id string | image image | latex string | title string | caption string | newcommands string | categories string |
|---|---|---|---|---|---|---|
2307.04457v2 | \begin{tabular}{l|cc|cc|cc}
\hline
& \multicolumn{2}{c}{\textbf{Heat stability}} & \multicolumn{2}{|c}{\textbf{Casein content}} &\multicolumn{2}{|c}{\textbf{RCT}} \\
& RMSEP&$\widehat{\ttQ}_y$ &RMSEP&$\widehat{\ttQ}_y$& RMSEP&$\widehat{\ttQ}_y$ \\
\hline
BBPLS & 0.875 (0.172) & 6.5 (2.5) & 0.376 (0.027) & 6.8 (1... | Predicting milk traits from spectral data using Bayesian probabilistic partial least squares regression | Accuracy of predictions of the standardised heat stability, casein content and RCT traits from the milk MIR spectral data using each of the proposed BPLS and existing methods. Estimates are given as ``mean (standard deviation)'' of thee RMSEP over the four test folds, with bold font indicating optimal performance. $^*$... | ['\\newcommand\\myshade{95}', '\\newcommand{\\R}{\\mathbb{R}} ', '\\newcommand{\\Z}{\\mathbb{Z}}', '\\newcommand{\\N}{\\mathbb{N}}', '\\newcommand{\\Q}{\\mathbb{Q}}', '\\newcommand{\\C}{\\mathbb{C}}', '\\newcommand{\\E}{\\mathbb{E}}', '\\newcommand{\\V}{\\mathbb{V}}', '\\newcommand{\\dd}{\\mathsf{d}}', '\\newcommand{\... | stat.ME, stat.AP | |
2309.04013v1 | \begin{tabular}{|c|c|c|} \hline
Species & \bf Mean & \bf Std.~Dev. \\ \hline
1 & 3.4 & 1.2 \\
2 & 5.4 & 0.6 \\ \hline
\end{tabular} | An Element-wise RSAV Algorithm for Unconstrained Optimization Problems | Example table. | ['\\newcommand{\\bx}{\\boldsymbol{x}}'] | math.OC, cs.LG, stat.ML, 90C26, 68T99, 68W40 | |
2307.00516v1 | \begin{tabular}{|c|c|c|c|c|c|}
\hline
$m\times n$ & 500$\times$ 1000 & 500$\times$ 2000 & 500$\times$ 4000 & 500$\times$ 8000 \\
\hline
GP-P1 & 4.015903385 & 16.7774142 & 70.75651123 & 388.644996 \\
\hline
GP-P2 & 3.56448103 & 24.74755891 & 68.75088813 & 327.9051987 \\
\hline
GP-P3 & 3.63770008 & 28.0462... | A re-examination to the SCoTLASS problems for SPCA and two projection-based methods for them | The solving speed comparison of different constrained algorithms for $m$ is fixed at 500 (in seconds) | null | math.ST, stat.TH | |
2311.09497v1 | \begin{tabular}{|l|c|}
\hline
$\alpha_f$ (Objective Quality Variance) & 0.581\\ \hline
$\alpha_{b,1} / \alpha_f$ (Meta-Reviewer Offset Variance) & 0.458 \\ \hline
$\alpha_{b,2} / \alpha_f$ (Reviewer Offset Variance) & 0.432 \\ \hline
$\alpha_{b,3} / \alpha_f$ (Author Offset... | Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other Experiments | Fit parameters of linear calibration model. | ['\\newcommand{\\ns}[1]{{\\color{blue} \\textbf{ns: #1}}}', '\\newcommand{\\is}[1]{{\\color{green} \\textbf{is: #1}}}', '\\newcommand{\\ag}[1]{{\\color{red} \\textbf{ag: #1}}}', '\\newcommand{\\confx}{NeurIPS 2022{}}', '\\newcommand{\\externalrev}{external reviewers}', '\\newcommand{\\understanding}{understanding}', '\... | cs.DL, cs.GT | |
2310.16470v1 | \begin{tabular}{crrr|crrr}
\hline
& Coefficient & Std. err. & $t$ value & & Coefficient & Std. err. & $t$ value\\
\hline
$\gamma$ & 216.41 & 0.81 & $^{*}$268.16 & & & & \\
$\alpha_{\rm{c}1}$ & 161.30 & 9.51 & $^{*}$16.97 & $\alpha_{\rm{s}1}$ & 138.52 & 11.52 & $^{*}$12.02 \\
$\alpha_{\rm{c}2}$ & -30.96 & 2.67 & $... | Understanding Impact of Angle in Urban Transportation | Estimated parameters of Case 3. | null | stat.AP | |
2312.09955v1 | \begin{tabular}{ c c c c c }
\hline
Metrics & Fattal's & DehazeNet & Gao \emph{et al.} & Proposed \\
\hline
MPSNR & 17.74 & 22.39 & 23.26 & 26.83 \\
MSSIM & 0.803 & 0.817 & 0.917 & 0.924 \\
MFSIM & 0.901 & 0.952 & 0.921 & 0.978 \\
\hline
\\
\end{tabular} | DHFormer: A Vision Transformer-Based Attention Module for Image Dehazing | Mean PSNR, SSIM, and FSIM of the given methods over the HSTS dataset. | null | cs.CV, eess.IV | |
2311.18446v1 | \begin{tabular}{cccc}
\hline
& \multicolumn{1}{c}{Beran} & \multicolumn{2}{c}{SBeran} \\ \noalign{\hrule height 1pt}
\hspace*{0.2cm} $x$ \hspace*{0.2cm} & \hspace*{0.2cm} $ h^*$ \hspace*{0.2cm} & $h_2^*$ & $g_2^*$ \\
40 & 4.765306 & 5.507370 & 1.266695 \\
60 & 4.571429 & 5.548651 & 0.784... | Length-of-stay times in hospital for COVID-19 patients using the smoothed Beran's estimator with bootstrap bandwidth selection | Bootstrap bandwidth for Beran's estimation and the smoothed Beran's estimation of the conditional survival function of the time in ward for some different values of age. | null | stat.CO, stat.AP, stat.ME | |
2305.17922v1 | \begin{tabular}{|l|r|r||r|r|} \hline
& \multicolumn{2}{|c||}{IM EN-prior} & \multicolumn{2}{c|}{IM PC-prior} \\ \hline
RMSE & $4.22$ & $4.24$ & $4.21$ & $4.21$\\ \hline
Bias & $0.71$ & $0.68$ & $0.73$ & $0.86$ \\ \hline
& \multicolumn{1}{|c|}{Base} & \multicolumn{1}{c||}{Feedback} & \multicol... | Bayesian feedback in the framework of ecological sciences | Median values of the RMSE along the $108$ scenarios for the median posterior prediction values. | ['\\newcommand{\\iosu}{\\color{orange}}', '\\newcommand{\\david}{\\color{orange}}'] | stat.AP, 62P10 | |
2310.02046v1 | \begin{tabular}{|p{54mm}|p{54mm}|p{54mm}|}
\hline
\textbf{Examples that indicate that Comparison operator is used to find the target} & \textbf{Examples that indicate that Semantic understanding is used to find the target} & \textbf{Examples that indicate that Context awareness is used to find the target} \\ \hline
Bot... | Improving web element localization by using a large language model | Example motivations from GPT-4 classified as comparison operator, semantic understanding, or context awareness. | null | cs.SE | |
2309.00239v2 | \begin{tabular}{lll}
\hline
Parameters & Montreal$^{1}$ & La Plata\\
\hline
\Teff & $1460-150\,000$\,K & $2750-80\,000$\,K\\
\logg & $6.7-9.3$ & $6-9.45$\\
Mass ($\rm{M_{WD}}$) & $0.2-1.3$\,\Msun & $0.2-1.3$\,\Msun\\
Core composition & CO core & He Core $(\rm{M_{WD}}<0.5\,\Msun)^{2}$\\
& entire mass range & CO core... | An HST COS ultra-violet spectroscopic survey of 311 DA white dwarfs.I. Fundamental parameters and comparative studies | Model parameters of the two mass-radius relations from the Montreal and La Plata models for a progenitor metallicity of $Z=0.02$. | ['\\newcommand{\\cmark}{\\ding{50}}%', '\\newcommand{\\xmark}{\\ding{53}}%', '\\newcommand{\\Y}{\\checkmark}%', '\\newcommand{\\N}{\\xmark}%', '\\newcommand{\\vdag}{(v)^\\dagger}', '\\newcommand\\aastex{AAS\\TeX}', '\\newcommand\\latex{La\\TeX}', '\\newcommand{\\Line}[3]{\\Ion{#1}{#2}~#3\\,\\AA}', '\\newcommand{\\Lines... | astro-ph.SR | |
2311.13498v1 | \begin{tabular}{ |c| }
\hline
$\Omega_{\rm m0}h^2 = 0.139 \pm 0.017$ \\
\hline
\end{tabular} | Unveiling $Ω_{\rm m0}$ independently: a journey and consistency quest with first-order perturbation theory |
The estimated value of the $\Omega_{\rm m0}h^2$ parameter and the associated 1$\sigma$ error.
| ['\\newcommand*{\\pb}{\\textcolor{red}}', '\\newcommand{\\Mpl}{M_{\\textrm{Pl}}}', '\\newcommand{\\orcid}[1]{\\href{https://orcid.org/#1}{\\,\\includegraphics[width=8px]{ORCID.eps}}}'] | astro-ph.CO, gr-qc | |
2310.20138v2 | \begin{tabular}{c|c|c|cc|cc|c}
\hline
\multirow{2}*{Models} & \multirow{2}*{\shortstack{\# Edited Neurons}} & \multirow{2}*{Time} &\multicolumn{2}{c|}{Before Editing} & \multicolumn{2}{c|}{After Editing} & \multirow{2}*{Reduction Rate} \\
\cline{4-7}
& & & Valid-PPL & Exposure & Valid-P... | DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models | The privacy leakage risk reduction rate for models of different sizes. | ['\\newcommand{\\theHalgorithm}{\\arabic{algorithm}}'] | cs.CR, cs.CL | |
2310.14702v2 | \begin{tabular}{c|l}
\hline
Blocks & \multicolumn{1}{c}{Settings} \\
\hline
Voxel Feature Encoder (VFE) & use normalization and absolute 3D coordinates, 64 filters \\
\hline
PointPillar Scatter & 64-channel output \\
\hline
\multirow{6}{*}{BEV backbone} & ResNet backbone: \\
& layer... | BM2CP: Efficient Collaborative Perception with LiDAR-Camera Modalities | Details of unified network architecture. | null | cs.CV, cs.AI, cs.RO | |
2307.05467v1 | \begin{tabular}{p{4.0cm}p{2.3cm}}
\hline
%\multicolumn{4}{|c|}{Country List} \\
\hline
$\kappa$ & $T_c$ \\
\hline
1.0 & 1.728(5) \\
%\hline
0.8 & 1.894(5) \\
%\hline
0.6 & 2.041(5) \\
%\hline
0.4 & 2.161(5) \\
%\hline
0.2 & 2.241(5) \\
%\hline
0.001 & 2.269(5) \\
\hline
\... | Is Kaniadakis $κ$-generalized statistical mechanics general? | Estimates of critical temperatures of 2D Ising model with the $\kappa$-generalized Metropolis rate in Eq.\ (\ref{ising-metropolis-kaniadakis}), for some values of $\kappa$. Estimates of the critical temperature $T_c$ were obtained from the crossings of Binder Cumulant, as seen in panel (a) of Fig.\ \ref{ising-collapses... | null | hep-th, cond-mat.stat-mech, math-ph, math.MP | |
2312.15382v1 | \begin{tabular}{|c|c|c|c|}
\hline
Nodes & Reference & Computed value & Error \\
\hline
(2, 10, 12) & 0.5389714947317054 & 0.5386865717999949 & $2.84922 \cdot 10^{-4} $ \\
(2, 10, 14) & 0.5953434982171909 & 0.5951583168446205 & $1.85181 \cdot 10^{-4}$ \\
(4, 12, 18) & 0.7121629047455362 & 0.7125335341761537 & $3.7062... | Efficient simulation of mixed boundary value problems and conformal mappings | Moduli of quadrilaterals \( (Q_{B}; e^{im\pi/24}\), \(e^{in\pi/24}\), \(e^{ir\pi/24}, 1) \) for several integer triples \( (m, n, r) \) | null | math.NA, cs.NA, math.CV, math.PR, 30-08, 30C20, 31-08, 31A15, 60J65, 65C05, G.1.8; G.3; I.3.5 | |
2308.06279v2 | \begin{tabular}{lccccc} \hline
& L13 & L14 & L15 & L16 & L17 \\
VARIABLES & W & W & W & W & W \\ \hline
& & & & & \\
Closed & -0.465** & -0.448** & -0.670 & -0.391 & -0.476** \\
& (0.211) & (0.216) & (0.498) & (0.240) & (0.221) \\
Home Team & & & & & YES \\
Away Team & & & & & YES \\
Calendar & & & &... | Visitors Out! The Absence of Away Team Supporters as a Source of Home Advantage in Football | Logits regressions of models in Table \ref{tab:REG_ADD1} | null | econ.GN, q-fin.EC | |
2305.09065v2 | \begin{tabular}{c || c | c | c | c | c | c | c | c | c | c }
\hline
$a/b$ & $10^{-4}$ & 0.01 & 0.05 & 0.10 & 0.20 & 0.25 & 0.30 & 0.50 & 0.75 & 0.99 \\ [0.5ex]
\hline%\hline
$n=1$ & 0.0979 & 0.1784 & 0.2503 & 0.3028 & 0.3832 & 0.4191 & 0.4537 & 0.5906 & 0.7766 & 0.9900 \\
$n=2$ & 0.1086 & 0.2158 & 0.3228 & 0.403... | Robust Auction Design with Support Information | Maximin ratio as a function of relative support information $a/b$ for various numbers of buyers $n$. | null | econ.TH, cs.GT, cs.MA | |
2302.06098v1 | \begin{tabular}{l|cccccc}
\hline
Arrangement & B-1 & B-4 & M & R & C & S \\
\hline
LSA + SA & 81.1 & 39.6 & 29.1 & 59.0 & 133.4 & \textbf{22.8} \\
SA + LSA & \textbf{81.2} & \textbf{39.7} ... | Towards Local Visual Modeling for Image Captioning | Ablation studies on various arrangements of SA and LSA. + is sequential connection, \& represents parallel connection. | null | cs.CV, cs.MM | |
2311.11231v2 | \begin{tabular}{c|c|c|c|c|cc}
\hline
\multirow{2}[4]{*}{Industry} & \multirow{2}[4]{*}{Total} & \multicolumn{5}{c}{Percentage} \\
\cline{3-7} & & $G_1$ & \multicolumn{1}{c|}{$R_1$} & \multicolumn{1}{c|}{$R_2$} & $R_3$ & $R_4$ \\
\hline
$S_1$& 1780 & 29.2 & 85.9 & 5.9 ... | Workforce pDEI: Productivity Coupled with DEI | Employed Persons by Detailed Occupation . | null | econ.GN, q-fin.EC | |
2312.07312v1 | \begin{tabular}{c|c|c|c}
& \(\Lambda < 0\) & \(\Lambda = 0\) & \(\Lambda > 0\)\\[0pt]
\hline
\(\kappa = 1\) & no solution & no solution & de Sitter\\[0pt]
& & & \(a = \cosh(q t) / q\)\\[0pt]
\hline
\(\kappa = 0\) & no solution & Minkowski & de Sitter\\[0pt]
& & \(a = 1\) & \(a = \exp(q t)\)\\[0pt]
\hline
\(\kappa... | Inflationary scenarios in an effective polynomial affine model of gravity | \label{tab:summary-vacuum-friedmann-cosmologies}Classification of vacuum Friedmann cosmologies in General Relativity . The quantity \(q\) is defined as \(q = \sqrt{|\Lambda|/3}\). | ['\\newcommand{\\Ag}{\\mathcal{A}}', '\\newcommand{\\Fg}{\\mathcal{F}}', '\\newcommand{\\Popl}{\\operatorname{Popl}}', '\\newcommand{\\R}{\\mathbb{R}}', '\\newcommand{\\Riem}{\\operatorname{Riem}}', '\\newcommand{\\Ric}{\\operatorname{Ric}}', '\\newcommand*{\\diag}{\\operatorname{diag}}', '\\newcommand{\\sgn}{\\operato... | gr-qc, hep-th, math-ph, math.MP | |
2309.11390v1 | \begin{tabular}{lcccccccccc}
\hline\hline
\noalign{\smallskip}
Observatory & Aperture & Filter & Date & Start & End & Length & Exp. Time & Airmass & Comp. & Precision\\
& (m) & & (UTC)& (UTC) & (UTC) & (min.) & (sec.) & Range & Stars... | TOI-858 B b: A hot Jupiter on a polar orbit in a loose binary | TFOP photometric follow-up observation log. | ['\\newcommand{\\Nstar}{TOI-858\\,B}', '\\newcommand{\\NstarBTIC}{TIC-198008002}', '\\newcommand{\\Nplanet}{TOI-858\\,B\\,b}', '\\newcommand{\\NstarB}{TOI-858\\,A}', '\\newcommand{\\kms}{km\\,s$^{-1}$}', '\\newcommand{\\kmssquared}{km$^2\\,s^{-2}$}', '\\newcommand{\\ms}{m\\,s$^{-1}$}', '\\newcommand{\\flux}{erg\\, cm$^... | astro-ph.EP | |
2307.12087v1 | \begin{tabular}{|c|c|}
\hline
encoding & 734401 \\ \hline
round id & 1 \\ \hline
number of Pairs & 3 \\ \hline
number of Pongs or Kongs & 2 \\ \hline
number of Character tiles & 3 \\ \hline
number of wind tiles & 11 \\ \hline
... | CFR-p: Counterfactual Regret Minimization with Hierarchical Policy Abstraction, and its Application to Two-player Mahjong | An Example of Nodes | null | cs.AI, econ.GN, q-fin.EC | |
2306.04992v1 | \begin{tabular}{c|c|ccccccccc}
\hline \hline
Crust &Core & $M_{\rm max}[M_{\odot}]$ & $R_{\rm max}$[km] & $\rho_c\rm[fm^{-3}]$ & $R_{1.4}$[km] & $\Lambda_{1.4}$ & $R_{0.77}$[km] & $\rho_{0.77}\rm[fm^{-3}]$ \\
\hline
\multirow{3}*{$L=47$}
&$L=26$ & 1.93 & 10.10 & 1.23 & 11.61 & 316 & 11.50 & 0.34 ... | The hadronic equation of state of HESS J1731-347 from the relativistic mean-field model with tensor coupling | Neutron star properties generated by the sets from Table. \ref{table.differL}. | ['\\newcommand{\\nc}{\\newcommand} % new command', '\\newcommand{\\renc}{\\renewcommand} % re-new command', '\\newcommand{\\red}[1]{\\textcolor[rgb]{1.0,0.0,0.0}{\\bfseries #1}}', '\\newcommand{\\blue}[1]{\\textcolor[rgb]{0.0,0.0,1.0}{\\bfseries #1}}'] | nucl-th, astro-ph.HE | |
2308.11991v1 | \begin{tabular}{lllll}
\hline
& \multicolumn{2}{c}{\textbf{Rock-Paper-Scissors}} & \multicolumn{2}{c}{\textbf{Hanoi}} \\
& \multicolumn{1}{c}{\textbf{Before Interv.}} & \multicolumn{1}{c}{\textbf{After Interv.}} & \multicolumn{1}{c}{\textbf{Before Interv.}} & \multicolumn{1}{c}{\textbf{After Interv.}} \\
\hline
R-CBM... | Relational Concept Based Models | \textbf{CBMs response to interventions}. | ['\\newcommand{\\note}[1]{\\textcolor{red}{#1}}', '\\newcommand{\\mc}{\\mathcal}', '\\newcommand{\\B}{\\mathbf}'] | cs.LG, cs.AI, cs.NE | |
2305.08559v3 | \begin{tabular}{l|l|l}
\hline
& Later Sunset Counties (Robust) & Manipulation \\ \hline
County Index & $0.083^{***}(0.024)$ & No \\ \hline
Family Unity & $0.098^{***}(0.022)$ & No \\ \hline
Community Health & $-0.0443^{**}(0.019)$ & No \\ \hline
Institutional Health & $0.073^{**}(0.024)$ & No \\ \hline
Efficacy & $0.0... | Designing Discontinuities | Designed Discontinuity Counterfactual Prediction on Social Capital: Local non-parametric regression discontinuity estimates | ['\\newcommand{\\lav}[1]{\\textcolor{blue}{#1}}', '\\newcommand{\\ibtihal}[1]{\\textcolor{red}{#1}}'] | cs.IT, cs.LG, econ.EM, math.IT | |
2311.03120v2 | \begin{tabular}{ll@{\hspace{4em}}ll}
\dag & \verb"\dag" & \S & \verb"\S" \\
\copyright & \verb"\copyright"& \ddag & \verb"\ddag"\\
\P & \verb"\P" & \pounds & \verb"\pounds" \\
\# & \verb"\#" & \$ & \verb"\$"\\
\% & \verb"\%" & \& & \verb"\&" \\
\_ & \verb"\_" & \{ & \verb"\{" \\
\} & \verb"\}" ... | Near-Infrared Ca II Triplet As An Stellar Activity Indicator: Library and Comparative Study | Miscellaneous symbols | ['\\newcommand{\\head}[1]{\\subsubsection*{#1}}', '\\newcommand{\\btx}{\\textsc{Bib}\\TeX}', '\\newcommand{\\thestyle}{\\texttt{\\filename}}'] | astro-ph.SR, astro-ph.EP | |
2312.14692v1 | \begin{tabular}{c|l}
0 & No measures\\
1 & Screening\\
2 & Quarantine arrivals from high-risk regions\\
3 & Ban on high-risk regions\\
4 & Total border closure\\
\end{tabular} | Socioeconomic reorganization of communication and mobility networks in response to external shocks | International travel controls | null | physics.soc-ph | |
2312.10819v1 | \begin{tabular}{|c|c|c|c|c|}
\hline
Metric & Precision (UA) & Recall (PA) & True Positive Rate & False Positive Rate \\
\hline \hline
Stable cropland & $0.42 \pm 0.14$ & $0.44 \pm 0.10$ & $0.32$ & $0.11$\\
Stable non-crop & $0.83 \pm 0.05$ & $0.75 \pm 0.04$ & $0.72$ & $0.38$ \\
... | Satellite Data Shows Resilience of Tigrayan Farmers in Crop Cultivation During Civil War | Accuracy metrics for four-class cropland change reference sample in Southern zone of Tigray. Overall accuracy is $0.65 \pm 0.04$. | null | cs.CY | |
2308.15553v1 | \begin{tabular}{lrrrrl}
{} & length (cm) & width (cm) \\
sepal & 5.4 & 3.0 & \\
petal & 4.5 & 1.5 & \\
\end{tabular} | Dimensionality Reduction Using pseudo-Boolean polynomials For Cluster Analysis | Transformed instance\label{Tab:Tcr_restructured} | null | cs.IR, cs.LG, 62H30 (Primary), E.4; G.2.1 | |
2308.02849v1 | \begin{tabular}{lrccccccccc}
\hline\hline
Line & \multicolumn{1}{c}{$\lambda$} & $L_\mathrm{flx}$ & $L_\mathrm{lum}$\\
& \multicolumn{1}{c}{[nm]} & [erg s$^{-1}$ cm$^{-2}$] & [L$_\odot$] \\
\hline
H15 & 371.20 & \sci{3.12}{-14} $\pm$ \sci{7.10}{-16} & \sci{2.35}{-5} $\pm$ \sci{5.33}{-7}\\
H14 & 37... | Brightness and mass accretion rate evolution during the 2022 burst of EX~Lupi | Line flux and line luminosities for the 2022 July 29 observations. Their calculation in explained in Sect.~\ref{ss:acclum}.\label{table:lflx_llum_202207} | ['\\newcommand{\\sci}[2]{\\ensuremath{#1\\times10^{#2}}}', '\\newcommand{\\exl}{\\object{EX~Lupi}}', '\\newcommand{\\macc}{\\ensuremath{\\dot{M}_{\\mathrm{acc}}}}', '\\newcommand{\\lacc}{\\ensuremath{L_{\\mathrm{acc}}}}', '\\newcommand{\\msun}{M\\ensuremath{_\\odot}}'] | astro-ph.SR | |
2308.06540v1 | \begin{tabular}{lrrr}
Parameter & Measured arrival flux & Trapezoid arrival flux & Rectangular arrival flux \\
\hline
$t_1$ (hour) & - & 9:00 & 9:00 \\
$t_2$ (hour) & - & 23:00 & 23:00 \\
b & - & 4.98 & 4.98 \\
$a_1^{Sun}$ & - & 26.94 & 23.38 \\
$a_1^{Mid}$ & - & 22.39 & 20.42 \\
$a_1^{Fri}$ & - & 21.58 & 17.54 \... | Mitigating Emergency Department Crowding With Stochastic Population Models | Fitted parameter values, for the measured arrival flux (A), trapezoid arrival-flux model (B), and rectangular arrival-flux model (C), used in the main text. The latter resembles model (B) [Eq.~(\ref{trap_flux})], but with a constant value during rush hours: $a^i_1 = a^i_2$ for every part of the week. | null | physics.soc-ph, cond-mat.stat-mech, q-bio.PE | |
2308.08918v1 | \begin{tabular}{l|cccc}
\hline
% \hline
& EPnL[$10^3$] & MAP[unit] & PnLMAP
% & RPT[$\%$]
& \#T \\
\hline
IMM$_{PnL}$
%RB
% & 16143.91 & { 68071.77} & 1735.32 & 182.77 & 8.10 & 38.58 & -0.33 & 1.33 & 3.80 & 0.... | IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making | Performance of IMM variations trained with different reward preferemces on FU dataset. | null | cs.LG, cs.AI, q-fin.TR | |
2307.10453v1 | \begin{tabular}{l|c c c c c c c c c c}
Facility & $E_l$[J] & $\Delta\tau$[fs] & $P_{\rm peak}$ [PW] & $w_0$[$\mu$m] & $\lambda_l$[$\mu$m] & $I_{\rm peak}$[W/cm$^2$] & $a_{\rm peak}$ & $\epsilon_w$ & $\epsilon_t$ & Rep.[Hz] \\\hline
%Baseline & 20 & 300 & 2.6 & 1 & $4.25\times 10^{20}$ & 17.7 & 0.0612 & 0.0111 & ?? \\\h... | Luminosity for laser-electron colliders | The pulse duration is measured as intensity full-width half-max. For peak intensity estimates, the temporal profile is assumed to be gaussian. \label{tab:facilities} | ['\\newcommand{\\tcb}[1]{\\textcolor{blue}{ #1}}', '\\newcommand{\\abs}[1]{\\lvert#1\\rvert}', '\\newcommand{\\norm}[1]{\\lVert#1\\rVert}', '\\newcommand{\\eq}[1]{Eq.\\,\\eqref{eq:#1}}', '\\newcommand{\\fig}[1]{Fig.\\,\\ref{fig:#1}}', '\\newcommand{\\mum}[1]{\\SI{#1}{\\micro\\meter}}', '\\newcommand{\\thetai}{\\theta^{... | hep-ph, physics.acc-ph, physics.plasm-ph | |
2304.02723v1 | \begin{tabular}{|c|ccccccccc|c|}
\hline
Data Set &
\multicolumn{9}{|c|}{Number of Accidents} & Total Number \\[-0.5ex]
& 0 & 1 & 2 & 3 & 4 & 5 & 6 & 7 & $\geq 8$ & of Policies \\
\hline
\hline
O (original) &
7,840 & 1,317 & 239 & 42 & 14 & 4 & 4 & 1 & 0 & 9,461 \\
M1 (modified \#1) & {\em 7,700} & 1,317 & {\em 379} & ... | Measuring Discrete Risks on Infinite Domains: Theoretical Foundations, Conditional Five Number Summaries, and Data Analyses | Original and modified data sets consisting of the numbers of
accidents per policy. | ['\\newcommand{\\red}{\\color[rgb]{1,0,0}}', '\\newcommand{\\blue}{\\color[rgb]{0,0,1}}', '\\newcommand{\\magenta}{\\color[rgb]{1,0,1}}'] | stat.AP, econ.GN, q-fin.EC, stat.ME | |
2310.04022v1 | \begin{tabular}{|c|cccc|}
\hline
& $\tau = 1$ & $25$ & $75$ & $100$ \\ \hline
NI Grid&\multicolumn{4}{c|}{Iterations}\\
\hline
$M_1$ & $26$ & $34$ & $39$ & $41$ \\
$M_2$ & $15$ & $39$ & $70$ & $59$ \\
$M_3$ ... | Nonlinear Methods for Shape Optimization Problems in Liquid Crystal Tactoids | Subproblem A: Iteration count for QN with NI on each grid level. Iteration count for QN without NI is given on level $M_6$ in parenthesis. The final energy, $F^k$, and runtime in seconds for the full simulation of QN with NI (QN without NI in parenthesis) are also given. Both QN and QN with NI converge to the same ener... | ['\\newcommand{\\curl}{\\vec{\\nabla}\\times}', '\\newcommand{\\mydiv}{\\vec{\\nabla}\\cdot}', '\\newcommand{\\mygrad}{\\vec{\\nabla}}', '\\newcommand{\\be}{\\begin{equation}}', '\\newcommand{\\bi}{\\begin{itemize}}', '\\newcommand{\\func}{\\mathcal{F}}', '\\newcommand{\\vw}{\\mbox{\\boldmath$\\omega$}}', '\\newcommand... | math.NA, cs.NA | |
2306.10946v4 | \begin{tabular}{lccc}
\hline
\textbf{d} & \textbf{AUC}& \textbf{F1-score} \\\hline
8 & 0.973 & \bfseries 0.944 \\\hline
16 & \bfseries 0.976 & 0.923 \\\hline
32 & 0.941 & 0.897 \\\hline
64 & 0.936 & 0.892 \\\hline
128 & 0.884 & 0.8... | Att-KGCN: Tourist Attractions Recommendation System by using Attention mechanism and Knowledge Graph Convolution Network | $AUC$ and $F1$-$score$ Results on different d for Att-KGCN model.
The best performance is highlighted in bold. | ['\\newcommand{\\AF}[1]{\\textcolor{red}{[Afifa Khaled: #1]}}', '\\newcommand{\\AM}[1]{\\textcolor{blue}{[Ahmed Mubarak: #1]}}'] | cs.IR, cs.AI, cs.GR, cs.LG | |
2307.14231v1 | \begin{tabular}{ |c|c|c| }
\hline
Substrates & Normalised Area & Raman Shift (cm$^{-1}$) of quinoid mode \\
\hline
Pristine & 0.8 & 1408 \\
Glass & 2.5 & 1404 \\
PDMS & 4.3 & 1402 \\
\hline
\end{tabular} | Giant conductance of PSS:PEDOT micro-surfaces induced by microbubble lithography | Characteristics of the Raman peak due to the quinoid mode in PEDOT:PSS in the pristine form and after patterning on different substrates. | ['\\newcommand*\\mycommand[1]{\\texttt{\\emph{#1}}}'] | physics.chem-ph, cond-mat.mtrl-sci | |
2311.04148v1 | \begin{tabular}{c c}
\hline
\textbf{Spoof} & \textbf{Number of Images} \\
\hline
DRAGONSKIN & 1700 \\
ECOFLEX & 300 \\
GELAFIX & 100 \\
GELATIN & 100 \\
GLUE & 200 \\
KNETOSIL & 200 \\
LATEX & 100 \\
MOULDABLE-CLAY & 100 \\
MOULDABLE-GLUE & 900 \\
PAPER PRINTOUT & 1200 \\
PLAYDOH & 1700 \\
SILLY-PUTTY & 600... | Contactless Fingerprint Biometric Anti-Spoofing: An Unsupervised Deep Learning Approach | Statisitcs of the COLFISPOOF dataset | null | cs.CV, cs.AI, cs.CR, cs.LG | |
2305.08394v1 | \begin{tabular}{l l l l}
stand\_sce 0 & KAI0-blue & KAI1-blue \\
\hline
KAI0-red & 0.450/114.7 & 0.500/278.3\\
KAI1-red & 0.510/109.1 & 0.470/110.2 \\
\hline
\end{tabular} | More Like Real World Game Challenge for Partially Observable Multi-Agent Cooperation | Results of built-in bots compete against each other in all scenarios of all sub-environments, and the number xxx/xxx means win rate/average time steps used. | null | cs.MA | |
2310.04620v2 | \begin{tabular}{c|c|lll}
\multicolumn{1}{l|}{Dive Type} & Parameter Estimate & Descent & Bottom & Ascent \\ \hline
\multirow{3}{*}{1} & $\hat \mu$ & 0.70 & 0.02 & -0.67 \\
& $\hat \sigma$ & 0.45 & 0.23 & 0.40 \\
& $\hat p$ & ... | Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models | Maximum likelihood parameter estimates from the Killer Whale case study described in the main text. Recall that $D_t$ represents the change in depth in meters at time index $t$ and $E_t \in \{0,1\}$ encodes whether a dive ends at time index $t$. The parameter $\mu$ corresponds to the state-dependent mean of $D_t$, $\si... | ['\\newcommand{\\conditional}[3][]{\\bbE_{#1}\\bigCond*{#2}{#3}}', '\\newcommand{\\argdot}{{\\,\\vcenter{\\hbox{\\tiny$\\bullet$}}\\,}} %generic argument dot', '\\newcommand{\\C}{{\\mathbb{C}}}', '\\newcommand{\\F}{{\\mathcal{F}}}', '\\newcommand{\\R}{{\\mathbb{R}}}', '\\newcommand{\\N}{{\\mathbb{N}}}', '\\newcommand{\... | stat.CO | |
2309.06039v1 | \begin{tabular}{c|c|c|c|c}
\hline
& Water outflow [m$^3$/h] & Volume [m$^3$] & Surface [m$^2$] & Ventilation [m$^3$/h]\\ \hline
Main hall & Top: 0.4, bottom: 70 & 120,000 & 5500 & 52,000 \\ \hline
LS room & 4 & 2700 & 650 & 3000 \\ \hline
Tunnel & 450 & 180,000 & - & 100,000 \\
\hline
\e... | Environmental radon control in the 700-m underground laboratory at JUNO | \label{tab:ventilation} The optimized ventilation inside the experimental hall at the JUNO site from October 2022. The area of the surface includes both the rock and floor, and the ventilation is calculated based on the wind speed shown in Fig.~\ref{fig:ventilation}. | null | physics.ins-det, hep-ex | |
2307.01107v1 | \begin{tabular}{|c c c c c|}
\hline
$A^{(0)}_{HT}$ & $B^{(0)}_{HT}$ & $B1^{(0)}_{HT}$ & $B2^{(0)}_{HT}$ & $\chi^2/d.o.f.$ \\ [0.5ex]
\hline\hline
$-0.335823(2)$ & $-0.5234(2)$ & $-0.179(7)$ & $-0.51(7)$ & $1.89$ \\
\hline
\end{tabular} | Sampling the lattice Nambu-Goto string using Continuous Normalizing Flows | Results for the coefficients of the fit of eq.~(\ref{eq:logZHT2}) (upper table), for the coefficients of eq.~(\ref{eq:perHT}) (middle table) and for the coefficients of eq.~(\ref{eq:logZHT3}) (lower table). | ['\\newcommand{\\dd}{{\\rm{d}}}', '\\newcommand{\\DD}{{\\rm{D}}}', '\\newcommand{\\tmb}[1]{{\\mbox{\\tiny{#1}}}}', '\\newcommand{\\Scl}{S_{\\mbox{\\tiny{cl}}}}', '\\newcommand{\\eq}{\\begin{equation}} ', '\\newcommand{\\en}{\\end{equation}} ', '\\newcommand{\\eqa}{\\begin{eqnarray}}', '\\newcommand{\\ena}{\\end{eqnarra... | hep-lat, cs.LG, hep-th | |
2312.01273v1 | \begin{tabular}{|c|cc|cc|}
\hline
& \multicolumn{2}{c|}{SDPCP}
& \multicolumn{2}{c|}{SDPNAL+} \\
\cline{1-5}
success & 69 & 100.0\% & 69 & 100.0\% \\
fastest & 53 & 76.8\% & 16 & 23.2\% \\
fastest under success & 53 & 76.8\% & 16 & 23.2\% \\
not slower 1.2 times & 60 & 87.0\% & 25 & 36.2\% \\
not slower 1.2 times ... | An Augmented Lagrangian Primal-Dual Semismooth Newton Method for Multi-Block Composite Optimization | A statistic of computational results of SSNCP and SDPNAL+ for theta problems | ['\\newcommand{\\comm}[1]{{\\color{red}#1}}', '\\newcommand{\\revise}[1]{{\\color{blue}#1}}', '\\newcommand{\\T}{\\top}', '\\newcommand{\\E}{\\mathbb{E}}', '\\newcommand\\numberthis{\\addtocounter{equation}{1}\\tag{\\theequation}}', '\\newcommand{\\etal}{ et al. }', '\\newcommand{\\br}{\\mathbb{R}}', '\\newcommand{\\ba... | math.OC | |
2309.05974v1 | \begin{tabular}{|c|c|}
\hline
Decision Variable & References \\ \hline \hline
Blocklength & ,, \\ \hline
Transmit power and blocklength & \\ \hline
Time duration of energy collected & \\ \hline
Blocklength with ARQ & \\ \hline
Bl... | Optimizing Reported Age of Information with Short Error Correction and Detection Codes | A summary of decision variables in previous works on finite-blocklength communication for AoI optimization.
| ['\\newcommand{\\argmax}{\\arg\\!\\max}', '\\newcommand{\\argmin}{\\arg\\!\\min}', '\\newcommand{\\sgn}{\\operatorname{sgn}}', '\\newcommand\\numberthis{\\addtocounter{equation}{1}\\tag{\\theequation}}'] | cs.IT, math.IT | |
2304.05189v1 | \begin{tabular}{l|c|c|c|c}
\multicolumn{5}{c}{Short data}\\
Cosine & General & Conformal & Split & Jackknife \\ \hline
diffpred & 0.57 & 0.34 & 0.39 & 0.98 \\
diffpredr & 0.31 & 0.28 & 0.4 & 0.26 \\
diffpredrs & 0.29 & 0.27 & 0.35 & 0.25 \\
diffpredl & 0.55 & 0.34 & 0.34 & 0.98 \\
diffpredlr & 0.3 & 0.28 & 0.4 & 0.22 \... | Individualized Conformal | Short data cosine | null | stat.ME, stat.OT, 62, G.3 | |
2306.04704v1 | \begin{tabular}{|c|c|c|c|c|c|c|c|}
\hline
Experiment & $N_{\rm dat}$ & Observable & Target & $\sqrt{s}$ [GeV]& $Q^2$ [GeV$^2$] &$y$ & Ref. \\
\hline
\hline
HERA (p) & 136 & $A_{\rm PV}$ for $e^+$ & proton & 319 & 120 - 30000 & 0.033 - 0.9 & \\
\hline
HERA (p) & 138 & $A_{\rm PV}$ for $e^-$ & proton & ... | Signals of strong parity violation in deep inelastic scattering |
Breakdown of the data sets considered in this analysis.
For each data set, the table includes information on: the number of data
points ($N_{\rm dat}$), the measured observable, the hadronic target, the center-of-mass energy $\sqrt{s}$, the covered range(s) in $Q^2$, the inelasticity $y$, and the published refer... | ['\\newcommand{\\dd}{\\mathop{}\\!\\mathrm{d}}', '\\newcommand{\\Pperp}{\\boldsymbol{P}_{hT}}', '\\newcommand{\\PhT}{\\boldsymbol{P}_{hT}}', '\\newcommand{\\kperp}{\\boldsymbol{k}_T}', '\\newcommand{\\Phperp}{\\bm{P}_{hT}}', '\\newcommand{\\bT}{\\xi_T}', '\\newcommand{\\xbj}{x}', '\\newcommand{\\nslash}{n\\kern -0.50em... | hep-ph, hep-ex, nucl-ex, nucl-th | |
2310.12581v1 | \begin{tabular}{ccc|ccc}
\hline
$p'$ & $p''$ & event scale & $A$ & $h^{\rm{A}}(p')$ & $p=f^{A}(p',p'')$ \\
\hline
\multirow{2}{*}{$1-k_{i} e_2$} & \multirow{2}{*}{$1-k_{j} e_2$} & \multirow{2}{*}{$O(1)$ or $O(e_2)$} & $\rm{C}$ & $1-k_{i}e_2$ & $1-e_2$ \\
& & & $\rm{D}$ & $k_{i}e_2$ & $(k_{i}+1)e_2$ ... | Evolutionary stability of cooperation by the leading eight norms in indirect reciprocity under noisy and private assessment | How to calculate $\phi_{t+1}(p)$ from $\phi_{t}(p)$ for Type-1 norms. | ['\\newcommand{\\bs}{\\boldsymbol} % by Fujimoto', '\\newcommand{\\mc}{\\mathcal} % by Fujimoto', '\\newcommand{\\CG}{\\mathrm{CG}} % by Fujimoto', '\\newcommand{\\CB}{\\mathrm{CB}} % by Fujimoto', '\\newcommand{\\DG}{\\mathrm{DG}} % by Fujimoto', '\\newcommand{\\DB}{\\mathrm{DB}} % by Fujimoto', '\\newcommand{\\GG}{\\... | q-bio.PE, cs.GT, cs.MA, physics.soc-ph | |
2312.06579v1 | \begin{tabular}{|c|c|}
\hline
Locker Name & $\%$ Accuracy \\ \hline
\hline
Boson & 98.9 \\
Seth & 92.6 \\
Berlin & 96.1 \\
Grape & 99.3 \\
\hline
\end{tabular} | Amazon Locker Capacity Management | Simulation system accuracy metrics | ['\\newcommand{\\elite}{\\mathcal{E}}'] | math.OC, cs.AI, 68T05, 90B05, 90B06, 90C90, G.1.6; I.2.6; I.2.8; I.6.3 | |
2301.08274v3 | \begin{tabular}{l|c|c}
\hline \hline
Source & \quad $\delta \amuLW$ (\%) \quad & \quad $\delta \amuLWTwo$ (\%) \quad \\
\hline
Monte Carlo statistics & 0.19 & 2.44 \\
Continuum extrapolation ($a \to 0$, $\Delta_{\textrm{TB}}$) & 0.34 & 1.05\\
Finite-volume correction ($\Delta_{\textrm{FV}}$) & 0.16 & 0.23 \\
P... | Light-quark connected intermediate-window contributions to the muon $g-2$ hadronic vacuum polarization from lattice QCD | Approximate error budgets for $\amuLW$ and $\amuLWTwo$. \vspace{1mm} | ['\\newcommand{\\creflastconjunction}{, and\\nobreakspace}', '\\newcommand{\\bi}{\\begin{itemize}}', '\\newcommand{\\ei}{\\end{itemize}}', '\\newcommand{\\ii}{\\item}', '\\newcommand{\\ben}{\\begin{enumerate}}', '\\newcommand{\\een}{\\end{enumerate}} ', '\\newcommand{\\be}{\\begin{equation}}', '\\newcommand{\\ee}{\\end... | hep-lat, hep-ph | |
2307.10618v1 | \begin{tabular}{cccccc}
\hline
\multirow{2}{*}{Monitors} & \multicolumn{5}{c}{Memory size (MB) on frequency intervals} \\
& {[}0,20) & {[}20,40) & {[}40,60) & {[}60,80) & {[}80,100{]} \\ \hline
{\bf Base scan (baseline)} & {\bf 19171} & {\bf 184} & {\bf... | FHPM: Fine-grained Huge Page Management For Virtualization | Full monitoring Results on Redis. | null | cs.OS | |
2307.12707v1 | \begin{tabular}{c l l l}
\hline
Parameters & Value ($n=1$) & Unit & Source\\
\hline
$\Lambda$ & $3032$ & day$^{-1}$ & assumed based on \\
$\beta$ & $0.15\times 10^{-8}$ & day$^{-1}$ & assumed based on \\
$\mu$ & $3.653 \times 10^{-5} $ & day$^{-1}$ & assumed based
... | Dynamics of a mathematical model of virus spreading incorporating the effect of a vaccine | Biologically meaningful parameters used in Fig. \ref{Fig:SIRV}. | ['\\newcommand{\\e}{{\\rm e}}'] | math.DS, q-bio.QM, 00A71 34D20 37M05 37N25 92D30 | |
2311.00820v2 | \begin{tabular}{l c cccc c cccc c cccc}
& & \multicolumn{4}{c}{$\rho = 0.90$} & & \multicolumn{4}{c}{$\rho = 0.95$} & & \multicolumn{4}{c}{$\rho = 0.99$}\\
& & $\beta_1$ & $\beta_2$ & $\beta_3$ & $\beta_4$ & & $\beta_1$ & $\beta_2$ & $\beta_3$ & $\beta_4$ & & $\beta_1$ & $\beta_2$ & $\beta_3$ & $\beta_4$ \\
\textsc{l... | Bayesian inference for generalized linear models via quasi-posteriors | \small Heteroscedastic continuous data example. Frequentist coverage of credible intervals with nominal level $\rho \in \{0.90, 0.95, 0.99\}$ for Gaussian linear model (\textsc{lm}) and quasi-posterior (\textsc{qp}). | ['\\newcommand{\\Y}{\\bm{Y}}', '\\newcommand{\\y}{\\bm{y}}', '\\newcommand{\\X}{\\bm{X}}', '\\newcommand{\\x}{\\bm{x}}', '\\newcommand{\\bmbeta}{\\bm{\\beta}}', '\\newcommand{\\hbmbeta}{\\Hat{\\bm{\\beta}}}', '\\newcommand{\\dd}{\\mathrm{d}}', '\\newcommand{\\var}{\\mathrm{var}}', '\\newcommand{\\E}{\\mathds{E}}', '\\n... | stat.ME | |
2309.08249v1 | \begin{tabular}{|c|c|c|c|}
\hline
& $\check{d}(v,u)$ & $\hat{d}(v,u)$ & $\bar{d}(v)$ \\ \hline
$\beta=0$
& $vu^{-1}$ & $\log(u)$ & $u(\log(v)-1)$ \\
$\beta \in [1,2] $
& $d_{\beta}(v,u)$ & 0 & 0 \\ \hline
\end{tabular} | Deep Nonnegative Matrix Factorization with Beta Divergences | Differentiable convex-concave-constant decomposition of the $\beta$-divergence under the form \eqref{eq:3}~. | ['\\newcommand{\\ngc}[1]{{\\color{brightpink} (\\textbf{NG:} #1)}}', '\\newcommand{\\ngi}[1]{{{\\color{brightpink} #1}}}', '\\newcommand{\\vlc}[1]{{\\color{blue} (\\textbf{VL:} #1)}}', '\\newcommand{\\vli}[1]{{{\\color{blue} #1}}}', '\\newcommand{\\Akwum}[1]{{{\\color{red} Akwum: #1}}}', '\\newcommand{\\hien}[1]{{{\\co... | cs.LG, cs.NA, eess.SP, math.NA, stat.ML | |
2308.15270v2 | \begin{tabular}{cllll}
& $A$ & 118 & 120 & 122 \\\hline
& $Q_\beta$ (keV) & 527(21) & 1770(40) & 2960(50) \\
AME20& $T_{1/2}$ & 50.3(2) m & 50.80(21) s & 5.24(3) s \\
& $\log(ft)$ & 3.93(6) & 4.09(4) & 4.02(4) \\\hline
& $Q_\beta$ (keV) & 587.1(28) & 1752.1(46) & 2861.1(25) \\
JYFLTRAP & $T_{1/2}$ & 50.3(2) m & ... | High-precision Penning-trap mass measurements of Cd and In isotopes at JYFLTRAP remove the fluctuations in the two-neutron separation energies | \label{tab:logft}A comparison of the $\log(ft)$ values for the $^{A}\mathrm{Cd}(0^+_{gs})\longrightarrow$ $^{A}\mathrm{In}(1^+_1)$ decay calculated with the $\log(ft)$ calculator using the $Q_\beta$ and the half-lives $T_{1/2}$ values from AME20/NUBASE20 with the results from JYFLTRAP (this work and Ref. ). | ['\\newcommand*{\\ak}[1]{\\textcolor{blue}{AK: #1}}', '\\newcommand*{\\ms}[1]{\\textcolor{red}{MS: #1}}'] | nucl-ex | |
2310.09302v2 | \begin{tabular}{cl}
\hline
Model ID & Formula \\
\hline
1 & PM25 $\sim$ X \\
2 & \texttt{PM25} $\sim$ \texttt{X + Season} \\
3 & \texttt{PM25} $\sim$ \texttt{X : Season} \\
4 & \texttt{PM25} $\sim$ \texttt{X * Season} \\
5 & \texttt{PM25} $\sim$ \texttt{X + Milano} \\
6 & \texttt{PM25} $\sim$ \texttt{X ... | To what extent airborne particulate matters are influenced by ammonia and nitrogen oxides? | Regression models considered. \\
\texttt{X = lag(PM2.5)+NH3:nl+NOX+T+RH+WS+BLH+RainyDay} | null | physics.ao-ph | |
2305.06056v2 | \begin{tabular}{|c|c|c|c|}
\hline
$n_{1}$ & $n_{2}$ & Effective Hamiltonian \\
\hline
0 & 0 & $E=0$ \\
\hline
0 & 2 & $E=V$ \\
\hline
2 &0 & $E=V$ \\
\hline
2&2&$E=3V$\\
\hline
0&1&$H=J(a_{2}^{\dagger}b_{2}+ {\rm H.c.})$\\
\hline
1&0&$H=J(a_{1}^{\dagger}b_{1}+ {\rm H.c.})$\\
\hline
1&2&$H=J(a_{1}^{\dagger}b_{1}+ {\... | Dynamical localization and slow thermalization in a class of disorder-free periodically driven one-dimensional interacting systems | \label{effHa_twosite} Allowed configurations and the corresponding
effective Hamiltonians for two unit cells at a DL point with $\mu \gg V$ for a
period-4 model. | ['\\newcommand\\bea{\\begin{eqnarray}}', '\\newcommand\\eea{\\end{eqnarray}}', '\\newcommand\\beq{\\begin{equation}}', '\\newcommand\\eeq{\\end{equation}}', '\\newcommand\\bib{\\bibitem}', '\\newcommand{\\new}{\\newpage}', '\\newcommand{\\noi}{\\noindent}', '\\newcommand{\\non}{\\nonumber}', '\\newcommand{\\al}{\\alpha... | cond-mat.stat-mech, cond-mat.dis-nn, cond-mat.str-el | |
2309.02354v2 | \begin{tabular}{c c c c c }
\hline
Brick & Height & Support & Controller & Success Rate\\
\hline
\multirow{8}{*}{1x2} & \multirow{4}{*}{1} & \multirow{4}{*}{Solid} & \multirow{2}{*}{Joint JPC} & (\textbf{100\%} / 96\%)\\
& & & & [\textbf{100\%}/\textbf{100\%}]\\
& & & \multirow{2}{*}{Cartesian JPC}... | A Lightweight and Transferable Design for Robust LEGO Manipulation | \footnotesize Success rate of LEGO brick manipulation. $(\cdot/\cdot):$ assembling and disassembling success rate without safe learning. $[\cdot/\cdot]:$ optimized assembling and disassembling success rate with safe learning.\label{table:EOAT_performance} | ['\\newcommand{\\ie}{\\textit{i}.\\textit{e}., }', '\\newcommand{\\eg}{\\textit{e}.\\textit{g}., }', '\\newcommand{\\st}{\\text{s.t. }}', '\\newcommand\\ruixuan[1]{{\\color{magenta}{#1}}}'] | cs.RO, cs.LG, cs.NE | |
2309.16532v1 | \begin{tabular}{c c | c c}
\hline\hline
\noalign{\smallskip}
BJD & $v_{\rm rad}$ & BJD & $v_{\rm rad}$\\
$-$ 2\,450\,000 &(km\,s$^{-1}$) & $-$ 2\,450\,000 & (km\,s$^{-1}$)\\
\noalign{\smallskip}
\hline
\noalign{\medskip}
9459.6291 & $+$363.2(11) & 9525.4729 & $+$359.0(11)\\
9461.6065 ... | Exploring extreme brightness variations in blue supergiant MACHO 80.7443.1718: Evidence for companion-driven enhanced mass loss | Barycentric radial velocities $v_{\rm rad}$ of the primary component of ExtEV extracted from the SALT/HRS spectra. | ['\\newcommand{\\comm}[1]{\\textcolor{comm}{#1}}', '\\newcommand{\\old}[1]{\\textcolor{old}{#1}}', '\\newcommand{\\new}[1]{\\textcolor{new}{#1}}', '\\newcommand{\\done}[1]{\\textcolor{done}{#1}}', '\\newcommand{\\todo}[1]{\\textcolor{todo}{#1}}', '\\newcommand{\\idea}[1]{\\textcolor{idea}{#1}}', '\\newcommand{\\kms}{km... | astro-ph.SR, astro-ph.HE | |
2309.03486v1 | \begin{tabular}{lcccccc}
config. id & cub. & s. cub. & sph. & s. sph. & cyl. & s. cyl. \\
\hline
1 DEISM & 1.918 & 1.214 & 2.268 & 1.143 & 2.062 & 0.950 \\
1 DEISM-LC & 1.669 & 1.070 & 2.206 & 1.125 & 2.007 & 0.916 \\
\hline
2 DEISM & 1.974 & 1.051 & 2.521 & 1.003 & 1.900 & 0.964 \\
2 DEISM-LC & 1.855 & 1.003 & 2.060 ... | Simulating room transfer functions between transducers mounted on audio devices using a modified image source method | Root-mean-square log spectral distance in decibel between DEISM and FEM, and between DEISM-LC and FEM. (s. denotes small.) | ['\\newcommand{\\round}[1]{\\ensuremath{\\lfloor#1\\rceil}}', '\\newcommand{\\pluseq}{\\mathrel{+}=}', '\\newcommand{\\tc}[1]{\\textcolor{blue}{#1}}'] | eess.AS, cs.SD | |
2306.07228v1 | \begin{tabular}{||c||c|c|c|c|c|c|c| c||}
\hline
~~~ ensemble ~~~ & ~~~ $\beta$ ~~~ & ~~~ $V/a^{4}$ ~~~ & ~~~ $a$\,(fm) ~~~ & ~ $M_{\pi}$\,(MeV) ~ & ~ $M_{D_{s}}$(GeV) ~ & ~ $L$ (fm) ~ & ~ $N_{g}$ ~ & ~ $N_{\rm s}$ ~\\
\hline
cB211.072.64 & $1.778$ & $64^{3}\cdot 128$ & $0.07957~(13)$ & $140.2~(0.2)$ & $... | Spectral-function determination of complex electroweak amplitudes with lattice QCD | \it \small Parameters of the single ETMC ensemble used in this work. We give the lattice spacing $a$, the pion mass $M_\pi$, the $D_{s}$ meson mass $M_{D_{s}}$, the lattice extent $L$, the number of gauge configurations analyzed $N_{g}$, and the number $N_{\rm s}$ of random stochastic sources that have been used for e... | ['\\newcommand{\\be}{\\begin{equation}}', '\\newcommand{\\ee}{\\end{equation}}', '\\newcommand{\\bea}{\\begin{eqnarray}}', '\\newcommand{\\eea}{\\end{eqnarray}}', '\\newcommand{\\bs}{\\boldsymbol}', '\\newcommand{\\beq}{\\begin{equation}}', '\\newcommand{\\eeq}{\\end{equation}}', '\\newcommand{\\msbar}{\\overline{\\foo... | hep-lat | |
2312.08625v1 | \begin{tabular}{|c|c|c|}
\hline
{No.} & {Feature} & {Quantity} \\ \hline
{1.} & {${p}^n$} & {current pressure}\\
{2.} & {${S}^n_w$} & {current water saturation}\\
{3.} & {${k}$} & {permeability}\\
{4.} & {${\phi}$} & {porosity}\\
{5.} & {${V}$} & {cell bulk volume}\\
{6.} & {${D}$} & {... | Graph Network Surrogate Model for Subsurface Flow Optimization | Node features used in the GNSM | ['\\newcommand{\\Ud}{\\mathrm{d}} ', '\\newcommand{\\Bx}{\\mathbf{x}}', '\\newcommand{\\By}{\\mathbf{y}} ', '\\newcommand{\\Bh}{\\mathbf{h}} ', '\\newcommand{\\Ba}{\\mathbf{a}}', '\\newcommand{\\Bb}{\\mathbf{b}}', '\\newcommand{\\Bxstar}{\\mathbf{x}^{*}}', '\\newcommand{\\Bz}{\\mathbf{z}}', '\\newcommand{\\Bxi}{\\bolds... | physics.geo-ph, cs.LG | |
2307.02896v1 | \begin{tabular}{ll|ll}
\hline
Parameter & Value & Parameter & Value\\
\hline
$K$ & 64 & $T_s$ & 5 $\rm \mu$s \\
$G_t^s,\,G_r^s$ & 30 dB & $N_s$ & 16 \\
$G_r^c$ & 30 dB & $\sigma^2$ & -174 dBm/Hz \\
$G_s^c$ & 0 dB & $|a_k|^2$ & 1 W \\
$\eta$ & 1 m$^2$ & $\mu$ & 0.5 \\
\hline
\end{tabular} | Robust Deployment and Resource Allocation for Robotic Aerial Base Station Enabled OFDM Integrated Sensing and Communication | Parameter Settings | null | cs.NI | |
2306.14691v1 | \begin{tabular}{|c|c|c|}
\hline
\textbf{Time width [ms]} & \textbf{Average $\mu$ [V]} & \textbf{Variance $\sigma$ [V]} \\
\hline
0.05 & 2.31 & 0.38 \\
\hline
0.10 & 2.11 & 0.33 \\
\hline
0.15 & 1.86 & 0.30 \\
\hline
0.50 & 1.73 & 0.22 \\
... | Tunable Synaptic Working Memory with Volatile Memristive Devices | Values of $\mu$ and $\sigma$ calculated for different pulse time widths. | ['\\newcommand{\\erika}[1] {{\\color[rgb]{0 0.8 0.4} { \\textbf{Erika:} #1}}}'] | cs.ET | |
2312.16280v1 | \begin{tabular}{|c|c|}
\hline
$\alpha$ & $(a,\sigma)$ \\
\hline
$\beta$ & $(b,\sigma^\prime)$ \\
\hline
$\gamma$ & $(c,\sigma^{\prime\prime})$ \\
\hline
$\alpha^\prime$ & $(a_1,\sigma_1)$ \\
\hline
$\beta^\prime$ & $(a_2,\sigma_2)$ \\
\hline
$\gamma^\prime$ & $(a_3,\sigma_3)$ \\
\hline
$\delta^\prime$ & $(a_4,\si... | Two-particle self-consistent approach for broken symmetry phases | Relation between indices expressed in the compact and extended notations. | ['\\newcommand{\\ket}[1]{\\left|#1\\right>}', '\\newcommand{\\bra}[1]{\\left<#1\\right|}', '\\newcommand{\\LK}[1]{\\textcolor{red}{#1}}', '\\newcommand{\\LC}[1]{\\textcolor{magenta}{#1}}', '\\newcommand{\\LD}[1]{\\textcolor{blue}{#1}}', '\\newcommand{\\up}{\\uparrow}', '\\newcommand{\\dow}{\\downarrow}', '\\newcommand{... | cond-mat.str-el, cond-mat.quant-gas, cond-mat.supr-con | |
2310.17348v1 | \begin{tabular}{|c|c|c|c|}
\hline \multicolumn{4}{|c|}{Inductive} \\
\hline Class Name & Precision & Recall & F1-Score \\
\hline Benign & 26.73\% & 92.18\% & 0.41\\
\hline DDos & 100.00\% & 91.70\% &0.96\\
\hline Dos & 39.13\% & 97.71\% &0.56 \\
\hline Reconnaissance & 99.68\% & 85.08\% & 0.92 \\... | Network Intrusion Detection with Edge-Directed Graph Multi-Head Attention Networks | Multi-class classification results of the proposed EDGMAT on dataset NF-BoT-IoT under the inductive setting. | null | cs.CR | |
2311.13166v1 | \begin{tabular}{c|c|cl|c|c}
\hline
\multicolumn{1}{c|}{\textbf{Type}} & \multicolumn{1}{c|}{\textbf{Device}} & \multicolumn{2}{c|}{\textbf{Comp}} & \textbf{Mem} & \textbf{Num} \\ \hline
Client-Weak & Raspberry Pi 4B & \multicolumn{2}{c|}{ARM Cortex-A72 CPU} & 2G & 4 \\
Client-Medium & Jetson Na... | AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems | Real test-bed platform settings | null | cs.LG, cs.DC | |
2309.01864v2 | \begin{tabular}{c c c c c c}
\hline
Quantity & L1 & L2 & L3 & L4 & L5 \\
\hline
$E_b$ [MeV] & -15.677 & -15.677 & -15.677 & -15.677 & -15.677 \\
$K$ [MeV] & 275 & 275 & 275 & 275 & 275 \\
$J$ [MeV] & 30.7 & 30.7 & 30.7 & 30.7 & 30.7 \\
$L$ [MeV] & 35 & 45 & 55 & 65 & 75 \\
\hline
\end{tabular} | Far-from-equilibrium bulk-viscous transport coefficients in neutron star mergers | \label{L EoS nuclear} Nuclear properties of our EoSs L1 to L5. $E_b$ is the binding energy. $K$ is the nuclear compressibility. $J$ is the nuclear symmetry energy. $L$ is the slope of the nuclear symmetry energy. See for details on constraints on nuclear-matter properties. | ['\\newcommand{\\cA}{\\mathcal A}', '\\newcommand{\\cB}{\\mathcal B}', '\\newcommand{\\cC}{\\mathcal C}', '\\newcommand{\\cD}{\\mathcal D}', '\\newcommand{\\cE}{\\mathcal E}', '\\newcommand{\\cF}{\\mathcal F}', '\\newcommand{\\cG}{\\mathcal G}', '\\newcommand{\\cH}{\\mathcal H}', '\\newcommand{\\cI}{\\mathcal I}', '\\n... | nucl-th, astro-ph.HE, hep-ph | |
2311.01879v1 | \begin{tabular}{l c c c c c c c c c}
\hline
& ID & Cr & Al & Ti & Y & C & O & N & Ar \\
\hline
Fe12Cr9Al & SP12 & 11.93 & 8.65 & 0.53 & 0.38 & 0.029 & 0.22 & 0.003 & 0.006 \\
Fe15Cr9Al & SP13 & 14.25 & 8.4 & 0.51 & 0.38 & 0.03 & 0.22 & 0.003 & 0.006 \\
Fe18Cr9Al & SP14 & 16.63 & 8.09 & 0.49 & 0.37 & 0.032 & 0.22... | Effects of Cr content on ion-irradiation hardening of FeCrAl ODS ferritic steels with 9 wt\% Al | Chemical compositions of FeCrAl ODS ferritic steels (wt\%, Bal. Fe) | null | cond-mat.mtrl-sci | |
2310.08941v1 | \begin{tabular}{lccc}
\hline
\hline
$\alpha$ & Silicate & Carbonate & Iron \\
\hline
$-3.5$ & 1.5$\times 10^{-14}$ & 1.0$\times 10^{-14}$ & 3.6$\times10^{-14}$\\
$-3.0$ & 6.0$\times 10^{-12}$ & 4.1$\times 10^{-12}$ & 1.4$\times10^{-11}$\\
$-2.5$ & 3.0$\times 10^{-9}$ & 2.0$\times 10^{-9}$ & 7.... | Polarized microwave emission from space particles in the upper atmosphere of the Earth | Nominal spatial density distribution $\rho_\mathrm{d}$ (g\,cm$^{-3}$) for each dust
family and size distribution. | null | astro-ph.EP, astro-ph.IM, physics.space-ph | |
2312.07208v1 | \begin{tabular}{c c c}
\hline
ML algorithm & Training time in s & Prediction time in s\\
\hline
Linear CLF & 0.6493 & 0.0035\\
KNN & 0.1562 & 0.0040 \\
SVC & 0.6760 & 0.3854 \\
CLT & 0.6452 & 0.0045 \\
RFC & 0.7884 & 0.0080 \\
VAE-NN & 34.3143 & 0.0872\\
VAE-GAN & 1074.3471 & 0.1285\\
\e... | Experimental Investigation of Machine Learning based Soft-Failure Management using the Optical Spectrum | Execution time of different ML algorithms for soft-failure identification. | null | cs.NI, cs.LG | |
2312.03121v2 | \begin{tabular}{|c|ll|}
\multicolumn{3}{c}{\bf Approval(k=5)}\\
\hline
Rank & Agent & Score\\
\hline
1 & {\tt text-davinci-003} & 4\\
2 & {\tt Cohere Command beta (52.4B)} & 4\\
3 & {\tt text-davinci-002} & 3\\
4 & {\tt TNLG v2 (530B)} & 3\\
5 & {\tt Anthropic-LM v4-s3 (52B)} & 3\\
6 & {\tt YaLM (100B)} & 2\\
7 & {\tt ... | Evaluating Agents using Social Choice Theory | VasE methods Approval, Borda, and Copeland on HELM Core Scenarios. \label{tab:helm-core-full1} | ['\\newcommand{\\argmin}{\\operatornamewithlimits{argmin}}', '\\newcommand{\\argmax}{\\operatornamewithlimits{argmax}}', '\\newcommand{\\BR}{\\textsc{BR}}', '\\newcommand{\\bE}{\\mathbb{E}}', '\\newcommand{\\bI}{\\mathbb{I}}', '\\newcommand{\\ba}{\\mathbf{a}}', '\\newcommand{\\bpi}{\\bar{\\pi}}', '\\newcommand{\\pik}{{... | cs.AI, cs.GT, cs.MA | |
2312.17414v1 | \begin{tabular}{|p{3.5cm}|p{3.5cm}|p{3.5cm}|}
\hline
\multicolumn{3}{|c|}{\textbf{4D Extended Flips}} \\
\hline
$1D \Rightarrow 4D$ & $2D \Rightarrow 4D$ & $3D \Rightarrow 4D$\\
\hline
$(1 \rightarrow 2) \Rightarrow (4 \rightarrow 8)$ & $(1 \rightarrow 3) \Rightarrow (3 \rightarrow 9)$ & $(1 \rightarrow 4) \Rightarrow ... | Space-time hypervolume meshing part 1: Point insertion, geometric predicates, and bistellar flips | Lower dimensional flips extended to four dimensions. The * indicates that the $(8 \rightarrow 8)$ flip has three different realizations. | ['\\newcommand{\\bbold}{\\bm{b}}', '\\newcommand{\\ebold}{\\bm{e}}', '\\newcommand{\\fbold}{\\bm{f}}', '\\newcommand{\\gbold}{\\bm{g}}', '\\newcommand{\\hbold}{\\bm{h}}', '\\newcommand{\\Lbold}{\\bm{L}}', '\\newcommand{\\Tbold}{\\bm{T}}', '\\newcommand{\\nbold}{\\bm{n}}', '\\newcommand{\\nhatbold}{\\hat{\\bm{n}}}', '\\... | math.NA, cs.NA, 65M50, 52B11, 31B99, 76M10 | |
2312.07665v1 | \begin{tabular}{l|c|c|c|}\hline \hline
&$\sigma$ [pb]&$\delta$(PDF)&$\delta$(scale)
\\ \hline
NNLO (QCD) &0.624& ${}^{+0.008}_{-0.010}$&${}^{+0.002}_{-0.002}$\\
\hline
NNLO (QED) &0.621& ${}^{+0.008}_{-0.010}$&${}^{+0.001}_{-0.002}$\\
\hline
N${}^3$LO (QCD, NNLO PDF) &0.618& ${}^{+0.008}_{-0.010}$&${}^{+0.002}_{-0.0... | Combining QED and Approximate N${}^3$LO QCD Corrections in a Global PDF Fit: MSHT20qed_an3lo PDFs | \sf $W^- H$ cross section predictions at $\sqrt{s}=$ 14 TeV and their corresponding PDF and scale uncertainties (with the central scale $\mu_F=\mu_R=M_{WH}$. Cross sections are calculated with \texttt{n3loxs}~, while the scale uncertainty is calculated using the 7--point variation described in this reference. | ['\\newcommand{\\LHL}[1]{\\textcolor{blue}{\\bf[NOTE: LHL -- #1]}}', '\\newcommand{\\TC}[1]{\\textcolor{green}{\\bf[NOTE: TC -- #1]}}', '\\newcommand{\\RST}[1]{\\textcolor{red}{\\bf[NOTE: RST -- #1]}}', '\\newcommand{\\bs}[1]{\\boldsymbol{#1}}', '\\newcommand{\\MSbar}{\\overline{\\text{MS}}}', '\\newcommand{\\anlo}{a${... | hep-ph, hep-ex | |
2312.13962v1 | \begin{tabular}{|l|c|c||l|c|c|}
\hline
$j_{\mathrm{eff}}$ & 3 band & 5 band & $d$ & 3 band & 5 band \\
\hline
\hline
$ \left| 3/2,1/2 \right\rangle$ & 0.987 & 0.985 & $\left| d_{xz} \right\rangle$ & 0.814 & 0.803\\
$ \left| 3/2,3/2 \right\rangle$ ... | The rich phase diagram of the prototypical iridate Ba$_2$IrO$_4$: Effective low-energy models and metal-insulator transition |
%
Band fillings within DMFT.
%
For both models, the fillings are reported with respect to the $j_{\mathrm{eff}}$ basis (left) and the orbital basis (right) respectively.
%
The calculations used cRPA values for the Coulomb tensor and $\beta = 80$ eV$^{-1}$. | ['\\newcommand{\\R}{\\textbf{R}}', '\\newcommand{\\cdag}{\\hat{c}^{\\dagger}}', '\\newcommand{\\bairo}{Ba$_2$IrO$_4$}', '\\newcommand{\\jeff}{$j_{\\mathrm{eff}}=1/2$}', '\\newcommand{\\JEFF}{$j_{\\mathrm{eff}}=3/2$}', '\\newcommand{\\jeffT}{$\\tilde{j}_{\\mathrm{eff}}=1/2$}', '\\newcommand{\\JEFFT}{$\\tilde{j}_{\\mathr... | cond-mat.str-el, cond-mat.mtrl-sci | |
2312.07018v1 | \begin{tabular}{|l|r|c|c|c|c|c|c|c}
\hline
$~~\gamma$ & $-0.2~~~$ & $-0.1$ & $0$ & $0.1$ & $0.2$ \\
\hline
$~~b_{c_{1}}$ & $5.01561$ & $5.10779$ & $5.19615$ & $5.28114$ & $5.36311$ \\
\hline
$~~r_{ph_{1}}$ & $2.86015$ & $2.93178$ & $3$ & $3.06525$ & $3.12788$ \\
\hline
$~~b_{c_{2}}$ & $6.08691$ ... | Observational appearance and additional photon rings of the Horndeski asymmetric thin-shell wormhole | The critical impact parameter $b_{c_{i}}$ of the Horndeski ATW for various values of the parameter $\gamma$. We set $M_{1}=1$ and $M_{2}=1.2$. | null | gr-qc | |
2310.10526v2 | \begin{tabular}{|r|r r r r r r|}
\hline
$h_1$ & $10^{-4}$ & $10^{-5}$ & $10^{-6}$ & $10^{-7}$ & $10^{-8}$ & $10^{-9}$ \\
\hline
$s\,\backslash\,N$ & 626 & 857 & 1088 & 1320 & 1551 & 1783\\
\hline
1~~~~ & *** & *** & *** & *** & **... | A spectrally accurate step-by-step method for the numerical solution of fractional differential equations | \label{tab1} Maximum error for Problem (\ref{prob1}), $r=1.01$ and $k=30$. | null | math.NA, cs.NA, 65L05, 65L03, 65L99 | |
2312.07815v1 | \begin{tabular}{lcccccc} \hline
\rule{0pt}{10pt}
& \MC{2}{c}{AGC227973=J1250+0520 } % \\ \hline
& \MC{2}{c}{PGC1264260=J1253+0409 } % \\ \hline
& \MC{2}{c}{UGC08055=J1256+0348 } \\ \hline
\rule{0pt}{10pt}
$\lambda_{0}$(\AA) Ion & F($\lambda$)/F(H$\beta$)&I($\lambda$)/I(H$\beta$) & F($\lambda$)/F(H$\beta$... | Dwarfs in nearby voids: results of SALT spectroscopy | Line intensities and derived parameters of AGC227973, PGC1264260 and UGC08055 | ['\\newcommand{\\apj}{ApJ}', '\\newcommand{\\apjl}{ApJL}', '\\newcommand{\\aap}{A\\&A}', '\\newcommand{\\aaps}{A\\&AS}', '\\newcommand{\\aj}{AJ}', '\\newcommand{\\mnras}{MNRAS}', '\\newcommand{\\nat}{Nature}', '\\newcommand{\\pasp}{PASP}', '\\newcommand{\\apjs}{ApJS}', '\\newcommand{\\MC}{\\multicolumn}', '\\newcommand... | astro-ph.GA | |
2307.00393v1 | \begin{tabular}{c|cc|cc}
\hline
& \multicolumn{2}{c|}{Seen Speaker} & \multicolumn{2}{c}{Unseen Speaker} \\ \hline
& \multicolumn{1}{c|}{Same Language} & Different Language & \multicolumn{1}{c|}{Same Language} & Different Languag... | Using joint training speaker encoder with consistency loss to achieve cross-lingual voice conversion and expressive voice conversion | Naturalness MOS of XVC | null | eess.AS | |
2312.07510v1 | \begin{tabular}{|c|c|}
\hline
Parameter & Value \\
\hline
$\beta_e$ & $0.5$ \\
$\beta_\mu$ & $0.0$ \\
$\beta_\tau$ & $2.5$ \\
$\lambda_{dark}$ & $5$ \\
$\kappa$ & $-1$ \\
$M_N$ & $50$[GeV]\\
$M_{med}$ & $200-800$[GeV]\\
\hline
\end{tabular} | Chasing leptophilic dark fermions at CLIC: the role of helicity | Parameter setting for the simulations, note that $\kappa$ is a non-minimal gauge interaction that is present only in the vector mode, see Ref. for details. | null | hep-ph | |
2310.14571v1 | \begin{tabular}{llcclcrrrrl}
\hline
\hline
GLEAM name & S$_{162}$ & MRC name & Type & $z$ & FLASH & NSI\_fit & NSI\_err & LAS$_{\rm 5GHz}$\\
& (Jy) & & & & components & IPS & IPS & (arcsec) \\
(1) & (2) & (3) & (4) & (5) & (6) & (7) & (8) & (9) \\
\hline
\hline
J234045-230243 & 1... | The FLASH pilot survey: an HI absorption search against MRC 1-Jy radio sources | continued.. | ['\\newcommand{\\kms}{km\\,s$^{-1}$} % kilometres per second', '\\newcommand{\\HI}{H{\\sc i}}', '\\newcommand{\\bibtex}{\\textsc{Bib}\\!\\TeX} % bibtex. ', '\\newcommand\\mjyb{mJy beam$^{-1}$}', '\\newcommand\\Msun{M$_{\\odot}$}', '\\newcommand\\Lsun{L$_{\\odot}$}', '\\newcommand\\cmc{cm$^{-3}$}', '\\newcommand\\hi{\\m... | astro-ph.GA | |
2309.04000v1 | \begin{tabular}{llllllll}%{p{10pt}p{50pt}p{10pt}p{50pt}p{10pt}p{50pt}p{20pt}p{100pt}}
\hline
$E_1$ & 100 GPa & $E_2$ & 100 GPa & $G_{12}$ & 40 Gpa & $\nu_{12}$ & 0.25\\
$\nu_{23}$ & 0.25 & $l_0$ & $1\times10^{-2}$ m & $\alpha_r$ &0.002 & $\rho_{r}$ & $1.0\times10^{3}$ kg/m$^3$ \\
$k$ &$1\times10^{-9}$ & $c_1$ & 0.4... | Phase field modeling of hydraulic fracture propagation in transversely isotropic poroelastic media | Parameters for an isotropic specimen subjected to internal fluid pressure | null | physics.geo-ph | |
2303.14280v1 | \begin{tabular}{l|ccc}
Molecule & $N_A$ & $N_b$ & $N_\mathrm{aux}$ \\
\hline\hline
Taxol & 113 & 1,032 & 3,599\\
Olestra & 453 & 3,181 & 11,633\\
Crambin & 642 & 5,559 & 19,500\\
Ubiquitin & 1,231 & 10,292 & 36,419
\end{tabular} | Distributed Memory, GPU Accelerated Fock Construction for Hybrid, Gaussian Basis Density Functional Theory | Representative systems considered in this study. $N_A$ is the number of atoms, $N_b$ is given for Cartesian 6-31G(d) and
$N_\mathrm{aux}$ for def2-tzvp-j. | ['\\newcommand{\\mat}[1]{\\ensuremath\\mathbf{#1}}', '\\newcommand{\\matspace}[3]{\\ensuremath\\mathbb{#1}^{#2 \\times #3}}', '\\newcommand{\\nbas}[0]{\\ensuremath N_b}', '\\newcommand{\\ngrid}[0]{\\ensuremath N_g}', '\\newcommand{\\needcite}{[{\\color{red} cite}]}', '\\newcommand{\\dbwy}[1]{\\textcolor{red}{DBWY:{#1}}... | physics.comp-ph, physics.chem-ph | |
2307.15204v1 | \begin{tabular}[c]{lccccc}\\
%\hline
Estimator & Effects & Emp.Estimates & Emp.Var & Emp.S.D. & Var Estimate \\
\hline
$ \widehat{\delta}_{{HT,tot}}$ & 7 & 7.1931 & 9.6277 & 3.1028 & 11.2033 \\
$ \widehat{\delta^*}_{{HT,tot}}$ & 7 & 7.1931 & 9.6277 & 3.1028 & 11.2033 \\
$\widehat{\d... | Estimation of Causal Effects Under K-Nearest Neighbors Interference | Estimates Under Bernoulli Randomization Model 8 | ['\\newcommand{\\blind}{1}', '\\newcommand{\\nn}{\\nonumber}'] | stat.ME | |
2309.13498v1 | \begin{tabular}{|p{0.10\linewidth}|p{0.15\linewidth}|p{0.15\linewidth}|p{0.10\linewidth}|p{0.15\linewidth}|p{0.15\linewidth}|}
\hline
\textbf{Differences} & \textbf{Goal} & \textbf{Model} & \textbf{Roles} & \textbf{Protocol} & \textbf{Recovery} \\
\hline
CFT & Ensure system reliability despite crash failures & ... | Consensus Algorithms of Distributed Ledger Technology -- A Comprehensive Analysis | Comparison of CFT Family In Term of Operations. | null | cs.DC, cs.CR | |
2311.05170v1 | \begin{tabular}{cccccccc}
\hline
$h $ & $|\vec{u}_c -\vec{u}_{ch}^{n+1}|_1$ &
Rate &
$|p_F -p_{Fh}^{n+1}|_1$&
Rate &
$\|p_f -p_{fh}^{n+1}\|_0$&
Rate \\
\hline
$\frac{1}{16} $ & 0.146752 & -- & 0.063144 &-- &0.001342 & --
\\
$\frac{1}{25} $ & 0.090678 & 1.08 & 0.043460 &0.84 &0.000612 & 1.76 \\
$... | A Local Parallel Finite Element Method for Super-Hydrophobic Proppants in a Hydraulic Fracturing System Based on a 2D/3D Transient Triple-Porosity Navier-Stokes Model | \label{T4}The convergence performance and computational cost of Algorithm \ref{Algorithm-1}(Traditional Algorithm) in 3D | ['\\newcommand*{\\abs}[1]{\\lvert#1\\rvert}', '\\newcommand*{\\norm}[1]{\\lVert #1 \\rVert}', '\\newcommand*{\\tnorm}[1]{\\interleave#1\\interleave}', '\\newcommand*{\\bi}[1]{\\textbf{\\emph{#1}}}', '\\newcommand*{\\tu}[1]{\\textup{#1}}', '\\newcommand\\mathd{d}', '\\newcommand\\bsm{\\boldsymbol}', '\\newcommand{\\curl... | math.NA, cs.NA | |
2309.15380v1 | \begin{tabular}{c c c c c c} \hline\hline
~~~~Coupled-structure~~~~& ~~~~~~~$E_{th}^{Theo}$ (Channel)~~~~~~~ & ~~~~~~$E_{cc}$~~~~~~ & ~~~~~~~$E_{B}$~~~~~~~ & ~~~~~~$E_{th}^{Exp}$~~~~~~ & ~~~~~$E'$~~~~~ \\ \hline
$qss-\bar{q}c$ & 3235 ($\Xi D$) & 3237 & ub & 3187 & 3190... | Investigating excited $Ω_c$ states from pentaquark perspective | \label{cc 1/2}The coupled-channel energies of the $ssc\bar{q}q$ pentaquark system with $J^P=\frac{1}{2}^-$ (unit: MeV). | null | hep-ph, nucl-th | |
2311.15820v1 | \begin{tabular}{ |p{4cm}||p{3cm}|p{3cm}| }
\hline
& Wind energy&Solar energy\\
\hline
Average production 12am-7am (MWh) and $\%$ & 600 MWh /37.69$\%$ &7 MWh /1.01$\%$\\
\hline
Average production 7am-7pm (MWh) and $\%$& 601 MWh /37.75$\%$ & 676 MWh /97.97$\%$\\
\hline
Average $\%$ of the daily demand &... | Meeting Energy Needs by Balancing Cost and Sustainability through Linear Programming | Production based on the time of the day | null | math.OC, 90C05 | |
2310.16095v1 | \begin{tabular}{p{0.97\columnwidth}}
% \label{nonexplainable}
\hline
\textbf{Section of Industry} -
{{Example}} {{[Document]}} \\
\hline
\hline
\textbf{Consumer Non-Durables} - Total general and administrative costs decreased by \$79,000 in 1995 due primarily to the absence of a management ... | CR-COPEC: Causal Rationale of Corporate Performance Changes to Learn from Financial Reports | Examples of non-causal rationale of sentences by each section. | ['\\newcommand{\\revised}[1]{\\textcolor{black}{#1}}', '\\newcommand\\BibTeX{B\\textsc{ib}\\TeX}'] | cs.CL, cs.CE | |
2308.09075v1 | \begin{tabular}{|l|l|}
\hline
Type & Variable \\
\hline
\multirow{3}{*}{Vertiport States} & Availability - $P_a$ \\
& Port type - $P_t$ \\
& Location - $(x_p, y... | Fast Decision Support for Air Traffic Management at Urban Air Mobility Vertiports using Graph Learning | MDP formulation | ['\\newcommand{\\vport}{vertiport} % What we call a vertiport ', '\\newcommand{\\port}{helipad} % What we call a port inside of the vertiport', '\\newcommand{\\lenactions}{11 actions} %This number keeps changing', '\\newcommand{\\learningrate}{$1E-5$}', '\\newcommand{\\threshold}{3 meters}'] | cs.MA, cs.AI, cs.LG, cs.RO | |
2303.14510v1 | \begin{tabular}{c|c|lllllll}
\hline \hline
\multirow{2}{*}{\textbf{Dataset}} & \multirow{2}{*}{\textbf{u}} &
\multicolumn{6}{c}{\textbf{\# minimum utility by varying $k$}} \\ \cline{3-8}
& &$k_1$ & $k_2$ & $k_3$ & $k_4$ & $k_5$ & $k_6$ \\ \hline
chainstore & $u_1$ & 1643,851 & 697,152 & 488,009 & 407,079 &... | Targeted Mining of Top-k High Utility Itemsets | The minimum utility of TMKU with different $k$ values | null | cs.DB | |
2311.06714v1 | \begin{tabular}{ccccc} \textbf{Review Group} & \textbf{Median} & \textbf{Mean} & \textbf{Std.} \\
\hline
Popular & 1.9\% & 2.12\% & 1.73\%\\
Non-Popular & 1.60\% & 1.87\% & 2.18\% \\
\hline
\end{tabular} | What factors influence the popularity of user-generated text in the creative domain? A case study of book reviews | The presence of named-entity | null | cs.CL, cs.IR | |
2304.04372v1 | \begin{tabular}{c|c|c|c||c|c|c||c|c|c}
\hline\hline
Estimator & SV1F & SV2F & RH & SV1F & SV2F & RH & SV1F & SV2F & RH\\
\hline\hline
& \multicolumn{3}{c||}{d=5, $\bar{\sigma}_\eta=3$} & \multicolumn{3}{c||}{d=5, $\bar{\sigma}_\eta=3.5$} & \multicolumn{3}{c}{d=5, $\bar{\sigma}_\eta=4$}\\
\hline
PDF & 100\... | Symmetric positive semi-definite Fourier estimator of instantaneous variance-covariance matrix | \% of psd matrix produced by each estimator, when the efficient price process is produced by alternative models, in presence of heteroskedastic noise. | null | stat.ME, q-fin.ST | |
2306.13428v1 | \begin{tabular}{lcccc}
& $\alpha$ & $I$ & $\eta$ & $m$\\
\hline
NGD (Algorithm \ref{algo:NGD}) &0.990 &10000 &0.003 &- \\
rMLE (Algorithm \ref{algo:rMLE.b}) &0.975&- &- &- \\
ONGD (Algorithm \ref{algo:ONGD}) &- &- &0.001 &100 \\
\end{tabular} | On tracking varying bounds when forecasting bounded time series | Hyperparameter values for each algorithm: forgetting factor $\alpha$, number of iterations $I$, learning rate/step size $\eta$ and minibatch size $m$. | ['\\newcommand{\\blind}{0}'] | stat.ML, cs.LG, stat.AP | |
2304.13128v3 | \begin{tabular}{lccc}
\hline
\textbf{Model} & \textbf{Training Time} & \textbf{MAE} &\textbf{MAPE}\\
\hline
IV-ANN & 446.204831 & $2.3235e^{-5}$ &$0.044106\%$ \\
GAN-2 & 209.194824 & $2.1376e^{-5}$ & $0.039810\%$\\
\hline
\end{tabular} | Computing Volatility Surfaces using Generative Adversarial Networks with Minimal Arbitrage Violations | Timing and error comparison between GAN-2 and IV-ANN | null | q-fin.CP | |
2309.13498v1 | \begin{tabular}{|p{0.10\linewidth}|p{0.05\linewidth}|p{0.05\linewidth}|p{0.05\linewidth}|p{0.05\linewidth}|p{0.05\linewidth}|p{0.05\linewidth}|p{0.05\linewidth}|p{0.05\linewidth}|p{0.05\linewidth}|p{0.08\linewidth}|p{0.05\linewidth}|}
\hline
\textbf{Attributes} & \textbf{Hard.} & \textbf{Trust } & \textbf{Toler.} &... | Consensus Algorithms of Distributed Ledger Technology -- A Comprehensive Analysis | Candidates List 3. | null | cs.DC, cs.CR | |
2308.13642v1 | \begin{tabular}{||c |c |c |c|c||}
\hline
\textbf{Model} &\textbf{Entanglement Scheme} & \textbf{Dimensionality Reduction} & \textbf{Accuracy} & \textbf{F-Score} \\ [0.5ex]
\hline\hline
XG Boost &None & None & 51.58\% & 58.18\% \\
\hline
SVM & None & PCA-3 & 51.58\% & 5... | The Potential of Quantum Techniques for Stock Price Prediction | Best Models for Honeywell dataset | null | q-fin.CP | |
2312.00705v1 | \begin{tabular}{lcrrrrc}
%\hline
%\textbf{Molecule}
& \textbf{Coupling} & \textbf{CC3$^a$} & \textbf{CCSD$^a$} & \textbf{SOPPA} & \textbf{HRPA(D)} & \textbf{exp$^b$} \\ \hline
CO & $^1J_{CO}$ & 14.62 & 15.07 & 20.26 & 18.40 & 16.4 \\ \hline
%OF$_2$ & $^2J_{FF}$ & 1327.34 & 1211.78 & 1416.08 & 773.52 & \\
% &... | On the performance of HRPA(D) for NMR spin-spin coupling constants: Smaller molecules, aromatic and fluoroaromatic compounds | All the calculated SSCCs (in Hz) for set I including known experimental values. | ['\\newcommand\\spas[1]{\\color{red} #1\\normalcolor}'] | physics.chem-ph | |
2304.07620v1 | \begin{tabular}{l|c|c|c}
\hline
\multicolumn{4}{c}{\textbf{Temperature Anomaly under RCP 4.5 at 2300: Methane Oxidation Inclusion}} \\ \hline
Scenario & From Permafrost (1) & None (2) & From Permafrost, Fossil Fuels (3) \\ \hline
Baseline & 3.90 & 3.90 & 3.93\\
1\% & 3.90 & 3.89 & 3.92 \\
10\% & 3.89 & 3.89 & 3.92... | Effect of Methane Mitigation on Global Temperature under a Permafrost Feedback | Temperature anomaly at 2300 between differing inclusions of methane oxidation. We compare different inclusions between the baseline RCP 4.5, and 1\% and 10\% annual methane emission reduction scenarios. Column (1) shows inclusion of methane oxidation from permafrost methane emissions. Column (2) reflects no methane oxi... | ['\\newcommand{\\coo}{\\ensuremath{\\mathrm{CO_2}} }', '\\newcommand{\\meth}{\\ensuremath{\\mathrm{CH_4}} }', '\\newcommand{\\nit}{\\ensuremath{\\mathrm{N_2O}} }', '\\newcommand{\\NPP}{\\ensuremath{\\mathrm{NPP}} }', '\\newcommand{\\RH}{\\ensuremath{\\mathrm{RH}} }', '\\newcommand{\\soo}{\\ensuremath{\\mathrm{SO_2}} }'... | physics.ao-ph, math.DS |
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