cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
TECHNOLOGICAL CHANGE IN U.S. AGRICULTURE: THE ROLE OF PUBLIC AND PRIVATE R&D
Creators: name: Tokgoz, Simla
name: Tokgoz, Simla
Publisher: name: Unknown
Year: 2002
Subjects: Research and Development/Tech Change/Emerging Technologies

description: An endogenous growth model, in which technical change is attained through public and private R&D activities, is utilized to explore the role of technical change in TFP growth, to determine the impact of public and private agricultural R&D investments on the flow of agricultural patents, and to analyze the determinants of private agricultural R&D spending. The implications of the theoretical model are tested empirically for the U.S. agricultural sector. The empirical results are consistent with the theory. The main finding is that there is a positive relationship between TFP growth in the agricultural sector and agricultural patents. Current and past public and private R&D investments in agricultural sector have a significant and positive effect on agricultural patents. It is found that public R&D investment does not crowd out private R&D investment.
Phenomenological model of protected behavior in the cuprate superconductors
Creators: name: Barzykin, Victor
name: Pines, David
Publisher: name: arXiv
Year: 2006
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: By extending previous work on the scaling of low frequency magnetic properties of the 2-1-4 cuprates to the 1-2-3 materials, we arrive at a consistent phenomenological description of protected behavior in the pseudogap state of the magnetically underdoped cuprates. Between zero hole doping and a doping level of $\sim 0.22$ it reflects the presence of a mixture of an insulating spin liquid that produces the measured magnetic scaling behavior and a Fermi liquid that becomes superconducting for doping levels $x>0.06$. Our analysis suggests the existence of two quantum critical points, at doping levels, $x \sim 0.05$ and $x \sim 0.22$, and that d-wave superconductivity in the pseudogap region arises from quasiparticle-spin liquid interaction, i.e. magnetic interactions between quasiparticles in the Fermi liquid induced by their coupling to the spin liquid excitations.
description: 4 pages, 4 figures
The complementarity of a diverse range of deep learning features extracted from video content for video recommendation
Creators: name: Almeida, Adolfo
name: de Villiers, Johan Pieter
name: De Freitas, Allan
name: Velayudan, Mergandran
Publisher: name: arXiv
Year: 2020
Subjects: subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: Multimedia (cs.MM)
subject: FOS: Computer and information sciences

description: Following the popularisation of media streaming, a number of video streaming services are continuously buying new video content to mine the potential profit from them. As such, the newly added content has to be handled well to be recommended to suitable users. In this paper, we address the new item cold-start problem by exploring the potential of various deep learning features to provide video recommendations. The deep learning features investigated include features that capture the visual-appearance, audio and motion information from video content. We also explore different fusion methods to evaluate how well these feature modalities can be combined to fully exploit the complementary information captured by them. Experiments on a real-world video dataset for movie recommendations show that deep learning features outperform hand-crafted features. In particular, recommendations generated with deep learning audio features and action-centric deep learning features are superior to MFCC and state-of-the-art iDT features. In addition, the combination of various deep learning features with hand-crafted features and textual metadata yields significant improvement in recommendations compared to combining only the former.
ESTIMATING THE OPPORTUNITY COST OF RECREATION TIME IN AN INTEGRABLE 2-CONSTRAINT COUNT DEMAND MODEL
Creators: name: Larson, Douglas M.
name: Lew, Daniel K.
name: Shaikh, Sabina L.
name: Larson, Douglas M.
name: Lew, Daniel K.
name: Shaikh, Sabina L.
Publisher: name: Unknown
Year: 2002
Subjects: Consumer/Household Economics
Demand and Price Analysis

description: How researchers treat the opportunity cost of time substantially influences recreation demand parameter and welfare estimates. This paper presents a utility-theoretic and implementable approach, estimating the shadow value of time jointly with recreation demands for coastal activities, using a generalization of the semilog demand system in a two-constraint model.
PT-Symmetric Versus Hermitian Formulations of Quantum Mechanics
Creators: name: Bender, Carl M.
name: Chen, Jun-Hua
name: Milton, Kimball A.
Publisher: name: arXiv
Year: 2005
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: A non-Hermitian Hamiltonian that has an unbroken PT symmetry can be converted by means of a similarity transformation to a physically equivalent Hermitian Hamiltonian. This raises the following question: In which form of the quantum theory, the non-Hermitian or the Hermitian one, is it easier to perform calculations? This paper compares both forms of a non-Hermitian $ix^3$ quantum-mechanical Hamiltonian and demonstrates that it is much harder to perform calculations in the Hermitian theory because the perturbation series for the Hermitian Hamiltonian is constructed from divergent Feynman graphs. For the Hermitian version of the theory, dimensional continuation is used to regulate the divergent graphs that contribute to the ground-state energy and the one-point Green's function. The results that are obtained are identical to those found much more simply and without divergences in the non-Hermitian PT-symmetric Hamiltonian. The $\mathcal{O}(g^4)$ contribution to the ground-state energy of the Hermitian version of the theory involves graphs with overlapping divergences, and these graphs are extremely difficult to regulate. In contrast, the graphs for the non-Hermitian version of the theory are finite to all orders and they are very easy to evaluate.
description: 13 pages, REVTeX, 10 eps figures
Realization, Internal Stability, and Controller Synthesis
Creators: name: Tseng, Shih-Hao
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: We have witnessed the emergence of several controller parameterizations and the corresponding synthesis methods, including Youla, system level, input-output, and many other new proposals. Meanwhile, under the same synthesis method, there are multiple realizations to adopt. Different synthesis methods/realizations target different plants/scenarios. Except for some case-by-case studies, we don't currently have a unified framework to understand their relationships. To address the issue, we show that existing controller synthesis methods and realization proposals are all special cases of a simple lemma, the realization-stability lemma. The lemma leads to easier equivalence proofs among existing methods and enables the formulation of a general controller synthesis problem, which provides a unified foundation for controller synthesis and realization derivation.
THE VALUE OF QUALITY CERTIFICATION FOR INFANT FOODS: RESULTS FROM A MARKET EXPERIMENT IN MALI
Creators: name: Sanogo, Diakalia
name: Masters, William A.
name: Sanogo, Diakalia
name: Masters, William A.
Publisher: name: Unknown
Year: 2002
Subjects: Food Consumption/Nutrition/Food Safety

description: This paper uses an experimental-economics technique to measure the potential impact of introducing quality certification to the market for infant foods in Mali, where malnutrition is widespread. We find that certification could substantially lower food costs, generating net economic benefits on the order of US$20 per infant, per year.
THE SIZE OF THE PRIZE: TESTING RENT-DISSIPATION WHEN TRANSFER QUANTITY IS ENDOGENOUS
Creators: name: Bullock, David S.
name: Rutstrom, Elisabet E.
name: Bullock, David S.
name: Rutstrom, Elisabet E.
Publisher: name: Unknown
Year: 2001
Subjects: Political Economy

description: We present a transfer-seeking model of political economy in which the size of the transfer is determined endogenously, and in which over-dissipation of rents is predicted even under conditions of risk-neutrality and perfect rationality. We implement an empirical test of this model by collecting behavioral data in a laboratory experiment. We confirm the existence of behavior that leads to over-dissipation of rents in games with both symmetric and asymmetric political power. We also confirm the hypotheses that lowering the political power of one player can lead to smaller rent-seeking expenditures and to larger transfers. We observe behavior that deviates from dominant strategies.
IMPACT OF ELECTRIC POWER SECTOR REFORMS ON FARM INCOMES IN INDIA
Creators: name: Aggarwal, Rimjhim
name: Umali-Deininger, Dina
name: Narayan, Tulika A.
name: Aggarwal, Rimjhim
name: Umali-Deininger, Dina
name: Narayan, Tulika A.
Publisher: name: Unknown
Year: 2001
Subjects: Agricultural Finance
Resource /Energy Economics and Policy

description: The supply of electricity to the agricultural sector (largely for pumping groundwater) is heavily subsidized in India. Using data from a household survey in the state of Haryana, a profit function estimated to analyze the impact of increase in tariffs accompanied by improvement in conditions of supply on farm incomes.
Lambda Learner: Fast Incremental Learning on Data Streams
Creators: name: Ramanath, Rohan
name: Salomatin, Konstantin
name: Gee, Jeffrey D.
name: Talanine, Kirill
name: Dalal, Onkar
name: Polatkan, Gungor
name: Smoot, Sara
name: Kumar, Deepak
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: One of the most well-established applications of machine learning is in deciding what content to show website visitors. When observation data comes from high-velocity, user-generated data streams, machine learning methods perform a balancing act between model complexity, training time, and computational costs. Furthermore, when model freshness is critical, the training of models becomes time-constrained. Parallelized batch offline training, although horizontally scalable, is often not time-considerate or cost-effective. In this paper, we propose Lambda Learner, a new framework for training models by incremental updates in response to mini-batches from data streams. We show that the resulting model of our framework closely estimates a periodically updated model trained on offline data and outperforms it when model updates are time-sensitive. We provide theoretical proof that the incremental learning updates improve the loss-function over a stale batch model. We present a large-scale deployment on the sponsored content platform for a large social network, serving hundreds of millions of users across different channels (e.g., desktop, mobile). We address challenges and complexities from both algorithms and infrastructure perspectives, and illustrate the system details for computation, storage, and streaming production of training data.
Resultants and symmetric products
Creators: name: Maakestad, Helge Øystein
Publisher: name: arXiv
Year: 2005
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14A15

description: We use the symmetric product to describe the resultant scheme and discriminant scheme of polynomials two variables.
description: Revised version. 9 pages, references added
6_SpeakerInfoForm.pdf
Creators: name: organisers, ITAKOM
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 350502
subject: Employment equity and diversity
classificationCode: 390407
subject: Inclusive education
classificationCode: 330405
subject: Public participation and community engagement
classificationCode: 420305
subject: Health and community services

description: This document is part of a Figshare collection related to planning the It Takes All Kinds of Minds (ITAKOM) neurodiversity conference, which took place in March 2023. Versions of these documents have been released as examples that may be useful to others.
Coenen, Lothar, Beyreuther, Erich, Bietenhard, Hans: Theologisches Begriffslexikon zum neuen Testament
Creators: name: Schulz, Otmar
Publisher: name: Ökumenische Rundschau
Year: 2025

description: Ökumenische Rundschau, Bd. 18 Nr. 4 (1969): Ökumenische Rundschau, Band 18, Heft 4
The Effects of Choosing Free Trade on Endogenous Environmental Regulation and Welfare: A Model of Common Agency Government
Creators: name: Gulati, Sumeet
name: Gulati, Sumeet
Publisher: name: Unknown
Year: 2001
Subjects: Environmental Economics and Policy

description: Several studies hypothesize exogeneous environmental regulation as the primary motive for trade between two regions, often predicting a lower welfare for the region with incomplete environmental protection. Such analyses do not allow the region to adjust its environmental policy in response to a shift in the trade regime. Further, they do not allow the region to refuse free trade in the face of a welfare loss. As an alternative I propose a common agency model of government to endogenize environmental policy and the choice of trade regime. Conditions for the incomplete internalization of an environmental externality are specified, and the pollution tax in autarky is compared to that under free trade. The paper finds that moving to free trade induces a tightening of pollution policy reducing the deadweight loss from incomplete environmental regulation. This improvement occurs regardless of any price changes that accompany free trade. In contrast to the predictions from earlier articles, the adoption of free trade increases aggregate welfare. This gain occurs even when the country with incomplete environmental protection exports the pollution intensive good.
Geometric phase for Dirac Hamiltonian under gravitational fields in the non-relativistic regime
Creators: name: Ghosh, Tanuman
name: Mukhopadhyay, Banibrata
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 show the appearance of geometric phase in a Dirac particle traversing in non-relativistic limit in a time-independent gravitational field. This turns out to be similar to the one originally described as a geometric phase in magnetic fields. We explore the geometric phase in the Kerr and Schwarzschild geometries, which have significant astrophysical implications. Nevertheless, the work can be extended to any spacetime background including that of time-dependent. In the Kerr background, i.e. around a rotating black hole, geometric phase reveals both the Aharonov-Bohm effect and Pancharatnam-Berry phase. However, in a Schwarzschild geometry, i.e. around a nonrotating black hole, only the latter emerges. We expect that our assertions can be validated in both the strong gravity scenarios, like the spacetime around black holes, and weak gravity environment around Earth.
description: 15 pages including 1 figure, slightly modified title; version to appear in IJMPD
The Angular Distribution of B0-> K*0(->K-pi+)l+l- at Large Recoil in and Beyond the SM
Creators: name: Matias, Joaquim
Publisher: name: arXiv
Year: 2005
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We discuss, in detail, the K* polarization states in the exclusive B meson decay B0-> K*0(-> K-pi+)l^+l^- (l=e, μ, τ) in the low dilepton mass region. We focus on the study of the angular distribution of this decay that provides valuable information on the K* spin amplitudes A_perp, A_par, A0. This can give us a handle on non-standard interactions that cannot be proved through measurements of the branching ratio and lepton forward-backward asymmetry. We explore the transverse asymmetries A_T^1(s), A_T^2(s), K* polarization parameter α_{K*}(s), the fraction of K* polarization F_L(s) and F_T(s) and the corresponding integrated observables at NLL order, including factorizable and non-factorizable corrections. We find, in particular, that the dependence on hadronic uncertainties for the transverse asymmetries turns out to be very small. This allow us to distinguish which observables are better suited to look for physics beyond the SM. Finally, we study in a model independent way the implications of New Physics for these observables.
description: 4 pages, 4 figures
Pion condensation in quark matter with finite baryon density
Creators: name: Ebert, D.
name: Klimenko, K. G.
Publisher: name: arXiv
Year: 2005
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The phase structure of the Nambu -- Jona-Lasinio model at zero temperature and in the presence of baryon- and isospin chemical potentials is investigated. It is shown that in the chiral limit and for a wide range of model parameters there exist two different phases with pion condensation. In the first, ordinary phase, quarks are gapped particles. In the second, gapless pion condensation phase, there is no energy cost for creating only $u$- or both $u$ and $d$ quarks, and the density of baryons is nonzero.
description: 7 pages, 6 figures; two references added
INTRA-INDUSTRY TRADE IN AGRI-FOOD PRODUCTS BETWEEN HUNGARY AND THE EU
Creators: name: Ferto, Imre
name: Hubbard, Lionel J.
name: Ferto, Imre
name: Hubbard, Lionel J.
Publisher: name: Unknown
Year: 2001
Subjects: Industrial Organization
International Relations/Trade

description: We present an analysis of the intra-industry nature of agri-food trade between Hungary and the European Union, following the Association Agreement signed in 1991. A slight growth in intra-industry trade is indicated by the Grubel-Lloyd index. However, it is not uniform by product group or EU member state or over time, reflecting different patterns of bilateral integration and an economic restructuring process that is far from complete. Marginal intra-industry trade appears to be low, but assumes greater significance when the index is broadened to include vertical as well as horizontal trade. Thus, growth in agri-food trade between Hungary and the EU over the period 1992-98 is shown to be dominated by vertical intra-industry trade and inter-industry trade. Adjustment costs due to partial trade liberalisation are likely therefore to have been relatively high.
Detecting Composite Dark Matter with Long Range and Contact Interactions in Gas Clouds
Creators: name: Bhoonah, Amit
name: Bramante, Joseph
name: Schon, Sarah
name: Song, Ningqiang
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Cold interstellar gas clouds provide an exciting new method to discover dark matter. Their immense size makes them uniquely sensitive to interactions from the heaviest, most rarefied dark matter models. Using gas cloud observations, we derive constraints on heavy composite dark matter coupled to the Standard Model through a light dark photon for dark matter up to a thousand solar masses. We find gas clouds are also sensitive to very large composite dark matter that interacts with nuclei through a fixed contact interaction cross section. We also study the contact interaction model and implement multiscatter and overburden analyses to obtain bounds from experiments like CDMS, CRESST, DAMA, XQC, and XENON1T.
description: 18 pages, 2 figures, matched published version
Chemical properties and sensory attributes of poultry meats from birds fed diets containing ginseng prong
Creators: name: Lai, Melody Man Ching
Publisher: name: University of British Columbia
Year: 2009

description: The effects of dietary fat source and ginseng supplement level on the formation of primary (lipid peroxides) and secondary lipid oxidation products (malondialdehydes, MDA), as well as the fatty acid profile of chicken meats stored at 4°C for 11 days and at -18°C for 6 months were determined. After storage at -35°C for 9 months, chicken meats were cooked for qualitative descriptive analysis to determine the effect of dietary fat source and ginseng incorporation level on the organoleptic characteristics. In Experiment 1, the levels of lipid peroxides and MDA in meats were determined using ferrous oxidation in xylenol orange (FOX) and 2-thiobarbituric acid (TBA) assays, respectively. Generally, they increased within the first 4 to 9 days of refrigerated storage and the first 3 to 4 months of frozen storage. There was also a corresponding loss of total polyunsaturated fatty acids (PUFA), based on the fatty acid profile resolved using gas chromatography, during storage at both temperatures, while incorporation of ginseng preserved total PUFA in frozen breast meats. Feeding ginseng incorporated diets significantly inhibited (p<0.05) the formation of MDA in stored meats, compared to the controls. However, refrigerated and frozen meats derived from broilers fed the ginseng-incorporated diets had significantly (p<0.05) higher lipid peroxide concentrations than the control. Ginseng feeding was thus postulated to prevent lipid peroxide conversion to MDA. In broilers fed the vegetable oil-based diet, the relatively high PUFA content predisposed meat samples, especially in leg muscle, to promote the formation of lipid oxidation products after extended refrigerated and frozen storage. In Experiment 2, ginseng feeding to broilers preserved the flavor of meats, compared to the control. The meats originating from the vegetable oil-based diet, compared to those from the animal fat-based diet, retained less chicken and meaty aromas and possessed firmer texture significantly (p<0.05). In conclusion, ginseng feeding showed significant effects (p<0.05) in preserving total PUPA in frozen meats, inhibiting the formation of MDA in refrigerated and frozen meats, and retaining flavor attributes of cooked meats. However, feeding vegetable oil-based diets produced meats of significantly (p<0.05) firmer texture not seen in counterparts of broilers fed the animal fat-based diets.
The Impacts of Labeling on the Production and Trade of Vertically Differentiated Goods with Process Attributes
Creators: name: Roe, Brian E.
name: Sheldon, Ian M.
name: Roe, Brian E.
name: Sheldon, Ian M.
Publisher: name: Unknown
Year: 2001
Subjects: subject: Marketing
subject: FOS: Economics and business

description: A model of vertical quality differentiation is used to analyze the introduction of continuous and binary labeling in a market for credence goods with process attributes under autarky and free trade. The results indicate that continuous labeling increases welfare under autarky and free trade so long as labeling is not too expensive. With binary labeling, consumer welfare is increased if the standard is set above the level that would be chosen under continuous labeling under autarky. In the case of free trade, the effects depend on whether binary labeling is harmonized or whether there is mutual recognition of different standards.
Dependence of nuclear magnetic moments on quark masses and limits on temporal variation of fundamental constants from atomic clock experiments
Creators: name: Flambaum, V. V.
name: Tedesco, A. F.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Nuclear Theory (nucl-th)
subject: Astrophysics (astro-ph)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: We calculate the dependence of the nuclear magnetic moments on the quark masses including the spin-spin interaction effects and obtain limits on the variation of the fine structure constant $α$ and $(m_q/Λ_{QCD})$ using recent atomic clock experiments examining hyperfine transitions in H, Rb, Cs, Yb$^+$ and Hg$^+$ and the optical transition in H, Hg$^+$ and Yb$^+$ .
OPTIMAL CONTROL OF PEST RESISTANCE TO TRANSGENIC CROP VARIETIES
Creators: name: Grimsrud, Kristine M.
name: Huffaker, Ray G.
name: Grimsrud, Kristine M.
name: Huffaker, Ray G.
Publisher: name: Unknown
Year: 2001
Subjects: Crop Production/Industries

description: Transgenic corn varieties entered the market in 1996. These plant varieties carry a gene from the soil bacterium Bacillus thuringiensis kurstaki, Bt, that makes the plant produce a toxin deadly to the pest insect European Corn Borer (ECB) Ostrinia nubilalis (Hübner). Since ECB may build up genetic resistance to this toxin, the growers of transgenic corn varieties are required to plant a portion of their field (refuge) with regular corn. This requirement is expected to prolong the efficiency of Bt corn in combating the ECB because some non-resistant pests can survive in the refuge, and thereby dilute the build-up of resistance in the overall pest population. A fixed refuge size of 20 percent is the currently recommended "rule-of-thumb" by the Environmental Protection Agency (EPA). Past work has searched for an economically-optimal refuge size utilizing discrete-time simulation approaches in which refuge size is treated as an exogenous parameter whose optimal value is found through numerical iteration. The objective of this work is to fine-tune parametric refuge specifications by formulating a bioeconomic model capable of endogenously determining the optimal trajectory of refuge sizes over time via an analytical optimal-control rule. The model will provide novel comparative statics/dynamics results demonstrating the sensitivity of the optimal trajectory to important economic and biological parameters.
One-loop renormalisation of general N=1/2 supersymmetric gauge theory
Creators: name: Jack, I.
name: Jones, D. R. T.
name: Worthy, L. A.
Publisher: name: arXiv
Year: 2005
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We investigate the one-loop renormalisability of a general N=1/2 supersymmetric gauge theory coupled to chiral matter, and show the existence of an N=1/2 supersymmetric SU(N)xU(1) theory which is renormalisable at one loop.
description: 30 pages, including 8 figures. Plain TeX. Uses Harvmac and epsf
Fluctuation of magnetic induction in von Kármán swirling flows
Creators: name: Volk, Romain
name: Odier, Philippe
name: Pinton, Jean-Francois
Publisher: name: arXiv
Year: 2005
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: Studies of magnetic induction in von Kármán swirling flows have so far linked the time-averaged induced magnetic field to the structure of the mean flow. They have evidenced the Omega and Parker mechanism generated respectively by the flow differential rotation and helicity, which underly the Duddley and James \cite{DuddleyJames} dynamos. Using an array of Hall probes we study here the dynamical regime. In the experimental flow, turbulence is fully developed and large fluctuations are observed in the magnetic induction processes. We find that the large scale turbulent fluctuations have different characteristics when induction results from the differential rotation or from the dynamics of the stagnation point in the mid plane of the von Kármán flow. Symmetry considerations indicate that the dynamical flow spends half of its time away from the time-averaged structure. The consequences of these observations for dynamo experiments are discussed.
description: 26 pages, 14 figures
AIDS VERSUS ROTTERDAM: A COX NONNESTED TEST WITH PARAMETRIC BOOTSTRAP
Creators: name: Dameus, Alix
name: Brorsen, B. Wade
name: Sukhdial, Kullapapruk Piewthongngam
name: Richter, Francisca G.-C.
name: Dameus, Alix
name: Brorsen, B. Wade
name: Sukhdial, Kullapapruk Piewthongngam
name: Richter, Francisca G.-C.
Publisher: name: Unknown
Year: 2001
Subjects: Demand and Price Analysis

description: A Cox nonnested test with parametric bootstrap is developed to select between the linearized version of the First Difference Almost Ideal Demand System (FDAIDS) and the Rotterdam model. The Cox test with parametric bootstrap is expected to be more powerful than the various orthodox tests used in past research. The new approach is then used for U. S. meat demand (beef, pork, and chicken) and compared to results obtained with an orthodox test. The orthodox test gives inconsistent results. In contrast, under the same varied conditions, the Cox test with parametric bootstrap consistently indicates that the Rotterdam model is preferred to the FDAIDS.
AN APPROPRIATE WELFARE MEASURE OF WILDLIFE DAMAGE
Creators: name: Heigh, Lori
name: Rollins, Kimberly S.
name: Kanetkar, Vinay
name: Heigh, Lori
name: Rollins, Kimberly S.
name: Kanetkar, Vinay
Publisher: name: Unknown
Year: 2001
Subjects: Resource /Energy Economics and Policy

description: This paper derives the welfare loss to landowners from wildlife damages, which is not the same as the value of yield loss. The paper then estimates the welfare loss to Ontario landowners using willingness to tolerate losses as an indication of on-farm wildlife benefits. Results for Ontario fieldcrop producers in 1998 suggest that the welfare loss is 50% of the value of the yield loss. Willingness to tolerate losses varies by several variables including wildlife species and crop type.
Synthetic forwards and cost of funding in the equity derivative market
Creators: name: Azzone, Michele
name: Baviera, Roberto
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mathematical Finance (q-fin.MF)
subject: FOS: Economics and business

description: This study introduces a new technique to recover the implicit discount factor in the derivative market using only European put and call prices: this discount is grounded in actual transactions in active markets. Moreover, this study identifies the implied cost of funding, over OIS, of major market players. Does a liquid equity market allow arbitrage? The key idea is that the (unique) forward contract -- built using the put-call parity relation -- contains information about the market discount factor: by no-arbitrage conditions we identify the implicit interest rate such that the forward contract value does not depend on the strike. The procedure is applied to options on S&P 500 and EURO STOXX 50 indices. There is statistical evidence that, in the EURO STOXX 50 market, the implicit interest rate curve coincides with the EUR OIS one, while, in the S&P 500 market, a cost of funding of, on average, 34 basis points is added on top of the USD OIS curve.
Manipulating vortex motion by thermal and Lorentz force in high temperature superconductors
Creators: name: Wang, Z.
name: Shan, L.
name: Zhang, Y. Z.
name: Yan, J.
name: Zhou, F.
name: Xiong, J. W.
name: Ti, W. X.
name: Wen, H. H.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: By using thermal and Lorentz force, the vortex motion is successfully manipulated in the mixed state of underdoped La$_{2 - x}$Sr$_{x}$CuO$_{4}$ single crystals and optimally doped YBa$_{2}$Cu$_{3}$O$_{7 - δ}$ thin films. A conclusion is drawn that the strong Nernst signal above $T_{c}$ is induced by vortex motion. In the normal state, in order to reduce the dissipative contribution from the quasiparticle scattering and enhance the signal due to the possible vortex motion, a new measurement configuration is proposed. It is found that the in-plane Nernst signal ($H$ $| | $ $c$) can be measurable up to a high temperature in the pseudogap region, while the Abrikosov flux flow dissipation can only be measured up to $T_{c}$. This may point to different vortices below and above $T_{c}$ if we attribute the strong Nernst signal in the pseudogap region to the vortex motion. Below $T_{c}$ the dissipation is induced by the motion of the Abrikosov vortices. Above $T_{c}$ the dissipation may be caused by the motion of the spontaneously generated unbinded vortex-antivortex pairs.
description: 6 pages, 8 figures; to be published in Physical Review B
NITI: Training Integer Neural Networks Using Integer-only Arithmetic
Creators: name: Wang, Maolin
name: Rasoulinezhad, Seyedramin
name: Leong, Philip H. W.
name: So, Hayden K. H.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: While integer arithmetic has been widely adopted for improved performance in deep quantized neural network inference, training remains a task primarily executed using floating point arithmetic. This is because both high dynamic range and numerical accuracy are central to the success of most modern training algorithms. However, due to its potential for computational, storage and energy advantages in hardware accelerators, neural network training methods that can be implemented with low precision integer-only arithmetic remains an active research challenge. In this paper, we present NITI, an efficient deep neural network training framework that stores all parameters and intermediate values as integers, and computes exclusively with integer arithmetic. A pseudo stochastic rounding scheme that eliminates the need for external random number generation is proposed to facilitate conversion from wider intermediate results to low precision storage. Furthermore, a cross-entropy loss backpropagation scheme computed with integer-only arithmetic is proposed. A proof-of-concept open-source software implementation of NITI that utilizes native 8-bit integer operations in modern GPUs to achieve end-to-end training is presented. When compared with an equivalent training setup implemented with floating point storage and arithmetic, NITI achieves negligible accuracy degradation on the MNIST and CIFAR10 datasets using 8-bit integer storage and computation. On ImageNet, 16-bit integers are needed for weight accumulation with an 8-bit datapath. This achieves training results comparable to all-floating-point implementations.
Phase separation in the trapped spinor gases with anisotropic spin-spin interaction
Creators: name: Hao, Yajiang
name: Zhang, Yunbo
name: Liang, J. Q.
name: Chen, Shu
Publisher: name: arXiv
Year: 2005
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We investigate the effect of the anisotropic spin-spin interaction on the ground state density distribution of the one dimensional spin-1 bosonic gases within a modified Gross-Pitaevskii theory both in the weakly interaction regime and in the Tonks-Girardeau (TG) regime. We find that for ferromagnetic spinor gas the phase separation occurs even for weak anisotropy of the spin-spin interaction, which becomes more and more obvious and the component of $m_F=0$ diminishes as the anisotropy increases. However, no phase separation is found for anti-ferromagnetic spinor gas in both regimes.
description: 5pages, 4 figures
Electroweak axion string and superconductivity
Creators: name: Abe, Yoshihiko
name: Hamada, Yu
name: Yoshioka, Koichi
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the axion strings with the electroweak gauge flux in the DFSZ axion model and show that these strings, called the electroweak axion strings, can exhibit superconductivity without fermionic zero modes. We construct three types of electroweak axion string solutions. Among them, the string with $W$-flux can be lightest in some parameter space, which leads to a stable superconducting cosmic string. We also show that a large electric current can flow along the string due to the Peccei-Quinn scale much higher than the electroweak scale. This large current induces a net attractive force between the axion strings with the same topological charge, which opens a novel possibility that the axion strings form Y-junctions in the early universe.
description: 35 pages, 8 figures; v3: published version
Chiral symmetry analysis and rigid rotational invariance for the lattice dynamics of single-wall carbon nanotubes
Creators: name: Jiang, Jin-Wu
name: Tang, Hui
name: Wang, Bing-Shen
name: Su, Zhao-Bin
Publisher: name: arXiv
Year: 2006
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: In this paper, we provide a detailed expression of the vibrational potential for the lattice dynamics of the single-wall carbon nanotubes (SWCNT) satisfying the requirements of the exact rigid translational as well as rotational symmetries, which is a nontrivial generalization of the valence force model for the planar graphene sheet. With the model, the low frequency behavior of the dispersion of the acoustic modes as well as the flexure mode can be precisely calculated. Based upon a comprehensive chiral symmetry analysis, the calculated mode frequencies (including all the Raman and infrared active modes), velocities of acoustic modes and the polarization vectors are systematically fitted in terms of the chiral angle and radius, where the restrictions of various symmetry operations of the SWCNT are fulfilled.
Deep Learning with Quantized Neural Networks for Gravitational Wave Forecasting of Eccentric Compact Binary Coalescence
Creators: name: Wei, Wei
name: Huerta, E. A.
name: Yun, Mengshen
name: Loutrel, Nicholas
name: Shaikh, Md Arif
name: Kumar, Prayush
name: Haas, Roland
name: Kindratenko, Volodymyr
Publisher: name: arXiv
Year: 2020
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences
subject: I.2; I.5

description: We present the first application of deep learning forecasting for binary neutron stars, neutron star - black hole systems, and binary black hole mergers that span an eccentricity range e <= 0.9. We train neural networks that describe these astrophysical populations, and then test their performance by injecting simulated eccentric signals in advanced LIGO noise available at the \texttt{Gravitational Wave Open Science Center} to: 1) quantify how fast neural networks identify these signals before the binary components merge; 2) quantify how accurately neural networks estimate the time to merger once gravitational waves are identified; and 3) estimate the time-dependent sky localization of these events from early detection to merger. Our findings show that deep learning can identify eccentric signals from a few seconds (for binary black holes) up to tens of seconds (for binary neutron stars) prior to merger. A quantized version of our neural networks achieves 4x reduction in model size, and up to 2.5x inference speed up. These novel algorithms may be used to facilitate time-sensitive multi-messenger astrophysics observations of compact binaries in dense stellar environments.
description: 14 pages, 7 figures
title: Numa Marcius
title: Aux origines légendaires du pontificat
titleType: Subtitle
Creators: name: Van Elverdinghe, Emmanuel
Publisher: name: Universitätsbibliothek der Ludwig-Maximilians-Universität München
Year: 2012

description: L’article offre une analyse des sources, tant latines que grecques, évoquant le méconnu Numa Marcius, dont Tite-Live écrit qu’il fut le premier pontife. Au terme de la confrontation et de l’interprétation de ces textes, un éclairage est jeté sur le statut de ce personnage comme produit de la tradition historiographique romaine au sujet de la période royale.
Geometry of proteins: hydrogen bonding, sterics and marginally compact tubes
Creators: name: Banavar, Jayanth R.
name: Cieplak, Marek
name: Flammini, Alessandro
name: Hoang, Trinh X.
name: Kamien, Randall D.
name: Lezon, Timothy
name: Marenduzzo, Davide
name: Maritan, Amos
name: Seno, Flavio
name: Snir, Yehuda
name: Trovato, Antonio
Publisher: name: arXiv
Year: 2005
Subjects: subject: Biomolecules (q-bio.BM)
subject: FOS: Biological sciences

description: The functionality of proteins is related to their structure in the native state. Protein structures are made up of emergent building blocks of helices and almost planar sheets. A simple coarse-grained geometrical model of a flexible tube barely subject to compaction provides a unified framework for understanding the common character of globular proteins.We argue that a recent critique of the tube idea is not well founded.
description: 12 pages, no figures, revised version accepted for publication in Phisycal Review E
Riparian harvesting and resource limitation in small B.C. interior streams
Creators: name: Melody, Katherine Jill
Publisher: name: University of British Columbia
Year: 2009

description: Leaf litter inputs and shading of small streams are altered by forest harvesting. Many of the effects of riparian modification are known for streams in coastal British Columbia, but little is known of how streams in the drier, continental areas of BC respond to logging. The main objectives of this study were to determine how the harvest of the riparian forest affects stream food resources (leaf litter and algae) and macroinvertebrate composition in small, continental streams of BC. I conducted a paired stream-reach study of one harvested and two upstream reaches in each of five streams and measured periphyton, detritus, macroinvertebrate abundance and biomass and many physical measures in both July and October of 1997. In general, harvested stream sections tended to be wider and contained more riffle areas than the upstream forested sections. Leaf litter and algae were higher in some streams and lower in other streams in the harvested stream sections but significantly greater quantities of the food resources were found in the fall season in all streams. Greater macroinvertebrate density and biomass were found in the fall and the shredder and gatherer functional feeding groups were largely responsible for this season increase. The magnitude and direction of differences seen between sites, streams or seasons were stream dependent. To test the hypothesis that changes in light and litter inputs would affect the benthic community in these small streams, as occurred following riparian forest harvesting, I studied the impacts on periphyton and macroinvertebrate abundance and biomass in artificial stream channels. In this experiment I used a 2x2 factorial design with light (shaded or full light) and leaf litter inputs (forested input rate or one quarter that rate to represent the harvested input rate) as factors. A qualitative difference was found in the periphyton, as longer algal filaments occurred in the high light treatments, but there were no quantitative algal responses in chlorophyll a or ash-free dry mass, suggesting that light is not limiting in this system. The leaf litter treatments resulted in higher densities of two macroinvertebrate shredders, Limnephilus sp. and Podmosta sp., in the high leaf litter treatments. This suggests that these shredders may be food limited. This experiment provides evidence that changes to shading and leaf inputs to small streams affect the benthos and may limit secondary production.
Search for Higgs boson production in association with a high-energy photon via vector-boson fusion with decay into bottom quark pairs at $\sqrt{s}$=13 TeV with the ATLAS detector
Creators: name: ATLAS Collaboration
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: A search is presented for the production of the Standard Model Higgs boson in association with a high-energy photon. With a focus on the vector-boson fusion process and the dominant Higgs boson decay into $b$-quark pairs, the search benefits from a large reduction of multijet background compared to more inclusive searches. Results are reported from the analysis of 132 fb$^{-1}$ of $pp$ collision data at $\sqrt{s}$=13 TeV collected with the ATLAS detector at the LHC. The measured Higgs boson signal yield in this final-state signature is $1.3 \pm 1.0$ times the Standard Model prediction. The observed significance of the Higgs boson signal above the background is 1.3 standard deviations, compared to an expected significance of 1.0 standard deviations.
description: 41 pages in total, author list starting page 25, 6 figures, 3 tables, final version published in JHEP. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/HIGG-2020-14/
Efficient and Continuous Microwave Photodetection in Hybrid Cavity-Semiconductor Nanowire Double Quantum Dot Diodes
Creators: name: Khan, Waqar
name: Potts, Patrick P.
name: Lehmann, Sebastian
name: Thelander, Claes
name: Dick, Kimberly A.
name: Samuelsson, Peter
name: Maisi, Ville F.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Single photon detectors are key for time-correlated photon counting applications [1] and enable a host of emerging optical quantum information technologies [2]. So far, the leading approach for continuous and efficient single-photon detection in the optical domain has been based on semiconductor photodiodes [3]. However, there is a paucity of efficient and continuous single-photon detectors in the microwave regime, because photon energies are four to five orders of magnitude lower therein and conventional photodiodes do not have that sensitivity. Here we tackle this gap and demonstrate how itinerant microwave photons can be efficiently and continuously converted to electrical current in a high-quality, semiconducting nanowire double quantum dot that is resonantly coupled to a cavity. In particular, in our detection scheme, an absorbed photon gives rise to a single electron tunneling event through the double dot, with a conversion efficiency reaching 6 %. Our results pave the way for photodiodes with single-shot microwave photon detection, at the theoretically predicted unit efficiency [4].
description: Updated to the published version, fixed references of the supplemental material