cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
S-wave/spin-triplet order in superconductors without inversion symmetry: Li$_2$Pd$_3$B and Li$_2$Pt$_3$B
Creators: name: Yuan, H. Q.
name: Agterberg, D. F.
name: Hayashi, N.
name: Badica, P.
name: Vandervelde, D.
name: Togano, K.
name: Sigrist, M.
name: Salamon, M. B.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We investigate the order parameter of noncentrosymmetric superconductors Li$_2$Pd$_3$B and Li$_2$Pt$_3$B via the behavior of the penetration depth $λ(T)$. The low-temperature penetration depth shows BCS-like behavior in Li$_2$Pd$_3$B, while in Li$_2$Pt$_3$B it follows a linear temperature dependence. We propose that broken inversion symmetry and the accompanying antisymmetric spin-orbit coupling, which admix spin-singlet and spin-triplet pairing, are responsible for this behavior. The triplet contribution is weak in Li$_2$Pd$_3$B, leading to a wholly open but anisotropic gap. The significantly larger spin-orbit coupling in Li$_2$Pt$_3$B allows the spin-triplet component to be larger in Li$_2$Pt$_3$B, producing line nodes in the energy gap as evidenced by the linear temperature dependence of $λ(T)$. The experimental data are in quantitative agreement with theory.
description: Phys. Rev. Lett. (in press). More details are included
Innovation and Food System Sustainability: Public Concerns vs Private Interests
Creators: name: Sodano, Valeria
name: Sodano, Valeria
Publisher: name: Unknown
Year: 2008
Subjects: subject: Agribusiness
subject: Agricultural and Food Policy
subject: Farm Management
subject: Food Consumption/Nutrition/Food Safety
subject: Industrial Organization
subject: innovation
subject: sustainability
subject: local food systems
subject: fresh produce
subject: participatory democracy

description: The food system negatively affects the environment, human health and the total well being of the society in many ways, causing: soil and water depletion, pollution due to the waste treatments, acid rains, desertification, climate change, ozone depletion and biodiversity loss. The paper endeavors to compare the needs of a sustainable food system with strategies actually carried out at private and public level. It is shown that while the process of trade liberalization is pushing towards market deregulation and decreasing state intervention, corporate social responsibility is very low and unable to tackle the huge environmental problems faced by the food system. The main conclusion of the paper is that the current competitive games played by leading firms are not in any way able to promote the sustainability of the new global food system and that more state intervention is requested in order to reach the goal.
Supersymmetric Black Holes and the SJT/nSCFT$_1\!$ Correspondence
Creators: name: Forste, Stefan
name: Gerhardus, Andreas
name: Kames-King, Joshua
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We consider 1/4 BPS black hole solutions of ${\cal N}=2$ gauged supergravity in $AdS_4$. The near horizon geometry is $AdS_2 \times S^2$ and supersymmetry is enhanced. In the first part of the paper we choose a moment map, which allows the embedding of this supergravity solution into a sugra theory with a hypermultiplet. We then perform the s-wave reduction of this theory at the horizon and determine the dilaton multiplet, which couples to both metric and gravitino fluctuations. In the second part we work with Euclidean axial $\mathcal{N}=(2,2)$ JT supergravity and show how to add gauged matter in form of covariantly twisted chiral and anti-chiral multiplets. We demonstrate how to reduce the on-shell action to boundary superspace. We compare both theories and calculate the fourpoint function by integrating out gravitons, gravitini and photons for the s-wave setting and by use of the Super-Schwarzian modes in the JT theory.
description: 45 pages, v2: references and comments added, minor corrections, version accepted for publication
Worm-like Polymer Loops and Fourier Knots
Creators: name: Rappaport, S.
name: Rabin, Y.
name: Grosberg, A. Yu.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: Every smooth closed curve can be represented by a suitable Fourier sum. We show that the ensemble of curves generated by randomly chosen Fourier coefficients with amplitudes inversely proportional to spatial frequency (with a smooth exponential cutoff), can be accurately mapped on the physical ensemble of worm-like polymer loops. We find that measures of correlation on the scale of the entire loop yield a larger persistence length than that calculated from the tangent-tangent correlation function at small length scales. The conjecture that physical loops exhibit additional rigidity on scales comparable to the entire loop due to the contribution of twist rigidity, can be tested experimentally by determining the persistence length from the local curvature and comparing it with that obtained by measuring the radius of gyration of dsDNA plasmids. The topological properties of the ensemble randomly generated worm-like loops are shown to be similar to that of other polymer models.
description: 4 pages, 3 figures; paper had been substantially re-written, new results added
Exploring the impact of under-reported cases on the COVID-19 spatiotemporal distribution using healthcare worker infection data
Creators: name: Wang, Peixiao
name: Hu, Tao
name: Liu, Hongqiang
name: Zhu, Xinyan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: FOS: Biological sciences

description: A timely understanding of the spatiotemporal pattern and development trend of COVID-19 is critical for timely prevention and control. However, the under-reporting of cases is widespread in fields associated with public health. It is also possible to draw biased inferences and formulate inappropriate prevention and control policies if the phenomenon of under-reporting is not taken into account. Therefore, in this paper, a novel framework was proposed to explore the impact of under-reporting on COVID-19 spatiotemporal distributions, and empirical analysis was carried out using infection data of healthcare workers in Wuhan and Hubei (excluding Wuhan). The results show that (1) the lognormal distribution was the most suitable to describe the evolution of epidemic with time; (2) the estimated peak infection time of the reported cases lagged the peak infection time of the healthcare worker cases, and the estimated infection time interval of the reported cases was smaller than that of the healthcare worker cases. (3) The impact of under-reporting cases on the early stages of the pandemic was greater than that on its later stages, and the impact on the early onset area was greater than that on the late onset area. (4) Although the number of reported cases was lower than the actual number of cases, a high spatial correlation existed between the cumulatively reported cases and healthcare worker cases. The proposed framework of this study is highly extensible, and relevant researchers can use data sources from other counties to carry out similar research.
Proactive Customers Integration as Drivers of an Integrated Food Chain
Creators: name: Sundmaeker, Harald
name: Sundmaeker, Harald
Publisher: name: Unknown
Year: 2008
Subjects: Agribusiness
Agricultural and Food Policy
Farm Management
Food Consumption/Nutrition/Food Safety
Industrial Organization

description: Competitiveness of European Small and Medium sized Enterprises (SME) in the global marketplace is correlated to and determined by diverse factors. However, specifically SME’s ability to satisfy explicit and implicit customer requirements as well as to proactively integrate them as a driver of complex business networks is a key success factor. Although this seems to be the most obvious economic principle, it is hard to be achieved in complex networks of small actors, including vertical and horizontal supply chain dimensions, especially due to self-organisation of single network entities in relation to the continuous and dynamic adjustment of the overall network. Moreover, dynamically changing customer needs, evolving requirements (e.g. legislative demands, technology enablers) and process disturbances (e.g. delivery deviations, incompatibility of supplied semi-finished products) need to be handled.
High-harmonic generation in GaAs beyond the perturbative regime
Creators: name: Xia, Peiyu
name: Tamaya, Tomohiro
name: Kim, Changsu
name: Lu, Faming
name: Kanai, Teruto
name: Ishii, Nobuhisa
name: Itatani, Jiro
name: Akiyama, Hidefumi
name: Kato, Takeo
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We experimentally study the field-intensity dependence of high-harmonic generation in bulk gallium arsenide in reflection geometry. We find the oscillatory behavior at high fields where a perturbative scaling law no longer holds. By constructing a theoretical framework based on the Luttinger-Kohn model, we succeed in reproducing the observed oscillatory behavior. The qualitative agreement between the experiment and theory indicates that field-induced dynamic band modification is crucial in the nonperturbative regime. We consider the origin of the oscillatory behavior in terms of dynamical localization based on the Floquet subband picture.
description: 16 pages, 9 figures
Can politicians calm public fears of food-borne risks or do they adopt excessively stringent preventive measures?: A political economy approach
Creators: name: Arahata, Katsumi
name: Arahata, Katsumi
Publisher: name: Unknown
Year: 2009
Subjects: subject: Agricultural and Food Policy
subject: Food Consumption/Nutrition/Food Safety
subject: Political Economy
subject: Public Economics
subject: food safety
subject: political economy
subject: the prospect theory
subject: the median voter theorem

description: The purpose of this paper is to examine politically sensitive food safety problems from the viewpoint of political economy. The model was built in order to clarify the behaviors of consumers and politicians, employing the prospect theory and the median voter theorem. Major findings and policy implications in this study are as follows: Firstly, as an outcome of the theoretical analysis, it is suggested that politicians may magnify consumers’ excessive response to food scares. Secondly, several countervailing factors that can mitigate such consumers’ excessive responses may exist. Nevertheless, in Japan, they may be weak or may have become weak and do not mitigate such excessive responses. Finally, it is recommended that politicians’ staff or advisers with scientific expertise should be reinforced. Furthermore, staff or advisers in consumer interest groups should also be reinforced in order to guide consumers with emotional food-borne risk scares in excess toward rational responses.
Scale Separation Scheme for Simulating Superfluid Turbulence: Kelvin-Wave Cascade
Creators: name: Kozik, Evgeny
name: Svistunov, Boris
Publisher: name: arXiv
Year: 2004
Subjects: subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: A Kolmogorov-type cascade of Kelvin waves--the distortion waves on vortex lines--plays a key part in the relaxation of superfluid turbulence at low temperatures. We propose an efficient numeric scheme for simulating the Kelvin wave cascade on a single vortex line. The idea is likely to be generalizable for a full-scale simulation of different regimes of superfluid turbulence. With the new scheme, we are able to unambiguously resolve the cascade spectrum exponent, and thus to settle the controversy between recent simulations [1] and recently developed analytic theory [2]. [1] W.F. Vinen, M. Tsubota and A. Mitani, Phys. Rev. Lett. 91, 135301 (2003). [2] E.V. Kozik and B.V. Svistunov, Phys. Rev. Lett. 92, 035301 (2004).
description: 4 pages, RevTex
The Effects of Resolution on Black Hole Accretion Simulations of Jets
Creators: name: White, Christopher J.
name: Chrystal, Fiona
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We perform three general-relativistic magnetohydrodynamic simulations of black hole accretion designed to test how sensitive results are to grid resolution in the jet region. The cases differ only in numerics, modelling the same physical scenario of a radiatively inefficient, geometrically thick, magnetically arrested flow onto a rapidly spinning black hole. Properties inferred with the coarsest grid generally agree with those found with higher resolutions, including total jet power and its decomposition into different forms, velocity structure, nonaxisymmetric structure, and the appearance of resolved millimetre images. Some measures of variability and magnetization are sensitive to resolution. We conclude that most results obtained by limiting resolution near the jet for computational expediency should still be reliable, at least insofar as they would not be improved with a finer grid.
description: Accepted by MNRAS
KOBE-1: The first planetary system from the KOBE survey. Two planets likely residing in the sub-Neptune mass regime around a late K-dwarf
Creators: name: Balsalobre-Ruza, O.
name: Lillo-Box, J.
name: Silva, A. M.
name: Grouffal, S.
name: Aceituno, J.
name: Castro-González, A.
name: Cifuentes, C.
name: Standing, M. R.
name: Faria, J. P.
name: Figueira, P.
name: Santerne, A.
name: Marfil, E.
name: Abreu, A.
name: Aguichine, A.
name: González-Ramírez, L.
name: Morales, J. C.
name: Santos, N.
name: Huélamo, N.
name: Mena, E. Delgado
name: Barrado, D.
name: Adibekyan, V.
name: Barros, S. C. C.
name: Berihuete, Á.
name: Morales-Calderón, M.
name: Nagel, E.
name: Solano, E.
name: Sousa, S. G.
name: Fernández, J. F. Agüí
name: Azzaro, M.
name: Bergond, G.
name: Cikota, S.
name: Fernández-Martín, A.
name: Flores, J.
name: Góngora, S.
name: Guijarro, A.
name: Hermelo, I.
name: Pinter, V.
name: Vico-Linares, J. I.
Publisher: name: arXiv
Year: 2025
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: K-dwarf stars are promising targets in the exploration of potentially habitable planets. Their properties, falling between G and M dwarfs, provide an optimal trade-off between the prospect of habitability and ease of detection. The KOBE experiment is a blind-search survey exploiting this niche, monitoring the radial velocity of 50 late-type K-dwarf stars. It employs the CARMENES spectrograph, with an observational strategy designed to detect planets in the habitable zone of their system. In this work, we exploit the KOBE data set to characterize planetary signals in the K7V star HIP 5957 (KOBE-1) and to constrain the planetary population within its habitable zone. We used 82 CARMENES spectra over a time span of three years. We employed a GLS periodogram to search for significant periodic signals that would be compatible with Keplerian motion on KOBE-1. We carried out a model comparison within a Bayesian framework to ensure the significance of the planetary model over alternative configurations of lower complexity. We also inspected two available TESS sectors in search of planetary signals. We identified two signals: at 8.5d and 29.7d. We confirmed their planetary nature through ruling out other non-planetary configurations. Their minimum masses are 8.80+/-0.76ME and 12.4+/-1.1ME, corresponding to absolute masses within the planetary regime at a high certainty (>99.7%). By analyzing the sensitivity of the CARMENES time series to additional signals, we discarded planets above 8.5ME within the habitable zone. We identified a single transit-like feature in TESS, whose origin is still uncertain, but still compatible within 1sigma with a transit from planet c. We have explored future prospects for characterizing this system, concluding that nulling interferometry with the LIFE mission could be capable of directly imaging both planets and characterizing their atmospheres in future studies.
description: 29 pages, 21 figures, 10 tables, published in Astronomy & Astrophysics
Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning
Creators: name: De, Subhayan
name: Hai, Bhuiyan Shameem Mahmood Ebna
name: Doostan, Alireza
name: Bause, Markus
Publisher: name: arXiv
Year: 2021
Subjects: subject: Signal Processing (eess.SP)
subject: Machine Learning (cs.LG)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Structural health monitoring (SHM) systems use the non-destructive testing principle for damage identification. As part of SHM, the propagation of ultrasonic guided waves (UGWs) is tracked and analyzed for the changes in the associated wave pattern. These changes help identify the location of a structural damage, if any. We advance existing research by accounting for uncertainty in the material and geometric properties of a structure. The physics model used in this study comprises of a monolithically coupled system of acoustic and elastic wave equations, known as the wave propagation in fluid-solid and their interface (WpFSI) problem. As the UGWs propagate in the solid, fluid, and their interface, the wave signal displacement measurements are contrasted against the benchmark pattern. For the numerical solution, we develop an efficient algorithm that successfully addresses the inherent complexity of solving the multiphysics problem under uncertainty. We present a procedure that uses Gaussian process regression and convolutional neural network for predicting the UGW propagation in a solid-fluid and their interface under uncertainty. First, a set of training images for different realizations of the uncertain parameters of the inclusion inside the structure is generated using a monolithically-coupled system of acoustic and elastic wave equations. Next, Gaussian processes trained with these images are used for predicting the propagated wave with convolutional neural networks for further enhancement to produce high-quality images of the wave patterns for new realizations of the uncertainty. The results indicate that the proposed approach provides an accurate prediction for the WpFSI problem in the presence of uncertainty.
description: 21 pages, 13 figures
Can Reinforcement Learning Solve Asymmetric Combinatorial-Continuous Zero-Sum Games?
Creators: name: Li, Yuheng
name: Wang, Panpan
name: Chen, Haipeng
Publisher: name: arXiv
Year: 2025
Subjects: subject: Computer Science and Game Theory (cs.GT)
subject: FOS: Computer and information sciences

description: There have been extensive studies on learning in zero-sum games, focusing on the analysis of the existence and algorithmic convergence of Nash equilibrium (NE). Existing studies mainly focus on symmetric games where the strategy spaces of the players are of the same type and size. For the few studies that do consider asymmetric games, they are mostly restricted to matrix games. In this paper, we define and study a new practical class of asymmetric games called two-player Asymmetric Combinatorial-Continuous zEro-Sum (ACCES) games, featuring a combinatorial action space for one player and an infinite compact space for the other. Such ACCES games have broad implications in the real world, particularly in combinatorial optimization problems (COPs) where one player optimizes a solution in a combinatorial space, and the opponent plays against it in an infinite (continuous) compact space (e.g., a nature player deciding epistemic parameters of the environmental model). Our first key contribution is to prove the existence of NE for two-player ACCES games, using the idea of essentially finite game approximation. Building on the theoretical insights and double oracle (DO)-based solutions to complex zero-sum games, our second contribution is to design the novel algorithm, Combinatorial Continuous DO (CCDO), to solve ACCES games, and prove the convergence of the proposed algorithm. Considering the NP-hardness of most COPs and recent advancements in reinforcement learning (RL)-based solutions to COPs, our third contribution is to propose a practical algorithm to solve NE in the real world, CCDORL (based on CCDO), and provide the novel convergence analysis in the ACCES game. Experimental results across diverse instances of COPs demonstrate the empirical effectiveness of our algorithms. The code of this work is available at https://github.com/wmd3i/CCDO-RL.
description: 29 pages, 2 figures, 10 tables
Efficiency and Welfare Impact of Landholdings in Vietnam - Evidence from Field Survey in Red River Delta and Mekong Delta
Creators: name: Goto, Jun
name: Izumida, Yoichi
name: Goto, Jun
name: Izumida, Yoichi
Publisher: name: Unknown
Year: 2009
Subjects: subject: Consumer/Household Economics
subject: Institutional and Behavioral Economics
subject: Land Economics/Use
subject: Production Economics
subject: Productivity Analysis
subject: efficiency
subject: welfare impact
subject: land allocation
subject: Vietnam

description: This paper examines the efficiency and welfare impact of landholdings in rural Vietnam. We utilize panel data set from field surveys which have been carried out from 1997 to 2007 in Red River Delta and Mekong Delta. We find no support for the hypothesis that small farmers in the north survey area have an advantage of efficiency in rice production. Since, although we confirm the inverse relationship between the land productivity and farm size, the average costs have increased rapidly as farm size have decreased. Some farmers, however, in the South have gradually cumulated in a middle-class of landholdings that has achieved the highest productivity, which implies efficient land allocation is realized. We also clarify the welfare impacts of these landholdings on sample households. In North, the declining farm size is driven by non-market transaction and inevitable. Then, small land endowments cause the diversification of income sources from agriculture to livestock and non-agriculture even if fermers realize high land productivity. In the South, estimation result shows positive relationship between total income and farm size while there is heterogeneity of welfare impact on households who sell their land.
NAAQA: A Neural Architecture for Acoustic Question Answering
Creators: name: Abdelnour, Jerome
name: Rouat, Jean
name: Salvi, Giampiero
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: Machine Learning (cs.LG)
subject: Sound (cs.SD)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: I.2.7; I.2.10; I.5.0

description: The goal of the Acoustic Question Answering (AQA) task is to answer a free-form text question about the content of an acoustic scene. It was inspired by the Visual Question Answering (VQA) task. In this paper, based on the previously introduced CLEAR dataset, we propose a new benchmark for AQA, namely CLEAR2, that emphasizes the specific challenges of acoustic inputs. These include handling of variable duration scenes, and scenes built with elementary sounds that differ between training and test set. We also introduce NAAQA, a neural architecture that leverages specific properties of acoustic inputs. The use of 1D convolutions in time and frequency to process 2D spectro-temporal representations of acoustic content shows promising results and enables reductions in model complexity. We show that time coordinate maps augment temporal localization capabilities which enhance performance of the network by ~17 percentage points. On the other hand, frequency coordinate maps have little influence on this task. NAAQA achieves 79.5% of accuracy on the AQA task with ~4 times fewer parameters than the previously explored VQA model. We evaluate the perfomance of NAAQA on an independent data set reconstructed from DAQA. We also test the addition of a MALiMo module in our model on both CLEAR2 and DAQA. We provide a detailed analysis of the results for the different question types. We release the code to produce CLEAR2 as well as NAAQA to foster research in this newly emerging machine learning task.
description: Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) in April 2021 (first revision February 2022)
Let's Face It: Probabilistic Multi-modal Interlocutor-aware Generation of Facial Gestures in Dyadic Settings
Creators: name: Jonell, Patrik
name: Kucherenko, Taras
name: Henter, Gustav Eje
name: Beskow, Jonas
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Human-Computer Interaction (cs.HC)
subject: Machine Learning (cs.LG)
subject: Sound (cs.SD)
subject: Audio and Speech Processing (eess.AS)
subject: Image and Video Processing (eess.IV)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: To enable more natural face-to-face interactions, conversational agents need to adapt their behavior to their interlocutors. One key aspect of this is generation of appropriate non-verbal behavior for the agent, for example facial gestures, here defined as facial expressions and head movements. Most existing gesture-generating systems do not utilize multi-modal cues from the interlocutor when synthesizing non-verbal behavior. Those that do, typically use deterministic methods that risk producing repetitive and non-vivid motions. In this paper, we introduce a probabilistic method to synthesize interlocutor-aware facial gestures - represented by highly expressive FLAME parameters - in dyadic conversations. Our contributions are: a) a method for feature extraction from multi-party video and speech recordings, resulting in a representation that allows for independent control and manipulation of expression and speech articulation in a 3D avatar; b) an extension to MoGlow, a recent motion-synthesis method based on normalizing flows, to also take multi-modal signals from the interlocutor as input and subsequently output interlocutor-aware facial gestures; and c) a subjective evaluation assessing the use and relative importance of the input modalities. The results show that the model successfully leverages the input from the interlocutor to generate more appropriate behavior. Videos, data, and code available at: https://jonepatr.github.io/lets_face_it.
description: Best Paper Award. 8 pages, 4 figures, IVA '20: Proceedings of the 20th ACM International Conference on Intelligent Virtual Agent
Evaluating the Impacts of Swapping on the US Decennial Census
Creators: name: Ballesteros, Maria
name: Dwork, Cynthia
name: King, Gary
name: Olson, Conlan
name: Raghavan, Manish
Publisher: name: arXiv
Year: 2025
Subjects: subject: Computers and Society (cs.CY)
subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: To meet its dual burdens of providing useful statistics and ensuring privacy of individual respondents, the US Census Bureau has for decades introduced some form of "noise" into published statistics. Initially, they used a method known as "swapping" (1990-2010). In 2020, they switched to an algorithm called TopDown that ensures a form of Differential Privacy. While the TopDown algorithm has been made public, no implementation of swapping has been released and many details of the deployed swapping methodology deployed have been kept secret. Further, the Bureau has not published (even a synthetic) "original" dataset and its swapped version. It is therefore difficult to evaluate the effects of swapping, and to compare these effects to those of other privacy technologies. To address these difficulties we describe and implement a parameterized swapping algorithm based on Census publications, court documents, and informal interviews with Census employees. With this implementation, we characterize the impacts of swapping on a range of statistical quantities of interest. We provide intuition for the types of shifts induced by swapping and compare against those introduced by TopDown. We find that even when swapping and TopDown introduce errors of similar magnitude, the direction in which statistics are biased need not be the same across the two techniques. More broadly, our implementation provides researchers with the tools to analyze and potentially correct for the impacts of disclosure avoidance systems on the quantities they study.
Graduate recitals
Creators: name: Esson, Dennis Ture
Publisher: name: University of British Columbia
Year: 2009

description: The thesis for the Master of Music degree in Orchestral Instrument Performance (Trombone) consists of two full-length recitals with emphasis on solo works, but also including representative chamber works. I performed the recitals on May 1, 2001 and December 10, 2002.
Scalar and vector modulation instabilities induced by vacuum fluctuations in fibers: numerical study
Creators: name: Brainis, E.
name: Amans, D.
name: Massar, S.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Quantum Physics (quant-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We study scalar and vector modulation instabilities induced by the vacuum fluctuations in birefringent optical fibers. To this end, stochastic coupled nonlinear Schrodinger equations are derived. The stochastic model is equivalent to the quantum field operators equations and allow for dispersion, nonlinearity, and arbitrary level of birefringence. Numerical integration of the stochastic equations is compared to analytical formulas in the case of scalar modulation instability and non depleted pump approximation. The effect of classical noise and its competition with vacuum fluctuations for inducing modulation instability is also addressed.
description: 33 pages, 5 figures
Determinants of Livestock Prices in Ethiopian Pastoral Livestock Markets: Implications for Pastoral Marketing Strategies
Creators: name: Belayneh, Hailemariam Teklewold
name: Feye, Getachew Legese
name: Alemu, Dawit
name: Negassa, Asfaw
name: Belayneh, Hailemariam Teklewold
name: Feye, Getachew Legese
name: Alemu, Dawit
name: Negassa, Asfaw
Publisher: name: Unknown
Year: 2009
Subjects: subject: Agricultural and Food Policy
subject: Demand and Price Analysis
subject: Livestock Production/Industries
subject: Livestock
subject: price formation
subject: hedonic model

description: The major objective of this paper is to identify determinants of market prices for cattle, sheep and goat in the export market value chain starting from pastoral markets to export abattoirs and live animal exporters. The study is based on the information generated through a formal survey conducted in the major pastoral livestock markets of Ethiopia with 128 collectors, small and big traders, feedlot operators, live animal and meat exporters. Hedonic price formation model was used to analyze the survey data. This study identified certain occasions such as Christian fasting, Muslim fasting, holidays and other times; time of a situation whether that specific month falls during ban time or not and season described as wet or dry season as important determinants of livestock price formation. Age group and body condition of the traded animals, buyer and seller types are also important observable attributes influencing formation of livestock prices.
Shape fluctuations are different in different directions
Creators: name: Zhang, Yu
Publisher: name: arXiv
Year: 2005
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 60K35

description: We consider the first passage percolation model on $\mathbf{Z}^2$. In this model, we assign independently to each edge $e$ a passage time $t(e)$ with a common distribution $F$. Let $T(u,v)$ be the passage time from $u$ to $v$. In this paper, we show that, whenever $F(0)0$ and $F(r)>\vec{p}_c$, it is known that there exists $M$ such that for all $n$, $σ^2(T((0,0),(n,n)))\leq M$. These results tell us that shape fluctuations not only depend on distribution $F$, but also on direction. When showing this result, we find the following interesting geometrical property. With the special distribution above, any long piece with $r$-edges in an optimal path from $(0,0)$ to $(n,0)$ has to be very circuitous.
description: Published in at http://dx.doi.org/10.1214/009117907000000213 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Yarn Ball Knots and Faster Computations
Creators: name: Bar-Natan, Dror
name: Bar-Natan, Itai
name: Halacheva, Iva
name: Scherich, Nancy
Publisher: name: arXiv
Year: 2021
Subjects: subject: Geometric Topology (math.GT)
subject: FOS: Mathematics
subject: 57K10

description: We make use of the 3D nature of knots and links to find savings in computational complexity when computing knot invariants such as the linking number and, in general, most finite type invariants. These savings are achieved in comparison with the 2D approach to knots using knot diagrams.
Will the EU Single Area Payment decrease farm efficiency in the New Member States?
Creators: name: Douarin, Elodie
name: Latruffe, Laure
name: Douarin, Elodie
name: Latruffe, Laure
Publisher: name: Unknown
Year: 2009
Subjects: subject: Agricultural and Food Policy
subject: Productivity Analysis
subject: Single Area Payment
subject: technical efficiency
subject: size
subject: subsidies
subject: Lithuania

description: This paper starts the debate regarding the likely impact of post-accession public support in the New Member States on their farming sector’s efficiency. While one aim of farm support in the European Union (EU) is to promote efficient farms that can compete internationally, a higher level of support via the Single Area Payment (SAP) may have adverse effects on farms’ performance. Analyses using pre-accession technical efficiency scores calculated with Data Envelopment Analysis (DEA) and post-accession farmer’s intentions, lead to the conclusion that the implementation of the SAP may decrease farm efficiency. The main reasons are the negative link between farm efficiency and subsidies already present in pre-EU accession Lithuania, and the change in incentives given to less efficient farms by the introduction of SAP.
Determinants for fallowing land: The case of Kosovo
Creators: name: Sauer, Johannes
name: Davidova, Sophia
name: Latruffe, Laure
name: Sauer, Johannes
name: Davidova, Sophia
name: Latruffe, Laure
Publisher: name: Unknown
Year: 2009
Subjects: subject: Land Economics/Use
subject: Production Economics
subject: fallow land decision
subject: Kosovo
subject: Tobit regression
subject: Fractional response regression
subject: Zero-inflated binomial regression

description: The key question of this paper is why farmers in Kosovo leave land fallow when the total land of their farms is rather small and households are rather large. In order to elicit some barriers to land utilisation in Kosovo, the paper is based on a comprehensive survey carried out in 2005 investigating agricultural households’ perceptions of production and market conditions, and employs several households and farm characteristics to empirically approximate the significance of different factors for leaving land fallow and not using it for production purposes. Three different econometric models are used expected to fit the data distribution. All estimated model specifications show a statistical significance at a satisfactory level and no severe signs of misspecification. The main determinants of the share of land left fallow by farmers in Kosovo are economic and institutional: low profitability of farming and difficulty to access inputs. The increase in incentives to farmers by improving market institutions up- and downstream is one measure which could alleviate the barriers to land use.
A Synthetic Network Generator for Covert Network Analytics
Creators: name: Elsisy, Amr
name: Mandviwalla, Aamir
name: Szymanski, Boleslaw
name: Sharkey, Thomas
Publisher: name: arXiv
Year: 2020
Subjects: subject: Social and Information Networks (cs.SI)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: We study social networks and focus on covert (also known as hidden) networks, such as terrorist or criminal networks. Their structures, memberships and activities are illegal. Thus, data about covert networks is often incomplete and partially incorrect, making interpreting structures and activities of such networks challenging. For legal reasons, real data about active covert networks is inaccessible to researchers. To address these challenges, we introduce here a network generator for synthetic networks that are statistically similar to a real network but void of personal information about its members. The generator uses statistical data about a real or imagined covert organization network. It generates randomized instances of the Stochastic Block model of the network groups but preserves this network organizational structure. The direct use of such anonymized networks is for training on them the research and analytical tools for finding structure and dynamics of covert networks. Since these synthetic networks differ in their sets of edges and communities, they can be used as a new source for network analytics. First, they provide alternative interpretations of the data about the original network. The distribution of probabilities for these alternative interpretations enables new network analytics. The analysts can find community structures which are frequent, therefore stable under perturbations. They may also analyze how the stability changes with the strength of perturbation. For covert networks, the analysts can quantify statistically expected outcomes of interdiction. This kind of analytics applies to all complex network in which the data are incomplete or partially incorrect.
SO(10) Symmetry Breaking and Type II Seesaw
Creators: name: Goh, H. S.
name: Mohapatra, R. N.
name: Nasri, S.
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: A minimal SO(10) model with {\bf 126} Higgs field breaking B-L symmetry has been shown recently to predict large solar and atmospheric mixings in agreement with observations if it is assumed that the neutrino mass follows from the triplet dominated type II seesaw formula. No additional symmetries need to be assumed for this purpose. We discuss the conditions on the way SO(10) symmetry breaks down to MSSM and the Higgs multiplets in the model, required for the triplet dominated type II seesaw formula to hold. We find that (i) SO(10) must break to a nonminimal SU(5) before breaking to the standard model; (ii) $B-L$ symmetry must break at the time of SO(10) breaking and (iii) constraints of unification seem to require that the minimal model must have a {\bf 54} dimensional Higgs field together with a {\bf 210} and {\bf 126} to break the GUT symmetry.
description: 19 pages, one figure
PCMPC: Perception-Constrained Model Predictive Control for Quadrotors with Suspended Loads using a Single Camera and IMU
Creators: name: Li, Guanrui
name: Tunchez, Alex
name: Loianno, Giuseppe
Publisher: name: arXiv
Year: 2021
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: In this paper, we address the Perception--Constrained Model Predictive Control (PCMPC) and state estimation problems for quadrotors with cable suspended payloads using a single camera and Inertial Measurement Unit (IMU). We design a receding--horizon control strategy for cable suspended payloads directly formulated on the system manifold configuration space SE(3)xS^2. The approach considers the system dynamics, actuator limits and the camera's Field Of View (FOV) constraint to guarantee the payload's visibility during motion. The monocular camera, IMU, and vehicle's motor speeds are combined to provide estimation of the vehicle's states in 3D space, the payload's states, the cable's direction and velocity. The proposed control and state estimation solution runs in real-time at 500 Hz on a small quadrotor equipped with a limited computational unit. The approach is validated through experimental results considering a cable suspended payload trajectory tracking problem at different speeds.
description: This paper has been published at the 2021 IEEE International Conference on Robotics and Automation. Please cite this paper with the standard IEEE Conference format. We will provide the detail of the DOI information later once the Proceedings has come out
On localization of pseudo-relativistic energy
Creators: name: Balinsky, Alexander A.
name: Tyukov, Alexey E.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Mathematical Physics (math-ph)
subject: Spectral Theory (math.SP)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 35R45,35J10

description: We present a Kato-type inequality for bounded domain Omega \subset R^n, n>1.
description: 17 pages
The Impact of credit constraints on the adoption of hybrid maize in Malawi
Creators: name: Simtowe, Franklin
name: Zeller, Manfred
name: Diagne, Aliou
name: Simtowe, Franklin
name: Zeller, Manfred
name: Diagne, Aliou
Publisher: name: Unknown
Year: 2009
Subjects: subject: Agribusiness
subject: Agricultural and Food Policy
subject: Agricultural Finance
subject: Consumer/Household Economics
subject: credit constraints
subject: hybrid maize
subject: adoption
subject: treatment- effect
subject: endogenous
subject: Malawi

description: The paper investigates the impact of credit constraints on the adoption of hybrid maize among rural households in Malawi using the treatment-effects model. Results reveal that after effectively correcting for endogeneity, credit constraints have a reducing effect on the size of land allocated to hybrid maize. Farmers with larger land holdings allocate more land to hybrid maize while older farmers allocate less land to hybrid maize. These findings suggest that there is scope for increasing the cultivation of hybrid maize in Malawi if credit is targeted at younger farmers that are credit-constrained.
Fetal alcohol syndrome is a feminist issue : a framework for services as articulated by and for women who have given birth to alcohol affected babies
Creators: name: Northey, Tracy Anne
Publisher: name: University of British Columbia
Year: 2009

description: Since the mid-1980's, the issue of alcohol use during pregnancy has garnered increased social work attention. Women who consume alcohol while pregnant are at risk for giving birth to babies with Fetal Alcohol Syndrome (FAS) and other alcohol related birth defects. Many of the recommendations regarding the prevention and treatment of alcohol use during pregnancy have been written by and for professionals. Absent from these recommendations are the perspectives of the women most closely effected by the issue. Furthermore, the efficacy of treatment and prevention are often measured in terms of fetal outcome without consideration for the woman's health and well being. In an attempt to rectify the eclipsing of women from what is said and done about pregnancy and alcohol use, in-depth interviews were conducted with eight women who have given birth to an alcohol affected baby. The mothers relay their experiences of pregnancy and birth, coping with addiction, and parenting an alcohol affected child. Throughout their trajectories the mothers make efforts to take responsibility for themselves and their children but are continually dismissed or duped by those who are in a position to help. Relationships also figure prominently as adversaries, advocates or enablers. Both pragmatics and philosophy play a role in the day to day ability of the mothers to both make ends meet and to make sense of their lives. Despite these barriers the mothers are able to exert agency and self-advocacy. The stories and recommendations that the mothers offer point to a framework for services that: is holistic and driven by the mothers themselves, provides effective interventions for children and adults who are alcohol affected, offers individualized addiction services, promotes education that is specifically geared towards professionals, and addresses the structural inequities that women face. From the perspectives of the women who have given birth to alcohol affected babies, FAS is a feminist issue.
Tunneling into the normal state of Pr(2-x)CexCuO4
Creators: name: Dagan, Y.
name: Qazilbash, M. M.
name: Greene, R. L.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The temperature dependence of the tunneling conductance was measured for various doping levels of Pr(2-x)CexCuO4 using planar junctions. A normal state gap is seen at all doping levels studied, x=0.11 to x=0.19. We find it to vanish above a certain temperature T*. T* is greater than Tc for the underdoped region and it follows Tc on the overdoped side. This behavior suggests finite pairing amplitude above Tc on the underdoped side.
Emerging supply chains of indigenous pork and their impacts on small-scale farmers in upland areas of Vietnam
Creators: name: Huong, Pham Thi Mai
name: Hau, Nguyen Van
name: Kaufmann, Brigitte
name: Valle-Zarate, Anne
name: Mergenthaler, Marcus
name: Huong, Pham Thi Mai
name: Hau, Nguyen Van
name: Kaufmann, Brigitte
name: Valle-Zarate, Anne
name: Mergenthaler, Marcus
Publisher: name: Unknown
Year: 2009
Subjects: subject: Agricultural and Food Policy
subject: International Development
subject: Production Economics
subject: high-value products
subject: supply chains
subject: indigeneous pigs
subject: agrogenetic diversity
subject: marketing margins
subject: highlands
subject: developing countries
subject: Vietnam

description: Rising incomes, urbanization and globalization have been leading to profound changes in the consumption habits of an increasing number of people in developing and transition countries, particularly in Asia. These changes are linked to increasing concerns that small-scale farmers are becoming marginalized in new market set-ups. On the back-ground of these developments we analyze how growing demand for indigenous pork – considered a specialty product among consumers in Vietnam – impacts through newly emerging supply chains on small-scale farmers in upland areas. We analyze supply chains and price transmission as well as compare the impact of marketing institutions on the economics of primary production. Results of market surveys show that carcasses of indigenous breeds are highly appreciated in the market with high retailer prices. Trading of local indigenous pigs is associated with higher net marketing margins. Farmers benefit economically from institutionalized marketing arrangements. Our results highlight the potential of high-value specialty products from uplands areas to be marketed profitably in urban lowland areas. In this way, improvements for the livelihoods of marginalized small-scale producers and the preservation of an endangered agro-genetic resource could be achieved.