cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Overcoming Catastrophic Interference in Online Reinforcement Learning with Dynamic Self-Organizing Maps
Creators: name: Lo, Yat Long
name: Ghiassian, Sina
Publisher: name: arXiv
Year: 2019
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Using neural networks in the reinforcement learning (RL) framework has achieved notable successes. Yet, neural networks tend to forget what they learned in the past, especially when they learn online and fully incrementally, a setting in which the weights are updated after each sample is received and the sample is then discarded. Under this setting, an update can lead to overly global generalization by changing too many weights. The global generalization interferes with what was previously learned and deteriorates performance, a phenomenon known as catastrophic interference. Many previous works use mechanisms such as experience replay (ER) buffers to mitigate interference by performing minibatch updates, ensuring the data distribution is approximately independent-and-identically-distributed (i.i.d.). But using ER would become infeasible in terms of memory as problem complexity increases. Thus, it is crucial to look for more memory-efficient alternatives. Interference can be averted if we replace global updates with more local ones, so only weights responsible for the observed data sample are updated. In this work, we propose the use of dynamic self-organizing map (DSOM) with neural networks to induce such locality in the updates without ER buffers. Our method learns a DSOM to produce a mask to reweigh each hidden unit's output, modulating its degree of use. It prevents interference by replacing global updates with local ones, conditioned on the agent's state. We validate our method on standard RL benchmarks including Mountain Car and Lunar Lander, where existing methods often fail to learn without ER. Empirically, we show that our online and fully incremental method is on par with and in some cases, better than state-of-the-art in terms of final performance and learning speed. We provide visualizations and quantitative measures to show that our method indeed mitigates interference.
description: 9 Pages, 7 Figures, NeurIPS Workshop on Biological and Artificial Reinforcement Learning, 2019
eBrainII: A 3 kW Realtime Custom 3D DRAM integrated ASIC implementation of a Biologically Plausible Model of a Human Scale Cortex
Creators: name: Stathis, Dimitrios
name: Sudarshan, Chirag
name: Yang, Yu
name: Jung, Matthias
name: Jafri, Syed Asad Mohamad Hasan
name: Weis, Christian
name: Hemani, Ahmed
name: Lansner, Anders
name: Wehn, Norbert
Publisher: name: arXiv
Year: 2019
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: The Artificial Neural Networks (ANNs) like CNN/DNN and LSTM are not biologically plausible and in spite of their initial success, they cannot attain the cognitive capabilities enabled by the dynamic hierarchical associative memory systems of biological brains. The biologically plausible spiking brain models, for e.g. cortex, basal ganglia and amygdala have a greater potential to achieve biological brain like cognitive capabilities. Bayesian Confidence Propagation Neural Network (BCPNN) is a biologically plausible spiking model of cortex. A human scale model of BCPNN in real time requires 162 TFlops/s, 50 TBs of synaptic weight storage to be accessed with a bandwidth of 200 TBs. The spiking bandwidth is relatively modest at 250 GBs/s. A hand optimized implementation of rodent scale BCPNN has been implemented on Tesla K80 GPUs require 3 kW, we extrapolate from that a human scale network will require 3 MW. These power numbers rule out such implementations for field deployment as advanced cognition engines in embedded systems. The key innovation that this paper reports is that it is feasible and affordable to implement real time BCPNN as a custom tiled ASIC in 28 nm technology with custom 3D DRAM - eBrain II - that consumes 3 kWs for human scale and 12 W for rodent scale cortex model. Such implementations eminently fulfill the demands for field deployment.
Outside the Box: Abstraction-Based Monitoring of Neural Networks
Creators: name: Henzinger, Thomas A.
name: Lukina, Anna
name: Schilling, Christian
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Logic in Computer Science (cs.LO)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Neural networks have demonstrated unmatched performance in a range of classification tasks. Despite numerous efforts of the research community, novelty detection remains one of the significant limitations of neural networks. The ability to identify previously unseen inputs as novel is crucial for our understanding of the decisions made by neural networks. At runtime, inputs not falling into any of the categories learned during training cannot be classified correctly by the neural network. Existing approaches treat the neural network as a black box and try to detect novel inputs based on the confidence of the output predictions. However, neural networks are not trained to reduce their confidence for novel inputs, which limits the effectiveness of these approaches. We propose a framework to monitor a neural network by observing the hidden layers. We employ a common abstraction from program analysis - boxes - to identify novel behaviors in the monitored layers, i.e., inputs that cause behaviors outside the box. For each neuron, the boxes range over the values seen in training. The framework is efficient and flexible to achieve a desired trade-off between raising false warnings and detecting novel inputs. We illustrate the performance and the robustness to variability in the unknown classes on popular image-classification benchmarks.
description: accepted at ECAI 2020
Planowanie sprzedaży
Creators: name: Jasińska, Dagmara
name: Michał Bańka
name: Łukasz Woźniak
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: W niniejszym raporcie zawarta została prognoza przychodów ze sprzedaży dla przedsiębiorstw z branży transport lądowy i transport rurociągowy (PKD 49). Raport składa się ze wstępu, opisu teoretycznego, zastosowanej metody prognostycznej wraz z przedstawieniem jej praktycznego zastosowania wraz z uzasadnieniem na przykładzie analizowanych przedsiębiorstw
Human adaptations on Cedar Mesa, Southeastern Utah
Creators: name: Matson, R. G. (Richard Ghia), 1944-
name: Lipe, William D.
name: Haase, William R.
Publisher: name: University of British Columbia
Year: 2010

description: R.G. Matson is Professor of Archaeology Emeritus at the University of British Columbia. William D. Lipe is Professor of Anthropology Emeritus at Washington State University. William Haase IV is the Stonington Director of Planning, Stonington, Connecticut.
Improving biocatalytic reactions - immobilization via spray congealing & promising coupling reactions
Creators: name: Engelmann, Claudia
Publisher: name: University Rostock
Year: 2018
Subjects: subject: 540 Chemistry & allied sciences
subject: 660 Chemical engineering

description: Biocatalysts are promising alternatives to conventional chemical catalysts, because they are able to realize reactions under ambient conditions. Since these enzymes show often comparable low process stabilities, immobilization is highly interesting to increase stability and productivity. During this study immobilization via spray congealing was investigated as new immobilization technique to increase the enzyme stability. In addition, a laccase was immobilized with this method and tested for C-N coupling reactions of catechols and amines to synthezise new interesting building blocks.
Vacuum bosonic currents induced by a compactified cosmic string in dS background
Creators: name: Bragança, E. A. F.
name: de Mello, E. R. Bezerra
name: Mohammadi, A.
Publisher: name: arXiv
Year: 2019
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In this paper, we investigate the vacuum bosonic currents in the geometry of a compactified cosmic string in the background of the de Sitter spacetime. The currents are induced by magnetic fluxes, one running along the cosmic string and another one enclosed by the compact dimension. In order to develop this analysis, we obtain the complete set of normalized bosonic wave-functions obeying a quasiperiodicity condition. In this context, we calculate the azimuthal and axial current densities. Due to the quasiperiodicity condition, the quantum number associated with the compactification of the string along its axis becomes discrete, and we use the Abel-Plana summation formula to evaluate the non-vanishing current densities. We show that these quantities are explicitly decomposed into two contributions: one corresponds to the geometry of a straight uncompactified cosmic string and the other is induced by the compactification. We also compare the results with the literature in the case of a massive fermionic field in the same geometry.
description: 3 figuras
BioExcel Webinar #13 - Accessing Cloud & HTC Resources in BioExcel
Creators: name: Newhouse, Steven
Publisher: name: Zenodo
Year: 2017
Subjects: webinar

description: BioExcel’s webinar series continues with Steven Newhouse from EMBL-EBI, who discusses Cloud versus HTC (High Throughput Computing) resources, what is the difference and when you should use which. What type and volume of resources are available and where? Should you apply as an individual or as part of an organisation? How should you discover and access the resource? What are the cost implications of the different options and what is BioExcel doing to help users access cloud and HTC resources. This webinar is the second part of a 2-part series on compute resources. During the previous webinar on 8th March 2017 Lee Larcombe talked us through the benefits and challenges of local computing. If you missed it you can watch the recording: https://bioexcel.eu/webinar-how-to-choose-compute-resources-for-your-team-2017-03-08/.
DRIS standards for identifying yield-limiting nutrients in Khasi Mandarin and their relationship with fruit yield on acidic soil of the eastern Himalayas, India
Creators: name: Rymbai, Heiplanmi
name: Deshmukh, N.A.
name: Ramesh, T.
name: Verma, V.K.
name: Baiswar, P.
name: Mawlein, J.
name: Talang, H.D.
name: Dutta, S.K.
name: Choudhury, B.U.
name: Hazarika, S.
name: Mishra, V.K.
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Plant Biology

description: Mandarin fruits are the most widely grown citrus fruits in the world, particularly in the eastern Himalayas of India, which is the primary center of citrus diversity. Diagnosing potential nutritional imbalances using leaf tissue analysis is a mandatory practice for a higher yield. Regarding the nutritional diagnosis of Khasi mandarin plants, particularly in the acidic soil of the hilly ecology of the Eastern Himalayas, India, there is currently no information available. Therefore, the present study was conducted to identify nutrient constraints, establish leaf-based diagnostic recommended and integrated system (DRIS) norms, and determine nutrients’ relationship with fruit yields in 144 orchards. The result showed that the DRIS indices predicted a nutritional optimum value for Khasi mandarin: 2.26–2.83% N, 0.11–0.16% P, 1.86–2.07% K, 1.85–2.12% Ca, 0.33–0.48% Mg, 170.10–225.10 mg kg−1 Fe, 74.03–83.43 mg kg−1 Mn, 1.24–2.45 mg kg−1 Cu, and 19.84–21.28 mg kg−1 Zn. The DRIS norms identified the nutrients Zn, P, Ca, K, N, and Mg as deficient to low levels (14.15→2.14), while Fe, Mn, and Cu were at high to excessive levels (5.50→18.25). The nutritional balance index had a significantly negative relationship with the fruit yield. Leaf nutrient concentrations of N (0.909**), P (0.827**), K (0.867**), Zn (0.833**), Ca (0.827**), and Mg (0.592**) had a significant positive correlation with fruit yield. The finding will facilitate the correct interpretation of leaf nutrient analysis, and the norms developed will enable a precise intervention through nutrient management for higher yields in mandarin citrus.
Prognoza-przyszłorocznej-sprzedaży-dla-przedsiębiorstw-z-branży-budowlanej-Pilipiszyn-K-Bartosik-R
Creators: name: Bartosik, Rafal
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: Planowana prognoza przyszłorocznej sprzedaży dla przedsiębiorstw z branży budowlanej.
On Globalized Traces for the Poisson Sigma Model
Creators: name: Moshayedi, Nima
Publisher: name: arXiv
Year: 2019
Subjects: subject: Mathematical Physics (math-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Quantum Algebra (math.QA)
subject: Symplectic Geometry (math.SG)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: A globalized version of a trace formula for the Poisson Sigma Model on the disk is presented by using its formal global picture in the setting of the Batalin-Vilkovisky formalism. This global construction includes the concept of zero modes. Moreover, for the symplectic case of the Poisson Sigma Model with cotangent target, the globalized trace reduces to a symplectic construction which was presented by Grady, Li and Li for 1-dimensional Chern-Simons theory (topological quantum mechanics). In addition, the connection between this formula and the Nest-Tsygan theorem and the Tamarkin-Tsygan theorem is explained.
description: 42 pages, 12 figures
Obesity Prediction with EHR Data: A deep learning approach with interpretable elements
Creators: name: Gupta, Mehak
name: Phan, Thao-Ly T.
name: Bunnell, Timothy
name: Beheshti, Rahmatollah
Publisher: name: arXiv
Year: 2019
Subjects: subject: Applications (stat.AP)
subject: Machine Learning (cs.LG)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: Childhood obesity is a major public health challenge. Early prediction and identification of the children at a high risk of developing childhood obesity may help in engaging earlier and more effective interventions to prevent and manage obesity. Most existing predictive tools for childhood obesity primarily rely on traditional regression-type methods using only a few hand-picked features and without exploiting longitudinal patterns of children data. Deep learning methods allow the use of high-dimensional longitudinal datasets. In this paper, we present a deep learning model designed for predicting future obesity patterns from generally available items on children medical history. To do this, we use a large unaugmented electronic health records dataset from a large pediatric health system. We adopt a general LSTM network architecture which are known to better represent the longitudinal data. We train our proposed model on both dynamic and static EHR data. Our model is used to predict obesity for ages between 2-20 years. We compared the performance of our LSTM model with other machine learning methods that aggregate over sequential data and ignore temporality. To add interpretability, we have additionally included an attention layer to calculate the attention scores for the timestamps and rank features of each timestamp.
description: 19 pages, 4 Tables, 7 figures
PLANOWANIE PRZYCHODÓW ZE SPRZEDAŻY NA PRZYKŁADZIE PRZEDSIĘBIORSTW Z BRANŻY HANDLU HURTOWEGO Z WYŁĄCZENIEM HANDLU POJAZDAMI SAMOCHODOWMI I MOTOCYKLAMI
Creators: name: Świderska, Monika
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: planowanie przychodow ze sprzedazy
Sharing mode selection and optimal pricing for an electric vehicle manufacturer
Creators: name: Huang, Chun-Yong
name: Chen, Zhongwei
name: Fan, Zhi-Ping
name: Zhang, Qi
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: FOS: Biological sciences
subject: Computational Biology

description: This paper studies the sharing mode selection and optimal pricing for an electric vehicle manufacturer (EVM). We evaluate three sharing modes, i.e. Mode N, car sales business only, Mode S, car sales business and car-sharing service provided by a self-built sharing platform, and Mode T, car sales business and car-sharing service provided by a third-party sharing platform. Further, we consider two types of government subsidy policies: purchase and production subsidies. We find that for purchase subsidies, the EVM should select Mode S if the transaction cost per sharing service is low, and select Mode T otherwise; for production subsidies, the EVM should select Mode S. Regardless of the subsidy policy, the optimal sales prices of EVs under Mode N and Mode S are the same, but both are lower than that under Mode T. The optimal rental price of EVs under Mode S is lower than that under Mode T.
The rank of the 2-class group of some fields with large degree
Creators: name: Chems-Eddin, Mohamed Mahmoud
Publisher: name: arXiv
Year: 2020
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics

description: Let $n\geq 3$ be an integer and $d$ an odd square-free integer. We shall compute the rank of the $2$-class group of $L_{n,d}:=\mathbb{Q}(ζ_{2^n},\sqrt{d})$, when all the prime divisors of $d$ are congruent to $\pm 3\pmod 8$ or $9\pmod{16}$.
description: 9 pages
Possible Formation of a Perfect Fluid in $pp$, $p$-Pb, Xe-Xe and Pb-Pb Collisions at the Large Hadron Collider Energies: A Color String Percolation Approach
Creators: name: Sahu, Dushmanta
name: Tripathy, Sushanta
name: Sahoo, Raghunath
name: Tiwari, Swatantra Kumar
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: Nuclear Experiment (nucl-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Isothermal compressibility ($κ_{\rm T}$) is an important thermodynamic observable which gives information about the deviation of a system from perfect fluid behavior. In this work, for the first time we have estimated the isothermal compressibility of QCD matter formed in high energy hadronic and nuclear collisions using color string percolation model (CSPM), where we investigate the change in $κ_{\rm T}$ as a function of final state charged particle multiplicity and initial percolation temperature across various collision species. The estimated initial percolation temperature for different collision systems at different collision energies helps us to have a better understanding of the system at the initial phase of evolution. The comparison of the CSPM results for isothermal compressibility with that for the well known fluids, indicates that the matter formed in heavy-ion collisions might be the {\it closest perfect fluid} found in nature. This estimation complements the well-known observation of minimum shear viscosity to entropy density ratio for a possible QGP medium created in heavy-ion collision experiments. A threshold of pseudorapidity density of charged particles, $\langle dN_{\rm ch}/dη\rangle \geq 20 $ in the final state event multiplicity is observed, after which one may look for a possible QGP formation at the LHC energies.
description: Same as the published version
Upsetting Fake Ideas: Jeannette Armstrong's Slash and Beatrice Culleton's April Raintree
Creators: name: Fee, Margery
Publisher: name: Canadian Literature
Year: 2009

description: Both novels expose the "fake idea" that Aboriginal people in Canada can freely choose their identities. The dominant discourse forces a choice on them: assimilate or vanish. Those who refuse the choice face harsh racism. In April Raintree, April assimilates and her sister commits suicide; both "choices" forced on them by racism. In Slash, the hero realizes that it is crucial to retain his identity as an Okanagan person rather than to exhaust himself as an activist. Both novels end with a baby who will be raised in the traditions of his culture. Activism is seen as a dangerous choice for those too young to understand their identity.
Krótkoterminowe decyzje w zakresie finansów przedsiębiorstw, na przykładzie przedsiębiorstwa z branży: Produkcja metalowych wyrobów gotowych, z wyłączeniem maszyn i urządzeń
Creators: name: Grochowska, Kinga
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: W swojej pracy skupię się głównie na cyklu konwersji gotówki. Jest to bardzo ważny wskaźnik dla zarządzających przedsiębiorstwem. Po przeanalizowaniu wszystkich elementów tego cyklu widać na czym firma musi się bardziej skupić aby osiągać większe zyski.
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey
Creators: name: Tang, Yang
name: Zhao, Chaoqiang
name: Wang, Jianrui
name: Zhang, Chongzhen
name: Sun, Qiyu
name: Zheng, Weixing
name: Du, Wenli
name: Qian, Feng
name: Kurths, Juergen
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Autonomous systems possess the features of inferring their own state, understanding their surroundings, and performing autonomous navigation. With the applications of learning systems, like deep learning and reinforcement learning, the visual-based self-state estimation, environment perception and navigation capabilities of autonomous systems have been efficiently addressed, and many new learning-based algorithms have surfaced with respect to autonomous visual perception and navigation. In this review, we focus on the applications of learning-based monocular approaches in ego-motion perception, environment perception and navigation in autonomous systems, which is different from previous reviews that discussed traditional methods. First, we delineate the shortcomings of existing classical visual simultaneous localization and mapping (vSLAM) solutions, which demonstrate the necessity to integrate deep learning techniques. Second, we review the visual-based environmental perception and understanding methods based on deep learning, including deep learning-based monocular depth estimation, monocular ego-motion prediction, image enhancement, object detection, semantic segmentation, and their combinations with traditional vSLAM frameworks. Then, we focus on the visual navigation based on learning systems, mainly including reinforcement learning and deep reinforcement learning. Finally, we examine several challenges and promising directions discussed and concluded in related research of learning systems in the era of computer science and robotics.
description: This paper has been accepted by IEEE TNNLS
Robustly decorrelating errors with mixed quantum gates
Creators: name: Polloreno, Anthony M.
name: Young, Kevin C.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Coherent errors in quantum operations are ubiquitous. Whether arising from spurious environmental couplings or errors in control fields, such errors can accumulate rapidly and degrade the performance of a quantum circuit significantly more than an average gate fidelity may indicate. As Hastings [1] and Campbell [2] have recently shown, by replacing the deterministic implementation of a quantum gate with a randomized ensemble of implementations, on can dramatically suppress coherent errors. Our work begins by reformulating the results of Hastings and Campbell as a quantum optimal control problem. We then discuss a family of convex programs designed to improve the performance, implementability, and robustness of the resulting mixed quantum gates. Finally, we implement these mixed quantum gates on a superconducting qubit and discuss randomized benchmarking results consistent with a marked reduction in the coherent error. [1] M. B. Hastings, Quantum Information & Computation 17, 488 (2017). [2] E. Campbell, Physical Review A 95, 042306 (2017).
description: 11 pages, 8 figures
Liquid mirrors: a progress report.
Creators: name: Hickson, Paul
Publisher: name: Society of Photo-Optical Instrumentation Engineers (SPIE)
Year: 2011

description: Since liquid mirrors are potentially useful in science (e.g., astronomy, atmospheric sciences, and optical testing), work has been undertaken to determine whether they are technologically feasible. A testing tower has been equipped with a scatterplate interferometer interfaced with a CCD for data acquisition and a microcomputer for data analysis. This equipment was used to test a 1.5-m-diameter f/2 liquid mirror, showing that it is diffraction limited; interferometric measurements give Strehl ratios of order 0.8. A 2.7-m-diameter liquid mirror and astronomical observatory presently under construction is briefly described. Copyright 1990 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Analog spacetimes from nonrelativistic Goldstone modes in spinor condensates
Creators: name: Wilson, Justin H.
name: Curtis, Jonathan B.
name: Galitski, Victor M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: It is well established that linear dispersive modes in a flowing quantum fluid behave as though they are coupled to an Einstein-Hilbert metric and exhibit a host of phenomena coming from quantum field theory in curved space, including Hawking radiation. We extend this analogy to any nonrelativistic Goldstone mode in a flowing spinor Bose-Einstein condensate. In addition to showing the linear dispersive result for all such modes, we show that the quadratically dispersive modes couple to a special nonrelativistic spacetime called a Newton-Cartan geometry. The kind of spacetime (Einstein-Hilbert or Newton-Cartan) is intimately linked to the mean-field phase of the condensate. To illustrate the general result, we further provide the specific theory in the context of a pseudo-spin-1/2 condensate where we can tune between relativistic and nonrelativistic geometries. We uncover the fate of Hawking radiation upon such a transition: it vanishes and remains absent in the Newton-Cartan geometry despite the fact that any fluid flow creates a horizon for certain wave numbers. Finally, we use the coupling to different spacetimes to compute and relate various energy and momentum currents in these analog systems. While this result is general, present day experiments can realize these different spacetimes including the magnon modes for spin-1 condensates such as $^{87}$Rb, $^{7}$Li, $^{41}$K (Newton-Cartan), and $^{23}$Na (Einstein-Hilbert).
description: 24 pages, 2 tables, 6 figures
Planning of sales on the example of companies in the real estate activities (NACE 68) and architectural activities (NACE 71)
Creators: name: Wąsiołek, Martyna
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: This report presents forecast of sales for the companies in the real estate market
 (NACE 68, NACE 71). The report includes an introduction, a description of the theoretical
predictive method used and to provide a practical example application together with the reasons and conclusion.
The meeting of the Twain : managing health care capital, capacity and costs in Canada
Creators: name: Barer, M. L.
name: Evans, Robert G., 1942-
Publisher: name: Centre for Health Services and Policy Research (CHSPR)
Year: 2014

description: We begin by elaborating briefly on the fundamental differences noted above between the two systems. We then outline Canada's approach to health care system management, the relationship of such management to the management of each type of health care capital, and the inter-connected nature of the three classes of capital. The paper closes with our observations on where health care system management strategy is likely to go in Canada, on the challenges ahead, and on the significance of some of those challenges for American health care system reform.
title: Vainilla :
title: Directrices para la ejecución del examen de la distinción, la homogeneidad y la estabilidad.
titleType: Subtitle
Creators: name: International Union For The Protection Of New Varieties Of Plants,
Publisher: name: International Union for the Protection of New Varieties of Plants,
Year: 0
Subjects: Plants
New Varieties of Plants
Vanilla

description: La finalidad de estas directrices (“directrices de examen”) es elaborar los principios que figuran en la Introducción General (documento TG/1/3) y sus documentos TGP conexos, con objeto de que sirvan de orientación práctica y detallada para el examen armonizado de la distinción, homogeneidad y estabilidad (DHE) y en particular, para identificar los caracteres apropiados para el examen DHE y producir descripciones armonizadas de variedades.
The first eigenvalue of a homogeneous CROSS
Creators: name: Bettiol, Renato G.
name: Lauret, Emilio A.
name: Piccione, Paolo
Publisher: name: arXiv
Year: 2020
Subjects: subject: Differential Geometry (math.DG)
subject: Spectral Theory (math.SP)
subject: FOS: Mathematics
subject: 53C30, 58J50, 58J53, 35P15, 35B35, 58J55, 53A30

description: We provide explicit formulae for the first eigenvalue of the Laplace-Beltrami operator on a compact rank one symmetric space (CROSS) endowed with any homogeneous metric. As consequences, we prove that homogeneous metrics on CROSSes are isospectral if and only if they are isometric, and also discuss their stability (or lack thereof) as solutions to the Yamabe problem.
description: LaTeX2e, 53 pages, final (revised) version. To appear in J. Geom. Anal
PROPOZYCJA PRZYSZŁOROCZNEJ SPRZEDAŻY NA PRZYKŁADZIE PRZEDSIĘBIORSTW Z BRANŻY ZWIĄZANEJ Z PRODUKCJĄ FILMÓW, NAGRAŃ WIDEO, PROGRAMÓW TELEWIZYJNYCH, NAGRAŃ DŹWIĘKOWYCH I MUZYCZNYCH
Creators: name: Swist, Wojciech
name: A.Lizak
name: K.Ratajczak
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: Jest to praca poświęcona tematyce predykcji przyszłorocznej sprzedaży dla wybranych przedsiebiorst
Planowanie przychodów ze sprzedaży na przykładzie przedsiębiorstwa z branży wyrobów z tworzyw sztucznych dla budownictwa (PKD 22)
Creators: name: Janowska, Alicja
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: Tematem pracy jest przedstawienie prognozy przychodów ze sprzedaży na rok 2012 z wykorzystaniem rzeczywistych danych finansowych przedsiębiorstwa z branży budowlano-montażowej.
The Universal Exponentiable Arrow
Creators: name: Uemura, Taichi
Publisher: name: arXiv
Year: 2020
Subjects: subject: Category Theory (math.CT)
subject: Logic (math.LO)
subject: FOS: Mathematics

description: We show that the essentially algebraic theory of generalized algebraic theories, regarded as a category with finite limits, has a universal exponentiable arrow in the sense that any exponentiable arrow in any category with finite limits is the image of the universal exponentiable arrow by an essentially unique functor.
description: to appear in Journal of Pure and Applied Algebra
A single stochastic model for forecasting nurse supply and for estimating life-cycle activity patterns
Creators: name: Kazanjian, Arminée, 1947-
Publisher: name: Health Human Resources Unit (HHRU)
Year: 2014

description: [Prepared for presentation at the 5th Symposium Health and Economics - Human Resources in Health Care, Antwerp, November 16-17, 1989.]
Planowanie przychodów ze sprzedaży na przykładzie przedsiębiorstw z branży opieka zdrowotna (PKD 86).
Creators: name: Tański, Grzegorz
name: Wójcik, Arkadiusz
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: Poniższe opracowanie przedstawia prognozę przychodów ze sprzedaży dla przedsiębiorstwa z branży ochrona zdrowia (PKD 86). Raport składa się z opisu teoretycznego metody procentu od sprzedaży oraz prognozy dokonanej dla wybranych przedsiębiorstw, a także końcowych wniosków.
Novel Lagrangian Hierarchies, Generalized Variational ODE's and Families of Regular and Embedded Solitary Waves
Creators: name: Alfonso-Rodriguez, Ranses
name: Choudhury, S. Roy
Publisher: name: arXiv
Year: 2020
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: Dynamical Systems (math.DS)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 34A34, 34D10, 35A15

description: Hierarchies of Lagrangians of degree two, each only partly determined by the choice of leading terms and with some coefficients remaining free, are considered. The free coefficients they contain satisfy the most general differential geometric criterion currently known for the existence of a Lagrangian and variational formulation, and derived by solution of the full inverse problem of the calculus of variations for scalar fourth-order ODEs respectively. However, our Lagrangians have significantly greater freedom since our existence conditions are for individual coefficients in the Lagrangian. In particular, the classes of Lagrangians derived here have four arbitrary or free functions, including allowing the leading coefficient in the resulting variational ODEs to be arbitrary, and with models based on the earlier general criteria for a variational representation being special cases. For different choices of leading coefficients, the resulting variational equations could also represent traveling waves of various nonlinear evolution equations, some of which recover known physical models. Families of regular and embedded solitary waves are derived for some of these generalized variational ODEs in appropriate parameter regimes, with the embedded solitons occurring only on isolated curves in the part of parameter space where they exist. Future work will involve higher order Lagrangians, the resulting equations of motion, and their solitary wave solutions.
description: 15 pages, 8 figures (14 if counted individually)
Dynamic Quantum Games
Creators: name: Kolokoltsov, Vassili
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics
subject: 91A25, 81Q93, 35F21

description: Quantum games represent the really 21st century branch of game theory, tightly linked to the modern development of quantum computing and quantum technologies. The main accent in these developments so far was made on stationary or repeated games. In this paper we aim at initiating the truly dynamic theory with strategies chosen by players in real time. Since direct continuous observations are known to destroy quantum evolutions (so-called quantum Zeno paradox) the necessary new ingredient for quantum dynamic games must be the theory of non-direct observations and the corresponding quantum filtering. Apart from the technical problems in organising feedback quantum control in real time, the difficulty in applying this theory for obtaining mathematically amenable control systems is due partially to the fact that it leads usually to rather nontrivial jump-type Markov processes and/or degenerate diffusions on manifolds, for which the corresponding control is very difficult to handle. The starting point for the present research is the remarkable discovery (quite unexpected, at least to the author) that there exists a very natural class of homodyne detections such that the diffusion processes on projective spaces resulting by filtering under such arrangements coincide exactly with the standard Brownian motions (BM) on these spaces. In some cases one can even reduce the process to the plain BM on Euclidean spaces or tori. The theory of such motions is well studied making it possible to develop a tractable theory of related control and games, which can be at the same time practically implemented on quantum optical devices.
Optimal approximants and orthogonal polynomials in several variables
Creators: name: Sargent, Meredith
name: Sola, Alan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Complex Variables (math.CV)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 41A10 (primary), 46E22 (secondary)

description: We discuss the notion of optimal polynomial approximants in multivariable reproducing kernel Hilbert spaces. In particular, we analyze difficulties that arise in the multivariable case which are not present in one variable, for example, a more complicated relationship between optimal approximants and orthogonal polynomials in weighted spaces. Weakly inner functions, whose optimal approximants are all constant, provide extreme cases where nontrivial orthogonal polynomials cannot be recovered from the optimal approximants. Concrete examples are presented to illustrate the general theory and are used to disprove certain natural conjectures regarding zeros of optimal approximants in several variables.
description: 26 pages, 4 figures
Current biological and pharmacological updates on wogonin
Creators: name: Rawat, Sarita
name: Gupta, Gaurav
name: Pathak, Sachchidanand
name: Singh, Santosh Kumar
name: Singh, Himmat
name: Mishra, Anurag
name: Gilhotra, Ritu
name: Aljabali, Alaa A. A.
name: Dureja, Harish
name: Tambuwala, Murtaza M.
name: Chellappan, Dinesh K.
name: Dua, Kamal
Publisher: name: IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund
Year: 2020
Subjects: wogonin
anticancer
antiinflammatory
hepatoprotective

description: EXCLI Journal; 19:Doc635; ISSN 1611-2156
Planowanie przychodów ze sprzedaży na podstawie przedsiębiorstwa z branży handlu detalicznego i przedsiębiorstwa z branży fotograficznej
Creators: name: Pieszka, Monika
name: Pieczara, Marcin
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: Praca zawiera przedstawienie prognoz przychodów ze sprzedaży przedsiębiorstw działających w branży handlu detalicznego i fotograficznej przeprowadzonych przy pomocy modelu Holta. Omówione zostały także uzyskane wyniki oraz wnioski związane z porównaniem przedsiębiorstw obu branż.
Study of rural physician supply : practice location decisions and problems in retention
Creators: name: Kazanjian, Arminée, 1947-
name: Pagliccia, N.
name: Apland, L.
name: Cavalier, S.
name: Wood, L.
Publisher: name: Health Human Resources Unit (HHRU)
Year: 2014

description: The research was undertaken to examine the supply of physicians in rural practice in British Columbia and related problems of recruitment and retention. Practice location decisions of British Columbia physicians and the professional, community, and personal/family factors related to these were the focus for analysis. In order to estimate future supply, those currently completing internships/residencies were also surveyed. The intent of this survey was to describe current post-graduate physicians and their career plans. Thus the two surveys would allow a comparison of the practice profiles of current supply and the career expectations of future supply. The identification, from these profiles, of key characteristics pertaining to long-term rural practice could, therefore, facilitate successful recruitment, beginning at the residency level. Spouses of practising physicians also were surveyed, in recognition of the role that spouses and families play in influencing practice location decisions.
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures
Creators: name: Chauhan, Jatin
name: Nathani, Deepak
name: Kaul, Manohar
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: We propose to study the problem of few shot graph classification in graph neural networks (GNNs) to recognize unseen classes, given limited labeled graph examples. Despite several interesting GNN variants being proposed recently for node and graph classification tasks, when faced with scarce labeled examples in the few shot setting, these GNNs exhibit significant loss in classification performance. Here, we present an approach where a probability measure is assigned to each graph based on the spectrum of the graphs normalized Laplacian. This enables us to accordingly cluster the graph base labels associated with each graph into super classes, where the Lp Wasserstein distance serves as our underlying distance metric. Subsequently, a super graph constructed based on the super classes is then fed to our proposed GNN framework which exploits the latent inter class relationships made explicit by the super graph to achieve better class label separation among the graphs. We conduct exhaustive empirical evaluations of our proposed method and show that it outperforms both the adaptation of state of the art graph classification methods to few shot scenario and our naive baseline GNNs. Additionally, we also extend and study the behavior of our method to semi supervised and active learning scenarios.
description: 19 pages, 9 figures, Published as a conference paper at ICLR 2020
Automated post-hurricane image data curation and information extraction
Creators: name: Ro, Sun Ho
Publisher: name: No Publisher Supplied
Year: 2023

description: Hurricane research comprehends the underlying causes and impacts of hurricane damage. This knowledge enables the development of predictive models, informs emergency planning, and facilitates the construction of resilient infrastructure. Central to this understanding is the damage assessment process, which encompasses both data acquisition and analysis. Over the past decade, there has been a significant shift from conventional manual damage assessment methods to remote sensing technologies for acquiring hurricane damage data. Although these methods have proven effective in capturing large volumes of data, the effective curation and extraction of meaningful information remain challenging. This is compounded by the fact that most previously collected manual damage assessment data and imagery are not digitally linked, leading to data integration and analysis difficulties. Furthermore, the current natural disaster data infrastructure primarily focuses on data archiving and does not cater to advanced data informatics and curation, which is critical in the new era of big data and deep learning. Therefore, there is a need to emphasize the development of post-hurricane data curation methods, building damage assessment, and data infrastructure to enhance the management and utilization of hazard data. This research addresses these challenges by developing a novel framework for automated hurricane-affected building component damage assessment by integrating advanced machine learning, deep learning, computer vision, and natural language processing techniques. The initial focus is automating the labeling and classification of post-disaster imagery data by coupling pre-trained models with a natural disaster ontology. Subsequently, a framework is developed to process post-hurricane panoramic images into rectilinear building images, detect building components, and integrate the findings with manual damage assessment data. The final segment explores transformer networks to automate analyzing and categorizing intricate and unstructured images of post-hurricane damaged building components, reducing the need for extensive annotation data. Collectively, a prototype of a new hurricane data infrastructure incorporating the developed frameworks and data visualization is proposed. This research contributes significantly to the field of hurricane damage assessment. It addresses critical challenges in the field by transforming the process of data management, enhancing the efficiency and accuracy of damage assessments, and providing invaluable insights that could transform how researchers access and utilize data in natural disaster research. Ultimately, this work lays the foundation for a holistic natural disaster component-level damage assessment tool, thereby contributing to the development of more resilient infrastructures and informed emergency planning strategies.
Planowanie przychodów ze sprzedaży na przykładzie przedsiębiorstwa z branży robót budowlanych związane ze wznoszeniem budynków (PKD 41)
Creators: name: Pietrzak, Daria
Publisher: name: figshare
Year: 2013
Subjects: Economics

description: Raport przedstawia planowanie przyszłorocznej sprzedaży na przykładzie przedsiębiorstwa z branży robót budowlanych związanych ze wznoszeniem budynków (PKD 41) z wykorzystaniem procentu od sprzedaży.
Learning Context-aware Task Reasoning for Efficient Meta-reinforcement Learning
Creators: name: Wang, Haozhe
name: Zhou, Jiale
name: He, Xuming
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Despite recent success of deep network-based Reinforcement Learning (RL), it remains elusive to achieve human-level efficiency in learning novel tasks. While previous efforts attempt to address this challenge using meta-learning strategies, they typically suffer from sampling inefficiency with on-policy RL algorithms or meta-overfitting with off-policy learning. In this work, we propose a novel meta-RL strategy to address those limitations. In particular, we decompose the meta-RL problem into three sub-tasks, task-exploration, task-inference and task-fulfillment, instantiated with two deep network agents and a task encoder. During meta-training, our method learns a task-conditioned actor network for task-fulfillment, an explorer network with a self-supervised reward shaping that encourages task-informative experiences in task-exploration, and a context-aware graph-based task encoder for task inference. We validate our approach with extensive experiments on several public benchmarks and the results show that our algorithm effectively performs exploration for task inference, improves sample efficiency during both training and testing, and mitigates the meta-overfitting problem.
description: accepted by AAMAS2020
$N$-body simulations for parametrised modified gravity
Creators: name: Hassani, Farbod
name: Lombriser, Lucas
Publisher: name: arXiv
Year: 2020
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We present $\texttt{MG-evolution}$, an $N$-body code simulating the cosmological structure formation for parametrised modifications of gravity. It is built from the combination of parametrised linear theory with a parametrisation of the deeply nonlinear cosmological regime extrapolated from modified spherical collapse computations that cover the range of known screening mechanisms. We test $\texttt {MG-evolution}$, which runs at the speed of conventional $Λ$CDM simulations, against a suit of existing exact model-specific codes, encompassing linearised and chameleon $f(R)$ gravity as well as the normal branch of the Dvali-Gabadadz-Porrati braneworld model, hence covering both large-field value and large-derivative screening effects. We compare the nonlinear power spectra produced by the parametrised and model-specific approaches over the full range of scales set by the box size and resolution of our simulations, $k=(0.05-2.5)$~h/Mpc, and for two redshift slices, $z=0$ and $z=1$. We find sub-percent to one-percent level recovery of all the power spectra generated with the model-specific codes for the full range of scales. $\texttt {MG-evolution}$ can be used for generalised and accurate tests of gravity and dark energy with the increasing wealth of high-precision cosmological survey data becoming available over the next decade.
description: 11 pages, 3 figures. Updated to match version published in Monthly Notices of the Royal Astronomical Society