cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Supplemental material for A big data pipeline: Identifying dynamic gene regulatory networks from time-course Gene Expression Omnibus data with applications to influenza infection
Creators: name: Carey, Michelle
name: Ramírez, Juan Camilo
name: Wu, Shuang
name: Wu, Hulin
name: Dattner, Itai
name: Huppert, Amit
Publisher: name: SAGE Journals
Year: 2018
Subjects: Health and Community Services
Nursing not elsewhere classified
Sociological Methodology and Research Methods

description: Supplemental material for A big data pipeline: Identifying dynamic gene regulatory networks from time-course Gene Expression Omnibus data with applications to influenza infection by Michelle Carey, Juan Camilo Ramírez, Shuang Wu and Hulin Wu in Statistical Methods in Medical Research
Supplementary_File_(1) – Supplemental material for Investigation of axial thrust deviation between the theory and experiment for high-speed mine submersible pump
Creators: name: Xia, Bin
name: Kong, Fanyu
name: Zhang, Hui
name: Yang, Lei
name: Qian, Wanghuan
Publisher: name: SAGE Journals
Year: 2018
Subjects: Engineering not elsewhere classified

description: Supplemental material, Supplementary_File_(1) for Investigation of axial thrust deviation between the theory and experiment for high-speed mine submersible pump by Bin Xia, Fanyu Kong, Hui Zhang, Lei Yang and Wanghuan Qian in Advances in Mechanical Engineering
Donus dauci
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Curculionidae
Donus
Donus dauci

description: Donus dauci (Olivier, 1807)
[= Curculio fasciculatus Herbst, 1795 not De Geer, 1775] (Dieckmann 1981).
description: Published as part of Colonnelli, Enzo, 2003, A revised checklist of Italian Curculionoidea (Coleoptera), pp. 1-142 in Zootaxa 337 (1) on page 14, DOI: 10.11646/zootaxa.337.1.1, http://zenodo.org/record/5019737
Estimation of photon number distribution and derivative characteristics of photon-pair sources
Creators: name: Lee, Sang Min
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The evaluation of a photon-pair source employs characteristic metrics like the photon-pair generation rate, heralding efficiency, and second-order correlation function, all of which are determined by the photon number distribution of the source. The photon number distribution, however, can be altered due to spectral or spatial filtering and optical losses, leading to changes in the above characteristics. In this paper, we theoretically describe the effects of different filterings, losses, and noise counts on the photon number distribution and related characteristics. From the theoretical description, an analytic expression for the effective mode number of the joint spectral density is also derived. Compared with previous methods for estimating the photon number distribution and characteristics, an improved methodology is introduced along with a suitable metric of accuracy for estimating the photon number distribution, focusing on photon-pair sources. We discuss the accuracy of the calculated characteristics from the estimated (or reconstructed) photon number distribution through repeated simulations and bootstrapped experimental data.
Plaquette Models, Cellular Automata, and Measurement-induced Criticality
Creators: name: Liu, Hanchen
name: Chen, Xiao
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We present a class of two-dimensional randomized plaquette models, where the multi-spin interaction term, referred to as the plaquette term, is replaced by a single-site spin term with a probability of $1-p$. By varying $p$, we observe a ground state phase transition, or equivalently, a phase transition of the symmetry operator. We find that as we vary $p$, the symmetry operator changes from being extensive to being localized in space. These models can be equivalently understood as 1+1D randomized cellular automaton dynamics, allowing the 2D transition to be interpreted as a 1+1D dynamical absorbing phase transition. In this paper, our primary focus is on the plaquette term with three or five-body interactions, where we explore the universality classes of the transitions. Specifically, for the model with five-body interaction, we demonstrate that it belongs to the same universality class as the measurement-induced entanglement phase transition observed in 1+1D Clifford dynamics, as well as the boundary entanglement transition of the 2D cluster state induced by random bulk Pauli measurements. This work establishes a connection between transitions in classical spin models, cellular automata, and hybrid random circuits.
A Review of Gravitational Memory and BMS Frame Fixing in Numerical Relativity
Creators: name: Mitman, Keefe
name: Boyle, Michael
name: Stein, Leo C.
name: Deppe, Nils
name: Kidder, Lawrence E.
name: Moxon, Jordan
name: Pfeiffer, Harald P.
name: Scheel, Mark A.
name: Teukolsky, Saul A.
name: Throwe, William
name: Vu, Nils L.
Publisher: name: arXiv
Year: 2024
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Gravitational memory effects and the BMS freedoms exhibited at future null infinity have recently been resolved and utilized in numerical relativity simulations. With this, gravitational wave models and our understanding of the fundamental nature of general relativity have been vastly improved. In this paper, we review the history and intuition behind memory effects and BMS symmetries, how they manifest in gravitational waves, and how controlling the infinite number of BMS freedoms of numerical relativity simulations can crucially improve the waveform models that are used by gravitational wave detectors. We reiterate the fact that, with memory effects and BMS symmetries, not only can these next-generation numerical waveforms be used to observe never-before-seen physics, but they can also be used to test GR and learn new astrophysical information about our universe.
description: 22 pages, 8 figures. Matches published version in CGQ's focus issue: Gravitational-Wave Memory Effects: From Theory to Observation
Additional file 2 of Robust and rigorous identification of tissue-specific genes by statistically extending tau score
Creators: name: Lüleci, Hatice Büşra
name: Yılmaz, Alper
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 2. Distribution of gene expression levels in all datasets - violin and boxplots.
Dorytomus edoughensis Desbrochers 1875
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Curculionidae
Dorytomus
Dorytomus edoughensis

description: Dorytomus edoughensis Desbrochers, 1875
[= Curculio affinis Paykull, 1800 not Schrank, 1781] (Abbazzi et al. 1995).
description: Published as part of Colonnelli, Enzo, 2003, A revised checklist of Italian Curculionoidea (Coleoptera), pp. 1-142 in Zootaxa 337 (1) on page 14, DOI: 10.11646/zootaxa.337.1.1, http://zenodo.org/record/5019737
Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors
Creators: name: Pata, Joosep
name: Wulff, Eric
name: Mokhtar, Farouk
name: Southwick, David
name: Zhang, Mengke
name: Girone, Maria
name: Duarte, Javier
Publisher: name: arXiv
Year: 2023
Subjects: subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: Machine Learning (cs.LG)
subject: High Energy Physics - Experiment (hep-ex)
subject: Instrumentation and Detectors (physics.ins-det)
subject: Machine Learning (stat.ML)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Efficient and accurate algorithms are necessary to reconstruct particles in the highly granular detectors anticipated at the High-Luminosity Large Hadron Collider and the Future Circular Collider. We study scalable machine learning models for event reconstruction in electron-positron collisions based on a full detector simulation. Particle-flow reconstruction can be formulated as a supervised learning task using tracks and calorimeter clusters. We compare a graph neural network and kernel-based transformer and demonstrate that we can avoid quadratic operations while achieving realistic reconstruction. We show that hyperparameter tuning significantly improves the performance of the models. The best graph neural network model shows improvement in the jet transverse momentum resolution by up to 50% compared to the rule-based algorithm. The resulting model is portable across Nvidia, AMD and Habana hardware. Accurate and fast machine-learning based reconstruction can significantly improve future measurements at colliders.
description: 21 pages, 10 figures
AD-Aligning: Emulating Human-like Generalization for Cognitive Domain Adaptation in Deep Learning
Creators: name: Li, Zhuoying
name: Wan, Bohua
name: Mu, Cong
name: Zhao, Ruzhang
name: Qiu, Shushan
name: Yan, Chao
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Domain adaptation is pivotal for enabling deep learning models to generalize across diverse domains, a task complicated by variations in presentation and cognitive nuances. In this paper, we introduce AD-Aligning, a novel approach that combines adversarial training with source-target domain alignment to enhance generalization capabilities. By pretraining with Coral loss and standard loss, AD-Aligning aligns target domain statistics with those of the pretrained encoder, preserving robustness while accommodating domain shifts. Through extensive experiments on diverse datasets and domain shift scenarios, including noise-induced shifts and cognitive domain adaptation tasks, we demonstrate AD-Aligning's superior performance compared to existing methods such as Deep Coral and ADDA. Our findings highlight AD-Aligning's ability to emulate the nuanced cognitive processes inherent in human perception, making it a promising solution for real-world applications requiring adaptable and robust domain adaptation strategies.
description: Accepted by 2024 5th International Conference on Electronic Communication and Artificial Intelligence
Entanglement transitions in a periodically driven non-Hermitian Ising chain
Creators: name: Banerjee, Tista
name: Sengupta, K.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study entanglement transitions in a periodically driven Ising chain in the presence of an imaginary transverse field $γ$ as a function of drive frequency $ω_D$. In the high drive amplitude and frequency regime, we find a critical value $γ=γ_c$ below which the steady state half-chain entanglement entropy, $S_{L/2}$, scales with chain length $L$ as $S_{L/2} \sim \ln L$; in contrast, for $γ>γ_c$, it becomes independent of $L$. In the small $γ$ limit, we compute the coefficient, $α$, of the $\ln L$ term analytically using a Floquet perturbation theory and trace its origin to the presence of Fisher-Hartwig jump singularities in the correlation function of the driven chain. We also study the frequency dependence of $γ_c$ and show that $γ_c \to 0$ at special drive frequencies; at these frequencies, which we analytically compute, $S_{L/2}$ remain independent of $L$ for all $γ$. This behavior can be traced to an approximate emergent symmetry of the Floquet Hamiltonian at these drive frequencies which we identify. Finally, we discus the behavior of the driven system at low and intermediate drive frequencies. Our analysis shows the presence of volume law behavior of the entanglement in this regime $S_{\ell} \sim \ell$ for small subsystem length $\ell \le \ell^{\ast}(ω_D)$. We identify $\ell^{\ast}(ω_D)$ and tie its existence to the effective long-range nature of the Floquet Hamiltonian of the driven chain for small subsystem size. We discuss the applicability of our results to other integrable non-hermitian models.
description: v2; 8 figs 17 pages; minor changes
Supplementary_Table_1 – Supplemental material for God’s Country in Black and Blue: How Christian Nationalism Shapes Americans’ Views about Police (Mis)treatment of Blacks
Creators: name: Perry, Samuel L.
name: Whitehead, Andrew L.
name: Davis, Joshua T.
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 200299 Cultural Studies not elsewhere classified
subject: FOS: Other humanities
subject: Ethnic Studies
subject: Sociology
subject: FOS: Sociology

description: Supplemental material, Supplementary_Table_1 for God’s Country in Black and Blue: How Christian Nationalism Shapes Americans’ Views about Police (Mis)treatment of Blacks by Samuel L. Perry, Andrew L. Whitehead and Joshua T. Davis in Sociology of Race and Ethnicity
Explainable Offline-Online Training of Neural Networks for Parameterizations: A 1D Gravity Wave-QBO Testbed in the Small-data Regime
Creators: name: Pahlavan, Hamid A.
name: Hassanzadeh, Pedram
name: Alexander, M. Joan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: Computational Physics (physics.comp-ph)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences

description: There are different strategies for training neural networks (NNs) as subgrid-scale parameterizations. Here, we use a 1D model of the quasi-biennial oscillation (QBO) and gravity wave (GW) parameterizations as testbeds. A 12-layer convolutional NN that predicts GW forcings for given wind profiles, when trained offline in a big-data regime (100-years), produces realistic QBOs once coupled to the 1D model. In contrast, offline training of this NN in a small-data regime (18-months) yields unrealistic QBOs. However, online re-training of just two layers of this NN using ensemble Kalman inversion and only time-averaged QBO statistics leads to parameterizations that yield realistic QBOs. Fourier analysis of these three NNs' kernels suggests why/how re-training works and reveals that these NNs primarily learn low-pass, high-pass, and a combination of band-pass filters, consistent with the importance of both local and non-local dynamics in GW propagation/dissipation. These findings/strategies apply to data-driven parameterizations of other climate processes generally.
Characteristics of Gravity Waves in Opposing Phases of the QBO: A Reanalysis Perspective with ERA5
Creators: name: Pahlavan, Hamid A.
name: Wallace, John M.
name: Fu, Qiang
name: Alexander, M. Joan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: FOS: Physical sciences

description: ERA5 data for the period of 1979-2019 are used as a basis for investigating the properties of gravity waves as they disperse and propagate upward through the stratosphere during opposing phases of the QBO. Two-sided zonal wavenumber-frequency spectra of vertical velocity in the stratosphere exhibit distinctive gravity wave signatures. Consistent with theory, westward propagating waves tend to be suppressed during the easterly QBO phase and eastward propagating waves tend to be suppressed during the westerly phase. Cospectra of the vertical flux of zonal momentum also show significant asymmetries between eastward and westward propagating waves during opposing QBO phases. Phase speed spectra of the vertical flux of momentum are indicative of a strong dissipation of westward propagating gravity waves during the easterly phase and vice versa; i.e., a selective "wind filtering" of the waves as they propagate upward. The three-dimensional structure of the gravity waves is revealed by compositing. In the absence of a background zonal flow, the waves radiate outward and upward from their respective reference grid points in concentric rings. When a zonal flow is present, the rings are amplified and compressed upstream of the source and attenuated and stretched downstream of it, such that they assume the form of arcs. These results serve to confirm the applicability of the mechanism proposed by Lindzen and Holton (1968) to explain the downward propagation of the QBO. The QBO also influences the spectrum of gravity waves in ERA5 at 100 hPa, below the layer in which wind-filtering occurs.
Dorytomus suratus
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Curculionidae
Dorytomus
Dorytomus suratus

description: Dorytomus suratus (Gyllenhal, 1836)
[= Curculio flavipes Panzer, 1797 not DeGeer, 1775] (Abbazzi et al. 1995).
description: Published as part of Colonnelli, Enzo, 2003, A revised checklist of Italian Curculionoidea (Coleoptera), pp. 1-142 in Zootaxa 337 (1) on page 14, DOI: 10.11646/zootaxa.337.1.1, http://zenodo.org/record/5019737
A Hybrid Framework with Large Language Models for Rare Disease Phenotyping
Creators: name: Wu, Jinge
name: Dong, Hang
name: Li, Zexi
name: Wang, Haowei
name: Li, Runci
name: Patra, Arijit
name: Dai, Chengliang
name: Ali, Waqar
name: Scordis, Phil
name: Wu, Honghan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: Rare diseases pose significant challenges in diagnosis and treatment due to their low prevalence and heterogeneous clinical presentations. Unstructured clinical notes contain valuable information for identifying rare diseases, but manual curation is time-consuming and prone to subjectivity. This study aims to develop a hybrid approach combining dictionary-based natural language processing (NLP) tools with large language models (LLMs) to improve rare disease identification from unstructured clinical reports. We propose a novel hybrid framework that integrates the Orphanet Rare Disease Ontology (ORDO) and the Unified Medical Language System (UMLS) to create a comprehensive rare disease vocabulary. The proposed hybrid approach demonstrates superior performance compared to traditional NLP systems and standalone LLMs. Notably, the approach uncovers a significant number of potential rare disease cases not documented in structured diagnostic records, highlighting its ability to identify previously unrecognized patients.
Supplemental_file_5 - Prevalence of Posttraumatic Stress Disorder among Children and Adolescents following Road Traffic Accidents: A Meta-Analysis
Creators: name: Wenjie Dai
name: Aizhong Liu
name: Atipatsa C. Kaminga
name: Deng, Jing
name: Zhiwei Lai
name: Wen, Shi Wu
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: FOS: Clinical medicine

description: Supplemental_file_5 for Prevalence of Posttraumatic Stress Disorder among Children and Adolescents following Road Traffic Accidents: A Meta-Analysis by Wenjie Dai, Aizhong Liu, Atipatsa C. Kaminga, Jing Deng, Zhiwei Lai, and Shi Wu Wen in The Canadian Journal of Psychiatry
792271suppmat – Supplemental material for Performance and predictors of recruitment success in National Heart, Lung, and Blood Institute’s cardiovascular clinical trials
Creators: name: Pemberton, Victoria L
name: Evans, Frank
name: Gulin, Jamie
name: Rosenberg, Ellen
name: Ebyan Addou
name: Burns, Kristin M
name: Gordon, David J
name: Pearson, Gail D
name: Kaltman, Jonathan R
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, 792271suppmat for Performance and predictors of recruitment success in National Heart, Lung, and Blood Institute’s cardiovascular clinical trials by Victoria L Pemberton, Frank Evans, Jamie Gulin, Ellen Rosenberg, Ebyan Addou, Kristin M Burns, David J Gordon, Gail D Pearson and Jonathan R Kaltman in Clinical Trials
Enedreytes Schonherr 1839
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Anthribidae
Enedreytes

description: Enedreytes Schönherr, 1839
[= Enedreutes Agassiz, 1846] (Alonso­Zarazaga & Lyal 1999).
description: Published as part of Colonnelli, Enzo, 2003, A revised checklist of Italian Curculionoidea (Coleoptera), pp. 1-142 in Zootaxa 337 (1) on page 14, DOI: 10.11646/zootaxa.337.1.1, http://zenodo.org/record/5019737
Modes, Bounds, and Synthesis of Optimal Electromagnetic Scatterers
Creators: name: Gustafsson, Mats
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mathematical Physics (math-ph)
subject: Classical Physics (physics.class-ph)
subject: Computational Physics (physics.comp-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: This paper presents an optimal synthesis of material distributions in obstacles for maximal extinction, scattering, or absorption. The material synthesis is based on an explicit construction utilizing the current distribution derived from physical bounds excited from the far-field. The bounds are expressed in radiation modes for materials restricted by their resistivity and characteristic modes for materials restricted by the contrast. The results are valid for arbitrary shapes, and analytical expressions are provided for spherical shapes.
Alle_Open_Practices_Disclosure – Supplemental material for Involuntary Autobiographical Memory and Future Thought Predicting Hallucination Proneness
Creators: name: Allé, Mélissa C.
name: Berna, Fabrice
name: Berntsen, Dorthe
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, Alle_Open_Practices_Disclosure for Involuntary Autobiographical Memory and Future Thought Predicting Hallucination Proneness by Mélissa C. Allé, Fabrice Berna and Dorthe Berntsen in Clinical Psychological Science
Eutrichapion Reitter 1916
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Brentidae
Eutrichapion

description: Eutrichapion Reitter, 1916
[= E. subgen. Cnemapion Bokor, 1923; = E. subgen. Phalacrolobus Alonso­Zarazaga, 1990; = E. subgen. Psilocalymma Alonso­Zarazaga, 1990] (Gønget 1997).
description: Published as part of Colonnelli, Enzo, 2003, A revised checklist of Italian Curculionoidea (Coleoptera), pp. 1-142 in Zootaxa 337 (1) on page 14, DOI: 10.11646/zootaxa.337.1.1, http://zenodo.org/record/5019737
Small examples of mosaics of combinatorial designs
Creators: name: Krčadinac, Vedran
Publisher: name: arXiv
Year: 2024
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05B20, 05B05

description: We give the first example of a mosaic of three combinatorial designs with distinct parameters $2$-$(13,3,1)$, $2$-$(13,4,2)$, and $2$-$(13,6,5)$. Furthermore, we give examples of mosaics of $2$-$(9,3,2)$ designs that are not resolvable, thereby answering a question posed by M. Wiese and H. Boche. Finally, we give an example of a mosaic of projective planes of order $3$ that cannot be obtained by tiling groups with difference sets.
description: 6 pages
Inflation and Higgs Phenomenology in a Model Unifying the DFSZ Axion with the Majoron
Creators: name: Matlis, Michael
name: Dutta, Juhi
name: Moortgat-Pick, Gudrid
name: Ringwald, Andreas
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The Two-Higgs-Doublet-Standard Model-Axion-Seesaw-Higgs-Portal inflation (2hdSMASH) model consisting of two Higgs doublets, a Standard Model (SM) singlet complex scalar and three SM singlet right-handed neutrinos can embed axion dark matter, neutrino masses and address inflation. We report on an investigation of the inflationary aspects of 2hdSMASH and its subsequent impact on low energy phenomenology. In particular, we identify inflationary directions for which the parameter values required for successful inflation do not violate perturbative unitarity and boundedness-from-below conditions. By analyzing the renormalization-group flow of the parameters we identify the necessary and sufficient constraints for running all parameters perturbatively and maintaining stability from the electroweak to the PLANCK scale. We observe that stringent constraints arise on the singlet scalar self coupling from inflationary constraints, i.e, $λ_S\sim 10^{-10}$. Further, we find that all theoretical and experimental constraints are satisfied if the portal couplings are typically in the range $(\frac{v}{v_S})$ and $(\frac{v}{v_S})^2$ (where $v, v_S$ refer to the electroweak and singlet scalar vacuum expectation value respectively). As a consequence, inflation is realized in a variety of field space directions in the effective single field regime. Finally we provide testable benchmark scenarios at colliders.
description: 72 pages, 18 figures, 7 tables, final version accepted for publication in JCAP
Supplemental Material, sj-pdf-1-ppq-10.1177_1354068818790117 - From popularity to vulnerability: An application to dynamic representation in coalition governments
Creators: name: Bernardi, Luca
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental Material, sj-pdf-1-ppq-10.1177_1354068818790117 for From popularity to vulnerability: An application to dynamic representation in coalition governments by Luca Bernardi in Party Politics
Soft happy colourings and community structure of networks
Creators: name: Shekarriz, Mohammad H.
name: Thiruvady, Dhananjay
name: Nazari, Asef
name: Lewis, Rhyd
Publisher: name: arXiv
Year: 2024
Subjects: subject: Discrete Mathematics (cs.DM)
subject: FOS: Computer and information sciences

description: For $0<ρ\leq 1$, a $ρ$-happy vertex $v$ in a coloured graph $G$ has at least $ρ\cdot \mathrm{deg}(v)$ same-colour neighbours, and a $ρ$-happy colouring (aka soft happy colouring) of $G$ is a vertex colouring that makes all the vertices $ρ$-happy. A community is a subgraph whose vertices are more adjacent to themselves than the rest of the vertices. Graphs with community structures can be modelled by random graph models such as the stochastic block model (SBM). In this paper, we present several theorems showing that both of these notions are related, with numerous real-world applications. We show that, with high probability, communities of graphs in the stochastic block model induce $ρ$-happy colouring on all vertices if certain conditions on the model parameters are satisfied. Moreover, a probabilistic threshold on $ρ$ is derived so that communities of a graph in the SBM induce a $ρ$-happy colouring. Furthermore, the asymptotic behaviour of $ρ$-happy colouring induced by the graph's communities is discussed when $ρ$ is less than a threshold. We develop heuristic polynomial-time algorithms for soft happy colouring that often correlate with the graphs' community structure. Finally, we present an experimental evaluation to compare the performance of the proposed algorithms thereby demonstrating the validity of the theoretical results.
description: 34 pages, 15 figures, 2 tables
Ferreria Alonso-Zarazaga & Lyal 1999
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Brachyceridae
Ferreria

description: Ferreria Alonso­Zarazaga & Lyal, 1999
[= Raymondionymus: Ganglbauer, 1906 not Wollaston, 1873] (Alonso­Zarazaga & Lyal 1999).
description: Published as part of Colonnelli, Enzo, 2003, A revised checklist of Italian Curculionoidea (Coleoptera), pp. 1-142 in Zootaxa 337 (1) on page 14, DOI: 10.11646/zootaxa.337.1.1, http://zenodo.org/record/5019737
Margeridig Gervennou a lavare d'he zad (Margueri Guervenou dit un jour à son père)
Creators: name: Musée National Des Arts Et Traditions Populaires (Paris)
name: Centre D'ethnologie Française
Publisher: name: École des Hautes Études en Sciences Sociales; Institut  interdisciplinaire d'anthropologie du contemporain (Paris); Laboratoire d'anthropologie et d'histoire de l'institution de la culture (Paris)
Year: 2024

Abstract
Additional file 1 of A prospective cross-sectional study assessing teaching of interventional radiology across 20 Australian medical schools, endorsed by the Australian Medical Students Association
Creators: name: Clements, Warren
name: Zia, Adil
name: Srinivas, Abhishekh
name: Davis, Jasmine
name: Goh, Gerard S.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Sociology
subject: FOS: Sociology
subject: Science Policy

description: Additional file 1: Appendix 1. Medical student survey questions.
Online_Appendix - Going Vague: Ambiguity and Avoidance in Online Political Messaging
Creators: name: Chapp, Christopher
name: Roback, Paul
name: Johnson-Tesch, Kendra
name: Rossing, Adrian
name: Werner, Jack
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: Science Policy
subject: Sociology
subject: FOS: Sociology

description: Online_Appendix for Going Vague: Ambiguity and Avoidance in Online Political Messaging by Christopher Chapp, Paul Roback, Kendra Johnson-Tesch, Adrian Rossing, and Jack Werner in Social Science Computer Review
Interplay of type-I and type-II seesaw in neutrinoless double beta decay in left-right symmetric model
Creators: name: Banerjee, Vivek
name: Mishra, Sasmita
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The left-right symmetric models (LRSM) generally include type-I and type-II induced seesaw masses as a hybrid mass for the light-active neutrinos. Assuming a particular form of Dirac-type coupling,
 the Majorana-type coupling in the seesaw mass formula can be expressed in terms of
 low-energy neutrino oscillation observables and vacuum expectation values (vevs) of the scalar fields
 present in the model. The Majorana-type coupling thus admits eight different solutions by
 considering whether the type-I and type-II terms dominate the light neutrino mass.
 We study the role of all eight solutions in the lepton number violating neutrinoless double beta decay
 ($0νββ$) process. In LRSM, the right-handed neutrinos, triplet scalars, and gauge bosons
 of the left and right sectors mediate new contributions to the $0νββ$ process.
 As a result, the effective mass of electron neutrino appearing in the decay width would be a
 function of $v_R$ (vev of the Higgs triplet of the right sector) along with other
 model parameters, through the masses of the new contributions. The energy scale,
 $v_R$ can be considered as the new physics scale which allows exploring physics beyond the Standard Model.
 Considering the present and future sensitivity of searches of $0νββ$, we study the
 role of eight different solutions of the Majorana coupling matrix. In our study, the inverted
 hierarchy of light neutrino masses is disfavored for all solutions keeping future sensitivity of
 effective mass in the picture, if the lightest mass of active neutrinos is below $0.001$ eV.
 Also, our study shows a possibility of new physics contributions saturating
 the experimental bound on effective mass for $v_R$ in the range of $10$ TeV for two particular solutions
 of the Majorana coupling matrix and simultaneously provides the insights about parity breaking scale.
description: matches with the published version
Supplemental material for Cerebrospinal fluid GAP-43 in early multiple sclerosis
Creators: name: U Rot
name: Å Sandelius
name: A Emeršič
name: H Zetterberg
name: K Blennow
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: Neuroscience

description: Supplemental material for Cerebrospinal fluid GAP-43 in early multiple sclerosis by U Rot, Å Sandelius, A Emeršič, Zetterberg HK Blennow in Multiple Sclerosis Journal – Experimental, Translational and Clinical
Examining the Influence of Varied Levels of Domain Knowledge Base Inclusion in GPT-based Intelligent Tutors
Creators: name: Castleman, Blake
name: Turkcan, Mehmet Kerem
Publisher: name: arXiv
Year: 2023
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: I.2.7; K.3

description: Recent advancements in large language models (LLMs) have facilitated the development of chatbots with sophisticated conversational capabilities. However, LLMs exhibit frequent inaccurate responses to queries, hindering applications in educational settings. In this paper, we investigate the effectiveness of integrating a knowledge base (KB) with LLM intelligent tutors to increase response reliability. To achieve this, we design a scaleable KB that affords educational supervisors seamless integration of lesson curricula, which is automatically processed by the intelligent tutoring system. We then detail an evaluation, where student participants were presented with questions about the artificial intelligence curriculum to respond to. GPT-4 intelligent tutors with varying hierarchies of KB access and human domain experts then assessed these responses. Lastly, students cross-examined the intelligent tutors' responses to the domain experts' and ranked their various pedagogical abilities. Results suggest that, although these intelligent tutors still demonstrate a lower accuracy compared to domain experts, the accuracy of the intelligent tutors increases when access to a KB is granted. We also observe that the intelligent tutors with KB access exhibit better pedagogical abilities to speak like a teacher and understand students than those of domain experts, while their ability to help students remains lagging behind domain experts.
Supplemental_Figure_1 – Supplemental material for Circadian-based Treatment Strategy Effective in the BACHD Mouse Model of Huntington’s Disease
Creators: name: Whittaker, Daniel S.
name: Loh, Dawn H.
name: Huei-Bin Wang
name: Tahara, Yu
name: Dika Kuljis
name: Cutler, Tamara
name: Ghiani, Cristina A.
name: Shibata, Shigenobu
name: Block, Gene D.
name: Colwell, Christopher S.
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 110306 Endocrinology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Neuroscience

description: Supplemental material, Supplemental_Figure_1 for Circadian-based Treatment Strategy Effective in the BACHD Mouse Model of Huntington’s Disease by Daniel S. Whittaker, Dawn H. Loh, Huei-Bin Wang, Yu Tahara, Dika Kuljis, Tamara Cutler, Cristina A. Ghiani, Shigenobu Shibata, Gene D. Block and Christopher S. Colwell in Journal of Biological Rhythms
Ferreria marqueti subsp. apennina
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Brachyceridae
Ferreria
Ferreria marqueti
Ferreria marqueti apennina (dieck, 1869)

description: Ferreria marqueti apennina (Dieck, 1869)
[= F. m. taurinorum Osella, 1977] (Osella & Di Marco 1996).
description: Published as part of Colonnelli, Enzo, 2003, A revised checklist of Italian Curculionoidea (Coleoptera), pp. 1-142 in Zootaxa 337 (1) on page 14, DOI: 10.11646/zootaxa.337.1.1, http://zenodo.org/record/5019737
Additional file 1 of Sanfu herbal patch applied at acupoints in patients with bronchial asthma: statistical analysis plan for a randomised controlled trial
Creators: name: Xu, Danghan
name: Li, Jialing
name: Di, Anqi
name: Yang, Peidan
name: Xie, Xiaoyan
name: Xu, Yiming
name: He, Jun
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Cell Biology
Pharmacology
Cancer
Science Policy

description: Additional file 1.
[Querida familia - Supongo q. Al llegar ésta ya habrá llegado la carta q. Le mandé a Ofelia]
Creators: name: Laura, Ojeda
name: Ojeda, Laura
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2025

description: Destinataire : Ojeda, Hugo Eduardo / Burgos, Rosa / Ojeda, Ofelia / Ojeda, Carlos
description: Lettre à sa famille, envoyée depuis la Prison de Villa Devoto, dans laquelle l’autrice évoque : une lettre envoyée à sa sœur Ofelia, une sanction de 5 jours l’empêchant d’écrire (développe sur le sujet), ses conditions de détentions, une lettre envoyée au Ministre de l’Intérieur sans réponse jusqu’alors, et l’arrivée d’un colis.
description: Carta a su familia, enviada desde la Cárcel de Villa Devoto, en la que la autora menciona: una carta enviada a su hermana Ofelia, una sanción de 5 días impidiéndole escribir (desarrolla sobre el tema), sus condiciones de detención, una carta enviada al Ministro del Interior sin respuesta hasta entonces, y la llegada de un paquete.
description: Notes : Un feuillet écrit recto et verso au stylo bleu. Lettre datée du 7 mars (absence de l’année, mais 1976 ou 1977). Tampons [Sup. Decreto 2023/74] et [Censurada] dans la partie supérieure de la première page.
description: Source: FR-LO-B-012
description: Source: Localisation du fonds : Argentine / Rosario
description: created: 1976-03/1977-03
Gasteroclisus Desbrochers 1904
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Curculionidae
Gasteroclisus

description: Gasteroclisus Desbrochers, 1904
[= Hypolixus: Petri, 1904 not Desbrochers, 1898] (Alonso­ Zarazaga & Lyal 1999).
description: Published as part of Colonnelli, Enzo, 2003, A revised checklist of Italian Curculionoidea (Coleoptera), pp. 1-142 in Zootaxa 337 (1) on page 14, DOI: 10.11646/zootaxa.337.1.1, http://zenodo.org/record/5019737
Atomic corrections for the unique first forbidden $β$ transition of $^{187}$Re
Creators: name: Niţescu, O.
name: Dvornický, R.
name: Šimkovic, F.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: In this paper, we reexamine one of the most promising candidates for determining the neutrino mass scale -- the unique first forbidden $β$ transition from $^{187}$Re($5/2^+$) to $^{187}$Os($1/2^-$). With the lowest-known ground-state to ground-state $Q$-value for a $β$ transition at $2.4709$ keV, rhenium's $β$ decay can offer insights into the neutrino mass scale puzzle. However, understanding its electron spectrum is a complex task. Besides involving a mixture of $s_{1/2}$-state and $p_{3/2}$-state electrons, the rhenium $β$ spectrum could be strongly influenced by various atomic corrections. In addition to our previous paper, we have incorporated finite nuclear size, diffuse nuclear surface, screening, and exchange corrections into the rhenium $β$ decay model. We have accounted for the last two effects within the framework of the Dirac-Hartree-Fock-Slater self-consistent method. We have discovered that both screening and exchange effects significantly alter the partial decay rates for the $s_{1/2}$- and $p_{3/2}$-state emission channels, while still maintaining the experimentally confirmed dominance of the $p_{3/2}$-state emission. The ratio between the respective decay rates has been found to be approximately $10^4$. When compared to the other corrections, the exchange effect stands out due to the modification it induces in the spectrum shape. We demonstrate that calculations with and without the exchange effect lead to entirely different shape factors for the decay spectrum. Finally, we illustrate that to preserve the linearity of the Kurie plot, it is essential to include the exchange correction in its definition. We conclude that atomic effects, especially the exchange effect, should be taken into account in current and future investigations of the neutrino mass scale from $β$ decays.
description: 13 pages, 8 figures
Supplemental_file_1 - Prevalence of Posttraumatic Stress Disorder among Children and Adolescents following Road Traffic Accidents: A Meta-Analysis
Creators: name: Wenjie Dai
name: Aizhong Liu
name: Atipatsa C. Kaminga
name: Deng, Jing
name: Zhiwei Lai
name: Wen, Shi Wu
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: FOS: Clinical medicine

description: Supplemental_file_1 for Prevalence of Posttraumatic Stress Disorder among Children and Adolescents following Road Traffic Accidents: A Meta-Analysis by Wenjie Dai, Aizhong Liu, Atipatsa C. Kaminga, Jing Deng, Zhiwei Lai, and Shi Wu Wen in The Canadian Journal of Psychiatry
Glocianus distinctus N C S Si
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Curculionidae
Glocianus
Glocianus distinctus

description: Glocianus distinctus (C. Brisout, 1870)
[= Curculio marginatus Paykull, 1792 not Fabricius, 1775] (Abbazzi et al. 1995).
description: Published as part of Colonnelli, Enzo, 2003, A revised checklist of Italian Curculionoidea (Coleoptera), pp. 1-142 in Zootaxa 337 (1) on page 14, DOI: 10.11646/zootaxa.337.1.1, http://zenodo.org/record/5019737
Additional file 1 of A case report involving the experience of pervasive pregnancy denial: detailed observation of the first 12 postpartum weeks
Creators: name: Chechko, Natalia
name: Losse, Elena
name: Stickel, Susanne
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Cell Biology
Biotechnology
Science Policy
Mental Health

description: Additional file 1: Table S1. Sociodemographic and clinical-anamnestic data of NN and four matched control subjects of the RiPoD study. Table S2. Socioeconomic characteristics of the entire study sample (n = 558).
TurboGenius: Python suite for high-throughput calculations of ab initio quantum Monte Carlo methods
Creators: name: Nakano, Kousuke
name: Kohulák, Oto
name: Raghav, Abhishek
name: Casula, Michele
name: Sorella, Sandro
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: TurboGenius is an open-source Python package designed to fully control ab initio quantum Monte Carlo (QMC) jobs using a Python script, which allows one to perform high-throughput calculations combined with TurboRVB [K. Nakano et al. J. Phys. Chem. 152, 204121 (2020)]. This paper provides an overview of the TurboGenius package and showcases several results obtained in a high-throughput mode. For the purpose of performing high-throughput calculations with TurboGenius, we implemented another open-source Python package, TurboWorkflows, that enables one to construct simple workflows using TurboGenius. We demonstrate its effectiveness by performing (1) validations of density functional theory (DFT) and QMC drivers as implemented in the TurboRVB package and (2) benchmarks of Diffusion Monte Carlo (DMC) calculations for several data sets. For (1), we checked inter-package consistencies between TurboRVB and other established quantum chemistry packages. By doing so, we confirmed that DFT energies obtained by PySCF are consistent with those obtained by TurboRVB within the local density approximation (LDA), and that Hartree-Fock (HF) energies obtained by PySCF and Quantum Package are consistent with variational Monte Carlo energies obtained by TurboRVB with the HF wavefunctions. These validation tests constitute a further reliability check of the TurboRVB package. For (2), we benchmarked atomization energies of the Gaussian-2 set, binding energies of the S22, A24, and SCAI sets, and equilibrium lattice parameters of 12 cubic crystals using DMC calculations. We found that, for all compounds analyzed here, the DMC calculations with the LDA nodal surface give satisfactory results, i.e., consistent either with high-level computational or with experimental reference values.
description: 44 pages
Supplemental_file_4 - Prevalence of Posttraumatic Stress Disorder among Children and Adolescents following Road Traffic Accidents: A Meta-Analysis
Creators: name: Wenjie Dai
name: Aizhong Liu
name: Atipatsa C. Kaminga
name: Deng, Jing
name: Zhiwei Lai
name: Wen, Shi Wu
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: FOS: Clinical medicine

description: Supplemental_file_4 for Prevalence of Posttraumatic Stress Disorder among Children and Adolescents following Road Traffic Accidents: A Meta-Analysis by Wenjie Dai, Aizhong Liu, Atipatsa C. Kaminga, Jing Deng, Zhiwei Lai, and Shi Wu Wen in The Canadian Journal of Psychiatry
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
Creators: name: Moradi, Parsa
name: Tahmasebi, Behrooz
name: Maddah-Ali, Mohammad Ali
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: Coded computing has emerged as a promising framework for tackling significant challenges in large-scale distributed computing, including the presence of slow, faulty, or compromised servers. In this approach, each worker node processes a combination of the data, rather than the raw data itself. The final result then is decoded from the collective outputs of the worker nodes. However, there is a significant gap between current coded computing approaches and the broader landscape of general distributed computing, particularly when it comes to machine learning workloads. To bridge this gap, we propose a novel foundation for coded computing, integrating the principles of learning theory, and developing a framework that seamlessly adapts with machine learning applications. In this framework, the objective is to find the encoder and decoder functions that minimize the loss function, defined as the mean squared error between the estimated and true values. Facilitating the search for the optimum decoding and functions, we show that the loss function can be upper-bounded by the summation of two terms: the generalization error of the decoding function and the training error of the encoding function. Focusing on the second-order Sobolev space, we then derive the optimal encoder and decoder. We show that in the proposed solution, the mean squared error of the estimation decays with the rate of $\mathcal{O}(S^3 N^{-3})$ and $\mathcal{O}(S^{\frac{8}{5}}N^{\frac{-3}{5}})$ in noiseless and noisy computation settings, respectively, where $N$ is the number of worker nodes with at most $S$ slow servers (stragglers). Finally, we evaluate the proposed scheme on inference tasks for various machine learning models and demonstrate that the proposed framework outperforms the state-of-the-art in terms of accuracy and rate of convergence.
description: 35 pages, 7 figures