative
subject: dynamic efficiency
subject: framework
subject: case studies.

description: This paper reports a research project carried out on behalf of the Ministry of Agriculture and Forestry New Zealand designed to scope the issue of water efficiency in New Zealand and demonstrate where the most significant gains in efficiency can occur. The paper describes the efficiency framework developed based on the key areas of allocative, technical and dynamic efficiency. The areas of significant gains based on the theoretical analysis are tested against three community irrigation schemes. Although the case study findings support the theoretical conclusions there is a significant range of potential areas of improvement according to the nature of each case study.
Challenges in Docker Development: A Large-scale Study Using Stack Overflow
Creators: name: Haque, Mubin Ul
name: Iwaya, Leonardo Horn
name: Babar, M. Ali
Publisher: name: arXiv
Year: 2020
Subjects: subject: Software Engineering (cs.SE)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Docker technology has been increasingly used among software developers in a multitude of projects. This growing interest is due to the fact that Docker technology supports a convenient process for creating and building containers, promoting close cooperation between developer and operations teams, and enabling continuous software delivery. As a fast-growing technology, it is important to identify the Docker-related topics that are most popular as well as existing challenges and difficulties that developers face. This paper presents a large-scale empirical study identifying practitioners' perspectives on Docker technology by mining posts from the Stack Overflow (SoF) community. Method: A dataset of 113,922 Docker-related posts was created based on a set of relevant tags and contents. The dataset was cleaned and prepared. Topic modelling was conducted using Latent Dirichlet Allocation (LDA), allowing the identification of dominant topics in the domain. Our results show that most developers use SoF to ask about a broad spectrum of Docker topics including framework development, application deployment, continuous integration, web-server configuration and many more. We determined that 30 topics that developers discuss can be grouped into 13 main categories. Most of the posts belong to categories of application development, configuration, and networking. On the other hand, we find that the posts on monitoring status, transferring data, and authenticating users are more popular among developers compared to the other topics. Specifically, developers face challenges in web browser issues, networking error and memory management. Besides, there is a lack of experts in this domain. Our research findings will guide future work on the development of new tools and techniques, helping the community to focus efforts and understand existing trade-offs on Docker topics.
description: 11 pages, 3 Figures, conference
Optimal error bounds on the exponential wave integrator for the nonlinear Schrödinger equation with low regularity potential and nonlinearity
Creators: name: Bao, Weizhu
name: Wang, Chushan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 35Q55, 65M15, 65M70, 81Q05

description: We establish optimal error bounds for the exponential wave integrator (EWI) applied to the nonlinear Schrödinger equation (NLSE) with $ L^\infty $-potential and/or locally Lipschitz nonlinearity under the assumption of $ H^2 $-solution of the NLSE. For the semi-discretization in time by the first-order Gautschi-type EWI, we prove an optimal $ L^2 $-error bound at $ O(τ) $ with $ τ>0 $ being the time step size, together with a uniform $ H^2 $-bound of the numerical solution. For the full-discretization scheme obtained by using the Fourier spectral method in space, we prove an optimal $ L^2 $-error bound at $ O(τ+ h^2) $ without any coupling condition between $ τ$ and $ h $, where $ h>0 $ is the mesh size. In addition, for $ W^{1, 4} $-potential and a little stronger regularity of the nonlinearity, under the assumption of $ H^3 $-solution, we obtain an optimal $ H^1 $-error bound. Furthermore, when the potential is of low regularity but the nonlinearity is sufficiently smooth, we propose an extended Fourier pseudospectral method which has the same error bound as the Fourier spectral method while its computational cost is similar to the standard Fourier pseudospectral method. Our new error bounds greatly improve the existing results for the NLSE with low regularity potential and/or nonlinearity. Extensive numerical results are reported to confirm our error estimates and to demonstrate that they are sharp.
description: 26 pages, 8 figures
Complexity, parallel computation and statistical physics
Creators: name: Machta, J.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: The intuition that a long history is required for the emergence of complexity in natural systems is formalized using the notion of depth. The depth of a system is defined in terms of the number of parallel computational steps needed to simulate it. Depth provides an objective, irreducible measure of history applicable to systems of the kind studied in statistical physics. It is argued that physical complexity cannot occur in the absence of substantial depth and that depth is a useful proxy for physical complexity. The ideas are illustrated for a variety of systems in statistical physics.
description: 21 pages, 7 figures
Additional file 2 of An efficient single-cell transcriptomics workflow for microbial eukaryotes benchmarked on Giardia intestinalis cells
Creators: name: Onsbring, Henning
name: Tice, Alexander K.
name: Barton, Brandon T.
name: Brown, Matthew W.
name: Ettema, Thijs J. G.
Publisher: name: figshare
Year: 2020
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics

description: Additional file 2. TopHat2 mapping of Illumina sequencing reads to the G. intestinalis genome. Integrative Genomics Viewer display of read mapping results from “All Changes” replicate SRR9222552 using TopHat2 to a randomly selected 30 kb region of the G. intestinalis genome (contig NW_002477110.1).
Performance analysis of sequential carrier- and code-tracking receivers in the context of high-precision space-borne metrology systems
Creators: name: Euringer, Philipp
name: Hechenblaikner, Gerald
name: Soualle, Francis
name: Fichter, Walter
Publisher: name: arXiv
Year: 2023
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: Future space observatories achieve detection of gravitational waves by interferometric measurements of a carrier phase, allowing to determine relative distance changes, in combination with an absolute distance measurement based on the transmission of pseudo-random noise chip sequences. In addition, usage of direct-sequence spread spectrum modulation enables data transmission. Hereafter, we report on the findings of a novel performance evaluation of planned receiver architectures, performing phase and distance readout sequentially, addressing the interplay between both measurements. An analytical model is presented identifying the power spectral density of the chip modulation at frequencies within the measurement bandwidth as the main driver for phase noise. This model, verified by numerical simulations, excludes binary phase-shift keying modulations for missions requiring pico-meter noise levels at the phase readout, while binary offset carrier modulation, where most of the power has been shifted outside the measurement bandwidth, exhibits superior phase measurement performance. Ranging analyses of the delay-locked loop reveal strong distortion of the pulse shape due to the preceding phase tracking introducing ranging bias variations. Numerical simulations show that these variations, however, which originate from data transitions, are compensated by the delay tracking loop, enabling sub-meter ranging accuracy, irrespective of the modulation type.
description: 10 pages, 6 figures
Using choice experiments to value river and estuary health in Tasmania with individual preference heterogeneity
Creators: name: Kragt, Marit Ellen
name: Bennett, Jeffrey W.
name: Kragt, Marit Ellen
name: Bennett, Jeffrey W.
Publisher: name: Unknown
Year: 2009
Subjects: subject: River condition
subject: Estuary condition
subject: Environmental values
subject: Non-market valuation
subject: Choice Experiments
subject: Tasmania

description: Choice experiments (CE – otherwise known as Choice Modelling) have become a widespread approach to environmental valuation in Australia, with many examples assessing the tradeoffs between river catchment management and socio-economic impacts. There is, however, limited information on the values of Australian estuaries. Furthermore, none of the existing valuation studies address catchment management changes in Tasmania. The CE study reported in this paper aims to elicit community preferences for the protection of the rivers and estuary of the George catchment in north-eastern Tasmania. Results from conditional and mixed logit models show that respondents are, on average, willing to pay between $2.47 and $4.46 for a km increase in native riverside vegetation and between $9.35 and $10.97 per species for the protection of rare native plants and animals, ceteris paribus. The results are ambiguous about respondents’ preferences for estuary seagrass area. This study further shows significant differences between logit models when accounting for individual heterogeneity and repeated choices made by individual respondents.
The value of recreational fishing along the Capricorn Coast: A pooled revealed preference and contingent behaviour model
Creators: name: Prayaga, Prabha
name: Rolfe, John
name: Stoeckl, Natalie
name: Prayaga, Prabha
name: Rolfe, John
name: Stoeckl, Natalie
Publisher: name: Unknown
Year: 2009
Subjects: subject: recreational fishing
subject: count data
subject: contingent behaviour
subject: Great Barrier Reef

description: pooled revealed preference and contingent behaviour model
Evidence for increasing concentration in plant breeding industries in the United States and the European Union
Creators: name: Nolan, Elizabeth
name: Santos, Paulo
name: Nolan, Elizabeth
name: Santos, Paulo
Publisher: name: Unknown
Year: 2009
Subjects: subject: Intellectual Property Rights
subject: R&D
subject: market concentration
subject: germplasm

description: There is evidence of an increase in market concentration and in the importance of private plant breeding in the seed industry following the widespread adoption of Intellectual Property Rights regimes for the industry in the developed world. We use data from the US Patent and Trademark Office, US Plant Variety Protection Office and various European Plant Variety Protection databases to estimate the extent of these changes in the seed corn industry.
Advanced Semantics for Commonsense Knowledge Extraction
Creators: name: Nguyen, Tuan-Phong
name: Razniewski, Simon
name: Weikum, Gerhard
Publisher: name: arXiv
Year: 2020
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Commonsense knowledge (CSK) about concepts and their properties is useful for AI applications such as robust chatbots. Prior works like ConceptNet, TupleKB and others compiled large CSK collections, but are restricted in their expressiveness to subject-predicate-object (SPO) triples with simple concepts for S and monolithic strings for P and O. Also, these projects have either prioritized precision or recall, but hardly reconcile these complementary goals. This paper presents a methodology, called Ascent, to automatically build a large-scale knowledge base (KB) of CSK assertions, with advanced expressiveness and both better precision and recall than prior works. Ascent goes beyond triples by capturing composite concepts with subgroups and aspects, and by refining assertions with semantic facets. The latter are important to express temporal and spatial validity of assertions and further qualifiers. Ascent combines open information extraction with judicious cleaning using language models. Intrinsic evaluation shows the superior size and quality of the Ascent KB, and an extrinsic evaluation for QA-support tasks underlines the benefits of Ascent. A web interface, data and code can be found at https://ascent.mpi-inf.mpg.de/.
description: 12 pages, 3 figures, 11 tables
УЛЬТРАЗВУКОВАЯ ДИАГНОСТИКА ОПУХОЛЕЙ И ОПУХОЛЕВИДНЫХ ОБРАЗОВАНИЙ ЯИЧНИКОВ У ДЕТЕЙ И ПОДРОСТКОВ
Creators: name: Юсупалиева, Г.А.
name: Умарова, У.А.
Publisher: name: Zenodo
Year: 2025

description: Опухоли и опухолевидные образования яичников у детей и подростков представляют собой редкую, но клинически значимую патологию, требующую своевременной диагностики и дифференциального подхода. Ультразвуковое исследование (УЗИ) является основным методом первичной визуализации, позволяя выявлять структурные особенности новообразований, их кровоснабжение и распространенность.
Electron transport properties of graphene nanoribbons with Gaussian deformation
Creators: name: Tran, Van-Truong
name: Saint-Martin, Jérôme
name: Dollfus, Philippe
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Gaussian deformation in graphene structures exhibits an interesting effect in which flower-shaped confinement states are observed in the deformed region [Carrillo-Bastos et al., Phys. Rev. B 90 041411 (2014)]. To exploit such a deformation for various applications, tunable electronic features including a bandgap opening for semi-metallic structures are expected. Besides, the effects of disorders and external excitations also need to be considered. In this work, we present a systematic study on quantum transport of graphene ribbons with Gaussian deformation. Different levels of deformation are explored to find a universal behavior of the electron transmission. Using a tight-binding model in combination with Non-Equilibrium Green Functions formalism, we show that Gaussian deformation influences strongly the electronic properties of ribbons in which the electron transmission decreases remarkably in high energy regions even if small deformations are considered. Interestingly, it unveils that the first plateau of the transmission of semi-metallic armchair ribbons is just weakly affected in the case of small deformations. However, significant large Gaussian bumps can induce a strong drop of this plateau and a transport gap is formed. The transmission at the zero energy is found to decrease exponentially with increasing the size of the Gaussian bump. Moreover, the gap of semi-conducting ribbons is enlarged with large deformations. The opening or the widening of the transport gap in large deformed armchair structures is interpreted by a formation of a three-zone behavior along the transport direction of the hopping profile. On the other hand, a transport gap is not observed in zigzag ribbons regardless of the size of Gaussian bumps. This behavior is due to the strong localization of edge states at the energy point E = 0...
description: 25 pages, 12 figures
Degenerate Topological Edge States in Multimer Chains
Creators: name: Li, Jun
name: Yang, Yaping
name: Hu, C. M.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We propose and experimentally realize a class of quasi-one-dimensional topological lattices whose unit cells are constructed by coupled multiple identical resonators, with uniform hopping and inversion symmetry. In the presence of path-induced effective zero hopping within the unit cells, the systems are characterized by complete multimerization with degenerate $-1$ energy edge states for open boundary condition. Su-Schrieffer-Heeger subspaces with fully dimerized limits corresponding to pairs of nontrivial flat bands are derived from the Hilbert spaces. In particular, topological bound states in the continuum (BICs) are inherently present in even multimer chains, manifested by embedding the topological bound states into a continuous band assured by bulk-boundary correspondence. Moreover, we experimentally demonstrate the degenerate topological edge states and topological BICs in inductor-capacitor circuits.
description: 6page,4figures
Biexciton recombination rates in self-assembled quantum dots
Creators: name: Wimmer, Michael
name: Nair, S. V.
name: Shumway, J.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The radiative recombination rates of interacting electron-hole pairs in a quantum dot are strongly affected by quantum correlations among electrons and holes in the dot. Recent measurements of the biexciton recombination rate in single self-assembled quantum dots have found values spanning from two times the single exciton recombination rate to values well below the exciton decay rate. In this paper, a Feynman path-integral formulation is developed to calculate recombination rates including thermal and many-body effects. Using real-space Monte Carlo integration, the path-integral expressions for realistic three-dimensional models of InGaAs/GaAs, CdSe/ZnSe, and InP/InGaP dots are evaluated, including anisotropic effective masses. Depending on size, radiative rates of typical dots lie in the regime between strong and intermediate confinement. The results compare favorably to recent experiments and calculations on related dot systems. Configuration interaction calculations using uncorrelated basis sets are found to be severely limited in calculating decay rates.
description: 11 pages, 4 figures
Towards provably efficient quantum algorithms for large-scale machine-learning models
Creators: name: Liu, Junyu
name: Liu, Minzhao
name: Liu, Jin-Peng
name: Ye, Ziyu
name: Wang, Yunfei
name: Alexeev, Yuri
name: Eisert, Jens
name: Jiang, Liang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Large machine learning models are revolutionary technologies of artificial intelligence whose bottlenecks include huge computational expenses, power, and time used both in the pre-training and fine-tuning process. In this work, we show that fault-tolerant quantum computing could possibly provide provably efficient resolutions for generic (stochastic) gradient descent algorithms, scaling as O(T^2 polylog(n)), where n is the size of the models and T is the number of iterations in the training, as long as the models are both sufficiently dissipative and sparse, with small learning rates. Based on earlier efficient quantum algorithms for dissipative differential equations, we find and prove that similar algorithms work for (stochastic) gradient descent, the primary algorithm for machine learning. In practice, we benchmark instances of large machine learning models from 7 million to 103 million parameters. We find that, in the context of sparse training, a quantum enhancement is possible at the early stage of learning after model pruning, motivating a sparse parameter download and re-upload scheme. Our work shows solidly that fault-tolerant quantum algorithms could potentially contribute to most state-of-the-art, large-scale machine-learning problems.
description: 7+40 pages, 3+10 figures, replaced with final version providing substantial detail
Would Functional Agricultural Foods Improve Human Health?
Creators: name: Traill, W. Bruce
name: Arnoult, Matthieu H.
name: Chambers, Stephanie A.
name: Deaville, E.R.
name: Gordon, Michael H.
name: John, P.
name: Jones, Philip J.
name: Kliem, K.E.
name: Mortimer, S.R.
name: Tiffin, J. Richard
name: Traill, W. Bruce
name: Arnoult, Matthieu H.
name: Chambers, Stephanie A.
name: Deaville, E.R.
name: Gordon, Michael H.
name: John, P.
name: Jones, Philip J.
name: Kliem, K.E.
name: Mortimer, S.R.
name: Tiffin, J. Richard
Publisher: name: Unknown
Year: 2008
Subjects: Agribusiness
Agricultural and Food Policy
Farm Management
Food Consumption/Nutrition/Food Safety
Industrial Organization

description: Concern over diet-health relationships has moved to the forefront of public health concerns in the UK and much of the developed world. It has been estimated, for example, that obesity costs the UK National Health Service up to £6b per year (Rayner and Scarborough, 2005), but if all consumers were to follow recommended healthy eating guidelines there would be major implications for food consumption, land use and international trade (Srinivasan et al, 2006). This is unlikely to happen, at least in the short term, but it is realistic to anticipate some dietary adjustment toward the recommendations, resulting in an improvement in diet quality (Mazzocchi et al, 2007). Although consumers are reluctant to make major changes to their diets, they may be prepared to substitute existing foods for healthier alternatives. Three of the most prominent nutritional recommendations are to consume more fruit and vegetables, which contain phytochemicals beneficial to health, reduce consumption of saturated fatty acids (SFA) and increase intake of long-chain n-3 fatty acids (FA). In the first case, consumption of fruit and vegetables has been stable at around three 80 g portions per person per day according to the Health Survey for England. It is estimated that 42,200 deaths per year could be avoided in England and 411,000 Quality Adjusted Life Years (QALYs) could be saved if fruit and vegetable consumption were increased to the recommended 5 portions per day (Ofcom 2006). As well as continuing to encourage people to eat more, it could be desirable to ‘intensify’ the beneficial phytochemical content of existing fruit and vegetables.
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models
Creators: name: Ali, Hassan
name: Butt, Muhammad Atif
name: Filali, Fethi
name: Al-Fuqaha, Ala
name: Qadir, Junaid
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Recent works have shown that deep learning (DL) models can effectively learn city-wide crowd-flow patterns, which can be used for more effective urban planning and smart city management. However, DL models have been known to perform poorly on inconspicuous adversarial perturbations. Although many works have studied these adversarial perturbations in general, the adversarial vulnerabilities of deep crowd-flow prediction models in particular have remained largely unexplored. In this paper, we perform a rigorous analysis of the adversarial vulnerabilities of DL-based crowd-flow prediction models under multiple threat settings, making three-fold contributions. (1) We propose CaV-detect by formally identifying two novel properties - Consistency and Validity - of the crowd-flow prediction inputs that enable the detection of standard adversarial inputs with 0% false acceptance rate (FAR). (2) We leverage universal adversarial perturbations and an adaptive adversarial loss to present adaptive adversarial attacks to evade CaV-detect defense. (3) We propose CVPR, a Consistent, Valid and Physically-Realizable adversarial attack, that explicitly inducts the consistency and validity priors in the perturbation generation mechanism. We find out that although the crowd-flow models are vulnerable to adversarial perturbations, it is extremely challenging to simulate these perturbations in physical settings, notably when CaV-detect is in place. We also show that CVPR attack considerably outperforms the adaptively modified standard attacks in FAR and adversarial loss metrics. We conclude with useful insights emerging from our work and highlight promising future research directions.
Compatibility and Separability for Classical and Quantum Entanglement
Creators: name: Aerts, Diederik
name: de Ronde, Christian
name: D'Hooghe, Bart
Publisher: name: arXiv
Year: 2005
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study the concepts of compatibility and separability and their implications for quantum and classical systems. These concepts are illustrated on a macroscopic model for the singlet state of a quantum system of two entangled spin 1/2 with a parameter reflecting indeterminism in the measurement procedure. By varying this parameter we describe situations from quantum, intermediate to classical and study which tests are compatible or separated. We prove that for classical deterministic systems the concepts of separability and compatibility coincide, but for quantum systems and intermediate systems these concepts are generally different.
description: 9 pages, 3 figures, submitted to International Journal of Theoretical Physics
A Reachability Tree-Based Algorithm for Robot Task and Motion Planning
Creators: name: Kim, Kanghyun
name: Park, Daehyung
name: Kim, Min Jun
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: This paper presents a novel algorithm for robot task and motion planning (TAMP) problems by utilizing a reachability tree. While tree-based algorithms are known for their speed and simplicity in motion planning (MP), they are not well-suited for TAMP problems that involve both abstracted and geometrical state variables. To address this challenge, we propose a hierarchical sampling strategy, which first generates an abstracted task plan using Monte Carlo tree search (MCTS) and then fills in the details with a geometrically feasible motion trajectory. Moreover, we show that the performance of the proposed method can be significantly enhanced by selecting an appropriate reward for MCTS and by using a pre-generated goal state that is guaranteed to be geometrically feasible. A comparative study using TAMP benchmark problems demonstrates the effectiveness of the proposed approach.
description: IEEE International Conference on Robotics and Automation (ICRA) 2023
Impact of the Introduction of an e-CRM Solution in the Feed Industry: The Case of Progeo-Mangimi
Creators: name: Zanasi, Cesare
name: Marconi, Gianni
name: Zanasi, Cesare
name: Marconi, Gianni
Publisher: name: Unknown
Year: 2008
Subjects: Agribusiness
Agricultural and Food Policy
Farm Management
Food Consumption/Nutrition/Food Safety
Industrial Organization

description: Feed industry is very demanding in terms of logistics. This activity implies supplying, processing and, most of all, distributing perishable products (raw materials and feed), to a very large number of clients, often scattered in wide market areas (animal farms) with different qualitative, quantitative and timing needs. So far the use of ICTs within the feed industry in Italy regarded mostly the production phase in terms of feed composition optimisation, and the internal logistics. External relationships like e-CRM, etc.. have so far been rarely adopted. For many Italian small and medium enterprises, mostly in the agro-food sector, the diffusion of ICTs solutions for the management of their client relationship has been quite slow. The aim of this paper is to examine the factors affecting the success in the implementation of an e-CRM solution in an Italian feed industry; the implementation strategies adopted and their impact on the company logistics performances have been investigated; the methodological framework for the e-solution implementation strategy analysis is the “Building of organizational support for Supply chain Improvement” as defined in the SCOR model (Bolstorff P., Rosenbaum R., 2003). The SCOR model provided a useful analytical framework in order to define the variables affecting the successful implementation of the e-CRM. The results show a dramatic improvement in the Progeo- Mangimi customer relationship performances; the fundamental role of the Progeo management to organise and motivate the personnel involved, and to interact with the customers, emerged.