cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
End-to-end Optimization of Machine Learning Prediction Queries
Creators: name: Park, Kwanghyun
name: Saur, Karla
name: Banda, Dalitso
name: Sen, Rathijit
name: Interlandi, Matteo
name: Karanasos, Konstantinos
Publisher: name: arXiv
Year: 2022
Subjects: subject: Databases (cs.DB)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Prediction queries are widely used across industries to perform advanced analytics and draw insights from data. They include a data processing part (e.g., for joining, filtering, cleaning, featurizing the datasets) and a machine learning (ML) part invoking one or more trained models to perform predictions. These parts have so far been optimized in isolation, leaving significant opportunities for optimization unexplored. We present Raven, a production-ready system for optimizing prediction queries. Raven follows the enterprise architectural trend of collocating data and ML runtimes. It relies on a unified intermediate representation that captures both data and ML operators in a single graph structure to unlock two families of optimizations. First, it employs logical optimizations that pass information between the data part (and the properties of the underlying data) and the ML part to optimize each other. Second, it introduces logical-to-physical transformations that allow operators to be executed on different runtimes (relational, ML, and DNN) and hardware (CPU, GPU). Novel data-driven optimizations determine the runtime to be used for each part of the query to achieve optimal performance. Our evaluation shows that Raven improves performance of prediction queries on Apache Spark and SQL Server by up to 13.1x and 330x, respectively. For complex models where GPU acceleration is beneficial, Raven provides up to 8x speedup compared to state-of-the-art systems.
Bavard duality for the relative Gromov seminorm
Creators: name: Marchand, Alexis
Publisher: name: arXiv
Year: 2023
Subjects: subject: Geometric Topology (math.GT)
subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: 20J05, 57M07, 55M05

description: The relative Gromov seminorm is a finer invariant than stable commutator length where a relative homology class is fixed. We show a duality result between bounded cohomology and the relative Gromov seminorm, analogously to Bavard duality for scl. We give an application to computations of scl in graphs of groups. We also explain how our duality result can be given a purely algebraic interpretation via a relative version of the Hopf formula. Moreover, we show that this leads to a natural generalisation of a result of Calegari on a connection between scl and the rotation quasimorphism.
description: 33 pages, 8 figures. v2: background on the relative Gromov seminorm and bounded cohomology significantly expanded following editor's comments, new section (4) on an application to scl in graphs of groups. To appear in Enseign. Math
Optimizing Autonomous Transfer Hub Networks: Quantifying the Potential Impact of Self-Driving Trucks
Creators: name: Lee, Chungjae
name: Dalmeijer, Kevin
name: Van Hentenryck, Pascal
name: Zhang, Peibo
Publisher: name: arXiv
Year: 2023
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: Autonomous trucks are expected to fundamentally transform the freight transportation industry. In particular, Autonomous Transfer Hub Networks (ATHNs), which combine autonomous trucks on middle miles with human-driven trucks on the first and last miles, are seen as the most likely deployment pathway for this technology. This paper presents a framework to optimize ATHN operations and evaluate the benefits of autonomous trucking. By exploiting the problem structure, this paper introduces a flow-based optimization model for this purpose that can be solved by blackbox solvers in a matter of hours. The resulting framework is easy to apply and enables the data-driven analysis of large-scale systems. The power of this approach is demonstrated on a system that spans all of the United States over a four-week horizon. The case study quantifies the potential impact of autonomous trucking and shows that ATHNs can have significant benefits over traditional transportation networks.
Laser-Plasma Ion Beam Booster Based on Hollow-Channel Magnetic Vortex Acceleration
Creators: name: Garten, Marco
name: Bulanov, Stepan S.
name: Hakimi, Sahel
name: Obst-Huebl, Lieselotte
name: Mitchell, Chad E.
name: Schroeder, Carl
name: Esarey, Eric
name: Geddes, Cameron G. R.
name: Vay, Jean-Luc
name: Huebl, Axel
Publisher: name: arXiv
Year: 2023
Subjects: subject: Accelerator Physics (physics.acc-ph)
subject: Computational Physics (physics.comp-ph)
subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: Laser-driven ion acceleration provides ultra-short, high-charge, low-emittance beams, which are desirable for a wide range of high-impact applications. Yet after decades of research, a significant increase in maximum ion energy is still needed. This work introduces a quality-preserving staging concept for ultra-intense ion bunches that is seamlessly applicable from the non-relativistic plasma source to the relativistic regime. Full 3D particle-in-cell simulations prove robustness and capture of a high-charge proton bunch, suitable for readily available and near-term laser facilities.
description: 4 pages, 4 figures, under peer review
Finding emergence in data by maximizing effective information
Creators: name: Yang, Mingzhe
name: Wang, Zhipeng
name: Liu, Kaiwei
name: Rong, Yingqi
name: Yuan, Bing
name: Zhang, Jiang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Quantifying emergence and modeling emergent dynamics in a data-driven manner for complex dynamical systems is challenging due to the lack of direct observations at the micro-level. Thus, it's crucial to develop a framework to identify emergent phenomena and capture emergent dynamics at the macro-level using available data. Inspired by the theory of causal emergence (CE), this paper introduces a machine learning framework to learn macro-dynamics in an emergent latent space and quantify the degree of CE. The framework maximizes effective information, resulting in a macro-dynamics model with enhanced causal effects. Experimental results on simulated and real data demonstrate the effectiveness of the proposed framework. It quantifies degrees of CE effectively under various conditions and reveals distinct influences of different noise types. It can learn a one-dimensional coarse-grained macro-state from fMRI data, to represent complex neural activities during movie clip viewing. Furthermore, improved generalization to different test environments is observed across all simulation data.
DotMat: Solving Cold-start Problem and Alleviating Sparsity Problem for Recommender Systems
Creators: name: Wang, Hao
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Cold-start and sparsity problem are two key intrinsic problems to recommender systems. During the past two decades, researchers and industrial practitioners have spent considerable amount of efforts trying to solve the problems. However, for cold-start problem, most research relies on importing side information to transfer knowledge. A notable exception is ZeroMat, which uses no extra input data. Sparsity is a lesser noticed problem. In this paper, we propose a new algorithm named DotMat that relies on no extra input data, but is capable of solving cold-start and sparsity problems. In experiments, we prove that like ZeroMat, DotMat can achieve competitive results with recommender systems with full data, such as the classic matrix factorization algorithm.
P. H. Denifle, La desolation des églises, monastères et hôpitaux en France pendant la guerre des Cents ans
Creators: name: Eubel, Konrad
Publisher: name: Römische Quartalschrift
Year: 1970

description: Römische Quartalschrift, Bd. 14 (1900): Römische Quartalschrift, Band 14
Non-Hermitian Mott Skin Effect
Creators: name: Yoshida, Tsuneya
name: Zhang, Song-Bo
name: Neupert, Titus
name: Kawakami, Norio
Publisher: name: arXiv
Year: 2023
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Gases (cond-mat.quant-gas)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We propose a novel type of skin effects in non-Hermitian quantum many-body systems which we dub a non-Hermitian Mott skin effect. This phenomenon is induced by the interplay between strong correlations and the non-Hermitian point-gap topology. The Mott skin effect induces extreme sensitivity to the boundary conditions only in the spin degree of freedom (i.e., the charge distribution is not sensitive to boundary conditions), which is in sharp contrast to the ordinary non-Hermitian skin effect in non-interacting systems. Concretely, we elucidate that a bosonic non-Hermitian chain exhibits the Mott skin effect in the strongly correlated regime by closely examining an effective Hamiltonian. The emergence of the Mott skin effect is also supported by numerical diagonalization of the bosonic chain. The difference between the ordinary non-Hermitian skin effect and the Mott skin effect is also reflected in the time-evolution of physical quantities; under the time-evolution spin accumulation is observed while the charge distribution remains spatially uniform.
description: 8+17 pages, 3+16 figures, discussions of Liouvillian dynamics are revised
55632: St Quentin Canal tunnel
Creators: name: Project Team, First World War Poetry Digital Archive
Publisher: name: University of Oxford
Year: 2024
Subjects: classificationCode: 430304
subject: British history
classificationCode: 430308
subject: European history (excl. British, classical Greek and Roman)
classificationCode: 430316
subject: International history

description: Northern entrance to canal tunnel, view looking south.
Analysis of $\sim10^6$ spiral galaxies from four telescopes shows large-scale patterns of asymmetry in galaxy spin directions
Creators: name: Shamir, Lior
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The ability to collect unprecedented amounts of astronomical data has enabled the studying scientific questions that were impractical to study in the pre-information era. This study uses large datasets collected by four different robotic telescopes to profile the large-scale distribution of the spin directions of spiral galaxies. These datasets cover the Northern and Southern hemispheres, in addition to data acquired from space by the Hubble Space Telescope. The data were annotated automatically by a fully symmetric algorithm, as well as manually through a long labor-intensive process, leading to a dataset of nearly $10^6$ galaxies. The data shows possible patterns of asymmetric distribution of the spin directions, and the patterns agree between the different telescopes. The profiles also agree when using automatic or manual annotation of the galaxies, showing very similar large-scale patterns. Combining all data from all telescopes allows the most comprehensive analysis of its kind to date in terms of both the number of galaxies and the footprint size. The results show a statistically significant profile that is consistent across all telescopes. The instruments used in this study are DECam, HST, SDSS, and Pan-STARRS. The paper also discusses possible sources of bias, and analyzes the design of previous work that showed different results. Further research will be required to understand and validate these preliminary observations.
description: Advances in Astronomy. arXiv admin note: substantial text overlap with arXiv:2204.01192
O'ZBEKISTONDA VODOROD ISHLAB CHIQARISH VA UNDAN FOYDALANISH HOLATI TAHLILI
Creators: name: Djurayev, Xushvaqt
Publisher: name: Zenodo
Year: 2024

description: Ushbu maqolada O'zbekistonda vodorod energetikasi sohasining rivojlanish holati, vodorod ishlab chiqarish imkoniyatlari va istiqbollari tahlil qilingan. Mavjud adabiyotlar asosida vodorod ishlab chiqarish texnologiyalari, ularning iqtisodiy samaradorligi va ekologik jihatlari o'rganilgan. Shuningdek, vodorod energetikasini rivojlantirish bo'yicha milliy dasturlar va xalqaro hamkorlik masalalari ko'rib chiqilgan.
Passive elasticity properties of $\textit{Octopus rubescens}$ arm
Creators: name: Halder, Udit
name: Gribkova, Ekaterina
name: Gillette, Rhanor
name: Mehta, Prashant G.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Biological Physics (physics.bio-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: In this report, passive elasticity properties of $\textit{Octopus rubescens}$ arm tissue are investigated using a multidisciplinary approach encompassing biomechanical experiments, computational modeling, and analyses. Tensile tests are conducted to obtain stress-strain relationships of the arm under axial stretch. Rheological tests are also performed to probe into dynamic shear response of the arm tissue. Based on these tests, comparisons against three different viscoelasticity models are reported.
On the sine polarity and the $L_p$-sine Blaschke-Santaló inequality
Creators: name: Huang, Qingzhong
name: Li, Ai-Jun
name: Xi, Dongmeng
name: Ye, Deping
Publisher: name: arXiv
Year: 2022
Subjects: subject: Metric Geometry (math.MG)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 52A20, 52A30, 52A40, 94A15

description: This paper is dedicated to study the sine version of polar bodies and establish the $L_p$-sine Blaschke-Santaló inequality for the $L_p$-sine centroid body. The $L_p$-sine centroid body $Λ_p K$ for a star body $K\subset\mathbb{R}^n$ is a convex body based on the $L_p$-sine transform, and its associated Blaschke-Santaló inequality provides an upper bound for the volume of $Λ_p^{\circ}K$, the polar body of $Λ_p K$, in terms of the volume of $K$. Thus, this inequality can be viewed as the "sine cousin" of the $L_p$ Blaschke-Santaló inequality established by Lutwak and Zhang. As $p\rightarrow \infty$, the limit of $Λ_p^{\circ} K$ becomes the sine polar body $K^{\diamond}$ and hence the $L_p$-sine Blaschke-Santaló inequality reduces to the sine Blaschke-Santaló inequality for the sine polar body. The sine polarity naturally leads to a new class of convex bodies $\mathcal{C}_{e}^n$, which consists of all origin-symmetric convex bodies generated by the intersection of origin-symmetric closed solid cylinders. Many notions in $\mathcal{C}_{e}^n$ are developed, including the cylindrical support function, the supporting cylinder, the cylindrical Gauss image, and the cylindrical hull. Based on these newly introduced notions, the equality conditions of the sine Blaschke-Santaló inequality are settled.
description: Journal of Functional Analysis, in press
Do elderly want to work? Modeling elderly's decision to fight aging Thailand
Creators: name: Kantachote, Krittiya
name: Wiroonsri, Nathakhun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Thailand has entered into an aging society since the year 2000. Using the 2017 Survey of the Older Persons in Thailand collected by Thailand National Statistical Office, this study uses cross tabulation, random forest with variable importance measure and lasso logistic regression to examine factors that have effects on the elderly's decision to remain in the labor market after retirement. This study reveals that these following variables: age, education level, healthcare eligibility, marital status, health condition, total assets, gender, residential type, percent of elderly in the household, and number of children have strong influences on an elderly's desire to continue work. By knowing which factors contribute to the elderly wish to continue work in the market, this research allows for future prediction of the labor market that can accommodate elderly in Thailand. Our final models of random forest and lasso logistic regression provide prediction accuracy of 68.19 and 69.58 percent on the elderly's desire to work, respectively. This study has a significant impact as policymakers can utilize our models in predicting elderly's desire to work after retirement age and design a labor market that can accommodate elderly in Thailand in the future.
description: This preprint has not undergone peer review (when applicable) or any post-submission improvements or corrections. The Version of Record of this article is published in Quality and Quantity (2022), and is available online at https://doi.org/10.1007/s11135-022-01366-0
HL-LHC sensitivity to higgsinos from natural SUSY with gravitino LSP
Creators: name: Dai, Jian-Peng
name: Li, Song
name: Yang, Jin-Min
name: Zhang, Yang
name: Zhu, Pengxuan
name: Zhu, Rui
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In the realm of natural supersymmetric models, higgsinos are typically the lightest electroweakinos. In gauge-mediated supersymmetry breaking models, the lightest higgsino-dominated particles decay into a $Z$-boson or a Higgs boson ($h$), along with an ultra-light gravitino ($\tilde{G}$) serving as the lightest supersymmetric particle (LSP). This scenario suggests a significant non-resonant $hh$ production. Basing on the recent global fitting results of the $\tilde{G}$-EWMSSM (MSSM with light electroweakinos and an eV-scale gravitino as the LSP) performed by the \textsf{GAMBIT} collaboration, which support a higgsino dominated electroweakino as light as 140 GeV, we develop two simplified models to evaluate their detection potential at the high-luminosity LHC (HL-LHC) with $\sqrt{s} = 14~{\rm TeV}$ and an integrated luminosity of $3000~{\rm fb}^{-1}$. The first model examines the processes where heavier higgsino-dominated states decay into soft $W/Z$ bosons, while the second focuses on direct decays of all three higgsino-dominated electroweakinos into $W/Z/h$ plus a $\tilde{G}$. Our study, incorporating both models and their distinct decay channels, utilizes detailed Monte Carlo simulations for signals and standard model backgrounds. We find that the HL-LHC can probe higgsinos up to 575 GeV, potentially discovering or excluding the natural SUSY scenario in the context of a gravitino LSP. Further, we reinterpret this discovery potential using the GAMBIT global fit samples, and find that the entire parameter space of $|μ| \leq 500~{\rm GeV}$ with an electroweak fine-tuning measure ($Δ_{\rm EW}$) under 100 in $\tilde{G}$-EWMSSM is accessible at the HL-LHC.
description: 31 pages, 12 figures, and 6 tables
Concentration inequalities using approximate zero bias couplings with applications to Hoeffding's statistic under the Ewens distribution
Creators: name: Wiroonsri, Nathakhun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics

description: We prove concentration inequalities of the form $P(Y \ge t) \le \exp(-B(t))$ for a random variable $Y$ with mean zero and variance $σ^2$ using a coupling technique from Stein's method that is so-called approximate zero bias couplings. Applications to the Hoeffding's statistic where the random permutation has the Ewens distribution with parameter $θ>0$ are also presented. A few simulation experiments are then provided to visualize the tail probability of the Hoeffding's statistic and our bounds. Based on the simulation results, our bounds work well especially when $θ\le 1$.
description: This preprint has not undergone peer review (when applicable) or any post-submission improvements or corrections. The Version of Record of this article is published in Communications in Statistics - Theory and Methods (2022), and is available online at https://doi.org/10.1080/03610926.2022.2032753
COMPONENTS OF DEVELOPING SYNONYMOUS THINKING IN STUDENTS AND ITS PEDAGOGICAL-PSYCHOLOGICAL FEATURES
Creators: name: Azgarova, Gulsum
Publisher: name: Zenodo
Year: 2024

description: This article analyzes the relevance and theoretical foundations of the problem of healthy thinking, and highlights the content of the structural components of healthy thinking and healthy behavior, giving priority to the cognitive, preparatory, and final phases of the process of developing healthy thinking in future teachers. The article also provides information on the preliminary control results of experimental work and the specific characteristics of healthy thinking.
A massive Keplerian protostellar disk with flyby-induced spirals in the Central Molecular Zone
Creators: name: Lu, Xing
name: Li, Guang-Xing
name: Zhang, Qizhou
name: Lin, Yuxin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Accretion disks are an essential component in the paradigm of the formation of low-mass stars. Recent observations further identify disks surrounding low-mass pre-main-sequence stars perturbed by flybys. Whether disks around more massive stars evolve in a similar manner becomes an urgent question. We report the discovery of a Keplerian disk of a few solar masses surrounding a 32 solar-mass protostar in the Sagittarius C cloud around the Galactic Center. The disk is gravitationally stable with two embedded spirals. A combined analysis of analytical solutions and numerical simulations demonstrates that the most likely scenario to form the spirals is through external perturbations induced by a close flyby, and one such perturber with the expected parameters is identified. The massive, early O-type star embedded in this disk forms in a similar manner with respect to low-mass stars, in the sense of not only disk-mediated accretion, but also flyby-impacted disk evolution.
description: Published in Nature Astronomy at https://www.nature.com/articles/s41550-022-01681-4 . Here is the authors' version
Performance Analysis of Multi-Angle QAOA for p > 1
Creators: name: Gaidai, Igor
name: Herrman, Rebekah
Publisher: name: arXiv
Year: 2023
Subjects: subject: Emerging Technologies (cs.ET)
subject: Quantum Physics (quant-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: In this paper we consider the scalability of Multi-Angle QAOA with respect to the number of QAOA layers. We found that MA-QAOA is able to significantly reduce the depth of QAOA circuits, by a factor of up to 4 for the considered data sets. However, MA-QAOA is not optimal for minimization of the total QPU time. Different optimization initialization strategies are considered and compared for both QAOA and MA-QAOA. Among them, a new initialization strategy is suggested for MA-QAOA that is able to consistently and significantly outperform random initialization used in the previous studies.
Design and implementation of a data-driven wall function for the velocity in RANS simulations
Creators: name: Kang, Jihoo
Publisher: name: Zenodo
Year: 2022
Subjects: data-driven wall function
standard wall function
Reynolds-averaged Navier-Stokes (RANS)
effective viscosity
diffusive flux correction
convective flux correction
convection-dominated flow
flat plate
airfoil
mesh-dependency
solver modification
OpenFOAM
PyTorch
neural network

description: A wall function approach makes simulations at high Reynolds numbers possible to yield reliable results even in the case of coarser meshes. However, it is difficult for the approach to obtain good results if boundary conditions are not valid for the law of the wall. This is why a data-driven approach is needed. A data-driven wall function can be applied to the boundary layer conditions where the law of the wall is not applicable such as adverse pressure gradient conditions, walls with porous media, etc.
 This project aims to create a machine learning (ML) wall function that can be used for linear and non-linear flow conditions from a simple 1D geometry, which does not need any direct numerical simulation (DNS) data. The data is obtained from a 1D channel at Re = 1e7 , and three ML models that have the labels of slopes at wall, slopes at cell faces, and velocity at faces in wall normal direction are trained with the maximum relative error of 16%. The trained ML models are applied to flat plate cases at Re = 1e7 , 3e6 , and 6e6 . With the correction of diffusive fluxes, the skin friction of the scenarios for the ML models is compared to that of the standard wall function at y+ = 0.05, 1, 2, 5, 10, 30, 50, 100. The data-driven wall function yields a smaller confidence interval that corresponds to approximately 65% of the confidence interval for the standard wall function scenario, which means that the skin friction of the data-driven wall function is less mesh-dependent than that of the standard wall function. On the other hand, an airfoil case with a chord length of 1m at Re = 3e6 is also investigated. The skin friction and the pressure coefficient of the ML models compare to those of the standard wall function at y+ = 0.05, 1, 2, 3.5, 5, 10, 50, 100 with the correction of diffusive and convective fluxes. For the skin friction except at y+ = 3.5, the data-driven wall function yields slightly the longer confidence interval that is 108.4% of the confidence interval for the standard wall function scenario. This implies that the data-driven wall function is more mesh-dependent than the standard wall function for the airfoil case.
description: The code related to the thesis can be found in the repository : https://github.com/JihooKang-KOR/Data_driven_wall_modeling
Inter-BIN: Interaction-based Cross-architecture IoT Binary Similarity Comparison
Creators: name: Song, Qige
name: Zhang, Yongzheng
name: Wang, Binglai
name: Chen, Yige
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: The big wave of Internet of Things (IoT) malware reflects the fragility of the current IoT ecosystem. Research has found that IoT malware can spread quickly on devices of different processer architectures, which leads our attention to cross-architecture binary similarity comparison technology. The goal of binary similarity comparison is to determine whether the semantics of two binary snippets is similar. Existing learning-based approaches usually learn the representations of binary code snippets individually and perform similarity matching based on the distance metric, without considering inter-binary semantic interactions. Moreover, they often rely on the large-scale external code corpus for instruction embeddings pre-training, which is heavyweight and easy to suffer the out-of-vocabulary (OOV) problem. In this paper, we propose an interaction-based cross-architecture IoT binary similarity comparison system, Inter-BIN. Our key insight is to introduce interaction between instruction sequences by co-attention mechanism, which can flexibly perform soft alignment of semantically related instructions from different architectures. And we design a lightweight multi-feature fusion-based instruction embedding method, which can avoid the heavy workload and the OOV problem of previous approaches. Extensive experiments show that Inter-BIN can significantly outperform state-of-the-art approaches on cross-architecture binary similarity comparison tasks of different input granularities. Furthermore, we present an IoT malware function matching dataset from real network environments, CrossMal, containing 1,878,437 cross-architecture reuse function pairs. Experimental results on CrossMal prove that Inter-BIN is practical and scalable on real-world binary similarity comparison collections.
description: Accepted by IEEE Internet of Things Journal,15 pages, 11 figures and 8 tables
Automata and coalgebras in categories of species
Creators: name: Loregian, Fosco
Publisher: name: arXiv
Year: 2024
Subjects: subject: Category Theory (math.CT)
subject: Formal Languages and Automata Theory (cs.FL)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: We study generalized automata (in the sense of Adámek-Trnková) in Joyal's category of (set-valued) combinatorial species, and as an important preliminary step, we study coalgebras for its derivative endofunctor $\partial$ and for the "Euler homogeneity operator" $L\circ\partial$ arising from the adjunction $L\dashv\partial\dashv R$. The theory is connected with, and in fact provides relatively nontrivial examples of, "differential 2-rigs", a notion recently introduced by the author putting combinatorial species on the same relation a generic (differential) semiring $(R,d)$ has with the (differential) semiring $\mathbb N[\![ X]\!]$ of power series with natural coefficients. The desire to study categories of "state machines" valued in an ambient monoidal category $(\mathcal K,\otimes)$ gives a pretext to further develop the abstract theory of differential 2-rigs, proving lifting theorems of a differential 2-rig structure from $(\mathcal R,\partial)$ to the category of $\partial$-algebras on objects of $\mathcal R$, and to categories of Mealy automata valued in $(\mathcal R,\otimes)$, as well as various constructions inspired by differential algebra such as jet spaces and modules of differential operators. These theorems adapt to various "species-like" categories such as coloured species, $k$-vector species (both used in operad theory), linear species (introduced by Leroux to study combinatorial differential equations), Möbius species, and others.
description: Hom. Il. 18.371-376; extended version of the note published in the proceedings of CMCS2024
Josef Strzygowski, Der Bilderkreis des griechischen Physiologus, des Kosmas Indikopleustes und Oktateuch nach Handschritten der Bibliothek zu Symrna bearbeitet
Creators: name: Baumstark, Anton
Publisher: name: Römische Quartalschrift
Year: 1970

description: Römische Quartalschrift, Bd. 14 (1900): Römische Quartalschrift, Band 14
Leaching behaviour of zinc from a smithsonite ore in sodium hydroxide solutions
Creators: name: Ehsani, Ilhan
name: Ucyildiz, Ayse
name: Obut, Abdullah
Publisher: name: Faculty of Geoengineering, Mining and Geology, Wrocław University of Technology, Wrocław
Year: 2018
Subjects: alkaline leaching, calcium zincate, nonsulfide zinc ore, smithsonite, zinc carbonate

description: Physicochemical Problems of Mineral Processing; ISSN 2084-4735
Additional file 1 of High-definition transcranial direct current stimulation (HD-tDCS) in major depressive disorder with anxious distress—a study protocol for a double-blinded randomized sham-controlled trial
Creators: name: Zhang, Danwei
name: Zhao, Bei
name: Sun, Xue
name: Ding, Kaimo
name: Sun, Jingjing
name: Tao, Sheng
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Science Policy
subject: Mental Health

description: Additional file 1. HD-tDCS setting of electrode annotations.
Intelligent UNIT LEVEL TEST Generator for Enhanced Software Quality
Creators: name: Luo, Ning
name: Zhang, Linlin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Unit level test has been widely recognized as an important approach to improve the software quality, as it can expose bugs earlier during the development phase. However, manual unit level test development is often tedious and insufficient. Also, it is hard for developers to precisely identify the most error prone code block deserving the best test coverage by themselves. In this paper, we present the automatic Unit level test framework we used for intel media driver development. It can help us identify the most critical code block, provide the test coverage recommendation, and automatically generate >80% ULT code (~400K Lines of test code) as well as ~35% test cases (~7K test cases) for intel media driver. It helps us to greatly shrink the average ULT development effort from ~24 Man hours to ~3 Man hours per 1000 Lines of driver source code.
description: 10 pages, 6 figures
The Relative Entropy Method for Inhomogeneous Systems of Balance Laws
Creators: name: Christoforou, Cleopatra
Publisher: name: arXiv
Year: 2022
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: Primary 35L65, 35A02, 35B35, Secondary 35Q74, 35Q35, 35L45, 35K45

description: General hyperbolic systems of balance laws with inhomogeneity in space and time in all constitutive functions are studied in the context of relative entropy. A framework is developed in this setting that contributes to a measure-valued weak vs strong uniqueness theorem, a stability theorem of viscous solutions and a convergence theorem as the viscosity parameter tends to zero. The main goal of this paper is to develop hypotheses under which the relative entropy framework can still be applied. Examples of systems with inhomogeneity that have different charateristics are presented and the hypotheses are discussed in the setting of each example.
description: 26 pages
sj-docx-1-cjb-10.1177_00938548221105238 – Supplemental material for Is Reduced Visitation a Collateral Consequence of Restrictive Housing?
Creators: name: Anderson, Claudia N.
name: Cochran, Joshua C.
name: Wooldredge, John
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences
subject: 160299 Criminology not elsewhere classified
subject: FOS: Law
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-1-cjb-10.1177_00938548221105238 for Is Reduced Visitation a Collateral Consequence of Restrictive Housing? by Claudia N. Anderson, Joshua C. Cochran and John Wooldredge in Criminal Justice and Behavior
Additional file 2 of Identification of ClpB, a molecular chaperone involved in the stress tolerance and virulence of Streptococcus agalactiae
Creators: name: Yang, Lan
name: Wu, Zhihao
name: Ma, Tian-Yu
name: Zeng, Hui
name: Chen, Ming
name: Zhang, Yong-An
name: Zhou, Yang
Publisher: name: figshare
Year: 2024
Subjects: subject: Microbiology
subject: FOS: Biological sciences

description: Additional file 2 Fold change in mRNA expression. Relative mRNA expression levels of the clpB upstream, downstream, and clpB genes in the WT and ΔclpB strains. The value of the target genes in the WT was set to 1.0. “ns” and “***” indicate “P > 0.05” and “P < 0.001”, respectively. 23.
A reinforcement learning-based link quality estimation strategy for RPL and its impact on topology management
Creators: name: Ancillotti, Emilio
name: Vallati, Carlo
name: Bruno, Raffaele
name: Mingozzi, Enzo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Over the last few years, standardisation efforts are consolidating the role of the Routing Protocol for LowPower and Lossy Networks (RPL) as the standard routing protocol for IPv6 based Wireless Sensor Networks (WSNs). Although many core functionalities are well defined, others are left implementation dependent. Among them, the definition of an efficient link quality estimation (LQE) strategy is of paramount importance, as it influences significantly both the quality of the selected network routes and nodes' energy consumption. In this paper, we present RLProbe, a novel strategy for link quality monitoring in RPL, which accurately measures link quality with minimal overhead and energy waste. To achieve this goal, RLProbe leverages both synchronous and asynchronous monitoring schemes to maintain up-to-date information on link quality and to promptly react to sudden topology changes, e.g. due to mobility. Our solution relies on a reinforcement learning model to drive the monitoring procedures in order to minimise the overhead caused by active probing operations. The performance of the proposed solution is assessed by means of simulations and real experiments. Results demonstrated that RLProbe helps in effectively improving packet loss rates, allowing nodes to promptly react to link quality variations as well as to link failures due to node mobility.
CLINICAL ANALYSIS OF  BIRTH HISTORIES TO PREVENT AND PREDICT POSTPARTUM HEMORRHAGE
Creators: name: Umirova, M.A.
name: Karimova, N.N.
name: Rustamova, M.U.
Publisher: name: Zenodo
Year: 2024

description: The aim of our study was to retrospectively examine the history of childbirth and the quality of primary care for bleeding and evaluate the prescribed rehabilitation measures for women who have suffered postpartum hemorrhage and massive bleeding. The materials and methods of the study were 242 birth histories with postpartum hemorrhage for the last 6 years (2013-2018) in the city maternity hospital of Bukhara. The average age of the patients was 26.7 ± 1.2 years.
Additional file 6 of Identification of ClpB, a molecular chaperone involved in the stress tolerance and virulence of Streptococcus agalactiae
Creators: name: Yang, Lan
name: Wu, Zhihao
name: Ma, Tian-Yu
name: Zeng, Hui
name: Chen, Ming
name: Zhang, Yong-An
name: Zhou, Yang
Publisher: name: figshare
Year: 2024
Subjects: subject: Microbiology
subject: FOS: Biological sciences

description: Additional file 6 ClpB identity in various GBS strains. The presence of ClpB in various GBS strains.
Effect of thresholding on avalanches and their clustering for interfaces with long-range elasticity
Creators: name: Savolainen, Juha
name: Laurson, Lasse
name: Alava, Mikko
Publisher: name: arXiv
Year: 2022
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Avalanches are often defined as signals higher than some detection level in bursty systems. The choice of the detection threshold affects the number of avalanches, but it can also affect their temporal correlations. We simulated the depinning of a long-range elastic interface and applied different thresholds including a zero one on the data to see how the sizes and durations of events change and how this affects temporal avalanche clustering. Higher thresholds result in steeper size and duration distributions and cause the avalanches to cluster temporally. Using methods from seismology, the frequency of the events in the clusters was found to decrease as a power-law of time, and the size of an event in a cluster was found to help predict how many events it is followed by. The results bring closer theoretical studies of this class of models to real experiments, but also highlight how different phenomena can be obtained from the same set of data.
description: 8 pages, 8 figures
Additional file 1 of Built to last? Barriers and facilitators of healthcare program sustainability: a systematic integrative review
Creators: name: Zurynski, Yvonne
name: Ludlow, Kristiana
name: Testa, Luke
name: Augustsson, Hanna
name: Herkes-Deane, Jessica
name: Hutchinson, Karen
name: Lamprell, Gina
name: McPherson, Elise
name: Carrigan, Ann
name: Ellis, Louise A.
name: Dharmayani, Putu Novi Arfirsta
name: Smith, Carolynn L.
name: Richardson, Lieke
name: Dammery, Genevieve
name: Singh, Nehal
name: Braithwaite, Jeffrey
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Pharmacology
Biological Sciences not elsewhere classified
Science Policy

description: Additional file 1: Table S1. PRISMA Checklist.
sj-docx-6-jad-10.1177_10870547221106238 – Supplemental material for Analysis of Daily Sleep Diary Measures From Multilayer Extended-Release Methylphenidate (PRC-063) Studies in Children and Adults With ADHD
Creators: name: Cataldo, Marc
name: Donnelly, Graeme
name: Cutler, Andrew J.
name: Childress, Ann
name: Mikl, Jaromir
name: Bhaskar, Sailaja
name: Waxmonsky, James
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: Education
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, sj-docx-6-jad-10.1177_10870547221106238 for Analysis of Daily Sleep Diary Measures From Multilayer Extended-Release Methylphenidate (PRC-063) Studies in Children and Adults With ADHD by Marc Cataldo, Graeme Donnelly, Andrew J. Cutler, Ann Childress, Jaromir Mikl, Sailaja Bhaskar and James Waxmonsky in Journal of Attention Disorders
sj-docx-1-hss-10.1177_15563316221105880 – Supplemental material for Variability in Patient-Incurred Costs and Protocols of Regenerative Medicine Procedures for Musculoskeletal Conditions in the United States
Creators: name: Charnoff, Jesse
name: Rothman, Rachel
name: Andres Bergos, Jessica
name: Rodeo, Scott
name: Casey, Ellen
name: Cheng, Jennifer
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 110323 Surgery
subject: FOS: Clinical medicine

description: Supplemental material, sj-docx-1-hss-10.1177_15563316221105880 for Variability in Patient-Incurred Costs and Protocols of Regenerative Medicine Procedures for Musculoskeletal Conditions in the United States by Jesse Charnoff, Rachel Rothman, Jessica Andres Bergos, Scott Rodeo, Ellen Casey and Jennifer Cheng in HSS Journal®: The Musculoskeletal Journal of Hospital for Special Surgery
sj-docx-1-aop-10.1177_10600280221106622 – Supplemental material for Postoperative Application of Dexmedetomidine is the Optimal Strategy to Reduce the Incidence of Postoperative Delirium After Cardiac Surgery: A Network Meta-Analysis of Randomized Controlled Trials
Creators: name: Shang, Limei
name: Hou, Ming
name: Guo, Fengying
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine

description: Supplemental material, sj-docx-1-aop-10.1177_10600280221106622 for Postoperative Application of Dexmedetomidine is the Optimal Strategy to Reduce the Incidence of Postoperative Delirium After Cardiac Surgery: A Network Meta-Analysis of Randomized Controlled Trials by Limei Shang, Ming Hou and Fengying Guo in Annals of Pharmacotherapy
Maternity Care Services For Women With Disabilities During Pregnancy And Childbirth In Switzerland: Learning From The Experiences Of Women With Spinal Cord Injuries And Their Practitioners To Optimise Maternity Care Service
Creators: name: Bertschy, Sue
Publisher: name: Zenodo
Year: 2018

description: Keine Beschreibung.
description: + Sprache: eng + Code Diss LU:
sj-docx-2-jhc-10.1369_00221554221112701 – Supplemental material for Digital Staging of Hepatic Hemangiomas Reveals Spatial Heterogeneity in Endothelial Cell Composition and Vascular Senescence
Creators: name: Thomann, Stefan
name: Tóth, Marcell
name: Sprengel, Simon David
name: Liermann, Jakob
name: Schirmacher, Peter
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: Cell Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine

description: Supplemental material, sj-docx-2-jhc-10.1369_00221554221112701 for Digital Staging of Hepatic Hemangiomas Reveals Spatial Heterogeneity in Endothelial Cell Composition and Vascular Senescence by Stefan Thomann, Marcell Tóth, Simon David Sprengel, Jakob Liermann and Peter Schirmacher in Journal of Histochemistry & Cytochemistry
Eu-African Economic Relations: Continuing Dominance, Traded For Aid?
Creators: name: Kohnert, Dirk
Publisher: name: Zenodo
Year: 2009
Subjects: ODA
Development aid
European Union
migration
post-colonialism
West Africa
international trade
African Studies

description: Promising growth rates, increased trade, and competition among major global players for African resources have boosted the development and bargaining power of sub-Saharan Af-rica (SSA) in relation to the EU. However, Africa's least developed countries remain vulner-able to external shocks. Academic analysis is still too heavily influenced by scholastic con-troversies. Neither the controversy over “big-push” concepts nor the blaming of African cul-ture as an impediment to growth or good government do justice to the real issues at stake. Even beyond the aftermath of (neo)colonialism, and notwithstanding continuing deficits in good government in many African countries, the EU bears responsibility for the fragile state of many African economies. The self-interested trade policies of the EU and other world powers contribute to poverty and unsatisfactory development in SSA. This threatens to per-petuate asymmetrical power relations in the new Economic Partnership Agreements (EPAs), to the detriment of regional integration and pro-poor growth. However, mounting competi-tion between China and other global players for Africa's resources is resulting in windfall profits for Africa. The latter is leading to a revival of seesaw politics, already known from the times of the Cold War, on the part of African states. This could be profitable for Africa's power elite, but not necessarily for Africa's poor.
description: Author's version of: Kohnert, Dirk (2009): EU-Africa economic relations: Continuing dominance, traded for aid? In: Bello, Valeria & Gebrewold, Belachew (eds.): A Global Security Triangle. European, African and Asian Interaction. London / New York: Routledge, 2009: 111-136
The algebraic and geometric classification of Zinbiel algebras
Creators: name: Alvarez, María Alejandra
name: Júnior, Renato Fehlberg
name: Kaygorodov, Ivan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Rings and Algebras (math.RA)
subject: FOS: Mathematics

description: This paper is devoted to the complete algebraic and geometric classification of complex $5$-dimensional Zinbiel algebras. In particular, we proved that the variety of complex $5$-dimensional Zinbiel algebras has dimension $24$, it is defined by $16$ irreducible components and it has $11$ rigid algebras.
description: arXiv admin note: substantial text overlap with arXiv:2205.00444. substantial text overlap with arXiv:2106.00336, arXiv:1912.02691, arXiv:1812.01442, arXiv:2004.03598
sj-docx-1-tct-10.1177_15330338211045198 - Supplemental material for Pure and Mixed Tubular Carcinoma of the Breast: Mammographic Features, Clinicopathological Characteristics and Prognostic Analysis
Creators: name: Wen, Chanjuan
name: Xu, Weimin
name: Qin, Genggeng
name: Zeng, Hui
name: He, Zilong
name: Wang, Sina
name: Xu, Zeyuan
name: Ma, Mengwei
name: Luo, Zhendong
name: Chen, Weiguo
Publisher: name: SAGE Journals
Year: 2022
Subjects: Oncology and Carcinogenesis not elsewhere classified
Radiology and Organ Imaging
Biochemistry

description: Supplemental material, sj-docx-1-tct-10.1177_15330338211045198 for Pure and Mixed Tubular Carcinoma of the Breast: Mammographic Features, Clinicopathological Characteristics and Prognostic Analysis by Chanjuan Wen, Weimin Xu, Genggeng Qin, Hui Zeng, Zilong He, Sina Wang, Zeyuan Xu, Mengwei Ma, Zhendong Luo and Weiguo Chen in Technology in Cancer Research & Treatment