cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A Study of some ML and DL-based Strategies for Network Security
Creators: name: Farsimadan, Eslam
Publisher: name: Universita degli studi di Salerno
Year: 2023
Subjects: subject: INF/01 INFORMATICA
subject: Network security
subject: Attack detection
subject: Attack classification
subject: Malware detection

description: 2021 - 2022
description: The Internet and advanced communication networks, such as IoT and cellular net- works, produce enormous and diverse traffic data flows. The behavior of network traffic in these networks is highly intricate due to factors like device mobility and network heterogeneity. As a result, conventional network security and management methods struggle to handle the challenges of securing, monitoring, and analyzing the network and data. These challenges include issues such as the efficacy of classi- fication and detection strategies, precision, accuracy, and the ability to process big data in real-time. Recently, machine learning and deep learning have proven to be highly effective in addressing network security concerns and have demonstrated superiority over tradi- tional methods. Consequently, researchers in the field of networking are turning to these machine learning and deep learning models for network security and manage- ment. Motivated by the success and effectiveness of these models, this thesis concentrates on addressing two crucial and challenging issues in network security through dynamic analysis, machine learning, and deep learning models, with a particular emphasis on artificial neural networks. More precisely, it presents new learning-based techniques for attack classification and malware detection. First, a general introduction with some motivations for this thesis is presented. Then, the state-of-the-art is investigated, and the most effective artificial intelligence- based methods related to the above mentioned network security aspects are reported. After that, the primary materials and preliminaries for constructing the proposed models, such as neural network types, recurrence plots, and so on, are introduced in detail. Finally, the proposed methods for attack classification and malware de- tection are investigated in terms of mathematical background, model architecture, experimental setting, and evaluation. Moreover, the proposed methods are analyzed from a theoretical perspective and through specific performance evaluation experiments on real network traffic datasets. The obtained results, in the presence of several unbalanced datasets instances, prove the effectiveness of the proposed approaches. Keywords: Network Security, Attack Detection, Attack Classification, Mal- ware Detection, Machine Learning, Deep Learning, Neural Networks, Recurrence Plots, Markov Chain. [edited by Author]
Gallup Canada Poll #199804: Confidence in Institutions
Creators: name: Gallup Canada, Inc.
Publisher: name: Roper Center for Public Opinion Research
Year: 2019

description: Political parties (2); Jean Chretien job performance (1); institutions in Canadian society (1); lasting peace in Northern Ireland (1); homosexuals (5); smoking (1); alcoholic beverages (1); hockey (1); World Series (2); religious preference (1).
THE IMPORTANCE OF TEACHING FOLKLORE SONGS IN EDUCATION
Creators: name: Allayarova, N.N.
Publisher: name: Zenodo
Year: 2023

description: In this article, the use of folk songs and their performance methods in continuing education, national music, children's folk songs, in music culture lessons held in general secondary schools and through these songs, young people are taught about their motherland, increasing the love for uni songs and its analysis.
Gallup Canada Poll #199806: Economy/Hunger Problem/Viagra
Creators: name: Gallup Canada, Inc.
Publisher: name: Roper Center for Public Opinion Research
Year: 2019

description: political parties (2); Jean Chretien job performance (1); economic conditions (2); budgetary surpluses (1); place of worship (1); hunger problem (2); Viagra (5); religious preference (1).
Gallup Canada Poll #199809: Economy/Progressive Conservative Party
Creators: name: Gallup Canada, Inc.
Publisher: name: Roper Center for Public Opinion Research
Year: 2019

description: political parties (2); Jean Chretien job performance (1); direction of country (1); economy (2); financial situation of household (2); affairs (1); Bill Clinton affair (1); Kenneth Starr's report (1); monarchy (1); King of England (1); Progressive Conservative party (2); airplanes (2); SwissAir 111 (1); religious preference (1).
Spatio-temporal trends in the propagation and capacity of low-carbon hydrogen projects
Creators: name: James, Nick
name: Menzies, Max
Publisher: name: arXiv
Year: 2021
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: This paper uses established and recently introduced methods from the applied mathematics and statistics literature to study trends in the propagation and capacity of low-carbon hydrogen projects over the past two decades. First, we judiciously apply a regression model to estimate the association between various predictors and the capacity of global hydrogen projects. Next, we turn to the geographic propagation of low-carbon hydrogen projects, where we apply a recently introduced method to explore the geographic variance of hydrogen projects over time. Then, we demonstrate that most geographic regions display linear growth in cumulative plants and apply distance correlation to determine the nonlinear dependence between the two most prolific regions - North America and Europe. Finally, we study the time-varying regional consistency between the contribution of green vs fossil fuel plants to the total number and capacity of hydrogen plants.
description: Accepted manuscript. Minor edits since v1. Equal contribution
Fire response of self-centering concrete joint and their post-fire seismic performance
Creators: name: Wu, Zhenli
name: Li, Lingzhi
name: Lu, Zhoudao
Publisher: name: figshare
Year: 2023
Subjects: Fire safety engineering

description: Self-centering joints always show good seismic performance and self-centering capacity. However, there is rare study on fire response of self-centering joint. This paper presents a comprehensive experimental study on the fire response of self-centering beam-column joints as well as their post-fire seismic performance. In total, two joints were designed and fabricated. One was used as reference and the other subjected to constant vertical loads on the beam ends was tested under the ISO-834 fire. The fire test terminated after 171min without reaching failure limit states. The test results indicate that the fire resistance of self-centering joint is satisfactory. Then both joints were tested under quasi-static loading. The fire exposure significantly affected the post-fire seismic performance of self-centering joint. Nevertheless, self-centering joint could sustain severe seismic excitation after fire exposure.
Gallup Canada Poll #199810: Volunteering/Hunting/Savings
Creators: name: Gallup Canada, Inc.
Publisher: name: Roper Center for Public Opinion Research
Year: 2019

description: political parties (2); Jean Chretien job performance (1); regular volunteer activities (2); donations (1); saving money (3); trick or treating (3); firearms (5); Joe Clark (1); Scouts Canada (1); religious preference (1).
CRISPR-Cas9 screening identifies an IRF1-SOCS1-mediated negative feedback loop that limits CXCL9 expression and antitumor immunity
Creators: name: House, IG
name: Derrick, EB
name: Sek, K
name: Chen, AXY
name: Li, J
name: Lai, J
name: Todd, KL
name: Munoz, I
name: Michie, J
name: Chan, CW
name: Huang, YK
name: Chan, JD
name: Petley, EV
name: Tong, J
name: Nguyen, DM
name: Engel, S
name: Savas, P
name: Hogg, SJ
name: Vervoort, SJ
name: Kearney, Conor
name: Burr, ML
name: Lam, EYN
name: Gilan, O
name: Bedoui, S
name: Johnstone, RW
name: Dawson, MA
name: Loi, S
name: Darcy, PK
name: Beavis, PA
Publisher: name: La Trobe
Year: 2023
Subjects: classificationCode: 31
subject: Biological sciences
subject: FOS: Biological sciences
classificationCode: 3101
subject: Biochemistry and cell biology

description: CXCL9 expression is a strong predictor of response to immune checkpoint blockade therapy. Accordingly, we sought to develop therapeutic strategies to enhance the expression of CXCL9 and augment antitumor immunity. To perform whole-genome CRISPR-Cas9 screening for regulators of CXCL9 expression, a CXCL9-GFP reporter line is generated using a CRISPR knockin strategy. This approach finds that IRF1 limits CXCL9 expression in both tumor cells and primary myeloid cells through induction of SOCS1, which subsequently limits STAT1 signaling. Thus, we identify a subset of STAT1-dependent genes that do not require IRF1 for their transcription, including CXCL9. Targeting of either IRF1 or SOCS1 potently enhances CXCL9 expression by intratumoral macrophages, which is further enhanced in the context of immune checkpoint blockade therapy. We hence show a non-canonical role for IRF1 in limiting the expression of a subset of STAT1-dependent genes through induction of SOCS1.
Gallup Canada Poll #199812: Economy/Christmas
Creators: name: Gallup Canada, Inc.
Publisher: name: Roper Center for Public Opinion Research
Year: 2019

description: Vote for political party (2); Jean Chretien job performance (1); economy (3); unemployment (1); strikes and industrial disputes in 1999 (1); peace in 1999 (1); good time to buy (3); personal financial situation (3); standard of living (2); celebrate Christmas (11); religion (1).
Gallup Poll # 1999-01
Creators: name: Gallup Canada, Inc.
Publisher: name: Roper Center for Public Opinion Research
Year: 2019

description: Federal government(2) Chretien job approval(1) most important problem(1) federal party best able to handle problems(1) news sources(10) relationship between respondent and spouse(1) buy gift for spouse/partner for valentine's day(1) Y2k problems(10) language spoken(1) religion(1).
Growth of a renormalized operator as a probe of chaos
Creators: name: Huang, Xing
name: Zhang, Binchao
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We propose that the size of an operator evolved under holographic renormalization group flow shall grow linearly with the scale and interpret this behavior as a manifestation of the saturation of the chaos bound. To test this conjecture, we study the operator growth in two different toy models. The first is a MERA-like tensor network built from a random unitary circuit with the operator size defined using the integrated out-of-time-ordered correlator (OTOC). The second model is an error-correcting code of perfect tensors, and the operator size is computed using the number of single-site physical operators that realize the logical operator. In both cases, we observe linear growth.
description: 20 pages, 3 figures; v2: typos fixed, published version
Gallup Poll # 1999-02
Creators: name: Gallup Canada, Inc.
Publisher: name: Roper Center for Public Opinion Research
Year: 2019

description: Federal election(2) Chretien job approval(1) afraid to walk in neighborhood at night(1) education(3) Salt Lake City Olympic games(3) King Hussein funeral (2) merger of progressive conservative party and reform party(1) candidate best for prime minister job(1) language spoken(1) religion(1).
The Role of Socioeconomic Status in Longitudinal Trends of Cholera in Matlab, Bangladesh, 1993–2007
Creators: name: Rodd, Joshua
name: Yunus, Mohammad
name: Emch, Michael
name: Root, Elisabeth Dowling
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2013

description: There has been little evidence of a decline in the global burden of cholera in recent years as the number of cholera cases reported to WHO continues to rise. Cholera remains a global threat to public health and a key indicator of lack of socioeconomic development. Overall socioeconomic development is the ultimate solution for control of cholera as evidenced in developed countries. However, most research has focused on cross-county comparisons so that the role of individual- or small area-level socioeconomic status (SES) in cholera dynamics has not been carefully studied. Reported cases of cholera in Matlab, Bangladesh have fluctuated greatly over time and epidemic outbreaks of cholera continue, most recently with the introduction of a new serotype into the region. The wealth of longitudinal data on the population of Matlab provides a unique opportunity to explore the impact of socioeconomic status and other demographic characteristics on the long-term temporal dynamics of cholera in the region. In this population-based study we examine which factors impact the initial number of cholera cases in a bari at the beginning of the 0139 epidemic and the factors impacting the number of cases over time. Cholera data were derived from the ICDDR,B health records and linked to socioeconomic and geographic data collected as part of the Matlab Health and Demographic Surveillance System. Longitudinal zero-inflated Poisson (ZIP) multilevel regression models are used to examine the impact of environmental and socio-demographic factors on cholera counts across baris. Results indicate that baris with a high socioeconomic status had lower initial rates of cholera at the beginning of the 0139 epidemic (γ01 = −0.147, p = 0.041) and a higher probability of reporting no cholera cases (α01 = 0.156, p = 0.061). Populations in baris characterized by low SES are more likely to experience higher cholera morbidity at the beginning of an epidemic than populations in high SES baris.
Differing Patterns of Selection and Geospatial Genetic Diversity within Two Leading Plasmodium vivax Candidate Vaccine Antigens
Creators: name: Bailey, Jeffrey A.
name: Juliano, Jonathan J.
name: Parobek, Christian M.
name: Hathaway, Nicholas J.
name: Socheat, Duong
name: Rogers, William O.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2014

description: Although Plasmodium vivax is a leading cause of malaria around the world, only a handful of vivax antigens are being studied for vaccine development. Here, we investigated genetic signatures of selection and geospatial genetic diversity of two leading vivax vaccine antigens – Plasmodium vivax merozoite surface protein 1 (pvmsp-1) and Plasmodium vivax circumsporozoite protein (pvcsp). Using scalable next-generation sequencing, we deep-sequenced amplicons of the 42 kDa region of pvmsp-1 (n = 44) and the complete gene of pvcsp (n = 47) from Cambodian isolates. These sequences were then compared with global parasite populations obtained from GenBank. Using a combination of statistical and phylogenetic methods to assess for selection and population structure, we found strong evidence of balancing selection in the 42 kDa region of pvmsp-1, which varied significantly over the length of the gene, consistent with immune-mediated selection. In pvcsp, the highly variable central repeat region also showed patterns consistent with immune selection, which were lacking outside the repeat. The patterns of selection seen in both genes differed from their P. falciparum orthologs. In addition, we found that, similar to merozoite antigens from P. falciparum malaria, genetic diversity of pvmsp-1 sequences showed no geographic clustering, while the non-merozoite antigen, pvcsp, showed strong geographic clustering. These findings suggest that while immune selection may act on both vivax vaccine candidate antigens, the geographic distribution of genetic variability differs greatly between these two genes. The selective forces driving this diversification could lead to antigen escape and vaccine failure. Better understanding the geographic distribution of genetic variability in vaccine candidate antigens will be key to designing and implementing efficacious vaccines.
The EBLM project. II. A very hot, low-mass M dwarf in an eccentric and long period eclipsing binary system from SuperWASP
Creators: name: Chew, Y. Gómez Maqueo
name: Morales, J. C.
name: Faedi, F.
name: García-Melendo, E.
name: Hebb, L.
name: Rodler, F.
name: Deshpande, R.
name: Mahadevan, S.
name: McCormac, J.
name: Barnes, R.
name: Triaud, A. H. M. J.
name: López-Morales, M.
name: Skillen, I.
name: Cameron, A. Collier
name: Joner, M. D.
name: Laney, C. D.
name: Stephens, D. C.
name: Stassun, K. G.
name: Montañés-Rodríguez, P.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: In this paper, we derive the fundamental properties of 1SWASPJ011351.29+314909.7 (J0113+31), a metal-poor (-0.40 +/- 0.04 dex), eclipsing binary in an eccentric orbit (~0.3) with an orbital period of ~14.277 d. Eclipsing M dwarfs orbiting solar-type stars (EBLMs), like J0113+31, have been identified from WASP light curves and follow-up spectroscopy in the course of the transiting planet search. We present the first binary of the EBLM sample to be fully analysed, and thus, define here the methodology. The primary component with a mass of 0.945 +/- 0.045 Msun has a large radius (1.378 +/- 0.058 Rsun) indicating that the system is quite old, ~9.5 Gyr. The M-dwarf secondary mass of 0.186 +/- 0.010 Msun and radius of 0.209 +/- 0.011 Rsun are fully consistent with stellar evolutionary models. However, from the near-infrared secondary eclipse light curve, the M dwarf is found to have an effective temperature of 3922 +/- 42 K, which is ~600 K hotter than predicted by theoretical models. We discuss different scenarios to explain this temperature discrepancy. The case of J0113+31 for which we can measure mass, radius, temperature and metallicity, highlights the importance of deriving mass, radius and temperature as a function of metallicity for M dwarfs to better understand the lowest mass stars. The EBLM Project will define the relationship between mass, radius, temperature and metallicity for M dwarfs providing important empirical constraints at the bottom of the main sequence.
description: 13 pages, 7 figures. Accepted for publication in A&A
The $η$- and $η'$-nucleus interactions and the search for $η$, $η'$- mesic states
Creators: name: Bass, Steven D.
name: Metag, Volker
name: Moskal, Pawel
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Experiment (nucl-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The isoscalar $η$ and $η'$ mesons are special in QCD, being linked both to chiral symmetry and to non-perturbative glue associated with the axial anomaly. The properties of these mesons in medium are sensitive to how these dynamics work in the nuclear environment. In contrast to pionic and kaonic atoms which are mainly bound by the Coulomb interaction with some corrections due to the strong force (Coulomb assisted binding), the $η$ and $η'$ as neutral mesons can only be bound by the strong interaction. Is this interaction strong enough? This topic has inspired a vigorous program of experiments, conducted in close contact with theory, One has to determine the complex $η$, $η'$-nucleus potential. Does the real part $V$ provide a sufficiently deep potential? Is the imaginary part $W$ small enough to allow for narrow states that can more easily be detected experimentally, i.e. $|W| \ll |V|$? The $η'$ effective mass is observed to be suppressed by $\approx -40$ MeV at nuclear matter density. Bound state searches are ongoing. This article gives an overview of the status of knowledge in this field together with an outlook to future experiments.
description: 26 pages, 12 figures. arXiv admin note: text overlap with arXiv:1810.12290
Biodistribution and Toxicity Studies of PRINT Hydrogel Nanoparticles in Mosquito Larvae and Cells
Creators: name: Beaty, Barry J.
name: Xu, Jing
name: Perry, Jillian L.
name: Paquette, Cynthia C. H.
name: Phanse, Yashdeep
name: Luft, J. Christopher
name: Carlson, Jonathan O.
name: Airs, Paul M.
name: Dunphy, Brendan M.
name: Bartholomay, Lyric C.
name: DeSimone, Joseph M.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2015

description: Mosquito-borne diseases continue to remain major threats to human and animal health and impediments to socioeconomic development. Increasing mosquito resistance to chemical insecticides is a great public health concern, and new strategies/technologies are necessary to develop the next-generation of vector control tools. We propose to develop a novel method for mosquito control that employs nanoparticles (NPs) as a platform for delivery of mosquitocidal dsRNA molecules to silence mosquito genes and cause vector lethality. Identifying optimal NP chemistry and morphology is imperative for efficient mosquitocide delivery. Toward this end, fluorescently labeled polyethylene glycol NPs of specific sizes, shapes (80 nm x 320 nm, 80 nm x 5000 nm, 200 nm x 200 nm, and 1000 nm x 1000 nm) and charges (negative and positive) were fabricated by Particle Replication in Non-Wetting Templates (PRINT) technology. Biodistribution, persistence, and toxicity of PRINT NPs were evaluated in vitro in mosquito cell culture and in vivo in Anopheles gambiae larvae following parenteral and oral challenge. Following parenteral challenge, the biodistribution of the positively and negatively charged NPs of each size and shape was similar; intense fluorescence was observed in thoracic and abdominal regions of the larval body. Positively charged NPs were more associated with the gastric caeca in the gastrointestinal tract. Negatively charged NPs persisted through metamorphosis and were observed in head, body and ovaries of adults. Following oral challenge, NPs were detected in the larval mid- and hindgut. Positively charged NPs were more efficiently internalized in vitro than negatively charged NPs. Positively charged NPs trafficked to the cytosol, but negatively charged NPs co-localized with lysosomes. Following in vitro and in vivo challenge, none of the NPs tested induced any cytotoxic effects.
Symmetry-Aware Autoencoders: s-PCA and s-nlPCA
Creators: name: Kneer, Simon
name: Sayadi, Taraneh
name: Sipp, Denis
name: Schmid, Peter
name: Rigas, Georgios
Publisher: name: arXiv
Year: 2021
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Machine Learning (cs.LG)
subject: Dynamical Systems (math.DS)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: I.2.10
subject: 37E99

description: Nonlinear principal component analysis (NLPCA) via autoencoders has attracted attention in the dynamical systems community due to its larger compression rate when compared to linear principal component analysis (PCA). These model reduction methods experience an increase in the dimensionality of the latent space when applied to datasets that exhibit invariant samples due to the presence of symmetries. In this study, we introduce a novel machine learning embedding for autoencoders, which uses Siamese networks and spatial transformer networks to account for discrete and continuous symmetries, respectively. The Siamese branches autonomously find a fundamental domain to which all samples are transformed, without introducing human bias. The spatial transformer network discovers the optimal slicing template for continuous translations so that invariant samples are aligned in the homogeneous direction. Thus, the proposed symmetry-aware autoencoder is invariant to predetermined input transformations. This embedding can be employed with both linear and nonlinear reduction methods, which we term symmetry-aware PCA (s-PCA) and symmetry-aware NLPCA (s-NLPCA). We apply the proposed framework to the Kolmogorov flow to showcase the capabilities for a system exhibiting both a continuous symmetry as well as discrete symmetries.
description: 12 pages, 8 Figures, 2 Tables
Quickest Inference of Network Cascades with Noisy Information
Creators: name: Sridhar, Anirudh
name: Poor, H. Vincent
Publisher: name: arXiv
Year: 2021
Subjects: subject: Statistics Theory (math.ST)
subject: Information Theory (cs.IT)
subject: Social and Information Networks (cs.SI)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: We study the problem of estimating the source of a network cascade given a time series of noisy information about the spread. Initially, there is a single vertex affected by the cascade (the source) and the cascade spreads in discrete time steps across the network. The cascade evolution is hidden, but one can observe a time series of noisy signals from each vertex. The time series of a vertex is assumed to be a sequence of i.i.d. samples from a pre-change distribution $Q_0$ before the cascade affects the vertex, and the time series is a sequence of i.i.d. samples from a post-change distribution $Q_1$ once the cascade has affected the vertex. Given the time series of noisy signals, which can be viewed as a noisy measurement of the cascade evolution, we aim to devise a procedure to reliably estimate the cascade source as fast as possible. We investigate Bayesian and minimax formulations of the source estimation problem, and derive near-optimal estimators for simple cascade dynamics and network topologies. In the Bayesian setting, an estimator which observes samples until the error of the Bayes-optimal estimator falls below a threshold achieves optimal performance. In the minimax setting, optimal performance is achieved by designing a novel multi-hypothesis sequential probability ratio test (MSPRT). We find that these optimal estimators require $\log \log n / \log (k - 1)$ observations of the noisy time series when the network topology is a $k$-regular tree, and $(\log n)^{\frac{1}{\ell + 1}}$ observations are required for $\ell$-dimensional lattices. Finally, we discuss how our methods may be extended to cascades on arbitrary graphs.
description: 55 pages, 6 figures. To appear in the IEEE Transactions on Information Theory
Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain Reasoning
Creators: name: Jin, Weiqiang
name: Zhao, Biao
name: Yu, Hang
name: Tao, Xi
name: Yin, Ruiping
name: Liu, Guizhong
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Knowledge Graph Question Answering (KGQA) aims to answer user-questions from a knowledge graph (KG) by identifying the reasoning relations between topic entity and answer. As a complex branch task of KGQA, multi-hop KGQA requires reasoning over the multi-hop relational chain preserved in KG to arrive at the right answer. Despite recent successes, the existing works on answering multi-hop complex questions still face the following challenges: i) The absence of an explicit relational chain order reflected in user-question stems from a misunderstanding of a user's intentions. ii) Incorrectly capturing relational types on weak supervision of which dataset lacks intermediate reasoning chain annotations due to expensive labeling cost. iii) Failing to consider implicit relations between the topic entity and the answer implied in structured KG because of limited neighborhoods size constraint in subgraph retrieval-based algorithms.To address these issues in multi-hop KGQA, we propose a novel model herein, namely Relational Chain based Embedded KGQA (Rce-KGQA), which simultaneously utilizes the explicit relational chain revealed in natural language question and the implicit relational chain stored in structured KG. Our extensive empirical study on three open-domain benchmarks proves that our method significantly outperforms the state-of-the-art counterparts like GraftNet, PullNet and EmbedKGQA. Comprehensive ablation experiments also verify the effectiveness of our method on the multi-hop KGQA task. We have made our model's source code available at github: https://github.com/albert-jin/Rce-KGQA.
description: 38 pages, 5 figures; about 67 references
Higher Rank Numerical Ranges and Unitary Dilations
Creators: name: Dey, Pankaj
name: Mukherjee, Mithun
Publisher: name: arXiv
Year: 2021
Subjects: subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 47A12, 47A20, 15A60, 81P68

description: Here we show that for $k\in \mathbb N,$ the closure of the $k$-rank numerical range of a contraction $A$ acting on an infinite-dimensional Hilbert space $\mathcal{H}$ is the intersection of the closure of the $k$-rank numerical ranges of all unitary dilations of $A$ to $\mathcal{H}\oplus\mathcal{H}.$ The same is true for $k=\infty$ provided the $\infty$-rank numerical range of $A$ is non-empty. These generalize a finite dimensional result of Gau, Li and Wu. We also show that when both defect numbers of a contraction are equal and finite ($=N$), one may restrict the intersection to a smaller family consisting of all unitary $N$-dilations. A result of {Bercovici and Timotin} on unitary $N$-dilations is used to prove it. Finally, we have investigated the same problem for the $C$-numerical range and obtained the answer in negative.
description: 15 pages; Published in Adv. Oper. Theory 7, 56 (2022). Title is changed to "Generalized Halmos Conjectures and Constrained Unitary Dilations". In this published version, section 5 is the new addition. Based on the referee report, more examples are given in section 6
Universal construction of genuinely entangled subspaces of any size
Creators: name: Demianowicz, Maciej
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We put forward a simple construction of genuinely entangled subspaces -- subspaces supporting only genuinely multipartite entangled states -- of any permissible dimensionality for any number of parties and local dimensions. The method uses nonorthogonal product bases, which are built from totally nonsingular matrices with a certain structure. We give an explicit basis for the constructed subspaces. An immediate consequence of our result is the possibility of constructing in the general multiparty scenario genuinely multiparty entangled mixed states with ranks up to the maximal dimension of a genuinely entangled subspace.
description: accepted in Quantum
Stabilizing the Laughlin state of light: dynamics of hole fractionalization
Creators: name: Kurilovich, Pavel D.
name: Kurilovich, Vladislav D.
name: Lebreuilly, José
name: Girvin, S. M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Particle loss is the ultimate challenge for preparation of strongly correlated many-body states of photons. An established way to overcome the loss is to employ a stabilization setup that autonomously injects new photons in place of the lost ones. However, as we show, the effectiveness of such a stabilization setup is compromised for fractional quantum Hall states. There, a hole formed by a lost photon can separate into several remote quasiholes none of which can be refilled by injecting a photon locally. By deriving an exact expression for the steady-state density matrix, we demonstrate that isolated quasiholes proliferate in the steady state which damages the quality of the state preparation. The motion of quasiholes leading to their separation is allowed by a repeated process in which a photon is first lost and then quickly refilled in the vicinity of the quasihole. We develop the theory of this dissipative quasihole dynamics and show that it has diffusive character. Our results demonstrate that fractionalization might present an obstacle for both creation and stabilization of strongly-correlated states with photons.
description: 36 pages, 6 figures. SciPost resubmission
Acoustic Cloak Design via Machine Learning
Creators: name: Tran, Thang
name: Amirkulova, Feruza
name: Khatami, Ehsan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Classical Physics (physics.class-ph)
subject: FOS: Physical sciences

description: Acoustic metamaterials are engineered microstructures with special mechanical and acoustic properties enabling exotic effects such as wave steering, focusing and cloaking. The design of acoustic cloaks using scattering cancellation has traditionally involved the optimization of metamaterial structure based on direct computer simulations of the total scattering cross section (TSCS) for a large number of configurations. Here, we work with sets of cylindrical objects confined in a region of space and use machine learning methods to streamline the design of 2D configurations of scatterers with minimal TSCS demonstrating cloaking effect at discrete sets of wavenumbers. After establishing that artificial neural networks are capable of learning the TSCS based on the location of cylinders, we develop an inverse design algorithm, combining variational autoencoders and the Gaussian process, for predicting optimal arrangements of scatterers given the TSCS. We show results for up to eight cylinders and discuss the efficiency and other advantages of the machine learning approach.
description: 17 pages, 9 figures
Дополнительные материалы
Creators: name: Meshkov, Ivan
Publisher: name: figshare
Year: 2025
Subjects: classificationCode: 310299
subject: Bioinformatics and computational biology not elsewhere classified

description: Дополнительные материалы к статье "Возраст-ассоциированные изменения характеристик свободно циркулирующей ДНК: полногеномный анализ"
Gallup Poll # 1999-03
Creators: name: Gallup Canada, Inc.
Publisher: name: Roper Center for Public Opinion Research
Year: 2019

description: Federal election(2) Chretien job approval(1) direction of country(1) federal budget(1) Canadian economy(1) personal financial situation(1) honesty and ethical standards of people(15) youth criminal justice act(6) legalization of marijuana(2) language spoken(1) religion(1).
Quantifying fermionic nonlinearity of quantum circuits
Creators: name: Hakkaku, Shigeo
name: Tashima, Yuichiro
name: Mitarai, Kosuke
name: Mizukami, Wataru
name: Fujii, Keisuke
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Variational quantum algorithms (VQAs) have been proposed as one of the most promising approaches to demonstrate quantum advantage on noisy intermediate-scale quantum (NISQ) devices. However, it has been unclear whether VQAs can maintain quantum advantage under the intrinsic noise of the NISQ devices, which deteriorates the quantumness. Here we propose a measure, called fermionic nonlinearity, to quantify the classical simulatability of quantum circuits designed for simulating fermionic Hamiltonians. Specifically, we construct a Monte Carlo type classical algorithm based on the classical simulatability of fermionic linear optics, whose sampling overhead is characterized by the fermionic nonlinearity. As a demonstration of these techniques, we calculate the upper bound of the fermionic nonlinearity of a rotation gate generated by four fermionic modes under the dephasing noise. Moreover, we estimate the sampling costs of the unitary coupled cluster singles and doubles quantum circuits for hydrogen chains subject to the dephasing noise. We find that, depending on the error probability and atomic spacing, there are regions where the fermionic nonlinearity becomes very small or unity, and hence the circuits are classically simulatable. We believe that our method and results help to design quantum circuits for fermionic systems with potential quantum advantages.
description: 10 pages, 4 figures. v4: minor corrections, published version
Large scale fire test: Travelling fire with flashover under ventilation conditions and its influence on the surroundings steel structure
Creators: name: Nadjai, Ali
name: Alam, Naveed
name: Charlier, Marion
name: Vassart, Olivier
name: Franssen, Jean-Marc
name: Welch, Stephen
name: Sjostrom, Johan
Publisher: name: figshare
Year: 2023
Subjects: Fire safety engineering

description: In the frame of the European RFCS-TRAFIR project, different natural fire tests in large compartment were conducted by Ulster University, involving steel structure and aiming at understanding the conditions in which a travelling fire develops, how it behaves and impacts the surrounding structure. During the experimental programme, the path and geometry of the travelling fire was studied and temperatures, heat fluxes and spread rates were measured. This paper presents the selected experimental data from the third fire test in terms of gas temperatures recorded in the test compartment at different positions and levels. The paper also presents the influence of the traveling fire with flashover on the surrounding structure via temperatures recorded in the selected steel columns and beams. The temperatures in the test compartment were found to be dependent on the positioning of the travelling fire as well as on the height from the floor level. It was found that the non-uniform temperatures in the compartment lead to transient heating of the nearby structural steel elements which is different from a standard furnace test. These non-uniform elevated temperatures result in a reduction of the fire resistance of the structural elements which may influence the global stability of the structure. The results obtained during the test and lessons learnt will help to understand the behaviour of the travelling fires and their influence on the structural members. This knowledge will help to reduce the travelling fire associated risks in future.
State diagram for continuous quasi-one dimensional systems in optical lattices
Creators: name: Carbonell-Coronado, C.
name: De Soto, F.
name: Gordillo, M. C.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We studied the appearance of Mott insulator domains of hard sphere bosons on quasi one-dimensional optical lattices when an harmonic trap was superimposed along the main axis of the system. Instead of the standard approximation represented by the Bose-Hubbard model, we described those arrangements by continuous Hamiltonians that depended on the same parameters as the experimental setups. We found that for a given trap the optical potential depth, $V_0$, needed to create a single connected Mott domain decreased with the number of atoms loaded on the lattice. If the confinement was large enough, it reached a minimum when, in absence of any optical lattice, the atom density at the center of the trap was the equivalent of one particle per optical well. For larger densities, the creation of that single domain proceeded via an intermediate shell structure in which Mott domains alternated with superfluid ones.
description: 9 figures
MPEC 2023-R44 : 2023 RX
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2023
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2023 RX

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
Canadian Gallup Poll # 1999-08: Politics/Health Care/Death Penalty
Creators: name: Gallup Canada, Inc.
Publisher: name: Roper Center for Public Opinion Research
Year: 2020

description: Federal election (2); Jean Chretion job performance (1); job security (2); Canada's health care system (5); referendum for death penalty (4); Canadian "brain drain" (2); high speed police chases (3).
AirObject: A Temporally Evolving Graph Embedding for Object Identification
Creators: name: Keetha, Nikhil Varma
name: Wang, Chen
name: Qiu, Yuheng
name: Xu, Kuan
name: Scherer, Sebastian
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Object encoding and identification are vital for robotic tasks such as autonomous exploration, semantic scene understanding, and re-localization. Previous approaches have attempted to either track objects or generate descriptors for object identification. However, such systems are limited to a "fixed" partial object representation from a single viewpoint. In a robot exploration setup, there is a requirement for a temporally "evolving" global object representation built as the robot observes the object from multiple viewpoints. Furthermore, given the vast distribution of unknown novel objects in the real world, the object identification process must be class-agnostic. In this context, we propose a novel temporal 3D object encoding approach, dubbed AirObject, to obtain global keypoint graph-based embeddings of objects. Specifically, the global 3D object embeddings are generated using a temporal convolutional network across structural information of multiple frames obtained from a graph attention-based encoding method. We demonstrate that AirObject achieves the state-of-the-art performance for video object identification and is robust to severe occlusion, perceptual aliasing, viewpoint shift, deformation, and scale transform, outperforming the state-of-the-art single-frame and sequential descriptors. To the best of our knowledge, AirObject is one of the first temporal object encoding methods. Source code is available at https://github.com/Nik-V9/AirObject.
description: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Chemotherapy of Second Stage Human African Trypanosomiasis: Comparison between the Parenteral Diamidine DB829 and Its Oral Prodrug DB868 in Vervet Monkeys
Creators: name: Bridges, Arlene S.
name: Jones, Susan K.
name: Liu, Qiang
name: Wang, Michael Z.
name: Tidwell, Richard R.
name: Wolf, Kristina K.
name: Brun, Reto
name: Murilla, Grace A.
name: Ching, Shelley
name: Paine, Mary F.
name: Boykin, David W.
name: Thuita, John K.
name: Gem, Charles O.
name: Mutuku, James N.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2015

description: Human African trypanosomiasis (HAT, sleeping sickness) ranks among the most neglected tropical diseases based on limited availability of drugs that are safe and efficacious, particularly against the second stage (central nervous system [CNS]) of infection. In response to this largely unmet need for new treatments, the Consortium for Parasitic Drug Development developed novel parenteral diamidines and corresponding oral prodrugs that have shown cure of a murine model of second stage HAT. As a rationale for selection of one of these compounds for further development, the pharmacokinetics and efficacy of intramuscular (IM) active diamidine 2,5-bis(5-amidino-2-pyridyl)furan (DB829; CPD-0802) and oral prodrug2,5-bis[5-(N-methoxyamidino)-2-pyridyl]furan (DB868) were compared in the vervet monkey model of second stage HAT. Treatment was initiated 28 days post-infection of monkeys with T. b. rhodesiense KETRI 2537. Results showed that IM DB829 at 5 mg/kg/day for 5 consecutive days, 5 mg/kg/day every other day for 5 doses, or 2.5 mg/kg/day for 5 consecutive days cured all monkeys (5/5). Oral DB868 was less successful, with no cures (0/2) at 3 mg/kg/day for 10 days and cure rates of 1/4 at 10 mg/kg/day for 10 days and 20 mg/kg/day for 10 days; in total, only 2/10 monkeys were cured with DB868 dose regimens. The geometric mean plasma Cmax of IM DB829 at 5 mg/kg following the last of 5 doses was 25-fold greater than that after 10 daily oral doses of DB868 at 20 mg/kg. These data suggest that the active diamidine DB829, administered IM, should be considered for further development as a potential new treatment for second stage HAT.
MPEC 2023-R45 : 2023 RW
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2023
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2023 RW

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
STAGES OF THE DEVELOPMENT OF THE SOCIAL PROTECTION SYSTEM OF UZBEKISTAN, THE SOCIAL PROTECTION SYSTEM OF NEW UZBEKISTAN
Creators: name: Kuramboyev, Alisher
Publisher: name: Zenodo
Year: 2023

description: This article reflects on the mistakes made in the field of social policy during the former Soviet regime and the reforms that have been implemented in the social field since the first years of our independence. Also, comments were given on the efforts being made to protect society members, ensure stability in the country, and glorify people. The article pays attention to the rational policy of the leader of our country, Shavkat Mirziyoyev, who strives for the priority of humanity, tolerance, and justice.
Adaptive label thresholding methods for online multi-label classification
Creators: name: Zhai, Tingting
name: Tang, Hongcheng
name: Wang, Hao
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Existing online multi-label classification works cannot well handle the online label thresholding problem and lack the regret analysis for their online algorithms. This paper proposes a novel framework of adaptive label thresholding algorithms for online multi-label classification, with the aim to overcome the drawbacks of existing methods. The key feature of our framework is that both scoring and thresholding models are included as important components of the online multi-label classifier and are incorporated into one online optimization problem. Further, in order to establish the relationship between scoring and thresholding models, a novel multi-label classification loss function is derived, which measures to what an extent the multi-label classifier can distinguish between relevant labels and irrelevant ones for an incoming instance. Based on this new framework and loss function, we present a first-order linear algorithm and a second-order one, which both enjoy closed form update, but rely on different techniques for updating the multi-label classifier. Both algorithms are proved to achieve a sub-linear regret. Using Mercer kernels, our first-order algorithm has been extended to deal with nonlinear multi-label prediction tasks. Experiments show the advantage of our linear and nonlinear algorithms, in terms of various multi-label performance metrics.
description: 31 pages, 2 figures
Spinning Particle in Gravitational Field of Black Hole Involving Global Monopole
Creators: name: Huang, Qihong
name: Chen, Juhua
name: Wang, Yongjiu
Publisher: name: arXiv
Year: 2014
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In this paper we study the dynamics of trajectory of a spinning particle in a Schwarzschild spacetime involving a global monopole. We set up the equations of motion and find three types of trajectories. We study the conditions that a spinning particle, originally moving in the innermost stable circular orbit around the black hole involving a global monopole, will escape to infinity after it is kicked by another particle or photon. Three types of trajectories of a spinning particle in a Schwarzschild spacetime involving a global monopole are simulated in detail and the escaping energy and velocity of the spinning particle is also obtained in the present paper.
description: 13 Pages, 6 Figures. Appears in Int J Theor Phys. 2014