cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A complete NLL BFKL calculation of Mueller Navelet jets at LHC
Creators: name: Colferai, D.
name: Schwennsen, F.
name: Szymanowski, L.
name: Wallon, S.
Publisher: name: arXiv
Year: 2010
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: For the first time, a next-to-leading BFKL study of the cross section and azimuthal decorrellation of Mueller Navelet jets is performed, i.e. including next-to-leading corrections to the Green's function as well as next-to-leading corrections to the Mueller Navelet vertices. The obtained results for standard observables proposed for studies of Mueller Navelet jets show that both sources of corrections are of equal and big importance for final magnitude and final behavior of observables, in particular for the LHC kinematics investigated here in detail. The astonishing conclusion of our analysis is that the observables obtained within the complete next-lo-leading order BFKL framework of the present paper are quite similar to the same observables obtained within next-to-leading logarithm DGLAP type treatment. This fact sheds doubts on general belief that the studies of Mueller Navelet jets at the LHC will lead to clear discrimination between the BFKL and the DGLAP dynamics.
description: 5 pages, 2 figures, to appear in the proceedings of 18th International Workshop on Deep-Inelastic Scattering and Related Subjects (DIS 2010), Florence, Italy, 19-23 Apr 2010
Representing some non-representable matroids
Creators: name: Pendavingh, R. A.
name: van Zwam, S. H. M.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05B35

description: We extend the notion of representation of a matroid to algebraic structures that we call skew partial fields. Our definition of such representations extends Tutte's definition, using chain groups. We show how such representations behave under duality and minors, we extend Tutte's representability criterion to this new class, and we study the generator matrices of the chain groups. An example shows that the class of matroids representable over a skew partial field properly contains the class of matroids representable over a skew field. Next, we show that every multilinear representation of a matroid can be seen as a representation over a skew partial field. Finally we study a class of matroids called quaternionic unimodular. We prove a generalization of the Matrix Tree theorem for this class.
description: 29 pages, 2 figures
Primary and secondary scintillation measurements in a xenon Gas Proportional Scintillation Counter
Creators: name: Fernandes, L. M. P.
name: Freitas, E. D. C.
name: Ball, M.
name: Gómez-Cadenas, J. J.
name: Monteiro, C. M. B.
name: Yahlali, N.
name: Nygren, D.
name: Santos, J. M. F. dos
Publisher: name: arXiv
Year: 2010
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: NEXT is a new experiment to search for neutrinoless double beta decay using a 100 kg radio-pure high-pressure gaseous xenon TPC. The detector requires excellent energy resolution, which can be achieved in a Xe TPC with electroluminescence readout. Hamamatsu R8520-06SEL photomultipliers are good candidates for the scintillation readout. The performance of this photomultiplier, used as VUV photosensor in a gas proportional scintillation counter, was investigated. Initial results for the detection of primary and secondary scintillation produced as a result of the interaction of 5.9 keV X-rays in gaseous xenon, at room temperature and at pressures up to 3 bar, are presented. An energy resolution of 8.0% was obtained for secondary scintillation produced by 5.9 keV X-rays. No significant variation of the primary scintillation was observed for different pressures (1, 2 and 3 bar) and for electric fields up to 0.8 V cm-1 torr-1 in the drift region, demonstrating negligible recombination luminescence. A primary scintillation yield of 81 \pm 7 photons was obtained for 5.9 keV X-rays, corresponding to a mean energy of 72 \pm 6 eV to produce a primary scintillation photon in xenon.
description: 16 pages, 10 figures, accepted for publication in JINST
Human-Assisted Graph Search: It's Okay to Ask Questions
Creators: name: Parameswaran, Aditya
name: Sarma, Anish Das
name: Garcia-Molina, Hector
name: Polyzotis, Neoklis
name: Widom, Jennifer
Publisher: name: arXiv
Year: 2011
Subjects: subject: Databases (cs.DB)
subject: Data Structures and Algorithms (cs.DS)
subject: FOS: Computer and information sciences

description: We consider the problem of human-assisted graph search: given a directed acyclic graph with some (unknown) target node(s), we consider the problem of finding the target node(s) by asking an omniscient human questions of the form "Is there a target node that is reachable from the current node?". This general problem has applications in many domains that can utilize human intelligence, including curation of hierarchies, debugging workflows, image segmentation and categorization, interactive search and filter synthesis. To our knowledge, this work provides the first formal algorithmic study of the optimization of human computation for this problem. We study various dimensions of the problem space, providing algorithms and complexity results. Our framework and algorithms can be used in the design of an optimizer for crowd-sourcing platforms such as Mechanical Turk.
description: VLDB2011
Making Video Quality Assessment Models Robust to Bit Depth
Creators: name: Ebenezer, Joshua P.
name: Shang, Zaixi
name: Wu, Yongjun
name: Wei, Hai
name: Sethuraman, Sriram
name: Bovik, Alan C.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Image and Video Processing (eess.IV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: We introduce a novel feature set, which we call HDRMAX features, that when included into Video Quality Assessment (VQA) algorithms designed for Standard Dynamic Range (SDR) videos, sensitizes them to distortions of High Dynamic Range (HDR) videos that are inadequately accounted for by these algorithms. While these features are not specific to HDR, and also augment the equality prediction performances of VQA models on SDR content, they are especially effective on HDR. HDRMAX features modify powerful priors drawn from Natural Video Statistics (NVS) models by enhancing their measurability where they visually impact the brightest and darkest local portions of videos, thereby capturing distortions that are often poorly accounted for by existing VQA models. As a demonstration of the efficacy of our approach, we show that, while current state-of-the-art VQA models perform poorly on 10-bit HDR databases, their performances are greatly improved by the inclusion of HDRMAX features when tested on HDR and 10-bit distorted videos.
description: Published in IEEE Signal Processing Letters 2023
High Speed Reconfigurable FFT Design by Vedic Mathematics
Creators: name: Raman, Ashish
name: Kumar, Anvesh
name: Sarin, R. K.
Publisher: name: arXiv
Year: 2010
Subjects: subject: Other Computer Science (cs.OH)
subject: FOS: Computer and information sciences

description: The Fast Fourier Transform (FFT) is a computationally intensive digital signal processing (DSP) function widely used in applications such as imaging, software-defined radio, wireless communication, instrumentation. In this paper, a reconfigurable FFT design using Vedic multiplier with high speed and small area is presented. Urdhava Triyakbhyam algorithm of ancient Indian Vedic Mathematics is utilized to improve its efficiency. In the proposed architecture, the 4x4 bit multiplication operation is fragmented reconfigurable FFT modules. The 4x4 multiplication modules are implemented using small 2x2bit multipliers. Reconfigurability at run time is provided for attaining power saving. The reconfigurable FFT has been designed, optimized and implemented on an FPGA based system. This reconfigurable FFT is having the high speed and small area as compared to the conventional FFT.
description: Submitted to Journal of Computer Science and Engineering, see http://sites.google.com/site/jcseuk/volume-1-issue-1-may-2010
Phase shift induces currents in a periodic tube
Creators: name: Ai, Bao-quan
name: Liu, Liang-gang
Publisher: name: arXiv
Year: 2010
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: The average current of an overdamped Brownian particle moving along the axis of a three-dimensional periodic tube is investigated in the presence of a symmetric potential and a temporally symmetric unbiased external force. Reduction of the spatial dimensionality from two or three physical dimensions to an effective one dimensional system entails the appearance of not only an entropic barrier but also an effective diffusion coefficient. We find that the phase shift between the tube shape and the potential can break the symmetry of the effective potential and can induce net currents. Under optimal condition, the current as a function of temperature and the phase shift possesses many extrema of alternating signs. The current may reverse its direction several times when temperature or the phase shift is changed. Our model is to describe the movement of molecular motors along microtubule.
description: 12 pages, 5 figures
Antiferromagnetic Order in MnO Spherical Nanoparticles
Creators: name: Wang, C. H.
name: Baker, S. N.
name: Lumsden, 1 M. D.
name: Nagler, S. E.
name: Heller, W. T.
name: Baker, G. A.
name: Deen, y P. D.
name: Cranswick, L. M. D.
name: Su, Y.
name: Christianson, A. D.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We have performed unpolarized and polarized neutron diffraction experiments on monodisperse 8 nm and 13 nm antiferromagnetic MnO nanoparticles. For the 8 nm sample, the antiferromagnetic transition temperature $T_N$ (114 K) is suppressed compared to the bulk material (119 K) while for the 13 nm sample $T_N$ (120 K) is comparable to the bulk. The neutron diffraction data of the nanoparticles is well described using the bulk MnO magnetic structure but with a substantially reduced average magnetic moment of 4.2$\pm$0.3 $μ_B$/Mn for the 8 nm sample and 3.9$\pm$0.2 $μ_B$/Mn for the 13 nm sample. An analysis of the polarized neutron data on both samples shows that in an individual MnO nanoparticle about 80$%$ of Mn ions order. These results can be explained by a structure in which the monodisperse nanoparticles studied here have a core that behaves similar to the bulk with a surface layer which does not contribute significantly to the magnetic order.
description: 7 pages, 5 figures
Guided Data Repair
Creators: name: Yakout, Mohamed
name: Elmagarmid, Ahmed K.
name: Neville, Jennifer
name: Ouzzani, Mourad
name: Ilyas, Ihab F.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Databases (cs.DB)
subject: FOS: Computer and information sciences

description: In this paper we present GDR, a Guided Data Repair framework that incorporates user feedback in the cleaning process to enhance and accelerate existing automatic repair techniques while minimizing user involvement. GDR consults the user on the updates that are most likely to be beneficial in improving data quality. GDR also uses machine learning methods to identify and apply the correct updates directly to the database without the actual involvement of the user on these specific updates. To rank potential updates for consultation by the user, we first group these repairs and quantify the utility of each group using the decision-theory concept of value of information (VOI). We then apply active learning to order updates within a group based on their ability to improve the learned model. User feedback is used to repair the database and to adaptively refine the training set for the model. We empirically evaluate GDR on a real-world dataset and show significant improvement in data quality using our user guided repairing process. We also, assess the trade-off between the user efforts and the resulting data quality.
description: VLDB2011
The Gentle Bushman and the Tame Neanderthal: The 'ABC of Modernity' Reconsidered
Creators: name: Steiner, George F.
Publisher: name: Zenodo
Year: 2019
Subjects: causality
creativity
anarchaeology
rock art
Upper Paleolithic
Holocene
Bushmen
Neanderthals
cognitive evolution
cultural evolution

description: SUPPLEMENTARY GRAPHIC MATERIAL
An Investigation on the Basic Conceptual Foundations of Quantum Mechanics by Using the Clifford Algebra
Creators: name: Conte, Elio
Publisher: name: arXiv
Year: 2011
Subjects: subject: General Physics (physics.gen-ph)
subject: FOS: Physical sciences

description: We review our approach to quantum mechanics adding also some new interesting results. We start by giving proof of two important theorems on the existence of the and Clifford algebras. This last algebra gives proof of the von Neumann basic postulates on the quantum measurement explaining thus in an algebraic manner the wave function collapse postulated in standard quantum theory. In this manner we reach the objective to expose a self-consistent version of quantum mechanics. We give proof of the quantum like Heisenberg uncertainty relations, the phenomenon of quantum Mach Zender interference as well as quantum collapse in some cases of physical interest We also discuss the problem of time evolution of quantum systems as well as the changes in space location. We also give demonstration of the Kocken-Specher theorem, and also we give an algebraic formulation and explanation of the EPR . By using the same approach we also derive Bell inequalities. Our formulation is strongly based on the use of idempotents that are contained in Clifford algebra. Their counterpart in quantum mechanics is represented by the projection operators that are interpreted as logical statements, following the basic von Neumann results. Using the Clifford algebra we are able to invert such result. According to the results previously obtained by Orlov in 1994, we are able to give proof that quantum mechanics derives from logic. We show that indeterminism and quantum interference have their origin in the logic.
description: forthcoming papers; http://www.m-hikari.com/astp/forth/index.html
Component Interaction Graph: A new approach to test component composition
Creators: name: Acharya, Arup Abhinna
name: Jena, Sisir Kumar
Publisher: name: arXiv
Year: 2010
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: The key factor of component based software development is component composition technology. A Component interaction graph is used to describe the interrelation of components. Drawing a complete component interaction graph (CIG) provides an objective basis and technical means for making the testing outline. Although many researches have focused on this subject, the quality of system that is composed of components has not been guaranteed. In this paper, a CIG is constructed from a state chart diagram and new test cases are generated to test the component composition.
description: Submitted to Journal of Computer Science and Engineering, see http://sites.google.com/site/jcseuk/volume-1-issue-1-may-2010
Federated Deep Reinforcement Learning for THz-Beam Search with Limited CSI
Creators: name: Hsu, Po-Chun
name: Shen, Li-Hsiang
name: Liu, Chun-Hung
name: Feng, Kai-Ten
Publisher: name: arXiv
Year: 2023
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Terahertz (THz) communication with ultra-wide available spectrum is a promising technique that can achieve the stringent requirement of high data rate in the next-generation wireless networks, yet its severe propagation attenuation significantly hinders its implementation in practice. Finding beam directions for a large-scale antenna array to effectively overcome severe propagation attenuation of THz signals is a pressing need. This paper proposes a novel approach of federated deep reinforcement learning (FDRL) to swiftly perform THz-beam search for multiple base stations (BSs) coordinated by an edge server in a cellular network. All the BSs conduct deep deterministic policy gradient (DDPG)-based DRL to obtain THz beamforming policy with limited channel state information (CSI). They update their DDPG models with hidden information in order to mitigate inter-cell interference. We demonstrate that the cell network can achieve higher throughput as more THz CSI and hidden neurons of DDPG are adopted. We also show that FDRL with partial model update is able to nearly achieve the same performance of FDRL with full model update, which indicates an effective means to reduce communication load between the edge server and the BSs by partial model uploading. Moreover, the proposed FDRL outperforms conventional non-learning-based and existing non-FDRL benchmark optimization methods.
Additional file 1 of High neutrophil to lymphocyte ratio with type 2 diabetes mellitus predicts poor prognosis in patients undergoing percutaneous coronary intervention: a large-scale cohort study
Creators: name: He, Jining
name: Bian, Xiaohui
name: Song, Chenxi
name: Zhang, Rui
name: Yuan, Sheng
name: Yin, Dong
name: Dou, Kefei
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 1: Table S1.Correlation analysis between NLR and inflammatory or glycemic indexes in patients with T2DM, without T2DM and whole. Table S2.. Univariable and multivariable Cox proportional hazard analysis for primary endpoint. Table S3NLR-associated MACCE risk according to different glycemic metabolism. Table S4.Predictive value of the NLR level in different glycemic status for MACCEs in univariable and multivariable analysis by using cut-off of 3.04. Table S5. Subgroup analysis for the primary endpoint as the unadjusted model. Table S6.Subgroup analysis for the primary endpoint as the adjusted model. Figure S1.Restricted cubic splines of NLR levels in relation to unadjusted HR(A) and adjusted HR(B) for the risk of MACCE.
Ordinal generalizability theory using an underlying latent variable framework
Creators: name: Ark, Tavinder K.
Publisher: name: University of British Columbia
Year: 2015

description: This dissertation introduces a method for estimating the variance components required in the use of generalizability theory (GT) with categorical ratings (e.g., ordinal variables). Traditionally, variance components in GT are estimated using statistical techniques that treat ordinal variables as continuous. This may lead to bias in the estimation of variance components and the resulting reliability coefficients (called G-coefficients). This dissertation demonstrates that variance components can be estimated using a structural equation modeling (SEM) technique called covariance structural modeling (CSM) of a polychoric or tetrachoric correlation matrix, which accounts for the metric of ordinal variables. The dissertation provides a proof of concept of this method, which will be called ordinal GT, using real data in the computation of a relative G-coefficient, and a simulation study presenting the relative merits of ordinal to conventional G-coefficients from ordinal data. The results demonstrate that ordinal GT is viable using CSM of the polychoric matrix of ordinal data. In addition, using a Monte Carlo simulation, the relative G-coefficients when ordinal data are naively treated as continuous are compared to when they are correctly treated as ordinal. The number of response categories, magnitude of the theoretical G-coefficient, and skewness of the item response distributions varied in experimental conditions for: (i) a two-facet crossed G-study design, and (ii) a one-facet partially nested G-study design. The results reveal that when ordinal data were treated as continuous, the empirical G-coefficients were consistently underestimates than their theoretical values. This was true regardless of the number of response categories, magnitude of the theoretical G-coefficient, and skewness. In contrast, the ordinal G-coefficients performed much better in all conditions. This dissertation shows that using CSM to model the polychoric correlation matrix provides better estimates of variance components in the GT of ordinal variables. It offers researchers a new statistical avenue for computing relative G-coefficients when using ordinal variables.
Generalized Central Limit Theorem and Renormalization Group
Creators: name: Calvo, I.
name: Cuchí, J. C.
name: Esteve, J. G.
name: Falceto, F.
Publisher: name: arXiv
Year: 2010
Subjects: subject: Mathematical Physics (math-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We introduce a simple instance of the renormalization group transformation in the Banach space of probability densities. By changing the scaling of the renormalized variables we obtain, as fixed points of the transformation, the Lévy strictly stable laws. We also investigate the behavior of the transformation around these fixed points and the domain of attraction for different values of the scaling parameter. The physical interest of a renormalization group approach to the generalized central limit theorem is discussed.
description: 16 pages, to appear in J. Stat. Phys
High-Throughput Transaction Executions on Graphics Processors
Creators: name: He, Bingsheng
name: Yu, Jeffrey Xu
Publisher: name: arXiv
Year: 2011
Subjects: subject: Databases (cs.DB)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: OLTP (On-Line Transaction Processing) is an important business system sector in various traditional and emerging online services. Due to the increasing number of users, OLTP systems require high throughput for executing tens of thousands of transactions in a short time period. Encouraged by the recent success of GPGPU (General-Purpose computation on Graphics Processors), we propose GPUTx, an OLTP engine performing high-throughput transaction executions on the GPU for in-memory databases. Compared with existing GPGPU studies usually optimizing a single task, transaction executions require handling many small tasks concurrently. Specifically, we propose the bulk execution model to group multiple transactions into a bulk and to execute the bulk on the GPU as a single task. The transactions within the bulk are executed concurrently on the GPU. We study three basic execution strategies (one with locks and the other two lock-free), and optimize them with the GPU features including the hardware support of atomic operations, the massive thread parallelism and the SPMD (Single Program Multiple Data) execution. We evaluate GPUTx on a recent NVIDIA GPU in comparison with its counterpart on a quad-core CPU. Our experimental results show that optimizations on GPUTx significantly improve the throughput, and the optimized GPUTx achieves 4-10 times higher throughput than its CPU-based counterpart on public transaction processing benchmarks.
description: VLDB2011
Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining
Creators: name: Nebbia, Giacomo
name: Kovashka, Adriana
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Named entities are ubiquitous in text that naturally accompanies images, especially in domains such as news or Wikipedia articles. In previous work, named entities have been identified as a likely reason for low performance of image-text retrieval models pretrained on Wikipedia and evaluated on named entities-free benchmark datasets. Because they are rarely mentioned, named entities could be challenging to model. They also represent missed learning opportunities for self-supervised models: the link between named entity and object in the image may be missed by the model, but it would not be if the object were mentioned using a more common term. In this work, we investigate hypernymization as a way to deal with named entities for pretraining grounding-based multi-modal models and for fine-tuning on open-vocabulary detection. We propose two ways to perform hypernymization: (1) a ``manual'' pipeline relying on a comprehensive ontology of concepts, and (2) a ``learned'' approach where we train a language model to learn to perform hypernymization. We run experiments on data from Wikipedia and from The New York Times. We report improved pretraining performance on objects of interest following hypernymization, and we show the promise of hypernymization on open-vocabulary detection, specifically on classes not seen during training.
Superconductivity in the iron selenide KxFe2Se2 (0 <= x <= 1)
Creators: name: Guo, Jiangang
name: Jin, Shifeng
name: Wang, Gang
name: Wang, Shunchong
name: Zhu, Kaixing
name: Zhou, Tingting
name: He, Meng
name: Chen, Xiaolong
Publisher: name: arXiv
Year: 2010
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We report the superconductivity at above 30 K in a new FeSe-layer compound K0.8Fe2Se2 (nominal composition) achieved by metal K intercalating in between FeSe layers. It is isostructural to BaFe2As2 and possesses the highest Tc for FeSe-layer materials so far under ambient pressure. Hall effect indicates the carriers are dominated by electron in this superconductor. We confirm that the observed superconductivity at above 30 K is due to this new FeSe-based 122 phase. Our results demonstrate that FeSe-layer materials are really remarkable superconductors via structure and carrier modulation.
description: 18 pages,5 figures
Algorithm for Predicting Protein Secondary Structure
Creators: name: Senapati, K. K
name: Sahoo, G.
name: Bhaumik, D.
Publisher: name: arXiv
Year: 2010
Subjects: subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Biomolecules (q-bio.BM)
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: Predicting protein structure from amino acid sequence is one of the most important unsolved problems of molecular biology and biophysics.Not only would a successful prediction algorithm be a tremendous advance in the understanding of the biochemical mechanisms of proteins, but, since such an algorithm could conceivably be used to design proteins to carry out specific functions.Prediction of the secondary structure of a protein (alpha-helix, beta-sheet, coil) is an important step towards elucidating its three dimensional structure as well as its function. In this research, we use different Hidden Markov models for protein secondary structure prediction. In this paper we have proposed an algorithm for predicting protein secondary structure. We have used Hidden Markov model with sliding window for secondary structure prediction.The secondary structure has three regular forms, for each secondary structural element we are using one Hidden Markov Model.
description: Submitted to Journal of Computer Science and Engineering, see http://sites.google.com/site/jcseuk/volume-1-issue-1-may-2010
MOESM8 of siRNAs regulate DNA methylation and interfere with gene and lncRNA expression in the heterozygous polyploid switchgrass
Creators: name: Yan, Haidong
name: Bombarely, Aureliano
name: Xu, Bin
name: Frazier, Taylor
name: Wang, Chengran
name: Chen, Peilin
name: Chen, Jing
name: Hasing, Tomas
name: Cui, Chenming
name: Zhang, Xinquan
name: Zhao, Bingyu
name: Huang, Linkai
Publisher: name: figshare
Year: 2018
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Plant Biology

description: Additional file 8: Table S3. Comparison of methylation levels between class I and class II transposons in leaf and root tissues.
One-shot backpropagation for multi-step prediction in physics-based system identification -- EXTENDED VERSION
Creators: name: Donati, Cesare
name: Mammarella, Martina
name: Dabbene, Fabrizio
name: Novara, Carlo
name: Lagoa, Constantino
Publisher: name: arXiv
Year: 2023
Subjects: subject: Systems and Control (eess.SY)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: The aim of this paper is to present a novel physics-based framework for the identification of dynamical systems, in which the physical and structural insights are reflected directly into a backpropagation-based learning algorithm. The main result is a method to compute in closed form the gradient of a multi-step loss function, while enforcing physical properties and constraints. The derived algorithm has been exploited to identify the unknown inertia matrix of a space debris, and the results show the reliability of the method in capturing the physical adherence of the estimated parameters.
Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collection
Creators: name: Wessel, Martin
name: Horych, Tomáš
name: Ruas, Terry
name: Aizawa, Akiko
name: Gipp, Bela
name: Spinde, Timo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Retrieval (cs.IR)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Although media bias detection is a complex multi-task problem, there is, to date, no unified benchmark grouping these evaluation tasks. We introduce the Media Bias Identification Benchmark (MBIB), a comprehensive benchmark that groups different types of media bias (e.g., linguistic, cognitive, political) under a common framework to test how prospective detection techniques generalize. After reviewing 115 datasets, we select nine tasks and carefully propose 22 associated datasets for evaluating media bias detection techniques. We evaluate MBIB using state-of-the-art Transformer techniques (e.g., T5, BART). Our results suggest that while hate speech, racial bias, and gender bias are easier to detect, models struggle to handle certain bias types, e.g., cognitive and political bias. However, our results show that no single technique can outperform all the others significantly. We also find an uneven distribution of research interest and resource allocation to the individual tasks in media bias. A unified benchmark encourages the development of more robust systems and shifts the current paradigm in media bias detection evaluation towards solutions that tackle not one but multiple media bias types simultaneously.
description: To be published in Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23)
Sustainable Transport Safety : a review of barriers to, and promising engineering tools for, promoting safer bicycling and walking in Canadian communities
Creators: name: Masoud, Abdul Rahman
Publisher: name: University of British Columbia
Year: 2015

description: The low level of physical activity in Canadian cities has encouraged planners/engineers to investigate the fundamentals of forming livable communities characterized by more active and healthier lifestyles. A major factor that hinders promoting healthier communities is our auto-oriented developments. Another factor appears to be a lack of integrated, system-based approaches to community planning and Active Transportation (AT) infrastructure design that provides a safe environment for AT users. Therefore, the objectives of this research were to 1) identify the barriers communities face when trying to promote healthy communities, 2) review Canadian practices for encouraging a more active lifestyle and healthy living, and 3) recommend a tool for planners to assess developments in terms of health and safety. Thirty-six one-hour interviews were conducted to collect publicly available data from key stakeholders in randomly selected cities to identify challenges for promoting AT. In addition, the functional ability of the Healthy Development Index (HDI) was examined by conducting a “beta test” case study on nine developments in major urban centers. Moreover, the effectiveness of the Fused Grid (FG) community design was evaluated using the HDI and Sustainable Transport Safety principles. Based on the interviews with stakeholders, it was found that discontinuity of the AT infrastructure system, caused mainly by a lack of available AT funding, is a main barrier to AT use in the majority of cases. It was also found that low density and uncontrolled land development are other main barriers. Conventionally, the focus is more concentrated on providing AT infrastructure within new developments; rather, the focus should also be on integrating the development within the existing larger community, and to enhance high density and good land-use. While the HDI has a comprehensive set of measures that capture most of these factors, the functional ability evaluation identified several drawbacks including: 1) the data collection process to perform the HDI analysis is a difficult and time consuming process for older, existing communities and 2) there is a gap in both the literature and the index on the relationship between intersection density (a vehicle connectivity metric) and, the safety of pedestrians/cyclists and the connectivity of pedestrian/cyclists off-road paths. Moreover, the effectiveness evaluation of the FG community illustrated how it can be a successful model for building sustainably healthy and safer communities.
On $γ$-Semi-Continuous Functions
Creators: name: Hussain, Sabir
Publisher: name: arXiv
Year: 2011
Subjects: subject: General Topology (math.GN)
subject: FOS: Mathematics
subject: 54A05, 54A10, 54D10

description: In this paper, we continue studying the properties of $γ$-semi-continuous and $γ$-semi-open functions introduced in [5].
description: This paper have been published in Punjab University Journal of Mathematics
Modeling Spoken Information Queries for Virtual Assistants: Open Problems, Challenges and Opportunities
Creators: name: Van Gysel, Christophe
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Retrieval (cs.IR)
subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Virtual assistants are becoming increasingly important speech-driven Information Retrieval platforms that assist users with various tasks. We discuss open problems and challenges with respect to modeling spoken information queries for virtual assistants, and list opportunities where Information Retrieval methods and research can be applied to improve the quality of virtual assistant speech recognition. We discuss how query domain classification, knowledge graphs and user interaction data, and query personalization can be helpful to improve the accurate recognition of spoken information domain queries. Finally, we also provide a brief overview of current problems and challenges in speech recognition.
description: SIGIR '23. The 46th International ACM SIGIR Conference on Research & Development in Information Retrieval
Cherenkov Telescopes as Optical Telescopes for Bright Sources: Today's Specialised Thirty Metre Telescopes?
Creators: name: Lacki, Brian C.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: Imaging Atmospheric Cherenkov Telescopes (IACTs) use large-aperture (~ 10 - 30 m) optical telescopes with arcminute angular resolution to detect TeV gamma-rays in the atmosphere. I show that IACTs are well-suited for optical observations of bright sources (V <= 8 - 10), because these sources are brighter than the sky background. Their advantages are especially great on rapid time-scales. Thus, IACTs are ideal for studying many phenomena optically, including transiting exoplanets and the brightest gamma-ray bursts. In principle, an IACT could achieve millimagnitude photometry of these objects with second-long exposures. I also consider the potential for optical spectroscopy with IACTs, finding that their poor angular resolution limits their usefulness for high spectral resolutions, unless complex instruments are developed. The high photon collection rate of IACTs is potentially useful for precise polarimetry. Finally, I briefly discuss the broader possibilities of extremely large, low resolution telescopes, including a 10" resolution telescope and spaceborne telescopes.
description: 10 pages, 3 figures, accepted by MNRAS
Generative Relevance Feedback with Large Language Models
Creators: name: Mackie, Iain
name: Chatterjee, Shubham
name: Dalton, Jeffrey
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences
subject: H.3.3

description: Current query expansion models use pseudo-relevance feedback to improve first-pass retrieval effectiveness; however, this fails when the initial results are not relevant. Instead of building a language model from retrieved results, we propose Generative Relevance Feedback (GRF) that builds probabilistic feedback models from long-form text generated from Large Language Models. We study the effective methods for generating text by varying the zero-shot generation subtasks: queries, entities, facts, news articles, documents, and essays. We evaluate GRF on document retrieval benchmarks covering a diverse set of queries and document collections, and the results show that GRF methods significantly outperform previous PRF methods. Specifically, we improve MAP between 5-19% and NDCG@10 17-24% compared to RM3 expansion, and achieve the best R@1k effectiveness on all datasets compared to state-of-the-art sparse, dense, and expansion models.
description: SIGIR 2023 Preprint, 6 pages
MOESM9 of siRNAs regulate DNA methylation and interfere with gene and lncRNA expression in the heterozygous polyploid switchgrass
Creators: name: Yan, Haidong
name: Bombarely, Aureliano
name: Xu, Bin
name: Frazier, Taylor
name: Wang, Chengran
name: Chen, Peilin
name: Chen, Jing
name: Hasing, Tomas
name: Cui, Chenming
name: Zhang, Xinquan
name: Zhao, Bingyu
name: Huang, Linkai
Publisher: name: figshare
Year: 2018
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Plant Biology

description: Additional file 9: Table S4. Comparison of methylation levels in genic and TE regions between switchgrass leaf and root tissues.
Content Significance Distribution of Sub-Text Blocks in Articles and Its Application to Article-Organization Assessment
Creators: name: Zhou, You
name: Wang, Jie
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences
subject: I.2.7

description: We explore how to capture the significance of a sub-text block in an article and how it may be used for text mining tasks. A sub-text block is a sub-sequence of sentences in the article. We formulate the notion of content significance distribution (CSD) of sub-text blocks, referred to as CSD of the first kind and denoted by CSD-1. In particular, we leverage Hugging Face's SentenceTransformer to generate contextual sentence embeddings, and use MoverScore over text embeddings to measure how similar a sub-text block is to the entire text. To overcome the exponential blowup on the number of sub-text blocks, we present an approximation algorithm and show that the approximated CSD-1 is almost identical to the exact CSD-1. Under this approximation, we show that the average and median CSD-1's for news, scholarly research, argument, and narrative articles share the same pattern. We also show that under a certain linear transformation, the complement of the cumulative distribution function of the beta distribution with certain values of $α$ and $β$ resembles a CSD-1 curve. We then use CSD-1's to extract linguistic features to train an SVC classifier for assessing how well an article is organized. Through experiments, we show that this method achieves high accuracy for assessing student essays. Moreover, we study CSD of sentence locations, referred to as CSD of the second kind and denoted by CSD-2, and show that average CSD-2's for different types of articles possess distinctive patterns, which either conform common perceptions of article structures or provide rectification with minor deviation.
The city and the spectacle : social housing, homelessness, and the 2010 winter Olympic Games
Creators: name: Pentifallo, Caitlin
Publisher: name: University of British Columbia
Year: 2015

description: This dissertation consists of a critical examination of the City of Vancouver’s urban policies during a significant era of urban governance: the lead up to the 2010 Winter Olympic and Paralympic Games. To do so, I will create two embedded case studies: one, featuring the creation of a social housing legacy to be left in the Athletes’ Village in Southeast False Creek, and the other on the enforcement of policies affecting or alleviating homelessness in Vancouver’s Downtown Eastside. How social housing and homelessness came to be incorporated into the event’s objectives, how the discussions and deliberations around these issues proceeded, and how the 2010 Winter Olympic Games impacted the City of Vancouver’s policy making process in the years leading up to the start of the 2010 Games will all be explored in the chapters to follow. The methodological approach I applied provides insights on how policies, operationalized under the guise of preparing to host a sport mega-event, were able to alter the political and social trajectory of the City of Vancouver. Guided by the overarching theoretical framework offered by critical urban theory, I relied on critical policy studies and critical discourse analysis. By carefully tracing the origins, nature, and intent of these policies as they unfolded in various iterations between 2000 and 2013, it was my ambition to contribute to a broader understanding of how sport mega-events influence urban policies and social outcomes. The 2010 Games, once marketed as a socially inclusive event, instead brought an intense wave of punitive urban measures that functioned to criminalize homelessness. Instead of filling the rooms once occupied by Olympians with those in need of housing, the number of social housing units made available shrunk gradually over time, eventually dwindling to but a handful of units actually constituting social housing. In critically disassembling the policies that bore direct influence on social housing and homelessness, my findings demonstrate the ways in which policy-making processes are altered, abandoned, or exacerbated as the mega-event drew near.
An approach to find dynamic slice for C++ Program
Creators: name: Pani, Santosh Kumar
name: Arundhati, Priya
Publisher: name: arXiv
Year: 2010
Subjects: subject: Programming Languages (cs.PL)
subject: FOS: Computer and information sciences

description: Object-oriented programming has been considered a most promising method in program development and maintenance. An important feature of object-oriented programs (OOPs) is their reusability which can be achieved through the inheritance of classes or reusable components.Dynamic program slicing is an effective technique for narrowing the errors to the relevant parts of a program when debugging. Given a slicing criterion, the dynamic slice contains only those statements that actually affect the variables in the slicing criterion. This paper proposes a method to dynamically slice object-oriented (00) programs based on dependence analysis. It uses the Control Dependency Graph for object program and other static information to reduce the information to be traced during program execution. In this paper we present a method to find the dynamic Slice of object oriented programs where we are finding the slices for object and in case of function overloading.
description: Submitted to Journal of Computer Science and Engineering, see http://sites.google.com/site/jcseuk/volume-1-issue-1-may-2010
FBXO44-MEDIATED DEGRADATION OF RGS2
Creators: name: McNabb, Harrison J
Publisher: name: Purdue University Graduate School
Year: 2023
Subjects: Basic pharmacology
Animal cell and molecular biology
Signal transduction

description: G Protein Coupled Receptor (GPCR) signaling plays a key role in intercellular communication and regulates many physiological processes relevant to disease. Approximately 30-40% of all FDA approved drugs target GPCR pathways, but limitations and off-target side effects remain obstacles. Regulator of G protein Signaling (RGS) proteins negatively modulate GPCR signaling by accelerating deactivation of the Gα subunit and thus represent a novel alternative to current approaches. While research on RGS proteins and how they are regulated has expanded rapidly, there are still gaps in knowledge for some members of the RGS family. One example is RGS2, which is selective for Gαq signaling. Lowered RGS2 levels are implicated in numerous diseases, and while the E3 ligase responsible for facilitating degradation of RGS2 has been identified more work needs to be done to viably drug it to enhance RGS2 protein levels. In this thesis, I explore how FBXO44, an E3 ligase substrate recognition component responsible for RGS2 degradation, interacts with RGS2 to explore approaches to inhibit degradation.
 While the FBXO44-RGS2 interaction has been demonstrated previously, the degron sequence of RGS2 remained unknown. We hypothesized that FBXO44 binds RGS2 at its Nterminus and investigated this using N-terminally truncated RGS2 constructs. Our results indicated that FBXO44 binds between residues 5 and 16 of RGS2, as removal of these stabilized RGS2 against proteasomal degradation. Based on these results we designed a peptide microarray to identify important residues and properties for FBXO44 in vitro and found that Cys13 is essential for FBXO44 binding.
 We also developed and optimized a high-throughput split luciferase screen to identify potential inhibitors of the FBXO44-RGS2 interaction. After forming a cell-line stably expressing tagged FBXO44 and RGS2 and optimizing assay condition, we achieved a robust assay for screening as determined by Z’-factor.
Definability of restricted theta functions and families of abelian varieties
Creators: name: Peterzil, Ya'acov
name: Starchenko, Sergei
Publisher: name: arXiv
Year: 2011
Subjects: subject: Logic (math.LO)
subject: Number Theory (math.NT)
subject: FOS: Mathematics

description: We consider some classical maps from the theory of abelian varieties and their moduli spaces and prove their definability, on restricted domains, in the o-minimal structure $\Rae$. In particular, we prove that the embedding of moduli space of principally polarized ableian varierty, $Sp(2g,\Z)\backslash \CH_g$, is definable in $\Rae$, when restricted to Siegel's fundamental set $\fF_g$. We also prove the definability, on appropriate domains, of embeddings of families of abelian varieties into projective space.