cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Comparison of Traditional and Hybrid Time Series Models for Forecasting COVID-19 Cases
Creators: name: Prajapati, Samyak
name: Swaraj, Aman
name: Lalwani, Ronak
name: Narwal, Akhil
name: Verma, Karan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Social and Information Networks (cs.SI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Time series forecasting methods play critical role in estimating the spread of an epidemic. The coronavirus outbreak of December 2019 has already infected millions all over the world and continues to spread on. Just when the curve of the outbreak had started to flatten, many countries have again started to witness a rise in cases which is now being referred as the 2nd wave of the pandemic. A thorough analysis of time-series forecasting models is therefore required to equip state authorities and health officials with immediate strategies for future times. This aims of the study are three-fold: (a) To model the overall trend of the spread; (b) To generate a short-term forecast of 10 days in countries with the highest incidence of confirmed cases (USA, India and Brazil); (c) To quantitatively determine the algorithm that is best suited for precise modelling of the linear and non-linear features of the time series. The comparison of forecasting models for the total cumulative cases of each country is carried out by comparing the reported data and the predicted value, and then ranking the algorithms (Prophet, Holt-Winters, LSTM, ARIMA, and ARIMA-NARNN) based on their RMSE, MAE and MAPE values. The hybrid combination of ARIMA and NARNN (Nonlinear Auto-Regression Neural Network) gave the best result among the selected models with a reduced RMSE, which proved to be almost 35.3% better than one of the most prevalent method of time-series prediction (ARIMA). The results demonstrated the efficacy of the hybrid implementation of the ARIMA-NARNN model over other forecasting methods such as Prophet, Holt Winters, LSTM, and the ARIMA model in encapsulating the linear as well as non-linear patterns of the epidemical datasets.
Probing the Information-Probabilistic Description
Creators: name: Gogberashvili, Merab
name: Modrekiladze, Beka
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: The information conservation principle is probed for classically isolated systems, like the Hubble sphere and black holes, for which the rise of entanglement entropy across their horizons is expected. We accept the analogy of Landauer's principle that entanglement information should introduce some negative potential energy, which corresponds to the positive energy of measurements that destroy this quantum behavior. We estimated these dark-energy-like contributions and found that they can explain the dark energy of the Universe and also are able to resolve the observed superluminal motion and redshift controversies for black holes.
description: The version published by Int. J. Theor. Phys
Additional file 1 of Enable, empower, succeed: a bioinformatics workshop Harnessing open web-based tools for surveillance of bacterial antimicrobial resistance
Creators: name: Founou, Luria Leslie
name: Lawal, Opeyemi U.
name: Djiyou, Armando
name: Odih, Erkison Ewomazino
name: Amoako, Daniel Gyamfi
name: Fadanka, Stephane
name: Aworh, Mabel Kamweli
name: Lukhele, Sindiswa
name: Nikolic, Dusanka
name: Matimba, Alice
name: Founou, Raspail Carrel
Publisher: name: figshare
Year: 2025
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Supplementary Material 1
Towards 3D-Printed Inverse-Designed Metaoptics
Creators: name: Roques-Carmes, Charles
name: Lin, Zin
name: Christiansen, Rasmus E.
name: Salamin, Yannick
name: Kooi, Steven E.
name: Joannopoulos, John D.
name: Johnson, Steven G.
name: Soljačić, Marin
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optics (physics.optics)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Optical metasurfaces have been heralded as the platform to integrate multiple functionalities in a compact form-factor, potentially replacing bulky components. A central stepping stone towards realizing this promise is the demonstration of multifunctionality under several constraints (e.g. at multiple incident wavelengths and/or angles) in a single device -- an achievement being hampered by design limitations inherent to single-layer planar geometries. Here, we propose a general framework for the inverse design of volumetric 3D metaoptics via topology optimization, showing that even few-wavelength thick devices can achieve high-efficiency multifunctionality. We embody our framework in multiple closely-spaced patterned layers of a low-index polymer. We experimentally demonstrate our approach with an inverse-designed 3d-printed light concentrator working at five different non-paraxial angles of incidence. Our framework paves the way towards realizing multifunctional ultra-compact 3D nanophotonic devices.
description: 16 pages, 4 figures
Galois module structure of square power classes for biquadratic extensions
Creators: name: Chemotti, Frank
name: Minac, Jan
name: Schultz, Andrew
name: Swallow, John
Publisher: name: arXiv
Year: 2021
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 12F10, 16D70

description: For a Galois extension $K/F$ with $\text{char}(K)\neq 2$ and $\text{Gal}(K/F) \simeq \mathbb{Z}/2\mathbb{Z}\oplus\mathbb{Z}/2\mathbb{Z}$, we determine the $\mathbb{F}_2[\text{Gal}(K/F)]$-module structure of $K^\times/K^{\times 2}$. Although there are an infinite number of (pairwise non-isomorphic) indecomposable $\mathbb{F}_2[\mathbb{Z}/2\mathbb{Z}\oplus\mathbb{Z}/2\mathbb{Z}]$-modules, our decomposition includes at most $9$ indecomposable types. This paper marks the first time that the Galois module structure of power classes of a field has been fully determined when the modular representation theory allows for an infinite number of indecomposable types.
description: v1: 26 pages. v2: 23 pages. Theorem 1 includes an additional summand type; corresponding adjustments appear in section 3. Section 6 contains new results on realizability. Miscellaneous typos corrected
Screening of the Characteristics of Hate Crimes against Asian American and Comparison to African Americans in Bay Area
Creators: name: arXiv, Redacted by
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: COVID-19 has aided the spread of racism, as well as national insecurity, distrust of immigrants, and general xenophobia, both of which may be linked to the rise in anti-Asian hate crimes during the pandemic. Coronavirus Disease 2019(COVID19) is thought to have originated in late December 2019 in Wuhan, China, and quickly spread across the world during the spring months of 2020. Asian Americans recorded in increase in racially based hate crimes including physical abuse and intimidation as COVID-19 spread throughout the United States. This research study was conducted by high school students in the Bay Area to compare the intention and characteristics of hate crimes against Asian Americans to hate crimes against African Americans. According to studies of both victim-related and most offender-related variables, hate crimes against Asian Americans have been rapidly growing in the United States and vary from those against African Americans. This leads to an investigation into the racial disparity between Asian American offenders and those of other races. The nature and characteristics of hate crimes against Asian Americans are compared to those of hate crimes against African Americans in our research. According to studies of all victim-related factors, hate crimes against Asian Americans are similar to those against African Americans. Hate crimes against Asian Americans, on the other hand, vary greatly from hate crimes against African Americans in terms of the offender's ethnicity and all incident-related variables.
description: The article is already retracted and it no longer exists in the journal
Universality of Dicke superradiance in arrays of quantum emitters
Creators: name: Masson, Stuart J
name: Asenjo-Garcia, Ana
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Atomic Physics (physics.atom-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Dicke superradiance is an example of emergence of macroscopic quantum coherence via correlated dissipation. Starting from an initially incoherent state, a collection of excited atoms synchronizes as they decay, generating a macroscopic dipole moment and emitting a short and intense pulse of light. While well understood in cavities, superradiance remains an open problem in extended systems due to the exponential growth of complexity with atom number. Here we show that Dicke superradiance is a universal phenomenon in ordered arrays. We present a theoretical framework -- which circumvents the exponential complexity of the problem -- that allows us to predict the critical distance beyond which Dicke superradiance disappears. This critical distance is highly dependent on the dimensionality and atom number. Our predictions can be tested in state of the art experiments with arrays of neutral atoms, molecules, and solid-state emitters and pave the way towards understanding the role of many-body decay in quantum simulation, metrology, and lasing.
description: 7+9 pages, 4+4 figures. This version is in line with the published version
FIGARO Simulation: FIlaments & GAlactic RadiO Simulation
Creators: name: Hodgson, Torrance
name: Vazza, Franco
name: Johnston-Hollitt, Melanie
name: McKinley, Benjamin
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We produce the first low to mid frequency radio simulation that incorporates both traditional extragalactic radio sources as well as synchrotron cosmic web emission. The FIlaments \& GAlactic RadiO (FIGARO) simulation includes ten unique \SI{4x4}{\degree} fields, incorporating active galactic nucleii (AGNs), star forming galaxies (SFGs) and synchrotron cosmic web emission out to a redshift of $z = 0.8$ and over the frequency range 100-1400 MHz. To do this, the simulation brings together a recent $100^3$ Mpc$^3$ magneto-hydrodynamic simulation (Vazza et al., 2019), calibrated to match observed radio relic population statistics, alongside updated `T-RECS' code for simulating extragalactic radio sources (Bonaldi et al., 2019). Uniquely, the AGNs and SFGs are populated and positioned in accordance with the underlying matter density of the cosmological simulation. In this way, the simulation provides an accurate understanding of the apparent morphology, angular scales, and brightness of the cosmic web as well as -- crucially -- the clustering properties of the cosmic web with respect to the embedded extragalactic radio population. We find that the synchrotron cosmic web does not closely trace the underlying mass distribution of the cosmic web, but is instead dominated by shocked shells of emission surrounding dark matter halos and resembles a large, undetected population of radio relics. We also show that, with accurate kernels, the cosmic web radio emission is clearly detectable by cross-correlation techniques and this signal is separable from the embedded extragalactic radio population. We offer the simulation as a public resource towards the development of techniques for detecting and measuring the synchrotron cosmic web.
description: Submitted to Publications of the Astronomical Society of Australia
Predicting cognitive scores with graph neural networks through sample selection learning
Creators: name: Hanik, Martin
name: Demirtaş, Mehmet Arif
name: Gharsallaoui, Mohammed Amine
name: Rekik, Islem
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: Analyzing the relation between intelligence and neural activity is of the utmost importance in understanding the working principles of the human brain in health and disease. In existing literature, functional brain connectomes have been used successfully to predict cognitive measures such as intelligence quotient (IQ) scores in both healthy and disordered cohorts using machine learning models. However, existing methods resort to flattening the brain connectome (i.e., graph) through vectorization which overlooks its topological properties. To address this limitation and inspired from the emerging graph neural networks (GNNs), we design a novel regression GNN model (namely RegGNN) for predicting IQ scores from brain connectivity. On top of that, we introduce a novel, fully modular sample selection method to select the best samples to learn from for our target prediction task. However, since such deep learning architectures are computationally expensive to train, we further propose a \emph{learning-based sample selection} method that learns how to choose the training samples with the highest expected predictive power on unseen samples. For this, we capitalize on the fact that connectomes (i.e., their adjacency matrices) lie in the symmetric positive definite (SPD) matrix cone. Our results on full-scale and verbal IQ prediction outperforms comparison methods in autism spectrum disorder cohorts and achieves a competitive performance for neurotypical subjects using 3-fold cross-validation. Furthermore, we show that our sample selection approach generalizes to other learning-based methods, which shows its usefulness beyond our GNN architecture.
description: Corrected two typos (dimension of weight matrix and i -> i+1) in description of GNN architecture
755700 – Supplemental material for A Framework for Improvement: Analyzing Performance-Assessment Scores for Evidence-Based Teacher Preparation Program Reforms
Creators: name: Bastian, Kevin C.
name: Lys, Diana
name: Pan, Yi
Publisher: name: SAGE Journals
Year: 2018
Subjects: Education

description: Supplemental material, 755700 for A Framework for Improvement: Analyzing Performance-Assessment Scores for Evidence-Based Teacher Preparation Program Reforms by Kevin C. Bastian, Diana Lys and Yi Pan in Journal of Teacher Education
supplementary_table_2_(1) – Supplemental material for HDAC3-mediated silencing of miR-451 decreases chemosensitivity of patients with metastatic castration-resistant prostate cancer by targeting NEDD9
Creators: name: Chen, Dong-qin
name: Yu, Chen
name: Zhang, Xue-feng
name: Liu, Zhong-fang
name: Wang, Rui
name: Jiang, Min
name: Chen, Hao
name: Yan, Feng
name: Tao, Min
name: Chen, Long-bang
name: Zhu, Hong
name: Feng, Ji-feng
Publisher: name: SAGE Journals
Year: 2018
Subjects: Oncology and Carcinogenesis not elsewhere classified
Aged Health Care
Pharmacology and Pharmaceutical Sciences not elsewhere classified
Respiratory Diseases

description: Supplemental material, supplementary_table_2_(1) for HDAC3-mediated silencing of miR-451 decreases chemosensitivity of patients with metastatic castration-resistant prostate cancer by targeting NEDD9 by Dong-qin Chen, Chen Yu, Xue-feng Zhang, Zhong-fang Liu, Rui Wang, Min Jiang, Hao Chen, Feng Yan, Min Tao, Long-bang Chen, Hong Zhu and Ji-feng Feng in Therapeutic Advances in Medical Oncology
On the embedded associated primes of monomial ideals
Creators: name: Sayedsadeghi, Mirsadegh
name: Nasernejad, Mehrdad
name: Qureshi, Ayesha Asloob
Publisher: name: arXiv
Year: 2021
Subjects: subject: Commutative Algebra (math.AC)
subject: FOS: Mathematics

description: Let $I$ be a square-free monomial ideal in a polynomial ring $R=K[x_1,\ldots, x_n]$ over a field $K$, $\mathfrak{m}=(x_1, \ldots, x_n)$ be the graded maximal ideal of $R$, and $\{u_1, \ldots, u_{β_1(I)}\}$ be a maximal independent set of minimal generators of $I$ such that $\mathfrak{m}\setminus x_i \notin \mathrm{Ass}(R/(I\setminus x_i)^t)$ for all $x_i\mid \prod_{i=1}^{β_1(I)}u_i$ and some positive integer $t$, where $I\setminus x_i$ denotes the deletion of $I$ at $x_i$ and $β_1(I)$ denotes the maximum cardinality of an independent set in $I$. In this paper, we prove that if $\mathfrak{m}\in \mathrm{Ass}(R/I^t)$, then $t\geq β_1(I)+1$. As an application, we verify that under certain conditions, every unmixed König ideal is normally torsion-free, and so has the strong persistence property. In addition, we show that every square-free transversal polymatroidal ideal is normally torsion-free. Next, we state some results on the corner-elements of monomial ideals. In particular, we prove that if $I$ is a monomial ideal in a polynomial ring $R=K[x_1, \ldots, x_n]$ over a field $K$ and $z$ is an $I^t$-corner-element for some positive integer $t$ such that $\mathfrak{m}\setminus x_i \notin \mathrm{Ass}(I\setminus x_i)^t$ for some $1\leq i \leq n$, then $x_i$ divides $z$.
description: To appear in Rocky Mountain Journal of Mathematics
Additional file 2 of The psychedelic psilocybin and light exposure have similar and synergistic effects on gene expression patterns in the visual cortex
Creators: name: Harari, Ram
name: Getselter, Dmitriy
name: Elliott, Evan
Publisher: name: figshare
Year: 2025
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Supplementary Material 2
Singular solutions to $k$-Hessian equations with fast-growing nonlinearities
Creators: name: Ó, João Marcos do
name: Shamarova, Evelina
name: da Silva, Esteban
Publisher: name: arXiv
Year: 2021
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 34B15, 34C23, 35A24, 35J15, 35J62, 35J92

description: We study a class of elliptic problems, involving a $k$-Hessian and a very fast-growing nonlinearity, on a unit ball. We prove the existence of a radial singular solution and obtain its exact asymptotic behavior in a neighborhood of the origin. Furthermore, we study the multiplicity of regular solutions and bifurcation diagrams. An essential ingredient of this study is analyzing the number of intersection points between the singular and regular solutions for rescaled problems. In the particular case of the exponential nonlinearity, we obtain the convergence of regular solutions to the singular and analyze the intersection number depending on the parameter $k$ and the dimension $d$.
description: Version accepted in NA
Reading Race: AI Recognises Patient's Racial Identity In Medical Images
Creators: name: Banerjee, Imon
name: Bhimireddy, Ananth Reddy
name: Burns, John L.
name: Celi, Leo Anthony
name: Chen, Li-Ching
name: Correa, Ramon
name: Dullerud, Natalie
name: Ghassemi, Marzyeh
name: Huang, Shih-Cheng
name: Kuo, Po-Chih
name: Lungren, Matthew P
name: Palmer, Lyle
name: Price, Brandon J
name: Purkayastha, Saptarshi
name: Pyrros, Ayis
name: Oakden-Rayner, Luke
name: Okechukwu, Chima
name: Seyyed-Kalantari, Laleh
name: Trivedi, Hari
name: Wang, Ryan
name: Zaiman, Zachary
name: Zhang, Haoran
name: Gichoya, Judy W
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Computers and Society (cs.CY)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: I.2
subject: 68-XX

description: Background: In medical imaging, prior studies have demonstrated disparate AI performance by race, yet there is no known correlation for race on medical imaging that would be obvious to the human expert interpreting the images. Methods: Using private and public datasets we evaluate: A) performance quantification of deep learning models to detect race from medical images, including the ability of these models to generalize to external environments and across multiple imaging modalities, B) assessment of possible confounding anatomic and phenotype population features, such as disease distribution and body habitus as predictors of race, and C) investigation into the underlying mechanism by which AI models can recognize race. Findings: Standard deep learning models can be trained to predict race from medical images with high performance across multiple imaging modalities. Our findings hold under external validation conditions, as well as when models are optimized to perform clinically motivated tasks. We demonstrate this detection is not due to trivial proxies or imaging-related surrogate covariates for race, such as underlying disease distribution. Finally, we show that performance persists over all anatomical regions and frequency spectrum of the images suggesting that mitigation efforts will be challenging and demand further study. Interpretation: We emphasize that model ability to predict self-reported race is itself not the issue of importance. However, our findings that AI can trivially predict self-reported race -- even from corrupted, cropped, and noised medical images -- in a setting where clinical experts cannot, creates an enormous risk for all model deployments in medical imaging: if an AI model secretly used its knowledge of self-reported race to misclassify all Black patients, radiologists would not be able to tell using the same data the model has access to.
Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks
Creators: name: Barati, Ramin
name: Safabakhsh, Reza
name: Rahmati, Mohammad
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences
subject: I.5.1

description: In this paper, we study the adversarial examples existence and adversarial training from the standpoint of convergence and provide evidence that pointwise convergence in ANNs can explain these observations. The main contribution of our proposal is that it relates the objective of the evasion attacks and adversarial training with concepts already defined in learning theory. Also, we extend and unify some of the other proposals in the literature and provide alternative explanations on the observations made in those proposals. Through different experiments, we demonstrate that the framework is valuable in the study of the phenomenon and is applicable to real-world problems.
description: submitted to 25th International Conference on Pattern Recognition (ICPR)
Implementing a new recovery scheme for primitive variables in the general relativistic magnetohydrodynamic code Spritz
Creators: name: Kalinani, Jay V.
name: Ciolfi, Riccardo
name: Kastaun, Wolfgang
name: Giacomazzo, Bruno
name: Cipolletta, Federico
name: Ennoggi, Lorenzo
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: General relativistic magnetohydrodynamic (GRMHD) simulations represent a fundamental tool to probe various underlying mechanisms at play during binary neutron star (BNS) and neutron star (NS) - black hole (BH) mergers. Contemporary flux-conservative GRMHD codes numerically evolve a set of conservative equations based on `conserved' variables which then need to be converted back into the fundamental (`primitive') variables. The corresponding conservative-to-primitive variable recovery procedure, based on root-finding algorithms, constitutes one of the core elements of such GRMHD codes. Recently, a new robust, accurate and efficient recovery scheme called RePrimAnd was introduced, which has demonstrated the ability to always converge to a unique solution. The scheme provides fine-grained error policies to handle invalid states caused by evolution errors, and also provides analytical bounds for the error of all primitive variables. In this work, we describe the technical aspects of implementing the RePrimAnd scheme into the GRMHD code Spritz. To check our implementation as well as to assess the various features of the scheme, we perform a number of GRMHD tests in three dimensions. Our tests, which include critical cases such as a NS collapse to a BH as well as the early evolution (~50 ms) of a Fishbone-Moncrief BH-accrection disk system, show that RePrimAnd is able to support magnetized, low density environments with magnetic-to-fluid pressure ratios as high as 10^4, in situations where the previously used recovery scheme fails.
description: 18 pages, 15 figures, matching accepted version
Measurement of the $^{18}$Ne($α,p$)$^{21}$Na reaction with ANASEN at $E_{c.m.} = $ 2.5-4 MeV
Creators: name: Anastasiou, M.
name: Wiedenhöver, I.
name: Blackmon, J. C.
name: Baby, L. T.
name: Caussyn, D. D.
name: Hood, A. A.
name: Koshchiy, E.
name: Lighthall, J. C.
name: Macon, K. T.
name: Parker, J. J.
name: Rauscher, T.
name: Rijal, N.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: The $^{18}$Ne($α,p$)$^{21}$Na reaction plays a significant role in Type-I X-ray bursts. It is a major path in the breakout from the hot-CNO cycles to the synthesis of heavier elements in the $αp$-- and $rp$-processes. An experiment to determine the cross section of this reaction was performed with the ANASEN active-target detector system, determining the cross section at energies between 2.5 and 4 MeV in the center-of-mass frame. The measured cross sections for reactions populating the ground state in $^{21}$Na are consistent with results obtained from the time-inverse reaction, but significantly lower than the previously published experimental data of direct measurements. The total cross sections are also compared with those derived from indirect methods and statistical-model calculations. This experiment establishes a new experimental data set on the excitation function of the $^{18}$Ne($α,p$)$^{21}$Na reaction, revealing the significance of the excited states' contributions to the total reaction cross section and allowing to separate the contribution of the $(α,2p)$ reaction. The impact of the measured cross section on thermal reaction rates is discussed.
Additional file 5 of The psychedelic psilocybin and light exposure have similar and synergistic effects on gene expression patterns in the visual cortex
Creators: name: Harari, Ram
name: Getselter, Dmitriy
name: Elliott, Evan
Publisher: name: figshare
Year: 2025
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Supplementary Material 2
Symmetry of Cosmological Observables, and a High Hubble Constant as an Indicator of a Mirror World Dark Sector
Creators: name: Cyr-Racine, Francis-Yan
name: Ge, Fei
name: Knox, Lloyd
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We find that a uniform scaling of the gravitational free-fall rates and photon-electron scattering rate leaves most dimensionless cosmological observables nearly invariant. This result opens up a new approach to reconciling cosmic microwave background and large-scale structure observations with high values of the Hubble constant $H_0$: Find a cosmological model in which the scaling transformation can be realized without violating any measurements of quantities not protected by the symmetry. A "mirror world" dark sector allows for effective scaling of the gravitational free-fall rates while respecting the measured mean photon density today. Further model building might bring consistency with the two constraints not yet satisfied: the inferred primordial abundances of deuterium and helium.
description: 5 pages + references, 2 figures; Published in PRL
DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways
Creators: name: Katariya, Vinit
name: Baharani, Mohammadreza
name: Morris, Nichole
name: Shoghli, Omidreza
name: Tabkhi, Hamed
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Vehicle trajectory prediction is essential for enabling safety-critical intelligent transportation systems (ITS) applications used in management and operations. While there have been some promising advances in the field, there is a need for modern deep learning algorithms that allow real-time trajectory prediction on embedded IoT devices. This article presents DeepTrack, a novel deep learning algorithm customized for real-time vehicle trajectory prediction and monitoring applications in arterial management, freeway management, traffic incident management, and work zone management for high-speed incoming traffic. In contrast to previous methods, the vehicle dynamics are encoded using Temporal Convolutional Networks (TCNs) to provide more robust time prediction with less computation. DeepTrack also uses depthwise convolution, which reduces the complexity of models compared to existing approaches in terms of model size and operations. Overall, our experimental results demonstrate that DeepTrack achieves comparable accuracy to state-of-the-art trajectory prediction models but with smaller model sizes and lower computational complexity, making it more suitable for real-world deployment.
description: Published in IEEE Transactions on Intelligent Transportation Systems
supplementary_table_4_(2) – Supplemental material for HDAC3-mediated silencing of miR-451 decreases chemosensitivity of patients with metastatic castration-resistant prostate cancer by targeting NEDD9
Creators: name: Chen, Dong-qin
name: Yu, Chen
name: Zhang, Xue-feng
name: Liu, Zhong-fang
name: Wang, Rui
name: Jiang, Min
name: Chen, Hao
name: Yan, Feng
name: Tao, Min
name: Chen, Long-bang
name: Zhu, Hong
name: Feng, Ji-feng
Publisher: name: SAGE Journals
Year: 2018
Subjects: Oncology and Carcinogenesis not elsewhere classified
Aged Health Care
Pharmacology and Pharmaceutical Sciences not elsewhere classified
Respiratory Diseases

description: Supplemental material, supplementary_table_4_(2) for HDAC3-mediated silencing of miR-451 decreases chemosensitivity of patients with metastatic castration-resistant prostate cancer by targeting NEDD9 by Dong-qin Chen, Chen Yu, Xue-feng Zhang, Zhong-fang Liu, Rui Wang, Min Jiang, Hao Chen, Feng Yan, Min Tao, Long-bang Chen, Hong Zhu and Ji-feng Feng in Therapeutic Advances in Medical Oncology
Construction and application of provable positive and exact cubature formulas
Creators: name: Glaubitz, Jan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: Optimization and Control (math.OC)
subject: FOS: Mathematics
subject: 65D30, 65D32, 41A55, 41A63, 42C05

description: Many applications require multi-dimensional numerical integration, often in the form of a cubature formula. These cubature formulas are desired to be positive and exact for certain finite-dimensional function spaces (and weight functions). Although there are several efficient procedures to construct positive and exact cubature formulas for many standard cases, it remains a challenge to do so in a more general setting. Here, we show how the method of least squares can be used to derive provable positive and exact formulas in a general multi-dimensional setting. Thereby, the procedure only makes use of basic linear algebra operations, such as solving a least squares problem. In particular, it is proved that the resulting least squares cubature formulas are ensured to be positive and exact if a sufficiently large number of equidistributed data points is used. We also discuss the application of provable positive and exact least squares cubature formulas to construct nested stable high-order rules and positive interpolatory formulas. Finally, our findings shed new light on some existing methods for multivariate numerical integration and under which restrictions these are ensured to be successful.
description: 33 pages
Additional file 1 of Reunderstanding the classical prescription Banxia Xiexin Decoction: new perspectives from a comprehensive review of clinical research and pharmacological studies
Creators: name: Liu, Chang
name: Gao, Pengwei
name: Liu, Xiaoying
name: Kuang, Min
name: Xu, Haoran
name: Wu, Yangming
name: Liu, Wenjun
name: Wang, Shengpeng
Publisher: name: figshare
Year: 2025
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Hematology

description: Supplementary Material 1
Supplementary document for Flexible stitching interferometry for gull-wing asphere using variable-sign curvature compensation - 6515114.pdf
Creators: name: yi, zong
name: Yu, Cai
name: liu, yixuan
name: Zhong, yongshen
name: Duan, Mingliang
name: Li, Jianxin
Publisher: name: Optica Publishing Group
Year: 2025
Subjects: Uncategorized

description: Supplementary Document
Supplementary_Material - Healthy Start Home Visiting Program—School-Based Model: Cluster Randomized Controlled Trial
Creators: name: Leung, Cynthia
name: Tsang, Sandra
name: Heung, Kitty
name: Tam, Mia
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 160512 Social Policy
subject: FOS: Political science

description: Supplementary_Material for Healthy Start Home Visiting Program—School-Based Model: Cluster Randomized Controlled Trial by Cynthia Leung, Sandra Tsang, Kitty Heung, and Mia Tam in Research on Social Work Practice
Endpoint $L^1$ estimates for Hodge systems
Creators: name: Hernandez, Felipe
name: Raita, Bogdan
name: Spector, Daniel
Publisher: name: arXiv
Year: 2021
Subjects: subject: Analysis of PDEs (math.AP)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics

description: In this paper we give a simple proof of the endpoint Besov-Lorentz estimate $$ \|I_αF\|_{\dot{B}^{0,1}_{d/(d-α),1}(\mathbb{R}^d;\mathbb{R}^k)} \leq C \|F \|_{L^1(\mathbb{R}^d;\mathbb{R}^k)} $$ for all $F \in L^1(\mathbb{R}^d;\mathbb{R}^k)$ which satisfy a first order cocancelling differential constraint. We show how this implies endpoint Besov-Lorentz estimates for Hodge systems with $L^1$ data via fractional integration for exterior derivatives.
description: 16 pages
Supplementary_1 – Supplemental material for Effects of Information Technology–Based Two-Way Referral on Diagnosis and Management of Cervical Lesions: A Cluster-Controlled Trial in China
Creators: name: Jin, Long-Mei
name: Xu, Ling
name: Xu, Jun
name: Zhang, Xiao-Hua
name: Zhang, Lin-Lin
name: Zhu, Li-Hong
name: Yang, Hui-Bin
name: Zhang, Lei
name: Yao, Yan
name: Feng, Hua
Publisher: name: SAGE Journals
Year: 2018
Subjects: Public Health and Health Services not elsewhere classified

description: Supplemental material, Supplementary_1 for Effects of Information Technology–Based Two-Way Referral on Diagnosis and Management of Cervical Lesions: A Cluster-Controlled Trial in China by Long-Mei Jin, Ling Xu, Jun Xu, Xiao-Hua Zhang, Lin-Lin Zhang, Li-Hong Zhu, Hui-Bin Yang, Lei Zhang, Yan Yao and Hua Feng in Asia Pacific Journal of Public Health
Combinatorial Perspectives on the Crank and Mex Partition Statistics
Creators: name: Hopkins, Brian
name: Sellers, James A.
name: Yee, Ae Ja
Publisher: name: arXiv
Year: 2021
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 11P81, 05A17

description: Several authors have recently considered the smallest positive part missing from an integer partition, known as the minimum excludant or mex. In this work, we revisit and extend connections between Dyson's crank statistics, the mex, and Frobenius symbols, with a focus on combinatorial proof techniques. One highlight is a generating function expression for the number of partitions with a bounded crank that does not include an alternating sum. This leads to a combinatorial interpretation involving types of Durfee rectangles.
description: 15 pages, 2 figures, 1 table
Additional file 1 of Did the pandemic change lifestyle behaviours in Italy? An interrupted time series analysis on the four main NCDs behavioural risk factors from 2008 to 2023
Creators: name: Asta, Federica
name: Minardi, Valentina
name: Contoli, Benedetta
name: Possenti, Valentina
name: Casigliani, Virginia
name: Masocco, Maria
Publisher: name: figshare
Year: 2025
Subjects: subject: Medicine
subject: Immunology
subject: FOS: Clinical medicine
subject: Information Systems not elsewhere classified
subject: Mental Health

description: Supplementary Material 1
Spectral Properties of Symmetric Quantum States and Symmetric Entanglement Witnesses
Creators: name: Champagne, Gabriel
name: Johnston, Nathaniel
name: MacDonald, Mitchell
name: Pipes, Logan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences
subject: 81P40 (Primary) 65F18, 15A29 (Secondary)

description: We introduce and explore two questions concerning spectra of operators that are of interest in the theory of entanglement in symmetric (i.e., bosonic) quantum systems. First, we investigate the inverse eigenvalue problem for symmetric entanglement witnesses -- that is, we investigate what their possible spectra are. Second, we investigate the problem of characterizing which separable symmetric quantum states remain separable after conjugation by an arbitrary unitary acting on symmetric space -- that is, which states are separable in every orthonormal symmetric basis. Both of these questions have been investigated thoroughly in the non-symmetric setting, and we contrast the answers that we find with their non-symmetric counterparts.
description: 23 pages, 2 figures
Cultural identity and management control: An ethnography in a multicultural organisation
Creators: name: WU, XIAONING
Publisher: name: Monash University
Year: 2024
Subjects: classificationCode: 350105
subject: Management accounting

description: The broad topic of this thesis is how culture shapes management control. The researcher conducted a four-month ethnography study in a multicultural organisation, focusing on how organisational members culturally identify themselves, and how this cultural identification shapes the design of, and employees’ reactions to, the management practices. The findings show that in multicultural organisations, culture influences management practices not only through organisational members’ own cultural affiliation but also through how they perceive other’s cultural affiliation. The thesis shows that the impact of culture on management controls is not static and uniform, which challenges the assumptions of prior research and thus provides practical insights to multicultural organisations.
"Look! It's a Computer Program! It's an Algorithm! It's AI!": Does Terminology Affect Human Perceptions and Evaluations of Algorithmic Decision-Making Systems?
Creators: name: Langer, Markus
name: Hunsicker, Tim
name: Feldkamp, Tina
name: König, Cornelius J.
name: Grgić-Hlača, Nina
Publisher: name: arXiv
Year: 2021
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: In the media, in policy-making, but also in research articles, algorithmic decision-making (ADM) systems are referred to as algorithms, artificial intelligence, and computer programs, amongst other terms. We hypothesize that such terminological differences can affect people's perceptions of properties of ADM systems, people's evaluations of systems in application contexts, and the replicability of research as findings may be influenced by terminological differences. In two studies (N = 397, N = 622), we show that terminology does indeed affect laypeople's perceptions of system properties (e.g., perceived complexity) and evaluations of systems (e.g., trust). Our findings highlight the need to be mindful when choosing terms to describe ADM systems, because terminology can have unintended consequences, and may impact the robustness and replicability of HCI research. Additionally, our findings indicate that terminology can be used strategically (e.g., in communication about ADM systems) to influence people's perceptions and evaluations of these systems.
description: Preregistrations for the studies included in this paper are available under https://aspredicted.org/LDC\_GSM and https://aspredicted.org/NTE\_WND
Valence quark ratio in the proton
Creators: name: Cui, Zhu-Fang
name: Gao, Fei
name: Binosi, Daniele
name: Chang, Lei
name: Roberts, Craig D.
name: Schmidt, Sebastian M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: High Energy Physics - Lattice (hep-lat)
subject: Nuclear Experiment (nucl-ex)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Beginning with precise data on the ratio of structure functions in deep inelastic scattering (DIS) from $^3$He and $^3$H, collected on the domain $0.19 \leq x_B \leq 0.83$, where $x_B$ is the Bjorken scaling variable, we employ a robust method for extrapolating such data to arrive at a model-independent result for the $x_B=1$ value of the ratio of neutron and proton structure functions. Combining this with information obtained in analyses of DIS from nuclei, corrected for target-structure dependence, we arrive at a prediction for the proton's valence-quark ratio: $\left. d_v/u_v \right|_{x_B\to 1} = 0.230 (57)$. Requiring consistency with this result presents a challenge to many descriptions of proton structure.
description: 6 pages, 3 figures
Additional file 1 of Fly bioash-borne polycyclic aromatic hydrocarbon removal by rapid-growth remediation systems of poplar, industrial hemp and parsley
Creators: name: Košnář, Zdeněk
name: Tlustoš, Pavel
Publisher: name: figshare
Year: 2025
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Plant Biology

description: Additional file 1
Fatty acids, minerals, phenolics and vitamins in the seeds of Inocarpus fagifer, a Pacific Island underutilized legume
Creators: name: Huml, Lukas
name: Miksatkova, Petra
name: Novy, Pavel
name: Drabek, Ondrej
name: Sabolova, Monika
name: Umar, Mohammed
name: Tejnecky, Vaclav
name: Pohorela, Barbora
name: Kourimska, Lenka
name: Maskova, Eva
name: Tulin, Anabella
name: Lapcik, Oldrich
name: Kokoska, Ladislav
Publisher: name: Journal of Applied Botany and Food Quality
Year: 2016
Subjects: Inocarpus fagifer; underutilized crop; B vitamins; fatty acids; minerals; phenolic compounds

description: Recently, Pacific nations have faced to alarming increase in prevalence of noncommunicable diseases connected with consumption of non-traditional processed food. It is believed that re-introduction of native diet may mitigate these negative trends. One of the traditional staple food of Pacific region are seeds of underutilized leguminous tree Inocarpus fagifer. Nevertheless, information on their chemical composition and nutritional properties are missing. Therefore we decided to analyze this crop for the presence of fatty acids, minerals, phenolics and vitamins. Performed analyses revealed a slightly predominating portion of unsaturated (e.g. 18:2 n-6; 18:1 n-9 and 18:3α n-3) over saturated (e.g. C18 and C16) fatty acids. Considering minerals, the substantial concentrations of copper, magnesium, manganese, potassium and zinc (19.32; 1823.21; 8.44; 23308.41 and 77.99 mg kg-1 of dry matter respectively) were recorded. Ferulic and coumaric acids were the most abundant phenolics (3.23 and 1.48 mg kg-1 of dry matter respectively), whereas flavonoids, isoflavonoids and coumestrol were also present. Regarding vitamins, niacin and riboflavin were found in respective concentrations 131.80 and 4.47 mg kg-1 of dry matter. Our findings suggest I. fagifer seeds as a prospective food source of several health-beneficial constituents which might contribute to the well-being of Pacific islanders.

The online version of this article (doi: 10.5073/JABFQ.2016.089.034) contains a supplementary file.
description: Journal of Applied Botany and Food Quality, Vol 89 (2016): Journal of Applied Botany and Food Quality
From Cooper pair splitting to the non-local spectroscopy of a Shiba state
Creators: name: Scherübl, Zoltán
name: Fülöp, Gergő
name: Gramich, Jörg
name: Pályi, András
name: Schönenberger, Christian
name: Nygård, Jesper
name: Csonka, Szabolcs
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Cooper pair splitting (CPS) is a way to create spatially separated, entangled electron pairs. To this day, CPS is often identified in experiments as a spatial current correlation. However, such correlations can arise even in the absence of CPS, when a quantum dot is strongly coupled to the superconductor, and a subgap Shiba state is formed. Here, we present a detailed experimental characterization of those spatial current correlations, as the tunnel barrier strength between the quantum dot and the neighboring normal electrode is tuned. The correlation of the non-local signal and the barrier strength reveals a competition between CPS and the non-local probing of the Shiba state. We describe our experiment with a simple transport model, and obtain the tunnel couplings of our device by fitting the model's prediction to the measured conductance correlation curve. Furthermore, we use our theory to extract the contribution of CPS to the non-local signal.
description: 12 pages, 3 figures
Additional file 1 of Circuit training intervention for cognitive function, gut microbiota, and aging control: study protocol for a longitudinal, open-label randomized controlled trial
Creators: name: Soga, Keishi
name: Takahashi, Michio
name: Uno, Akari
name: Sinada, Takamitsu
name: Oba, Kentaro
name: Kawashima, Keisei
name: Tatewaki, Yasuko
name: Nakase, Taizen
name: Taki, Yasuyuki
Publisher: name: figshare
Year: 2025
Subjects: subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Mental Health

description: Supplementary Material 1.
Smooth components on special iterated Hilbert schemes
Creators: name: Reede, Fabian
Publisher: name: arXiv
Year: 2021
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: Primary: 14C05, Secondary: 14F08, 14J28, 14J29

description: Let $S$ be a smooth projective surface with $p_g=q=0$. We show how to use derived categorical methods to study the geometry of certain special iterated Hilbert schemes associated to $S$ by showing that they contain a smooth connected component isomorphic to $S$.
description: 5 pages. Comments welcome. Final version: new title and relation to Murphy's law removed. Minor improvements incorporated according to referee's suggestions