May 2023 arXiv papers — page 178

V. Prokofev, A. Zabrodin

Some identities that involve the elliptic version of the Cauchy matrices are presented and proved. They include the determinant formula, the formula for the inverse matrix, the matrix product identity and the factorization formula.

Luis Morales-Navarro, Deborah A. Fields, Michael Giang, Yasmin B Kafai

Debugging, finding and fixing bugs in code, is a heterogeneous process that shapes novice learners' self-beliefs and motivation in computing. Our Debugging by Design intervention (DbD) provocatively puts students in control over bugs by having them collaborate on designing creative buggy projects during an electronic textiles unit in an introductory comp

Gaëtan Fournier, Alberto Grillo, Yevgeny Tsodikovich

We study candidates' positioning when adjustments are possible in response to new information about voters' preferences. Re-positioning allows candidates to get closer to the median voter but is costly both financially and electorally. We examine the occurrence and the direction of the adjustments depending on the ex-ante positions and the new inform

Andrzej Dorobisz, Jakub Kozik

We investigate local computation algorithms (LCA) for two-coloring of $k$-uniform hypergraphs. We focus on hypergraph instances that satisfy strengthened assumption of the Lovász Local Lemma of the form $2^{1-αk} (Δ+1) \mathrm{e} < 1$, where $Δ$ is the bound on the maximum edge degree. The main question which arises here is for how large $α$ there exists an

Carlo Alberto Cremonini

This note aims at clarifying some mathematical aspects of what is known in Physics as \emph{Picture Changing Operator} (PCO). In particular, we want to show that PCOs are chain maps between the complex of differential forms (or superforms) and the complex of integral forms on a given supermanifold. We comment on the construction of (super)symmetric PCOs in t

Benjamin Cooper, You Qi, Joshua Sussan

We construct differential graded enhancements of the zigzag algebras which were used by Khovanov, Seidel and Thomas to produce categorical braid group actions. These enhancements are related to $p$-differential graded structures by a version of Koszul duality. We prove that the minimal model $A_\infty$-structure on the zigzag algebras is {\em not} formal. We

Qamar Bader, Sharief Saleh, Mohamed Elhabiby, Aboelmagd Noureldin

5G-based mmWave wireless positioning has emerged as a promising solution for autonomous vehicle (AV) positioning in recent years. Previous studies have highlighted the benefits of fusing a line-of-sight (LoS) 5G positioning solution with an Inertial Navigation System (INS) for an improved positioning solution. However, the highly dynamic environment of urban

P. Chanfreut, J. M. Maestre, D. Krishnamoorthy, E. F. Camacho

This article presents a distributed model predictive controller with time-varying partitioning based on the augmented Lagrangian alternating direction inexact Newton method (ALADIN). In particular, we address the problem of controlling the temperature of a heat transfer fluid (HTF) in a set of loops of solar parabolic collectors by adjusting its flow rate. T

Yuanyuan Liu, Haoyu Zhang, Yibing Zhan, Zijing Chen

Multimodal emotion recognition identifies human emotions from various data modalities like video, text, and audio. However, we found that this task can be easily affected by noisy information that does not contain useful semantics. To this end, we present a novel paradigm that attempts to extract noise-resistant features in its pipeline and introduces a nois

Diogo Nunes Goncalves, Jose Marcato Junior, Pedro Zamboni, Hemerson Pistori

Multi-task learning has proven to be effective in improving the performance of correlated tasks. Most of the existing methods use a backbone to extract initial features with independent branches for each task, and the exchange of information between the branches usually occurs through the concatenation or sum of the feature maps of the branches. However, thi

Anton A. Kutsenko

It is known that the left tail asymptotic for supercritical branching processes in the Schröder case satisfies a power law multiplied by some multiplicatively periodic function. We provide an explicit expression for this periodic function.

Ghazi Felhi

In this thesis, we develop methods to enhance the interpretability of recent representation learning techniques in natural language processing (NLP) while accounting for the unavailability of annotated data. We choose to leverage Variational Autoencoders (VAEs) due to their efficiency in relating observations to latent generative factors and their effectiven

Alina Dobrogowska, Grzegorz Jakimowicz

We present a new look at description of real finite-dimensional Lie algebras. The basic element turns out to be a pair $(F,v)$ consisting of a linear mapping $F\in End(V)$ and its eigenvector $v$. This pair allows to build a Lie bracket on a dual space to a linear space $V$. This algebra is solvable. In particular, when $F$ is nilpotent, the Lie algebra is a

Abdullah Cihan Ak, Eren Erdal Aksoy, Sanem Sariel

Robots are more capable of achieving manipulation tasks for everyday activities than before. But the safety of manipulation skills that robots employ is still an open problem. Considering all possible failures during skill learning increases the complexity of the process and restrains learning an optimal policy. Beyond that, in unstructured environments, it

Qipeng Wang, Liang Liu, Shuowen Zhang, Boya Di

In the future 6G integrated sensing and communication (ISAC) cellular systems, networked sensing is a promising technique that can leverage the cooperation among the base stations (BSs) to perform high-resolution localization. However, a dense deployment of BSs to fully reap the networked sensing gain is not a cost-efficient solution in practice. Motivated b

A. V. Timoshkin, A. V. Yurov

We consider the Little Rip (LR), Pseudo Rip (PR) and bounce cosmological models in the Friedmann-Robertson-Walker (FRW) metric with nonzero spatial curvature. We describe the evolution of the universe using a generalized equation of state in the presence of a viscous fluid. The conditions of the occurrence of the LR, PR and bounce were obtained from the poin

Jiangqi Mao, Houmin Du, Yuliang Liu

Based on the algebraic equation of motion (AEOM) method, we investigate the transport properties of a quantum dot. We obtain an analytical expression for the dot electron single-particle Green&#39;s function, and based on this expression, we plot the dot electron density of states under different biases. We find that the Kondo resonance splits and is suppres

Ioannis Kleftogiannis, Ilias Amanatidis

We demonstrate that quantum correlations can emerge from the statistical correlations of random discrete models, without an a priori assumption that the random models are quantum mechanical in nature, that is without considering superpositions of the random structures. We investigate the correlations between the number of neighbors(degree) for pairs of verti

Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou

Recently, DeepNorm scales Transformers into extremely deep (i.e., 1000 layers) and reveals the promising potential of deep scaling. To stabilize the training of deep models, DeepNorm (Wang et al., 2022) attempts to constrain the model update to a constant value. Although applying such a constraint can benefit the early stage of model training, it may lead to

Stefano Galanda, Albert Much, Rainer Verch

The relative entropy of certain states on the algebra of canonical anticommutation relations (CAR) is studied in the present work. The CAR algebra is used to describe fermionic degrees of freedom in quantum mechanics and quantum field theory. The states for which the relative entropy is investigated are multi-excitation states (similar to multi-particle stat

Matthias Rempel, Tanayveer Bhatia, Luis Bellot Rubio, Maarit J. Korpi-Lagg

In this article we review small-scale dynamo processes that are responsible for magnetic field generation on scales comparable to and smaller than the energy carrying scales of turbulence. We provide a review of critical observation of quiet Sun magnetism, which have provided strong support for the operation of a small-scale dynamo in the solar photosphere a

Malte Röntgen, Olivier Richoux, Georgios Theocharis, Christian V. Morfonios

We explore the scattering of waves in designed asymmetric one-dimensional waveguide networks. We show that the reflection between two ports of an asymmetric network can be identical over a broad frequency range, as if the network was mirror-symmetric, under the condition of so-called latent symmetry between the ports. This broadband equireflectionality is va

Alessandro Morando, Paolo Secchi, Paola Trebeschi, Difan Yuan

We are concerned with nonlinear stability and existence of two-dimensional current-vortex sheets in ideal compressible magnetohydrodynamics. This is a nonlinear hyperbolic initial-boundary value problem with characteristic free boundary. It is well-known that current-vortex sheets may be at most weakly (neutrally) stable due to the existence of surface waves

Aoling Zeng

A large-scale dynamic network (LDN) is a source of data in many big data-related applications due to their large number of entities and large-scale dynamic interactions. They can be modeled as a high-dimensional incomplete (HDI) tensor that contains a wealth of knowledge about time patterns. A Latent factorization of tensors (LFT) model efficiently extracts

Guanhui Ye, Jiashi Gao, Yuchen Wang, Liyan Song

Robust watermarking tries to conceal information within a cover image/video imperceptibly that is resistant to various distortions. Recently, deep learning-based approaches for image watermarking have made significant advancements in robustness and invisibility. However, few studies focused on video watermarking using deep neural networks due to the high com

Fandi Oktasendra, Arben Jusufi, Andrew R. Konicek, Mohsen S. Yeganeh

We develop and harness a phase field simulation method to study liquid filling on grooved surfaces. We consider both short-range and long-range liquid-solid interactions, with the latter including purely attractive and repulsive interactions, as well as those with short-range attraction and long-range repulsion. This allows us to capture complete, partial an

E. A. Brylyakova, S. A. Tyul&#39;bashev

The paper presents the verification of previously published fast radio bursts (FRB) from the work of V.A. Fedorova and A.E. Rodin, detected in the monitoring data of the Large Phased Array (LPA) radio telescope using a search algorithm based on the convolution of data with a scattered pulse pattern. The same 6-channel data (channel width 415 kHz) were used f

Yosef Ashkenazy, Ittai Kurzon, Eitan Asher

Earthquakes are a major threat to nations worldwide. Earthquake detection is an important scientific challenge, not only for its social impacts, but also since it reflects the actual degree of understanding of the physical processes controlling seismic events. We propose an approach for evaluating and understanding the dynamics of seismic events. The approac

Ziyu Zhou, Gang Wang, Jian Sun, Jikai Wang

Agile quadrotor flight relies on rapidly planning and accurately tracking time-optimal trajectories, a technology critical to their application in the wild. However, the computational burden of computing time-optimal trajectories based on the full quadrotor dynamics (typically on the order of minutes or even hours) can hinder its ability to respond quickly t

Fares Essebei, Enrico Pasqualetto

Given a locally compact, complete metric space $({\rm X},{\sf D})$ and an open set $Ω\subseteq{\rm X}$, we study the class of length distances $\sf d$ on $Ω$ that are bounded from above and below by fixed multiples of the ambient distance $\sf D$. More precisely, we prove that the uniform convergence on compact sets of distances in this class is equivalent t

Shauvik Biswas, Chiranjeeb Singha

We find static fluid solutions of Einstein and pure Lovelock equations with $p_r=0$, $p_t=kρ$, which could be possible models for the interior of a Buchdahl-like star. Buchdahl star is a limiting stellar configuration without a horizon whose formation does not need any exotic matter.

Nicolai Reshetikhin, Jasper Stokman

In this paper we construct certain quantum spin systems on moduli spaces of $G$-connections on a connected oriented finite graph, with $G$ a simply connected compact Lie group. We construct joint eigenfunctions of the commuting quantum Hamiltonians in terms of local invariant tensors. We determine sufficient conditions ensuring superintegrability of the quan

Bharat Kumar, Deepmala, A. K. Das

In this article, we establish a class of new accelerated modulus-based iteration methods for solving the linear complementarity problem. When the system matrix is an $H_+$-matrix, we present appropriate criteria for the convergence analysis. Also, we demonstrate the effectiveness of our proposed method and reduce the number of iterations and CPU time to acce

Vageesh Saxena, Nils Rethmeier, Gijs Van Dijck, Gerasimos Spanakis

The anonymity on the Darknet allows vendors to stay undetected by using multiple vendor aliases or frequently migrating between markets. Consequently, illegal markets and their connections are challenging to uncover on the Darknet. To identify relationships between illegal markets and their vendors, we propose VendorLink, an NLP-based approach that examines

Xuhao Jiang, Weimin Tan, Qing Lin, Chenxi Ma

In recent years, many convolutional neural network-based models are designed for JPEG artifacts reduction, and have achieved notable progress. However, few methods are suitable for extreme low-bitrate image compression artifacts reduction. The main challenge is that the highly compressed image loses too much information, resulting in reconstructing high-qual

Gusti van Zyl

We consider the problem of finding the maximum of $\mathbb{E}_ν[f(X)]$ where $ν$ is allowed to vary over all the probability measures on a Polish space $S$ for which $d_c(μ,ν)\leq θ$, in which $d_c$ is an optimal transport distance, $f$ a real-valued function on $S$ satisfying some regularity, $μ$ a ``baseline&#34; measure and $θ\geq 0$. Whereas some of the

Joanna D. Sakowska, Noelia E. D. Noël, Tomás Ruiz-Lara, Carme Gallart

We present the spatially resolved star formation history (SFH) of a shell-like structure located in the northeastern Small Magellanic Cloud (SMC). We quantitatively obtain the SFH using unprecedented deep photometric data (g~24 magnitude) from the SMASH survey and colour-magnitude diagram (CMD) fitting techniques. We consider, for the first time, the SMC&#39

Tiehong Zhao, Miaokun Wang

We present a new lower bound for Euler&#39;s beta function, $B(x,y)$, which states that the inequality \begin{equation*} B(x,y)>\frac{x+y}{xy}\left(1-\frac{2xy}{x+y+1}\right) \end{equation*} holds on $(0,1]\times(0,1]$, which improves a lower bound obtained by P. Ivády [12, Theorem, (3.2)] in the case of $0<x+y<1$.

Gabor Zavodszky, Christian Spieker, Benjamin Czaja, Britt van Rooij

Many of the intriguing properties of blood originate from its cellular nature. Bulk effects, such as viscosity, depend on the local shear rates and on the size of the vessels. While empirical descriptions of bulk rheology are available for decades, their validity is limited to the experimental conditions they were observed under. These are typically artifici

Haoyu Gao, Rui Wang, Ting-En Lin, Yuchuan Wu

Dialogue Topic Segmentation (DTS) plays an essential role in a variety of dialogue modeling tasks. Previous DTS methods either focus on semantic similarity or dialogue coherence to assess topic similarity for unsupervised dialogue segmentation. However, the topic similarity cannot be fully identified via semantic similarity or dialogue coherence. In addition

Eran Dahan, Yosi Keller

In this work, we study face verification in datasets where images of the same individuals exhibit significant age differences. This poses a major challenge for current face recognition and verification techniques. To address this issue, we propose a novel approach that utilizes multitask learning and a Wasserstein distance discriminator to disentangle age an

Ferhat Ozgur Catak, Umit Cali, Murat Kuzlu, Salih Sarp

With the rise of intelligent applications, such as self-driving cars and augmented reality, the security and reliability of wireless communication systems have become increasingly crucial. One of the most critical components of ensuring a high-quality experience is channel estimation, which is fundamental for efficient transmission and interference managemen

Hirdesh Kumar, Brajesh Kumar, S. P. Rajaguru

Gravity waves are generated by turbulent subsurface convection overshooting or penetrating locally into a stably stratified medium. While propagating energy upwards, their characteristic negative phase shift over height is a well-recognized observational signature. Since their first detailed observational detection and estimates of energy content, a number o

Nardine Osman, Mark d&#39;Inverno

One of the major challenges we face with ethical AI today is developing computational systems whose reasoning and behaviour are provably aligned with human values. Human values, however, are notorious for being ambiguous, contradictory and ever-changing. In order to bridge this gap, and get us closer to the situation where we can formally reason about implem

Gil Marques, Marco Martins Afonso, Sílvio Gama

We present a novel method for estimating the circulations and positions of point vortices using trajectory data of passive particles in the presence of Gaussian noise. The method comprises two algorithms: the first one calculates the vortex circulations, while the second one reconstructs the vortex trajectories. This reconstruction is done thanks to a hierar

Minjia Shi, Xiaoxiao Li, Denis S. Krotov, Ferruh Özbudak

The Galois ring GR$(4^Δ)$ is the residue ring $Z_4[x]/(h(x))$, where $h(x)$ is a basic primitive polynomial of degree $Δ$ over $Z_4$. For any odd $Δ$ larger than $1$, we construct a partition of GR$(4^Δ) \backslash \{0\}$ into $6$-subsets of type $\{a,b,-a-b,-a,-b,a+b\}$ and $3$-subsets of type $\{c,-c,2c\}$ such that the partition is invariant under the mul

Lauritz Streck

In this paper, it is shown that for every lattice $Γ\subset PSL_2(\mathbb{R})$ there exists a $c>0$ such that for any $0 \leq γ<c$ the sequence $p h(n^{1+γ})$ equidistributes for any $p \in Γ\backslash PSL_2(\mathbb{R})$, where $h$ is the horocycle flow. This makes modest progress towards a conjecture of Shah and generalizes a result of Venkatesh (arXiv:math

Alex Iacob, Pedro P. B. Gusmão, Nicholas D. Lane

Federated Learning (FL) enables training ML models on edge clients without sharing data. However, the federated model&#39;s performance on local data varies, disincentivising the participation of clients who benefit little from FL. Fair FL reduces accuracy disparity by focusing on clients with higher losses while personalisation locally fine-tunes the model.

Yossi Bokor Bleile

In this paper, we consider a simple class of stratified spaces -- 2-complexes. We present an algorithm that learns the abstract structure of an embedded 2-complex from a point cloud sampled from it. We use tools and inspiration from computational geometry, algebraic topology, and topological data analysis and prove the correctness of the identified abstract

Bengisu Cagiltay, Bilge Mutlu, Margaret Kerr

In this work, we discuss a theoretically motivated family-centered design approach for child-robot interactions, adapted by Family Systems Theory (FST) and Family Ecological Model (FEM). Long-term engagement and acceptance of robots in the home is influenced by factors that surround the child and the family, such as child-sibling-parent relationships and fam

Bengisu Cagiltay, Bilge Mutlu, Joseph E Michaelis

We aim to design robotic educational support systems that can promote socially and intellectually meaningful learning experiences for students while they complete school work outside of class. To pursue this goal, we conducted participatory design studies with 10 children (aged 10--12) to explore their design needs for robot-assisted homework. We investigate

Sai Zhang, Yuwei Hu, Xiaojie Wang, Caixia Yuan

Reinforcement learning has been applied to train the dialog systems in many works. Previous approaches divide the dialog system into multiple modules including DST (dialog state tracking) and DP (dialog policy), and train these modules simultaneously. However, different modules influence each other during training. The errors from DST might misguide the dial

Fangmei Sun, Fangqin Ye, Liuchang Zhou

In this paper, for $p>1$ and $s>1$, we give a complete description of the boundedness and compactness of a Cesàro-like operator from the Besov space $B_p$ into a Banach space $X$ between the mean Lipschitz space $Λ^s_{1/s}$ and the Bloch space.

Nazanin Shiri, Narges Tazimi, Majid Monemzadeh

Conventionally, hexaquarks are claimed to be exotic particles, most of which have not yet been experimentally detected. In this work, we study the mass spectra of exotic hadrons known as hexaquarks in the form of dibaryons. We investigate the hexaquark states with the twobody configuration in more detail. Starting from the analytical solution of the radial S

Annina Z. Lieberherr, Seth T. E. Furniss, Joseph E. Lawrence, David E. Manolopoulos

We assess the cavity molecular dynamics method for the calculation of vibrational polariton spectra, using liquid water as a specific example. We begin by disputing a recent suggestion that nuclear quantum effects may lead to a broadening of polariton bands, finding instead that they merely result in anharmonic red shifts in the polariton frequencies. We go

Shi Jin, Xiantao Li, Nana Liu, Yue Yu

This paper explores the feasibility of quantum simulation for partial differential equations (PDEs) with physical boundary or interface conditions. Semi-discretisation of such problems does not necessarily yield Hamiltonian dynamics and even alters the Hamiltonian structure of the dynamics when boundary and interface conditions are included. This seemingly i

S. P. Hatkar, S. P. Saraogi, S. D. Katore

In this paper, we have studied Bianchi type I space-time in the presence of domain walls in the context of $f(G)$ theory of gravitation. Field equations are solved by using the special form of deceleration parameter. It is also assumed that expansion is proportional to the shear scalar of the model. Some physical parameters are discussed in detail.

Sebastien Origer, Christophe De Wagter, Robin Ferede, Guido C. H. E. de Croon

Reaching fast and autonomous flight requires computationally efficient and robust algorithms. To this end, we train Guidance & Control Networks to approximate optimal control policies ranging from energy-optimal to time-optimal flight. We show that the policies become more difficult to learn the closer we get to the time-optimal &#39;bang-bang&#39; control p

Daqi Yang, Wenfang Liu, Xin Wu

We consider the motion of test particles around a $Reissner-Nordström$ black hole immersed into a strong external magnetic field modifying the spacetime structure. When the particles are neutral, their dynamics are nonintegrable because the magnetic field acts as a gravitational effect, which destroys the existence of a fourth motion constant in the $Reissne

Elyas Mouhou, Vincent Audigier, Josselin Noirel

Experimental designs with hierarchically-structured errors are pervasive in many biomedical areas; it is important to take into account this hierarchical architecture in order to account for the dispersion and make reliable inferences from the data. This paper addresses the question of estimating a proportion or a ratio from positive or negative count data a

Fabian Obster, Christian Heumann, Heidi Bohle, Paul Pechan

We describe how interpretable boosting algorithms based on ridge-regularized generalized linear models can be used to analyze high-dimensional environmental data. We illustrate this by using environmental, social, human and biophysical data to predict the financial vulnerability of farmers in Chile and Tunisia against climate hazards. We show how group struc

Z. Arnold, O. Isnard, V. Paul-Boncour

Monoclinic Y$_{0.7}$Er$_{0.3}$Fe$_2$D$_{4.2}$ compound exhibits unusual magnetic properties with different field induced magnetic transitions. The deuteride is ferrimagnetic at low temperature and the Er and Fe sublattices present magnetic transitions at different temperatures. The Er moments are ordered below T$_{Er}$=55 K, whereas the Fe moments remain fer

Julian Kunkel, Christian Boehme, Jonathan Decker, Fabrizio Magugliani

DECICE is a Horizon Europe project that is developing an AI-enabled open and portable management framework for automatic and adaptive optimization and deployment of applications in computing continuum encompassing from IoT sensors on the Edge to large-scale Cloud / HPC computing infrastructures. In this paper, we describe the DECICE framework and architectur

Soumitra Dey, V. Vetrivel, Hong-Kun Xu

We extend the concept of well-posedness to the split equilibrium problem and establish Furi-Vignoli-type characterizations for the well-posedness. We prove that the well-posedness of the split equilibrium problem is equivalent to the existence and uniqueness of its solution under certain assumptions on the bifunctions involved. We also characterize the gener

Sebastian Larsen, Paul A. Hooper

Transforming a design into a high-quality product is a challenge in metal additive manufacturing due to rare events which can cause defects to form. Detecting these events in-situ could, however, reduce inspection costs, enable corrective action, and is the first step towards a future of tailored material properties. In this study a model is trained on laser

Kamiel Janssens

In this overview we discuss the prospects for a first detection of an isotropic gravitational wave background with earth-based interferometric detectors. Furthermore, we focus on how correlated noise sources could endanger such a detection with current generation of detectors. Finally, we project how correlated noise could significantly impede the potential

Qiuli Fan, Yongsheng Cheng

Hom-Lie algebras are non-associative algebras generalizing Lie algebras by twisting the Jacobi identity by a linear map. In this paper, we mainly study the irreducible representation of the twisted Heisenberg-Virasoro algebra of Hom-type, which can be induced by the irreducible representations of its induced Lie algebra. In particular, we construct some kind

Gi-Sang Cheon, Bumtle Kang, Suh-Ryung Kim, Homoon Ryu

In this paper, we study row graphs of Toeplitz matrices. The notion of row graphs was introduced by Greenberg et al. in 1984 and is closely related to the notion of competition graphs, which has been extensively studied since Cohen had introduced it in 1968. To understand the structure of the row graphs of Toeplitz matrices, which seem to be quite complicate

Bruno Colbois, Corentin Léna, Luigi Provenzano, Alessandro Savo

We consider the eigenvalues of the magnetic Laplacian on a bounded domain $Ω$ of $\mathbb R^2$ with uniform magnetic field $β>0$ and magnetic Neumann boundary conditions. We find upper and lower bounds for the ground state energy $λ_1$ and we provide semiclassical estimates in the spirit of Kröger for the first Riesz mean of the eigenvalues. We also discuss

F. A. Shiha

In this present paper, we show that the Stirling numbers of the first kind with higher level connected with the probability distribution of the number of records and record times in the so-called F^α-scheme. In addition, we determine the location of the maximum of the Stirling numbers of the first kind with higher level.

Luca Paolo Wiggering

We compute the full $\mathcal{O}(α_s)$ corrections to stop-antistop annihilation into two gluons and a light quark-antiquark pair within the framework of the Minimal Supersymmetric Standard Model (MSSM), including the non-perturbative Sommerfeld enhancement effect. Numerical results for the total annihilation cross section are shown and the effect on the neu

Dongyan Fu, Bao-Dong Sun, Yubing Dong

The generalized parton distributions (GPDs) for the spin-3/2 $Δ^+$ resonance are studied numerically by using a diquark spectator approach. Our results show that symmetric constraints from time reversal on GPDs are satisfied. The axial vector form factors of the system are also provided and compared with the lattice QCD calculation. Furthermore, the structur

R Kabilan, M Sathish Aravindh, A Venkatesan, M Lakshmanan

In the present work, we examine the role of nonlinearity in vibrational resonance (VR) of a forced and damped form of a velocity-dependent potential system. Many studies have focused on studying the vibrational resonance in different potentials, like bistable potential, asymmetrically deformed potential, and rough potential. In this connection, velocity-depe

J. -M. Rax, R. Gueroult, N. J. Fisch

Both spin and orbital angular momentum can be exchanged between a rotating wave and a rotating magnetized plasma. Through resonances the spin and orbital angular momentum of the wave can be coupled to both the cyclotron rotation and the drift rotation of the particles. It is however shown that the Landau and cyclotron resonance conditions which classically d

Tristan Cam, Simon Martiel

We present a simple and efficient way to reduce the contraction cost of a tensor network to simulate a quantum circuit. We start by interpreting the circuit as a ZX-diagram. We then use simplification and local complementation rules to sparsify it. We find that optimizing graph-like ZX-diagrams improves existing state of the art contraction cost by several o

Koichi Kuriyama

Although data augmentation is a powerful technique for improving the performance of image classification tasks, it is difficult to identify the best augmentation policy. The optimal augmentation policy, which is the latent variable, cannot be directly observed. To address this problem, this study proposes $\textit{LatentAugment}$, which estimates the latent

Telmo Pessoa Pires, Robin M. Schmidt, Yi-Hsiu Liao, Stephan Peitz

Multilingual Machine Translation promises to improve translation quality between non-English languages. This is advantageous for several reasons, namely lower latency (no need to translate twice), and reduced error cascades (e.g., avoiding losing gender and formality information when translating through English). On the downside, adding more languages reduce

Wen Zhou, Yongsheng Cheng

In this paper, firstly, we use the bosonic oscillators to construct a two-parameter deformed Virasoro algebra, which is a non-multiplicative Hom-Lie algebra. Secondly, a non-trivial Hopf structure related to the two-parameter deformed Virasoro algebra is presented, that is, we construct a new two-parameter quantum group.

Mehran Jeelani, Sadbhawna, Noshaba Cheema, Klaus Illgner-Fehns

Video super-resolution (VSR) techniques, especially deep-learning-based algorithms, have drastically improved over the last few years and shown impressive performance on synthetic data. However, their performance on real-world video data suffers because of the complexity of real-world degradations and misaligned video frames. Since obtaining a synthetic data

Wen Zhou, Yongsheng Cheng

In this paper, we construct a class of Harish-Chandra modules of the two parameters deformed Virasoro algebra and classify indecomposanle Harish-Chandra module of an intermediate series.

Seid Koudia

Quantum networks constitute a major part of quantum technologies. They will boost distributed quantum computing drastically by providing a scalable modular architecture of quantum chips, or by establishing an infrastructure for measurement based quantum computing. Moreover, they will provide the backbone of the future quantum internet, allowing for high marg

A. Otal, L. Ugarte

We classify all the $6$-dimensional unimodular Lie algebras $\mathfrak{g}$ admitting a complex structure with non-zero closed $(3,0)$-form. This gives rise to $6$-dimensional compact homogeneous spaces $M=Γ\backslash G$, where $Γ$ is a lattice, admitting an invariant complex structure with holomorphically trivial canonical bundle. As an application, in the b

Nikita Gladkov

We give an extension of the FKG inequality to the case of multiple events with equal pairwise intersections. We then apply this inequality to resolve Kahn&#39;s question on positive associated (PA) measures.

Maciej Wielgosz, Stefano Puliti, Phil Wilkes, Rasmus Astrup

This article introduces Point2Tree, a novel framework that incorporates a three-stage process involving semantic segmentation, instance segmentation, optimization analysis of hyperparemeters importance. It introduces a comprehensive and modular approach to processing laser points clouds in Forestry. We tested it on two independent datasets. The first area wa

Ke Guo, Wei Jing, Junbo Chen, Jia Pan

Imitation learning holds great promise for addressing the complex task of autonomous urban driving, as experienced human drivers can navigate highly challenging scenarios with ease. While behavior cloning is a widely used imitation learning approach in autonomous driving due to its exemption from risky online interactions, it suffers from the covariate shift

Eli Galanti, Yohai Kaspi, Tristan Guillot

The shape of the two gas giants, Jupiter and Saturn, is determined primarily by their rotation rate, and interior density distribution. It is also affected by their zonal winds, causing an anomaly of O(10 km) at low latitudes. However, uncertainties in the observed cloud-level wind and the polar radius, translate to an uncertainty in the shape with the same

Elena Kosheleva, Sunil Jaiswal, Faranak Shamsafar, Noshaba Cheema

Video depth estimation is crucial in various applications, such as scene reconstruction and augmented reality. In contrast to the naive method of estimating depths from images, a more sophisticated approach uses temporal information, thereby eliminating flickering and geometrical inconsistencies. We propose a consistent method for dense video depth estimatio

T. Mageshwaran, Sudip Bhattacharyya

We present a relativistic disk-corona model for a steady state advective accretion disk to explain the UV to X-ray spectral index $α_{\text{OX}}$ evolution of \textbf{four} tidal disruption event (TDE) sources XMMSL2J1446, XMMSL1J1404, XMMSL1J0740, \textbf{and AT2018fyk}. The viscous stress in our model depends on gas ($P_g$) and total ($P_t$) pressures as $

K. Y. Zhang, P. Papakonstantinou, M. -H. Mun, Y. Kim

Halos and changes of nuclear magicities have been extensively investigated in exotic nuclei during past decades. The newly discovered $^{39}$Na with the neutron number $N=28$ provides a new platform to explore such novel phenomena near the neutron dripline of the sodium isotopic chain. We study the shell property and the possible halo structure in $^{39}$Na

Chen Shen, Tianshu Li, Yixuan Zhang, Teng Long

Chalcogenides, which refer to chalcogen anions, have attracted considerable attention in multiple fields of applications, such as optoelectronics, thermoelectrics, transparent contacts, and thin film transistors. In comparison to oxide counterparts, chalcogenides have demonstrated higher mobility and \textit{p}-type dopability, owing to larger orbital overla

Shauli Ravfogel, Yoav Goldberg, Jacob Goldberger

Language models generate text based on successively sampling the next word. A decoding procedure based on nucleus (top-$p$) sampling chooses from the smallest possible set of words whose cumulative probability exceeds the probability $p$. In this work, we assess whether a top-$p$ set is indeed aligned with its probabilistic meaning in various linguistic cont

Tobias J. Wieczorek, Tatjana Tchumatchenko, Carlos Wert Carvajal, Maximilian F. Eggl

Artificial neural networks (ANNs) are increasingly used as research models, but questions remain about their generalizability and representational invariance. Biological neural networks under social constraints evolved to enable communicable representations, demonstrating generalization capabilities. This study proposes a communication protocol between coope

X. R. Wang, X. C. Hu

Topological solitons are crucial to many branches of physics, such as models of fundamental particles in quantum field theory, information carriers in nonlinear optics, and elementary entities in quantum and classical computations. Chiral magnetic materials are a fertile ground for studying solitons. In the past a few years, a huge number of all kinds of top

Harleen Dahiya, Suneel Dutt, Arvind Kumar, Monika Randhawa

Following the first clear evidence of the presence of intrinsic charm contribution in the proton, the axial-vector charges of the light and charmed baryons are investigated in the framework of $SU(4)$ chiral constituent quark model after including the explicit contributions from the $u\bar u $, $d\bar d $, $s\bar s $ and $c\bar c $ fluctuations. The axial-ve

Brandon M Booth, Louis Hickman, Shree Krishna Subburaj, Louis Tay

We provide a psychometric-grounded exposition of bias and fairness as applied to a typical machine learning pipeline for affective computing. We expand on an interpersonal communication framework to elucidate how to identify sources of bias that may arise in the process of inferring human emotions and other psychological constructs from observed behavior. Va

Guoqing Yang, Fuyou Xue, Qi Zhang, Ke Xie

We present the UrbanBIS benchmark for large-scale 3D urban understanding, supporting practical urban-level semantic and building-level instance segmentation. UrbanBIS comprises six real urban scenes, with 2.5 billion points, covering a vast area of 10.78 square kilometers and 3,370 buildings, captured by 113,346 views of aerial photogrammetry. Particularly,

Pingchuan Ma, Zongjie Li, Ao Sun, Shuai Wang

As the popularity of large language models (LLMs) soars across various applications, ensuring their alignment with human values has become a paramount concern. In particular, given that LLMs have great potential to serve as general-purpose AI assistants in daily life, their subtly unethical suggestions become a serious and real concern. Tackling the challeng

UngJin Na, Moonhee Choi, HangJin Jo

The critical heat flux (CHF) is an essential safety boundary in boiling heat transfer processes employed in high heat flux thermal-hydraulic systems. Identifying CHF is vital for preventing equipment damage and ensuring overall system safety, yet it is challenging due to the complexity of the phenomena. For an in-depth understanding of the complicated phenom

Peng Lv, Wenjing Lv, Donghai Wu, Gang Tang

One of the great challenges facing atomically dispersed catalysts, including single-atom catalyst (SAC) and double-atom catalyst (DAC) is their ultra-low metal loading (typically less than 5 wt%), basically limiting the practical catalytic application, such as oxygen reduction reaction (ORR) crucial to hydrogen fuel cell and metal-air battery. Although some

Biao Ma, Fei Gao, Chang Jiang, Nannan Wang

Neural radiance fields (NeRF) based methods have shown amazing performance in synthesizing 3D-consistent photographic images, but fail to generate multi-view portrait drawings. The key is that the basic assumption of these methods -- a surface point is consistent when rendered from different views -- doesn&#39;t hold for drawings. In a portrait drawing, the