cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Hausdorff measures and packing measures of the limit sets of CIFSs of generalized complex continued fractions
Creators: name: Inui, Kanji
name: Sumi, Hiroki
Publisher: name: arXiv
Year: 2018
Subjects: subject: Dynamical Systems (math.DS)
subject: Complex Variables (math.CV)
subject: FOS: Mathematics

description: We consider a family of CIFSs of the generalized complex continued fractions with a complex parameter space. We show that for each CIFS of the family, the Hausdorff measure of the limit set of the CIFS with respect to the Hausdorff dimen/sion is zero and the packing measure of the limit set of the CIFS with respect to the Hausdorff dimension is positive (main result). This is a new phenomenon of infinite CIFSs which cannot hold in finite CIFSs. We prove the main result by showing some estimates for the unique conformal measure of each CIFS of the family and by using some geometric observations.
description: arXiv admin note: text overlap with arXiv:1810.12599
Photon Pair Production with Soft Gluon Resummation in Hadronic Interactions
Creators: name: Balazs, C.
name: Berger, E. L.
name: Mrenna, S.
name: Yuan, C. -P.
Publisher: name: arXiv
Year: 1997
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The production rate and kinematic distributions of isolated photon pairs produced in hadron interactions are studied. The effects of the initial-state multiple soft-gluon emission to the scattering subprocesses q-qbar, qg, and gg to gamma gamma X are resummed with the Collins-Soper-Sterman soft gluon resummation formalism. The effects of fragmentation photons from qg to gamma q, followed by q to gamma X, are also studied. The results are compared with data from the Fermilab Tevatron collider. A prediction of the production rate and kinematic distributions of the diphoton pair in proton-nucleon reactions is also presented.
description: 43 pages, Latex, 14 postscript figures, imbedded using psfig.tex
A System for Human-Robot Teaming through End-User Programming and Shared Autonomy
Creators: name: Hagenow, Michael
name: Senft, Emmanuel
name: Radwin, Robert
name: Gleicher, Michael
name: Zinn, Michael
name: Mutlu, Bilge
Publisher: name: arXiv
Year: 2024
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Many industrial tasks-such as sanding, installing fasteners, and wire harnessing-are difficult to automate due to task complexity and variability. We instead investigate deploying robots in an assistive role for these tasks, where the robot assumes the physical task burden and the skilled worker provides both the high-level task planning and low-level feedback necessary to effectively complete the task. In this article, we describe the development of a system for flexible human-robot teaming that combines state-of-the-art methods in end-user programming and shared autonomy and its implementation in sanding applications. We demonstrate the use of the system in two types of sanding tasks, situated in aircraft manufacturing, that highlight two potential workflows within the human-robot teaming setup. We conclude by discussing challenges and opportunities in human-robot teaming identified during the development, application, and demonstration of our system.
description: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI '24), March 11 - 14, 2024, Boulder, CO, USA
Additional file 2: of Hydrodynamic shear stress promotes epithelial-mesenchymal transition by downregulating ERK and GSK3Î˛ activities
Creators: name: Choi, Hye
name: Gwang-Mo Yang
name: Dayem, Ahmed
name: Subbroto Saha
name: Kyeongseok Kim
name: Youngbum Yoo
name: Kwonho Hong
name: Jin-Hoi Kim
name: Cassian Yee
name: Lee, Kyung-Mi
name: Ssang-Goo Cho
Publisher: name: figshare
Year: 2019
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology

description: Table S2. Sequences of the primers used in this study. (PDF 20 kb)
Precursors, aftershocks, criticality and self-organized criticality
Creators: name: Huang, Y.
name: Saleur, H.
name: Sammis, C. G.
name: Sornette, D.
Publisher: name: arXiv
Year: 1996
Subjects: subject: Condensed Matter (cond-mat)
subject: FOS: Physical sciences

description: We present a simple model of earthquakes on a pre-existing hierarchical fault network. The system self-organizes on long time scales in a stationary state with a power law Gutenberg-Richter distribution of earthquake sizes. The largest fault carries irregular great earthquakes preceded by precursors developing over long time scales and followed by aftershocks obeying an Omori's law. The cumulative energy released by precursors follows a time-to-failure power law with log-periodic structures, qualifying a large event as an effective dynamical (depinning) critical point. Down the hierarchy, smaller earthquakes exhibit the same phenomenology, albeit with increasing irregularities.
description: 4 pages,3 postscript figures, use LaTeX, with [prl,twocolumn,aps,epsf]{revtex}
Beyond Words: Exploring Cultural Value Sensitivity in Multimodal Models
Creators: name: Yadav, Srishti
name: Zhang, Zhi
name: Hershcovich, Daniel
name: Shutova, Ekaterina
Publisher: name: arXiv
Year: 2025
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Investigating value alignment in Large Language Models (LLMs) based on cultural context has become a critical area of research. However, similar biases have not been extensively explored in large vision-language models (VLMs). As the scale of multimodal models continues to grow, it becomes increasingly important to assess whether images can serve as reliable proxies for culture and how these values are embedded through the integration of both visual and textual data. In this paper, we conduct a thorough evaluation of multimodal model at different scales, focusing on their alignment with cultural values. Our findings reveal that, much like LLMs, VLMs exhibit sensitivity to cultural values, but their performance in aligning with these values is highly context-dependent. While VLMs show potential in improving value understanding through the use of images, this alignment varies significantly across contexts highlighting the complexities and underexplored challenges in the alignment of multimodal models.
Additional file 1: of Hydrodynamic shear stress promotes epithelial-mesenchymal transition by downregulating ERK and GSK3Î˛ activities
Creators: name: Choi, Hye
name: Gwang-Mo Yang
name: Dayem, Ahmed
name: Subbroto Saha
name: Kyeongseok Kim
name: Youngbum Yoo
name: Kwonho Hong
name: Jin-Hoi Kim
name: Cassian Yee
name: Lee, Kyung-Mi
name: Ssang-Goo Cho
Publisher: name: figshare
Year: 2019
Subjects: subject: Medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Developmental Biology

description: Table S1. Clinical characteristics of the patients with breast cancer in this study. (PDF 39 kb)
Additional file 1 of Exploring dynamic metabolomics data with multiway data analysis: a simulation study
Creators: name: Li, Lu
name: Hoefsloot, Huub
name: de Graaf, Albert A.
name: Acar, Evrim
name: Smilde, Age K.
Publisher: name: figshare
Year: 2022
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: Additional file 1: Figure S1. Pathway of the linear open system. Figure S2. Time profiles for the data generated by the linear open system with a specific setting of parameters and the factor plot of the Paralind(1,2,2) model for this dataset. Figure S3. Pathway of the glycolysis model. Figure S4. Cross-validation performance of the 2-component CP model and the Paralind(1,2,2) model for data generated by the glycolysis model with one source of induced variation and the level of the individual variation as 0.02. Figure S5. Comparison of the true and predicted data by Paralind(1,2,2) and Paralind(1,3,3) for metabolite G6P. Figure S6. Time profiles for the data generated by the glycolysis model with one source of induced variation and the level of the individual variation as 0.5, as well as the factor plot of the 2-component CP model for this dataset. Figure S7. Time profiles for the data generated by the glycolysis model with 100 subjects and the level of the individual variation as 0.5, as well as the factor plot of the 3-component CP model for this dataset. Figure S8. Pathway of the cholesterol model. Figure S9. Cross-validation performance of the 2-component CP model and the Paralind(1,2,2) model for data generated by the cholesterol model with one source of induced variation and the level of the individual variation as 0.02. Table S1. Model selection information, including fit, CC, TC, C12 values, for CP models applied to the data generated by the glycolysis model with one source of induced variation and the level of the individual variation as 0.36. Table S2. Model selection information, including fit, CC, TC, C12 values, for CP models applied to the data generated by the cholesterol model with one source of induced variation and the level of the individual variation as 0.02. Table S3. Model selection information, including fit, CC, TC, C12 values, for CP models applied to the data generated by the cholesterol model with one source of induced variation and the level of the individual variation as 0.65. Table S4. Model selection information, including fit, CC, TC, C12 values, for CP models applied to the data generated by the cholesterol model with two sources of induced variations and the level of the individual variation as 0.02.
A Scalable Database for the Storage of Object-Centric Event Logs
Creators: name: Farhang Ghahfarokhi, Anahita
name: Ghahfarokhi, Anahita Farhang
name: Park, Gyunam
name: van der Aalst, Wil M. P.
Publisher: name: RWTH Aachen University
Year: 2022

description: 2 Seiten (2022).
CP Violation in Top Quark Pair Production at Hadron Colliders
Creators: name: Zhou, Hong-Yi
Publisher: name: arXiv
Year: 1998
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: CP violating effects in top quark pair production at the future 2 TeV $p\bar p$ Tevatron and 14 TeV $pp$ LHC colliders are investigated. We study three kinds of CP violating sources:the supersymmetric CP-odd phase of the stop trilinear soft breaking term: $arg(A_t)$, the CP-odd parameter in two-Higgs doublet extensions of the standard model(2HDM), and the model-independent top quark chromoelectric dipole moment(CEDM), respectively. Optimal observables as well as simple observables are used. We find that it is possible to observe CP violating effects from $arg(A_t)$ in top quark pair production at the 2 TeV Tevatron with $\sim 30fb^{-1}$ integrated luminosity when $m_{\tilde{g}}\sim 200$ GeV. If the experimental systematic errors are sufficient small, the LHC with $\sim 150fb^{-1}$ can put a limit of order $10^{-1}$ on the phase $arg(A_t)$ and the CP-odd parameter in 2HDM by using optimal observables. The CEDM of the top quark can be measured to an accuracy of $10^{-18} cm g_s$ at the Tevatron and few $\times 10^{-20} cm g_s$ at the LHC.
description: 28 pages,3 figures, 38 refs
Additional file 1 of A composite biomarker of neutrophil-lymphocyte ratio and hemoglobin level correlates with clinical response to PD-1 and PD-L1 inhibitors in advanced non-small cell lung cancers
Creators: name: Ayers, Kristin L.
name: Ma, Meng
name: Debussche, Gaspard
name: Corrigan, David
name: McCafferty, Jonathan
name: Lee, Kyeryoung
name: Newman, Scott
name: Zhou, Xiang
name: Hirsch, Fred R.
name: Mack, Philip C.
name: Liu, Jane J.
name: Schadt, Eric E.
name: Chen, Rong
name: Li, Shuyu D.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Pharmacology
subject: Environmental Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Hematology

description: Additional file 1: Supplementary Fig. 1. Median NLR over time by response group using a sliding window approach in 2 week intervals post treatment. For example, week 3 represents the median value for lab readings between 2 and 4 weeks over all individuals within the respective group, with the point size proportional to the number of individuals with available data in that interval. Best fit line is plotted for 0–10 weeks.
Majorana-Josephson Interferometer
Creators: name: Li, Chang-An
name: Li, Jian
name: Shen, Shun-Qing
Publisher: name: arXiv
Year: 2018
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We propose an interferometer for chiral Majorana modes where the interference effect is caused and controlled by a Josephson junction of proximity-induced topological superconductors, hence, a Majorana-Josephson interferometer. This interferometer is based on a two-terminal quantum anomalous Hall bar, and as such its transport observables exhibit interference patterns depending on both the Josephson phase and the junction length. Observing these interference patterns will establish quantum coherent Majorana transport and further provide a powerful characterization tool for the relevant system.
description: 6 pages, 3 figures. Published version in Physical Review B: Rapid Communications
On the Kinetic Roughening in Polymer Film Growth by Vapor Deposition
Creators: name: Punyindu, P.
name: Sarma, S. Das
Publisher: name: arXiv
Year: 2000
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: This is a Comment on a recent publication: Y.-P. Zhao et al., Phys. Rev. Lett. 85, 3229 (2000). In the Letter, the authors report on an experimental investigation of polymeric (p-xylene) thin film growth and propose a new universality class not previously known. Here, we point out that the critical exponents reported in the Letter are consistent with the critical exponents of Das Sarma-Tamborenea growth model.
description: 2 pages, 1 figure included
Chaos and Fractals around Black Holes
Creators: name: Dettmann, C.
name: Frankel, N.
name: Cornish, N.
Publisher: name: arXiv
Year: 1995
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Fractal basin boundaries provide an important means of characterizing chaotic systems. We apply these ideas to general relativity, where other properties such as Lyapunov exponents are difficult to define in an observer independent manner. Here we discuss the difficulties in describing chaotic systems in general relativity and investigate the motion of particles in two- and three-black-hole spacetimes. We show that the dynamics is chaotic by exhibiting the basins of attraction of the black holes which have fractal boundaries. Overcoming problems of principle as well as numerical difficulties, we evaluate Lyapunov exponents numerically and find that some trajectories have a positive exponent.
description: To appear in "Fractals" March issue (World Scientific), 20 figures available by request, also available from SLAC's gr-qc postscript archive
Efficient description of experimental effects in amplitude analyses
Creators: name: Mathad, Abhijit
name: O'Hanlon, Daniel
name: Poluektov, Anton
name: Rabadan, Raul
Publisher: name: arXiv
Year: 2019
Subjects: subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Amplitude analysis is a powerful technique to study hadron decays. A significant complication in these analyses is the treatment of instrumental effects, such as background and selection efficiency variations, in the multidimensional kinematic phase space. This paper reviews conventional methods to estimate efficiency and background distributions and outlines the methods of density estimation using Gaussian processes and artificial neural networks. Such techniques see widespread use elsewhere, but have not gained popularity in use for amplitude analyses. Finally, novel applications of these models are proposed, to estimate background density in the signal region from the sidebands in multiple dimensions, and a more general method for model-assisted density estimation using artificial neural networks.
description: 34 pages, 15 figures, 4 tables. Version submitted to JINST
Successful collaboration knowledge transfer amongst student space clubs - the SERA rockets
Creators: name: LENORMAND, Robin
name: BARAS, Adrien
name: AUJAMES, Timothee
name: LACOMBE, Arthur
name: DELPEYRAT, Julien
Publisher: name: Proceedings of the 8th European Conference for Aeronautics and Space Sciences. Madrid, Spain, 1-4 july 2019
Year: 2019
Subjects: SUPERSONIC
SIMULATION
GROUND AND IN-FLIGHT TESTS
DESIGN
IN-FLIGHT MEASUREMENTS

description: The paper takes interest in how four French engineering student associations, along with industrial and research partners, achieved to design and launch supersonic rockets SERA-2-3 in 2016 and 2017. In particular, it reviews how governance and management was carried, as well as knowledge transfer amongst the teams and throughout the years. Indeed, most students (~80 for each rocket) could only take part in one rocket during the course of their studies, helping them to develop skills and providing them a best-in-class aerospace experience.
Behavior of a frustrated quantum spin chain with bond dimerization
Creators: name: Nakamura, Tota
name: Takada, Satoshi
Publisher: name: arXiv
Year: 1996
Subjects: subject: Condensed Matter (cond-mat)
subject: FOS: Physical sciences

description: We clarified behavior of the excitation gap in a frustrated S=1/2 quantum spin chain with bond dimerization by using the numerical diagonalization of finite systems and a variational approach. The model interpolates between the independent dimer model and the S=1 spin chain by changing a strength of the dimerization. The energy gap is minimum at the fully-frustrated point, where a localized kink and a freely mobile anti-kink govern the low-lying excitations. Away from the point, a kink and an antikink form a bound state by an effective triangular potential between them. The consequential gap enhancement and the localization length of the bound state is obtained exactly in the continuous limit. The gap enhancement obeys a power law with exponent 2/3. The method and the obtained results are common to other frustrated double spin-chain systems, such as the one-dimensional J_1 - J_2 model, or the frustrated ladder model.
description: 11 pages, REVTeX, 8 figures in eps-file
Correlated correlation functions in random-bond ferromagnets
Creators: name: Davis, Tom
name: Cardy, John
Publisher: name: arXiv
Year: 1999
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: The two-dimensional random-bond Q-state Potts model is studied for Q near 2 via the perturbative renormalisation group to one loop. It is shown that weak disorder induces cross-correlations between the quenched-averages of moments of the two-point spin/spin and energy/energy correlation functions, which should be observable numerically in specific linear combinations of various quenched correlation functions. The random-bond Ising model in (2+epsilon) dimensions is similarly treated. As a byproduct, a simple method for deriving the scaling dimensions of all moments of the local energy operator is presented.
description: AMS-LaTeX. 12 pages, 1 figure
Nirvana and Moksha versus Svatantrya of Kashmir Shaivism (Trika)
Creators: name: Timalsina, Staneshwar
Publisher: name: Zenodo
Year: 2024
Subjects: Spanda
shakti
Kula
yantra
Īśāna
saivadvaita
Chandi
Shiva
sthaneshwar timalsina
trika
Tantra
Camunda
Kali
Durga
mahadeva
Vasugupta
Saundaryalahari
vedanta
vimarsha-foundation
Tantric philosophy
anava upaya
Devi Mahatmya
sarvamnaya
Sarvamnaya
Sadāśiva
shakta upāya
sarvamnaya-oral-tradition-archive
advaita vedanta
agama
Shaiva
amnaya
Tripurasundari
tantraloka
tripura
Bhairava
Abhinavagupta
krama
Divine Mother
Kubjika
shambhava
Kaula
timalsina
Mahakali
consciousness
Mālinīvijayottaratantra
Tripura Rahasya
Shiva Sutra
Guhyakālī
Kashmir Shaivism

description: Acharya Dr. Sthaneshwar Timalsina is an esteemed traditionally consecrated teacher of Shaiva-Shakta Hindu Tantra. He is also the Endowed Chair of Indic Studies in New York, U.S.A. at Stony Brook University's College of Arts & Sciences in the Department of Asian & Asian-American Studies. Acharya Sthaneshwar founded Vimarsha Foundation as a modern school (gurukula) for teaching and reflecting on the ancient wisdom of r̥ṣis and siddhas. Through Vimarsha Foundation, a non-profit organization, Acharya Sthaneshwar teaches shastra and sādhanā to students of all backgrounds. The Vimarsha Foundation hosts free semester length courses on classic texts of the Tantric Tradition and offers many more free video and written teachings. Visit our website to learn more: https://www.vimarshafoundation.org/

For more informations about the Yoga Vasistha Course access the URL: https://www.vimarshafoundation.org/challenge-page/yogavasistha

Original YouTube video: https://www.youtube.com/watch?v=rFCnijemhRQ

This presentation is part of the Sarvāmnāya Oral Tradition Archive.
Vimarsha Foundation. (2025). The Sarvāmnāya Oral Tradition Archive [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15188107
Reduced Order Controller Design for Robust Output Regulation
Creators: name: Paunonen, Lassi
name: Phan, Duy
Publisher: name: arXiv
Year: 2018
Subjects: subject: Optimization and Control (math.OC)
subject: Numerical Analysis (math.NA)
subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 93C05, 93B52, 35K90, (93B28)

description: We study robust output regulation for parabolic partial differential equations and other infinite-dimensional linear systems with analytic semigroups. As our main results we show that robust output tracking and disturbance rejection for our class of systems can be achieved using a finite-dimensional controller and present algorithms for construction of two different internal model based robust controllers. The controller parameters are chosen based on a Galerkin approximation of the original PDE system and employ balanced truncation to reduce the orders of the controllers. In the second part of the paper we design controllers for robust output tracking and disturbance rejection for a 1D reaction-diffusion equation with boundary disturbances, a 2D diffusion-convection equation, and a 1D beam equation with Kelvin-Voigt damping.
description: Revised version with minor improvements and corrections. 28 pages, 9 figures. Accepted for publication in the IEEE Transactions on Automatic Control
title: ADCO, Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome I, Cart. 185 (11 H 70), f. 0270v
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2012
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Laboratoire de Médiévistique Occidentale de Paris
subject: cartulaire
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: LaMOP

description: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome I, Archives départementales de la Côte-d'Or, Cart. 185 (11 H 70), f. 0270v, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire général de Cîteaux, dit de Jean de Cirey, (XVe siècle), tome I, Archives départementales de la Côte-d'Or, Cart. 185 (11 H 70), f. 0270v, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
Predictive Validity - Conceptualising & Measuring Political (Dis)Interest as a Social Identity
Creators: name: Bakker, Bert N.
name: Schumacher, Gijs
name: Laffineur, Céline
Publisher: name: OSF Registries
Year: 2024
Subjects: subject: Social and Behavioral Sciences
subject: identity
subject: political behavior
subject: political behaviour
subject: political engagement
subject: political interest
subject: political psychology

description: Attached is a pre-analysis plan outlining the steps which will be taken to confirm the predictive validity of the scales on the second half of the data.
Additional file 2: of The JNK signaling pathway plays a key role in methuosis (non-apoptotic cell death) induced by MOMIPP in glioblastoma
Creators: name: Zehui Li
name: Nneka Mbah
name: Overmeyer, Jean
name: Sarver, Jeffrey
name: George, Sage
name: Trabbic, Christopher
name: Erhardt, Paul
name: Maltese, William
Publisher: name: figshare
Year: 2019
Subjects: subject: Biophysics
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology

description: Figure S2.. Luciferase expression in stable U251-LUC cells. (DOCX 395 kb)
Learning Deep Stochastic Optimal Control Policies using Forward-Backward SDEs
Creators: name: Pereira, Marcus
name: Wang, Ziyi
name: Exarchos, Ioannis
name: Theodorou, Evangelos A.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: In this paper we propose a new methodology for decision-making under uncertainty using recent advancements in the areas of nonlinear stochastic optimal control theory, applied mathematics, and machine learning. Grounded on the fundamental relation between certain nonlinear partial differential equations and forward-backward stochastic differential equations, we develop a control framework that is scalable and applicable to general classes of stochastic systems and decision-making problem formulations in robotics and autonomy. The proposed deep neural network architectures for stochastic control consist of recurrent and fully connected layers. The performance and scalability of the aforementioned algorithm are investigated in three non-linear systems in simulation with and without control constraints. We conclude with a discussion on future directions and their implications to robotics.
Distributed U-net model and Image Segmentation for Lung Cancer Detection
Creators: name: Hu, Tianzuo
Publisher: name: arXiv
Year: 2025
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Applications (stat.AP)
subject: Methodology (stat.ME)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Until now, in the wake of the COVID-19 pandemic in 2019, lung diseases, especially diseases such as lung cancer and chronic obstructive pulmonary disease (COPD), have become an urgent global health issue. In order to mitigate the goal problem, early detection and accurate diagnosis of these conditions are critical for effective treatment and improved patient outcomes. To further research and reduce the error rate of hospital diagnoses, this comprehensive study explored the potential of computer-aided design (CAD) systems, especially utilizing advanced deep learning models such as U-Net. And compared with the literature content of other authors, this study explores the capabilities of U-Net in detail, and enhances the ability to simulate CAD systems through the VGG16 algorithm. An extensive dataset consisting of lung CT images and corresponding segmentation masks, curated collaboratively by multiple academic institutions, serves as the basis for empirical validation. In this paper, the efficiency of U-Net model is evaluated rigorously and precisely under multiple hardware configurations, such as single CPU, single GPU, distributed GPU and federated learning, and the effectiveness and development of the method in the segmentation task of lung disease are demonstrated. Empirical results clearly affirm the robust performance of the U-Net model, most effectively utilizing four GPUs for distributed learning, and these results highlight the potential of U-Net-based CAD systems for accurate and timely lung disease detection and diagnosis huge potential.
Images of Betelgeuse with VLTI/MATISSE across the Great Dimming
Creators: name: Drevon, J.
name: Millour, F.
name: Cruzalèbes, P.
name: Paladini, C.
name: Scicluna, P.
name: Matter, A.
name: Chiavassa, A.
name: Montargès, M.
name: Cannon, E.
name: Allouche, F.
name: Hofmann, K. -H.
name: Lagarde, S.
name: Lopez, B.
name: Meilland, A.
name: Petrov, R.
name: Robbe-Dubois, S.
name: Schertl, D.
name: Abraham, G. Zins P.
name: Berio, P.
name: Hron, Th. Henningm J.
name: Isbell, J. W.
name: Jaffe, W.
name: Labadie, L.
name: Varga, J.
name: Weigelt, G.
name: Woillez, J.
name: van Boekel, R.
name: Danchi, E. Pantin W. C.
name: de Koter, A.
name: Rosas, V. Gamez
name: Hogerheijde, M. R.
name: Leftley, J.
name: Stee, P.
name: Waters, R.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: From Nov. 2019 to May 2020, the red supergiant star Betelgeuse experienced an unprecedented drop of brightness in the visible domain called the great dimming event. Large atmospheric dust clouds and large photospheric convective features are suspected to be responsible for it. To better understand the dimming event, we used mid-infrared long-baseline spectro-interferometric measurements of Betelgeuse taken with the VLTI/MATISSE instrument before (Dec. 2018), during (Feb. 2020), and after (Dec. 2020) the GDE. We present data in the 3.98 to 4.15\,$μ$m range to cover SiO spectral features molecules as well as adjacent continuum. We have employed geometrical models, image reconstruction, as well as radiative transfer models to monitor the spatial distribution of SiO over the stellar surface. We find a strongly in-homogeneous spatial distribution of SiO that appears to be looking very different between our observing epochs, indicative of a vigorous activity in the stellar atmosphere. The contrast of our images is small in the pseudo-continuum for all epochs, implying that our MATISSE observations support both cold spot and dust cloud model.
Additional file 3: of The JNK signaling pathway plays a key role in methuosis (non-apoptotic cell death) induced by MOMIPP in glioblastoma
Creators: name: Zehui Li
name: Nneka Mbah
name: Overmeyer, Jean
name: Sarver, Jeffrey
name: George, Sage
name: Trabbic, Christopher
name: Erhardt, Paul
name: Maltese, William
Publisher: name: figshare
Year: 2019
Subjects: subject: Cell Biology
subject: Molecular Biology
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Figure S3. Long-term treatment with MOMIPP does not cause weight loss in nude mice. (DOCX 159 kb)
title: ADCO, Cartulaire de l'abbaye de Cîteaux dit Cartulare Antiquum t.1 (début XIIIe siècle), Cart. 166 (11 H 64), 136 folios, f. 0130v
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédéric
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2012
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Laboratoire de Médiévistique Occidentale de Paris
subject: cartulaire
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: LaMOP

description: Cartulaire de l'abbaye de Cîteaux dit Cartulare Antiquum t.1 (début XIIIe siècle), Archives départementales de la Côte-d'Or, Cart. 166 (11 H 64), 136 folios, f. 0130v, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire de l'abbaye de Cîteaux dit Cartulare Antiquum t.1 (début XIIIe siècle), Archives départementales de la Côte-d'Or, Cart. 166 (11 H 64), 136 folios, f. 0130v, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
Additional file 1: of Chimeric tumor modeling reveals role of partial PDL1 expression in resistance to virally induced immunotherapy
Creators: name: Bartee, Mee
name: Dryja, Parker C.
name: Bartee, Eric
Publisher: name: figshare
Year: 2019
Subjects: subject: Medicine
subject: Molecular Biology
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Cancer

description: Figure S1. B16/F10 tumors lacking PDL1 are highly susceptible to oncolytic immunotherapy. Figure S2. Lung cancer tumors naturally lacking PDL1 are highly susceptible to oncolytic therapy. Figure S3. Lack of PDL1 does not influence MYXV infection. (PDF 358 kb)
Linked Cluster Series Expansions for Two-Particle Bound States
Creators: name: Zheng, Weihong
name: Hamer, C. J.
name: Singh, R. R. P.
name: Trebst, Simon
name: Monien, Hartmut
Publisher: name: arXiv
Year: 2000
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We develop strong-coupling series expansion methods to study two-particle spectra of quantum lattice models. At the heart of the method lies the calculation of an effective Hamiltonian in the two-particle subspace. We explicitly consider an orthogonality transformation to generate this block diagonalization, and find that maintaining orthogonality is crucial for systems where the ground state and the two-particle subspace are characterized by identical quantum numbers. We discuss the solution of the two-particle Schrödinger equation by using a finite lattice approach in coordinate space or by an integral equation in momentum space. These methods allow us to precisely determine the low-lying excitation spectra of the models at hand, including all two-particle bound/antibound states. Further, we discuss how to generate series expansions for the dispersions of the bound/antibound states. These allow us to employ series extrapolation techniques, whereby binding energies can be determined even when the expansion parameters are not small. We apply the method to the (1+1)D transverse Ising model and the two-leg spin-$\case 1/2$ Heisenberg ladder. For the latter model, we also calculate the coherence lengths and determine the critical properties where bound states merge with the two-particle continuum.
description: 10 figures, revtex
Program Decomposition and Translation with Static Analysis
Creators: name: Ibrahimzada, Ali Reza
Publisher: name: arXiv
Year: 2024
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: The rising popularity of Large Language Models (LLMs) has motivated exploring their use in code-related tasks. Code LLMs with more than millions of parameters are trained on a massive amount of code in different Programming Languages (PLs). Such models are used for automating various Software Engineering (SE) tasks using prompt engineering. However, given the very large size of industry-scale project files, a major issue of these LLMs is their limited context window size, motivating the question of "Can these LLMs process very large files and can we effectively perform prompt engineering?". Code translation aims to convert source code from one PL to another. In this work, we assess the effect of method-level program decomposition on context window of LLMs and investigate how this approach can enable translation of very large files which originally could not be done due to out-of-context issue. Our observations from 20 well-known java projects and approximately 60K methods suggest that method-level program decomposition significantly improves the limited context window problem of LLMs by 99.5%. Furthermore, our empirical analysis indicate that with method-level decomposition, each input fragment on average only consumes 5% of the context window, leaving more context space for prompt engineering and the output. Finally, we investigate the effectiveness of a Call Graph (CG) approach for translating very large files when doing method-level program decomposition.
description: Published in ICSE SRC 2024
Additional file 1: of The JNK signaling pathway plays a key role in methuosis (non-apoptotic cell death) induced by MOMIPP in glioblastoma
Creators: name: Zehui Li
name: Nneka Mbah
name: Overmeyer, Jean
name: Sarver, Jeffrey
name: George, Sage
name: Trabbic, Christopher
name: Erhardt, Paul
name: Maltese, William
Publisher: name: figshare
Year: 2019
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Developmental Biology
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Figure S1. Increased phosphorylation of c-Jun, Bcl-2 and Bcl-xL are early events during MOMIPP-induced methuosis. (DOCX 117 kb)
Connecting Knowledge Compilation Classes and Width Parameters
Creators: name: Amarilli, Antoine
name: Capelli, Florent
name: Monet, Mikaël
name: Senellart, Pierre
Publisher: name: arXiv
Year: 2018
Subjects: subject: Databases (cs.DB)
subject: Data Structures and Algorithms (cs.DS)
subject: FOS: Computer and information sciences
subject: H.2

description: The field of knowledge compilation establishes the tractability of many tasks by studying how to compile them to Boolean circuit classes obeying some requirements such as structuredness, decomposability, and determinism. However, in other settings such as intensional query evaluation on databases, we obtain Boolean circuits that satisfy some width bounds, e.g., they have bounded treewidth or pathwidth. In this work, we give a systematic picture of many circuit classes considered in knowledge compilation and show how they can be systematically connected to width measures, through upper and lower bounds. Our upper bounds show that bounded-treewidth circuits can be constructively converted to d-SDNNFs, in time linear in the circuit size and singly exponential in the treewidth; and that bounded-pathwidth circuits can similarly be converted to uOBDDs. We show matching lower bounds on the compilation of monotone DNF or CNF formulas to structured targets, assuming a constant bound on the arity (size of clauses) and degree (number of occurrences of each variable): any d-SDNNF (resp., SDNNF) for such a DNF (resp., CNF) must be of exponential size in its treewidth, and the same holds for uOBDDs (resp., n-OBDDs) when considering pathwidth. Unlike most previous work, our bounds apply to any formula of this class, not just a well-chosen family. Hence, we show that pathwidth and treewidth respectively characterize the efficiency of compiling monotone DNFs to uOBDDs and d-SDNNFs with compilation being singly exponential in the corresponding width parameter. We also show that our lower bounds on CNFs extend to unstructured compilation targets, with an exponential lower bound in the treewidth (resp., pathwidth) when compiling monotone CNFs of constant arity and degree to DNNFs (resp., nFBDDs).
description: 46 pages. Extended version of arXiv:1709.06188. Up to the stylesheet, page/environment numbering, minor formatting, and publisher-induced changes, this is the exact content of the paper in Theory of Computing Systems . The difference in the titles (missing "and") is an error introduced by the publisher
VOAs labelled by complex reflection groups and 4d SCFTs
Creators: name: Bonetti, Federico
name: Meneghelli, Carlo
name: Rastelli, Leonardo
Publisher: name: arXiv
Year: 2018
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Quantum Algebra (math.QA)
subject: Representation Theory (math.RT)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We define and study a class of $\mathcal{N}=2$ vertex operator algebras $\mathcal{W}_{\mathcal{\mathsf{G}}}$ labelled by complex reflection groups. They are extensions of the $\mathcal{N}=2$ super Virasoro algebra obtained by introducing additional generators, in correspondence with the invariants of the complex reflection group $\mathcal{\mathsf{G}}$. If $\mathcal{\mathsf{G}}$ is a Coxeter group, the $\mathcal{N}=2$ super Virasoro algebra enhances to the (small) $\mathcal{N}=4$ superconformal algebra. With the exception of $\mathcal{\mathsf{G}} = \mathbb{Z}_2$, which corresponds to just the $\mathcal{N}=4$ algebra, these are non-deformable VOAs that exist only for a specific negative value of the central charge. We describe a free-field realization of $\mathcal{W}_{\mathcal{\mathsf{G}}}$ in terms of rank$(\mathcal{\mathsf{G}})$ $βγbc$ ghost systems, generalizing a construction of Adamovic for the $\mathcal{N}=4$ algebra at $c = -9$. If $\mathcal{\mathsf{G}}$ is a Weyl group, $\mathcal{W}_{\mathcal{\mathsf{G}}}$ is believed to coincide with the $\mathcal{N}=4$ VOA that arises from the four-dimensional super Yang-Mills theory whose gauge algebra has Weyl group $\mathcal{\mathsf{G}}$. More generally, if $\mathcal{\mathsf{G}}$ is a crystallographic complex reflection group, $\mathcal{W}_{\mathcal{\mathsf{G}}}$ is conjecturally associated to an $\mathcal{N}=3$ $4d$ superconformal field theory. The free-field realization allows to determine the elusive `$R$-filtration' of $\mathcal{W}_{\mathcal{\mathsf{G}}}$, and thus to recover the full Macdonald index of the parent $4d$ theory
description: 70 pages
Occurrence of archaeophytes in agrophytocoenoses – field survey in the Czech Republic
Creators: name: Tyšer, L.
name: Kolářová, M.
name: Hoová, T.T.
Publisher: name: Agronomy Research
Year: 2019
Subjects: altitude
cereals
conventional farming
organic farming
weed communities
wide-row crops
article

description: Archaeophytes are alien plants introduced to the Czech Republic before the year 1500. Their occurrence is strongly connected with agricultural production. The aim of this study was to assess the occurrence of archaeophytes in arable fields in the Czech Republic in terms of applied management systems (conventional and organic farming), crops (winter cereals, spring cereals, wide-row crops) and environmental site conditions at different altitudes. In 2006–2018, a phytocoenological survey was conducted in selected farms across the Czech Republic. Totally, 180 weed species were found, of which 48.89% were considered as archaeophytes (88 species). In view of the invasive status, 5 archaeophytes were considered as invasive, the other 83 species were regarded as naturalized. The net effects of all variables studied on the occurrence of archaeophytes were statistically significant. The majority of the variation was explained by altitude, followed by crop and type of farming. Incidence of archaeophytes increases with an increasing altitude and is also related to their affinity with environmental factors. The highest occurrence of archaeophytes was found in cereals, some species, however, occur more frequently in wide row crops. The higher occurrence of archaeophytes was observed in organically managed fields.
Towards Improved Variational Inference for Deep Bayesian Models
Creators: name: Ober, Sebastian W.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Deep learning has revolutionized the last decade, being at the forefront of extraordinary advances in a wide range of tasks including computer vision, natural language processing, and reinforcement learning, to name but a few. However, it is well-known that deep models trained via maximum likelihood estimation tend to be overconfident and give poorly-calibrated predictions. Bayesian deep learning attempts to address this by placing priors on the model parameters, which are then combined with a likelihood to perform posterior inference. Unfortunately, for deep models, the true posterior is intractable, forcing the user to resort to approximations. In this thesis, we explore the use of variational inference (VI) as an approximation, as it is unique in simultaneously approximating the posterior and providing a lower bound to the marginal likelihood. If tight enough, this lower bound can be used to optimize hyperparameters and to facilitate model selection. However, this capacity has rarely been used to its full extent for Bayesian neural networks, likely because the approximate posteriors typically used in practice can lack the flexibility to effectively bound the marginal likelihood. We therefore explore three aspects of Bayesian learning for deep models: 1) we ask whether it is necessary to perform inference over as many parameters as possible, or whether it is reasonable to treat many of them as optimizable hyperparameters; 2) we propose a variational posterior that provides a unified view of inference in Bayesian neural networks and deep Gaussian processes; 3) we demonstrate how VI can be improved in certain deep Gaussian process models by analytically removing symmetries from the posterior, and performing inference on Gram matrices instead of features. We hope that our contributions will provide a stepping stone to fully realize the promises of VI in the future.
description: PhD Thesis; University of Cambridge
Theoretical analysis of force, pressure and energy distributions of bulk oil palm kernels along the screwline of a mechanical screw press FL 200
Creators: name: Kabutey, A.
name: Herak, D.
name: Mizera, C.
name: Hrabe, P.
Publisher: name: Agronomy Research
Year: 2019
Subjects: experimental data
mathematical model
screw geometry parameters
compression loading
responses and predictors
article

description: The present study is a follow-up of the previously published study on the mathematical description of loading curves and deformation energy of bulk oil palm kernels under compression loading, aimed at determining theoretically the amounts of force, pressure and energy along the screw lamella positions 𝑆𝐿𝑝 of the screw press FL 200 by applying the tangent curve mathematical model and the screwline geometry parameters (screw shaft diameter, screw inner and outer diameters, screw pitch diameter and the screw thickness). The fitting curve value 𝐹𝑣 of the tangent mathematical model was further examined at 𝐹𝑣 = 2 and 𝐹𝑣 = 3 by identifying the force, deformation, stress and compression coefficients at varying vessel diameters 𝐷𝑣 and initial pressing heights 𝐻𝑡 of the bulk oil palm kernels. Based on the results of the stepwise regression analysis, the amounts of the theoretical deformation energy 𝑇𝐷𝐸 in linear pressing as well as the theoretical force 𝐹𝑟 , pressure 𝑃𝑟 and energy 𝑆𝐿𝐸 of the screw press FL 200 were statistically significant (P-value < 0.05) or (F-value > significance F) in relation to the predictors (𝐻𝑡 , 𝐷𝑣 , 𝐹𝑣 and 𝑆𝐿𝑝). The coefficient of determination (R2 ) values between 61 and 86 % were observed for the determined regression models indicating that the responses 𝑇𝐷𝐸, 𝐹𝑟 , 𝑃𝑟 and 𝑆𝐿𝐸 can accurately be predicted by the corresponding predictors. The normal probability plots of the responses approximately showed a normal distribution.