cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Policy Optimization Using Semiparametric Models for Dynamic Pricing
Creators: name: Fan, Jianqing
name: Guo, Yongyi
name: Yu, Mengxin
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Cell Biology
subject: Neuroscience
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Marine Biology
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: In this article, we study the contextual dynamic pricing problem where the market value of a product is linear in its observed features plus some market noise. Products are sold one at a time, and only a binary response indicating success or failure of a sale is observed. Our model setting is similar to the work by? except that we expand the demand curve to a semiparametric model and learn dynamically both parametric and nonparametric components. We propose a dynamic statistical learning and decision making policy that minimizes regret (maximizes revenue) by combining semiparametric estimation for a generalized linear model with unknown link and online decision making. Under mild conditions, for a market noise cdf F(·) with mth order derivative ( m≥2), our policy achieves a regret upper bound of O˜d(T2m+14m−1), where T is the time horizon and O˜d is the order hiding logarithmic terms and the feature dimension d. The upper bound is further reduced to O˜d(T) if F is super smooth. These upper bounds are close to Ω(T), the lower bound where F belongs to a parametric class. We further generalize these results to the case with dynamic dependent product features under the strong mixing condition. Supplementary materials for this article are available online.
The molecular mechanisms and therapeutic potential of EZH2 in breast cancer
Creators: name: Adibfar, Sara
name: Elveny, Marischa
name: Kashikova, Hadisha Sh.
name: Mikhailova, Maria Vladimirovna
name: Farhangnia, Pooya
name: Vakili-Samiani, Sajjad
name: Jadidi-Niaragh, Farhad
Publisher: name: figshare
Year: 2022
Subjects: subject: Cancer
subject: 111201 Cancer Cell Biology
subject: FOS: Clinical medicine
subject: 111299 Oncology and Carcinogenesis not elsewhere classified

description: Due to its high occurrence and mortality rate, breast cancer has been studied from various aspects as one of thecancer field's hot topics in the last decade. Epigenetic alterations are spoused to be highly effective in breastcancer development. Enhancer of zeste homolog 2 (EZH2) is an enzymatic epi-protein that takes part in mostvital cell functions by its different action modes. EZH2 is suggested to be dysregulated in specific breast cancertypes, particularly in advanced stages. Mounting evidence revealed that EZH2 overexpression or dysfunctionaffects the pathophysiology of breast cancer. In this review, we discuss biological aspects of the EZH2 moleculewith a focus on its newly identified action mechanisms. We also highlight how EZH2 plays an essential role inbreast cancer initiation, progression, metastasis, and invasion, which emerged as a worthy target for treatingbreast cancer in different approaches.
Collective infectivity of the pandemic over time and association with vaccine coverage and economic development
Creators: name: James, Nick
name: Menzies, Max
Publisher: name: arXiv
Year: 2022
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Populations and Evolution (q-bio.PE)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: This paper uses new and existing methods to study collective trends across countries throughout the pandemic, with a focus on the multivariate time series of reproduction numbers and vaccine proliferation. We begin with a time-varying analysis of the collective nature of infectivity, where we evaluate the eigenspectrum and collective magnitude of reproduction number time series on a country-by-country basis. Next, we study the topology of this eigenspectrum, measuring the deviation between all points in time, and introduce a graph-theoretic methodology to reveal a clear partition in global infectivity dynamics. Then, we compare countries' vaccine rollouts with economic indicators such as their GDP and HDI in a collective fashion. We investigate time-varying consistency and determine points in time where there is the greatest discrepancy between these indicators as a whole. Our two primary findings are a considerable increase in collective infectivity in the latter half of the period, and a concave-up (``down then up'') pattern in the collective consistency between vaccine coverage and economic/development indicators across countries.
description: Accepted manuscript. Moderate edits since v1. Equal contribution
Additional file 1 of Cell-specific toxicity of short-term JUUL aerosol exposure to human bronchial epithelial cells and murine macrophages exposed at the air–liquid interface
Creators: name: Rakeysha Pinkston
name: Zaman, Hasan
name: Ekhtear Hossain
name: Penn, Arthur L.
name: Noël, Alexandra
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 1: Table S1. Primer set sequences used in this study. Figure S1. JUUL crème brûlée-flavored aerosol increases extracellular ROS production in H292 cells (trial #2). Figure S2. JUUL crème brûlée-flavored aerosol increases extracellular ROS production in H292 cells (trial #3). Figure S3. Short-term ALI JUUL aerosol exposure alters extracellular ROS and NO production in RAW 246.7 macrophages (trial #2). Figure S4. Short-term ALI JUUL aerosol exposure alters extracellular ROS and NO production in RAW 246.7 macrophages (trial #3).
Donne abbandonate sul fondale della Calunnia di Botticelli
Creators: name: Mosè, Viero
Publisher: name: La Rivista di Engramma
Year: 2005
Subjects: Botticelli
Calumny of Apelles
lying famale

description: The focus of this contribution is on the figures of lying female represented on three reliefs that decorate the walls of the loggia, in which is set Botticelli’Calumny of Apelle.
Robust millisecond coherence times of erbium electron spins
Creators: name: Gupta, Shobhit
name: Wu, Xuntao
name: Zhang, Haitao
name: Yang, Jun
name: Zhong, Tian
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Erbium-doped solids are prime candidates for optical quantum communication networks due to erbium's telecom C-band emission. A long-lived electron spin of erbium with millisecond coherence time is highly desirable for establishing entanglement between adjacent quantum repeater nodes while long-term storage of the entanglement could rely on transferring to erbium's second-long coherence nuclear spins. Here we report GHz-range electron spin transitions of $^{167}\mathrm{Er}^{3+}$ in yttrium oxide ($\mathrm{Y_2O_3}$) matrix with coherence times that are consistently longer than a millisecond. Instead of addressing field-specific Zero First-Order Zeeman transitions, we probe weakly mixed electron spins with the field orientation along the lower g-factors. Using pulsed electron spin resonance spectroscopy, we find paramagnetic impurities are the dominant source of decoherence, and by polarizing them we achieve a Hahn echo spin $\mathrm{T_2}$ up to 1.46 ms, and a coherence time up to 7.1 ms after dynamical decoupling. These coherence lifetimes are among the longest found in crystalline hosts especially those with nuclear spins. We further enhance the coherence time beyond conventional dynamical decoupling, using customized sequences to simultaneously mitigate spectral diffusion and Er-Er dipolar interactions. Despite nuclear and impurity spins in the host, this work shows that long-lived erbium spins comparable to non-nuclear spin hosts can be achieved. Our study not only establishes $^{167}\mathrm{Er}^{3+}$: $\mathrm{Y_2 O_3}$ as a significantly promising quantum memory platform but also provides a general guideline for engineering long-lived erbium spins in a variety of host materials for quantum technologies.
description: 10 pages, 4 figures
Learning to Read Analog Gauges from Synthetic Data
Creators: name: Leon-Alcazar, Juan
name: Alnumay, Yazeed
name: Zheng, Cheng
name: Trigui, Hassane
name: Patel, Sahejad
name: Ghanem, Bernard
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Manually reading and logging gauge data is time inefficient, and the effort increases according to the number of gauges available. We present a computer vision pipeline that automates the reading of analog gauges. We propose a two-stage CNN pipeline that identifies the key structural components of an analog gauge and outputs an angular reading. To facilitate the training of our approach, a synthetic dataset is generated thus obtaining a set of realistic analog gauges with their corresponding annotation. To validate our proposal, an additional real-world dataset was collected with 4.813 manually curated images. When compared against state-of-the-art methodologies, our method shows a significant improvement of 4.55 in the average error, which is a 52% relative improvement. The resources for this project will be made available at: https://github.com/fuankarion/automatic-gauge-reading.
Yang-Mills as a Constrained Gaussian
Creators: name: Tlas, Tamer
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mathematical Physics (math-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences
subject: 81T13 (Primary) 81Q70, 58E15 (Secondary)

description: Yang-Mills is reformulated in terms of the logarithmic derivative of the holonomies. The classical equations of motion are recovered, and the path integral is rewritten in two ways, both of which are of the form of a Gaussian satisfying a quadratic constraint.
description: 15 pages, a few typos fixed with no change in the results
Additional file 1 of Selection and application of trophic magnification factors for priority substances to normalize freshwater fish monitoring data under the European Water Framework Directive: a case study
Creators: name: Rüdel, Heinz
name: Kosfeld, Verena
name: Fliedner, Annette
name: Radermacher, Georg
name: Schlechtriem, Christian
name: Duffek, Anja
name: Rauert, Caren
name: Koschorreck, Jan
Publisher: name: figshare
Year: 2020
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Cancer
subject: Inorganic Chemistry
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1. Supporting information on evaluations and detailed data tables: List of compounds covered in the substance groups to which the WFD EQS refers; Additional information to Table 3; Additional Tables S1—S9; References for the Additional file.
title: Air-Coupled Ultrasonic Spiral Phased Array for High-Precision Beamforming and Imaging
Creators: name: Allevato, Gianni
name: Rutsch, Matthias
name: Hinrichs, Jan
name: Haugwitz, Christoph
name: Müller, Raphael
name: Pesavento, Marius
name: Kupnik, Mario
Publisher: name: IEEE
Year: 2024

description: Sparse spiral phased arrays are advantageous for many emerging air-coupled ultrasonic applications, since grating lobes are prevented without being constrained to the half-wavelength element spacing requirement of well-known dense arrays. As a result, the limitation on the maximum transducer diameter is omitted and the aperture can be enlarged for improving the beamforming precision without requiring the number of transducers to be increased. We demonstrate that in-air imaging, in particular, benefits from these features, enabling large-volume, unambiguous and high-resolution image formation. Therefore, we created an air-coupled ultrasonic phased array based on the Fermat spiral, capable of transmit, receive and pulse-echo operation, as well as 3D imaging. The array consists of 64 piezoelectric 40-kHz transducers (Murata MA40S4S), spanning an aperture of 200mm. First, we provide an application-independent numerical and experimental characterization of the conventional beamforming performance of all operation modes for varying focal directions and distances. Second, we examine the resulting imaging capabilities using the single line transmission technique. Apart from the high maximum sound pressure level of 152 dB, we validate that unambiguous high-accuracy 3D imaging is possible in a wide field of view (±80°), long range (20cm to 5m+) and with a high angular resolution of up to 2.3°. Additionally, we demonstrate that object shapes and patterns of multiple reflectors are recognizable in the images generated using a simple threshold for separation. In total, the imaging capabilities achieved are promising to open up further possibilities, e.g. robust object classification in harsh environments based on ultrasonic images.
Scrutinizing the eta-eta' mixing, masses and pseudoscalar decay constants in the framework of U(3) chiral effective field theory
Creators: name: Guo, Xu-Kun
name: Guo, Zhi-Hui
name: Oller, Jose Antonio
name: Sanz-Cillero, Juan Jose
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: High Energy Physics - Lattice (hep-lat)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We study the $η$-$η'$ mixing up to next-to-next-to-leading-order in $U(3)$ chiral perturbation theory in the light of recent lattice simulations and phenomenological inputs. A general treatment for the $η$-$η'$ mixing at higher orders, with the higher-derivative, kinematic and mass mixing terms, is addressed. The connections between the four mixing parameters in the two-mixing-angle scheme and the low energy constants in the $U(3)$ chiral effective theory are provided both for the singlet-octet and the quark-flavor bases. The axial-vector decay constants of pion and kaon are studied in the same order and confronted with the lattice simulation data as well. The quark-mass dependences of $m_η$, $m_{η'}$ and $m_K$ are found to be well described at next-to-leading order. Nonetheless, in order to simultaneously describe the lattice data and phenomenological determinations for the properties of light pseudoscalars $π, K, η$ and $η'$, the next-to-next-to-leading order study is essential. Furthermore, the lattice and phenomenological inputs are well reproduced for reasonable values of low the energy constants, compatible with previous bibliography.
description: 29 pages, 5 figures. Updated numerical results. References added. To match the published version in JHEP
Neural network design of multilayer metamaterial for temporal differentiation
Creators: name: Knightley, Tony
name: Yakovlev, Alex
name: Pacheco-Peña, Victor
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optics (physics.optics)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Controlling wave-matter interactions with metamaterials (MTMs) for the calculation of mathematical operations has become an important paradigm for analogue computing given their ability to dramatically increase computational processing speeds. Here, motivated by the importance of performing mathematical operations on temporal signals, we propose, design and study multilayer MTMs with the ability to calculate the derivative of incident modulated temporal signals, as an example of a significant computing process for signal processing. To do this, we make use of a neural network (NN) based algorithm to design the multilayer structures (alternating layers of indium tin oxide (ITO) and titanium dioxide (TiO2)) that can calculate the first temporal derivative of the envelope of an impinging electromagnetic signal at telecom wavelengths (modulated wavelength of 1550 nm). Different designs are presented using multiple incident temporal signals including a modulated Gaussian as well as modulated arbitrary functions, demonstrating an excellent agreement between the predicted results (NN results) and the theoretical (ideal) values. It is shown how, for all the designs, the proposed NN-based algorithm can complete its search of design space for the layer thicknesses of the multilayer MTM after just a few seconds, with a low mean square error in the order of (or below) 10^-4 when comparing the predicted results with the theoretical spectrum of the ideal temporal derivative.
description: 4 Figures, 17 pages
Fisher’s Combined Probability Test for High-Dimensional Covariance Matrices
Creators: name: Yu, Xiufan
name: Li, Danning
name: Xue, Lingzhou
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Pharmacology
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: Testing large covariance matrices is of fundamental importance in statistical analysis with high-dimensional data. In the past decade, three types of test statistics have been studied in the literature: quadratic form statistics, maximum form statistics, and their weighted combination. It is known that quadratic form statistics would suffer from low power against sparse alternatives and maximum form statistics would suffer from low power against dense alternatives. The weighted combination methods were introduced to enhance the power of quadratic form statistics or maximum form statistics when the weights are appropriately chosen. In this article, we provide a new perspective to exploit the full potential of quadratic form statistics and maximum form statistics for testing high-dimensional covariance matrices. We propose a scale-invariant power-enhanced test based on Fisher’s method to combine the p-values of quadratic form statistics and maximum form statistics. After carefully studying the asymptotic joint distribution of quadratic form statistics and maximum form statistics, we first prove that the proposed combination method retains the correct asymptotic size under the Gaussian assumption, and we also derive a new Lyapunov-type bound for the joint distribution and prove the correct asymptotic size of the proposed method without requiring the Gaussian assumption. Moreover, we show that the proposed method boosts the asymptotic power against more general alternatives. Finally, we demonstrate the finite-sample performance in simulation studies and a real application. Supplementary materials for this article are available online.
Skip, Skip, Skip, Accept!!!: A Study on the Usability of Smartphone Manufacturer Provided Default Features and User Privacy
Creators: name: Ramokapane, Kopo M.
name: Mazeli, Anthony C.
name: Rashid, Awais
Publisher: name: arXiv
Year: 2023
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences
subject: J.4

description: Smartphone manufacturer provided default features (e.g., default location services, iCloud, Google Assistant, ad tracking) enhance the usability and extend the functionality of these devices. Prior studies have highlighted smartphone vulnerabilities and how users' data can be harvested without their knowledge. However, little is known about manufacturer provided default features in this regard -- their usability concerning configuring them during usage, and how users perceive them with regards to privacy. To bridge this gap, we conducted a task-based study with 27 Android and iOS smartphone users in order to learn about their perceptions, concerns and practices, and to understand the usability of these features with regards to privacy. We explored the following: users' awareness of these features, why and when do they change the settings of these features, the challenges they face while configuring these features, and finally the mitigation strategies they adopt. Our findings reveal that users of both platforms have limited awareness of these features and their privacy implications. Awareness of these features does not imply that a user can easily locate and adjust them when needed. Furthermore, users attribute their failure to configure default features to hidden controls and insufficient knowledge on how to configure them. To cope with difficulties of finding controls, users employ various coping strategies, some of which are platform specific but most often applicable to both platforms. However, some of these coping strategies leave users vulnerable.
description: 19 pages, 3 figures, Proceedings on Privacy Enhancing Technologies (PoPETS)
Dilatonic Equation of Hydrostatic Equilibrium and Neutron Star Structure
Creators: name: Hendi, S. H.
name: Bordbar, G. H.
name: Panah, B. Eslam
name: Najafi, M.
Publisher: name: arXiv
Year: 2015
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: In this paper, we present a new hydrostatic equilibrium equation related to dilaton gravity. We consider a spherical symmetric metric to obtain the hydrostatic equilibrium equation of stars in $4$-dimensions, and generalize TOV equation to the case of regarding a dilaton field. Then, we calculate the structure properties of neutron star using our obtained hydrostatic equilibrium equation employing the modern equations of state of neutron star matter derived from microscopic calculations. We show that the maximum mass of neutron star depends on the parameters of dilaton field and cosmological constant. In other words, by setting the parameters of new hydrostatic equilibrium equation, we calculate the maximum mass of neutron star.
description: 10 pages with 4 figures, Numerical analysis added
Additional file 1 of Incidence, risk factors, and outcomes of early postoperative hyperglycemia in surgical patients: a protocol for a systematic review and meta-analysis
Creators: name: Ssentongo, Paddy
name: Lewcun, Joseph A.
name: Ssentongo, Anna E.
name: Soybel, David I.
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 1. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Protocols (PRISMA-P) checklist was used in this protocol.
Fisher’s combined probability test for high-dimensional covariance matrices*
Creators: name: Yu, Xiufan
name: Li, Danning
name: Xue, Lingzhou
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Pharmacology
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: Testing large covariance matrices is of fundamental importance in statistical analysis with high-dimensional data. In the past decade, three types of test statistics have been studied in the literature: quadratic form statistics, maximum form statistics, and their weighted combination. It is known that quadratic form statistics would suffer from low power against sparse alternatives and maximum form statistics would suffer from low power against dense alternatives. The weighted combination methods were introduced to enhance the power of quadratic form statistics or maximum form statistics when the weights are appropriately chosen. In this paper, we provide a new perspective to exploit the full potential of quadratic form statistics and maximum form statistics for testing high-dimensional covariance matrices. We propose a scale-invariant power-enhanced test based on Fisher’s method to combine the p-values of quadratic form statistics and maximum form statistics. After carefully studying the asymptotic joint distribution of quadratic form statistics and maximum form statistics, we first prove that the proposed combination method retains the correct asymptotic size under the Gaussian assumption, and we also derive a new Lyapunov-type bound for the joint distribution and prove the correct asymptotic size of the proposed method without requiring the Gaussian assumption. Moreover, we show that the proposed method boosts the asymptotic power against more general alternatives. Finally, we demonstrate the finite-sample performance in simulation studies and a real application.
Premorbid social adjustment and association with attenuated psychotic symptoms in clinical high-risk and help-seeking youth
Creators: name: Perkins, D.O.
name: Tarbox-Berry, S.I.
name: Addington, J.
name: Woods, S.W.
Publisher: name: Cambridge University Press
Year: 2018

description: Background Attenuated positive symptom syndrome (APSS), characterized by 'putatively prodromal' attenuated psychotic-like pathology, indicates increased risk for psychosis. Poor premorbid social adjustment predicts severity of APSS symptoms and predicts subsequent psychosis in APSS-diagnosed individuals, suggesting application for improving detection of 'true' prodromal youth who will transition to psychosis. However, these predictive associations have not been tested in controls and therefore may be independent of the APSS diagnosis, negating utility for improving prediction in APSS-diagnosed individuals. Method Association between premorbid social maladjustment and severity of positive, negative, disorganized, and general APSS symptoms was tested in 156 individuals diagnosed with APSS and 76 help-seeking (non-APSS) controls enrolled in the Enhancing the Prospective Prediction of Psychosis (PREDICT) study using prediction analysis. Results Premorbid social maladjustment was associated with social anhedonia, reduced expression of emotion, restricted ideational richness, and deficits in occupational functioning, independent of the APSS diagnosis. Associations between social maladjustment and suspiciousness, unusual thought content, avolition, dysphoric mood, and impaired tolerance to normal stress were uniquely present in participants meeting APSS criteria. Social maladjustment was associated with odd behavior/appearance and diminished experience of emotions and self only in participants who did not meet APSS criteria. Conclusions Predictive associations between poor premorbid social adjustment and attenuated psychotic-like pathology were identified, a subset of which were indicative of high risk for psychosis. This study offers a method for improving risk identification while ruling out low-risk individuals.
Additional file 1 of Changes in hepatic fibrosis and vitamin D levels after viral hepatitis C eradication using direct-acting antiviral therapy
Creators: name: Supachaya Sriphoosanaphan
name: Kessarin Thanapirom
name: Sirinporn Suksawatamnuay
name: Panarat Thaimai
name: Sukanya Sittisomwong
name: Kanokwan Sonsiri
name: Nunthiya Srisoonthorn
name: Nicha Teeratorn
name: Nattaporn Tanpowpong
name: Bundit Chaopathomkul
name: Sombat Treeprasertsuk
name: Poovorawan, Yong
name: Komolmit, Piyawat
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Molecular Biology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology
subject: FOS: Biological sciences

description: Additional file 1: Supplementary data 1: Study protocol (Original version).
Semi-automatic mapping of external scientific databases into the FAIRsharing platform
Creators: name: , Ramon
name: , Delphine
name: , Allyson
name: , Milo
name: , Susanna-Assunta
Publisher: name: Zenodo
Year: 2022
Subjects: FAIRsharing
FAIR
OpenAIRE
Repositories

description: As part of the FAIRsharing collaboration with OpenAIRE, we have aligned and de-duplicated data repository records across multiple registries. The work, described in this poster, is an essential step in helping users find the repositories they need within OpenAIRE Explore, and it was made possible thanks to the curation efforts of our FAIRsharing team and our OpenAIRE collaborators! More details about the FAIRsharing-OpenAIRE collaboration.
Additional file 2 of Changes in hepatic fibrosis and vitamin D levels after viral hepatitis C eradication using direct-acting antiviral therapy
Creators: name: Supachaya Sriphoosanaphan
name: Kessarin Thanapirom
name: Sirinporn Suksawatamnuay
name: Panarat Thaimai
name: Sukanya Sittisomwong
name: Kanokwan Sonsiri
name: Nunthiya Srisoonthorn
name: Nicha Teeratorn
name: Nattaporn Tanpowpong
name: Bundit Chaopathomkul
name: Sombat Treeprasertsuk
name: Poovorawan, Yong
name: Komolmit, Piyawat
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Molecular Biology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology
subject: FOS: Biological sciences

description: Additional file 2: Supplementary data 2: Study protocol (English version).
Intercultural Communication In The Classroom: A Study Of A Foreign Teacher's Rhetorical Practices That Accomplish Learning
Creators: name: Delante, Nimrod Lawsin
Publisher: name: Zenodo
Year: 2019
Subjects: Intercultural communication
rhetoric
rhetorical practices
Rhetorical Tradition of Communication Theory
dramatistic pentad
teaching and learning
Media and communication studies

description: Abstract This study is framed within the Rhetorical Tradition of Communication Theory which theorises communication as the practical art of discourse and problems of communication as social exigencies requiring collective deliberation and judgment (Craig, 1999). The rhetorical nature of classroom teaching as an intercultural communication phenomenon can create a social exigency in communication when the culture of students clashes with the culture of teachers when it comes to teaching. To resolve this social exigency, teachers perform rhetorical practices in classroom teaching that accomplish learning. This dissertation attempted to answer two research questions: (1) What are the rhetorical practices of a foreign teacher? and (2) How do these rhetorical practices accomplish learning? Guided by grounded theory as a methodological tradition with the help of Burke's (1945) dramatistic pentad as an analytical tool, I observed a foreign teacher's multicultural classroom teaching to pin down her rhetorical practices and to analyse how these rhetorical practices accomplish learning. I found that teaching consists of three rhetorical practices, namely: imperatives (I), explanation (E) and appeals (A). In accomplishing learning, imperatives enable students to learn the basic concepts in class; explanation allows them to understand the dimensions or aspects of these concepts; while appeals make them aware, reflective, critical and wiling to apply their own learning in real-life situations.
Precision Measurement of the Excited State Landé g-factor and Diamagnetic Shift of the Cesium D$_{2}$ Line
Creators: name: Stærkind, Hans
name: Jensen, Kasper
name: Müller, Jörg H.
name: Boer, Vincent O.
name: Petersen, Esben Thade
name: Polzik, Eugene S.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We have performed saturated absorption spectroscopy on the cesium D$_{2}$ line in 3 T and 7 T magnetic fields. By means of sideband spectroscopy on the extreme angular momentum states we have measured the linear magnetic frequency shift of the transition to be $γ_1 = 13.994\:301(11)$ GHz/T. This corresponds to an optical magnetic field measurement of better than 1 ppm accuracy. From this value we can calculate the fine structure Landé g-factor $g_J\left(6^2P_{3/2}\right) = 1.334\:087\:49(52)$. This is consistent with the previous best measurement, and improves the accuracy by more than two orders of magnitude. We have also measured, for the first time ever, the quadratic diamagnetic shift as $γ_2 = 0.4644(35)\:\mathrm{MHz/T^2}$. Our work opens up the field of accurate high field optical magnetometry using atomic cesium. These high accuracy measurements also allow for testing of advanced atomic structure models, as our results are incompatible with the Russel-Saunders coupling value, and the hydrogen-constant-core-model value, by 31 and 7 standard deviations respectively.
Extremely strong coupling s-wave superconductivity in the medium-entropy alloy TiHfNbTa
Creators: name: Zeng, Lingyong
name: Hu, Xunwu
name: Boubeche, Mebrouka
name: Li, Kuan
name: Li, Longfu
name: Yu, Peifei
name: Wang, Kangwang
name: Zhang, Chao
name: Jin, Kui
name: Yao, DaoXin
name: Luo, Huixia
Publisher: name: arXiv
Year: 2023
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: Here we report a TiHfNbTa bulk medium-entropy alloy (MEA) superconductor crystallized in the body-centered cubic structure, which is synthesized by an arc melting method. Superconducting properties of the TiHfNbTa are studied by employing magnetic susceptibility, resistivity, and specific heat measurements. Experimental results show a bulk superconducting transition temperature (Tc) of around 6.75 K. The lower and upper crit-ical fields for TiHfNbTa are 45.8 mT and 10.46 T, respectively. First-principles calculations show that the d electron of Ti, Hf, Nb, and Ta is the main contribution near the Fermi level. Our results indicate that the superconductivity is a conven-tional s-wave type with extremely strong coupling. The extremely strong coupling behavior in the s-wave type TiHfNbTa MEA superconductor is unusual because it generally happens in cuprates, pnictides, and other unconventional superconductors.
description: 21 pages, 6 figures
title: Application of Layered High Entropy Oxides as Cathode Materials for Li/Na-ion Batteries
Creators: name: Wang, Junbo
Publisher: name: UNSPECIFIED
Year: 2022

description: With the increasing fossil energy consumptions and environmental concerns, new sustainable energy sources and new energy storage fields are playing increasingly important roles in modern society. A series of energy storage devices such as lithium-ion batteries (LIBs) and sodium-ion batteries (SIBs) have received global attentions from researchers and urgent demands for social developments. In LIBs/SIBs, the cathode material as the main component is critical factor affecting the property of full cells presently. As one of the earliest systems, layered oxide cathode materials have good commercial prospects until to now, therefore, a lot of strategies, such as new materials developing, elemental doping and surface coating, etc., have been explored to improve the electrochemical performance of them. To develop novel electrode materials and inspired by the design concept of high entropy alloys (HEAs), high entropy oxides (HEOs) as a new class of material were developed in recent years and studied as an anode material for LIBs starting in 2018. It shows unexpected reversibility compared to other non-high entropy compositions due to the unique entropy stability property. Subsequently, increasing number of researches have been reported on the use of high entropy materials in energy storage devices. The virtually infinite variety of multi-elemental compositions for a single-phase structure allows the tailoring of their physical properties and enables unprecedented materials design. A series of HEOs were prepared by nebulized spray pyrolysis (NSP) and solid-state reaction in this work. In order to explore the use of HEOs in LIBs/SIBs, the terms of materials design, synthesis method, crystal structure evolutions accompanied with charge compensation and electrochemical performance of HEOs are studied. The transfer of the high entropy concept to electrode materials may provide new strategies and technologies for material design and the preparation of novel compounds with unprecedented properties. Based on these results, it can be expected that the high entropy strategy can open new insights into electronic and structural chemistry for advanced electrode materials.
High-Dimensional Composite Quantile Regression: Optimal Statistical Guarantees and Fast Algorithms
Creators: name: Moon, Haeseong
name: Zhou, Wen-Xin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences
subject: 62J07 (Primary) 62A01 (Secondary)

description: The composite quantile regression (CQR) was introduced by Zou and Yuan [Ann. Statist. 36 (2008) 1108--1126] as a robust regression method for linear models with heavy-tailed errors while achieving high efficiency. Its penalized counterpart for high-dimensional sparse models was recently studied in Gu and Zou [IEEE Trans. Inf. Theory 66 (2020) 7132--7154], along with a specialized optimization algorithm based on the alternating direct method of multipliers (ADMM). Compared to the various first-order algorithms for penalized least squares, ADMM-based algorithms are not well-adapted to large-scale problems. To overcome this computational hardness, in this paper we employ a convolution-smoothed technique to CQR, complemented with iteratively reweighted $\ell_1$-regularization. The smoothed composite loss function is convex, twice continuously differentiable, and locally strong convex with high probability. We propose a gradient-based algorithm for penalized smoothed CQR via a variant of the majorize-minimization principal, which gains substantial computational efficiency over ADMM. Theoretically, we show that the iteratively reweighted $\ell_1$-penalized smoothed CQR estimator achieves near-minimax optimal convergence rate under heavy-tailed errors without any moment constraint, and further achieves near-oracle convergence rate under a weaker minimum signal strength condition than needed in Gu and Zou (2020). Numerical studies demonstrate that the proposed method exhibits significant computational advantages without compromising statistical performance compared to two state-of-the-art methods that achieve robustness and high efficiency simultaneously.
description: 42 pages, 7 figures
Latent profile analysis and conversion to psychosis: Characterizing subgroups to enhance risk prediction
Creators: name: Woods, S.W.
name: Healey, K.M.
name: Keefe, R.S.E.
name: Addington, J.
name: Perkins, D.
name: Penn, D.L.
Publisher: name: Oxford University Press
Year: 2018

description: Background: Groups at clinical high risk (CHR) of developing psychosis are heterogeneous, composed of individuals with different clusters of symptoms. It is likely that there exist subgroups, each associated with different symptom constellations and probabilities of conversion. Method: Present study used latent profile analysis (LPA) to ascertain subgroups in a combined sample of CHR (n = 171) and help-seeking controls (HSCs; n = 100; PREDICT study). Indicators in the LPA model included baseline Scale of Prodromal Symptoms (SOPS), Calgary Depression Scale for Schizophrenia (CDSS), and neurocognitive performance as measured by multiple instruments, including category instances (CAT). Subgroups were further characterized using covariates measuring demographic and clinical features. Results: Three classes emerged: class 1 (mild, transition rate 5.6%), lowest SOPS and depression scores, intact neurocognitive performance; class 2 (paranoid-affective, transition rate 14.2%), highest suspiciousness, mild negative symptoms, moderate depression; and class 3 (negative-neurocognitive, transition rate 29.3%), highest negative symptoms, neurocognitive impairment, social cognitive impairment. Classes 2 and 3 evidenced poor social functioning. Conclusions: Results support a subgroup approach to research, assessment, and treatment of help-seeking individuals. Class 3 may be an early risk stage of developing schizophrenia.
Additional file 1 of Improving patient-provider communication about chronic pain: development and feasibility testing of a shared decision-making tool
Creators: name: Nananda Col
name: Hull, Stephen
name: Springmann, Vicky
name: Ngo, Long
name: Merritt, Ernie
name: Gold, Susan
name: Sprintz, Michael
name: Genova, Noel
name: Nesin, Noah
name: Tierman, Brenda
name: Sanfilippo, Frank
name: Entel, Richard
name: Pbert, Lori
Publisher: name: figshare
Year: 2020
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1: Appendix 1. Exploratory Analyses of Post-provider Visit in each Study Group.
Lack of diagnostic pluripotentiality in patients at clinical high risk for psychosis: Specificity of comorbidity persistence and search for pluripotential subgroups
Creators: name: Johannesen, J.K.
name: Cornblatt, B.A.
name: McGlashan, T.H.
name: Perkins, D.O.
name: Davidson, C.A.
name: Walker, E.F.
name: Woods, S.W.
name: Taylor, J.H.
name: Tsuang, M.T.
name: Addington, J.
name: Cannon, T.D.
name: Cadenhead, K.S.
name: Seidman, L.J.
name: Bearden, C.E.
name: Powers, A.R., III
Publisher: name: Oxford University Press
Year: 2018

description: More than 20 years after the clinical high risk syndrome for psychosis (CHR) was first articulated, it remains controversial whether the CHR syndrome predicts onset of psychosis with diagnostic specificity or predicts pluripotential diagnostic outcomes. Recently, analyses of observational studies, however, have suggested that the CHR syndrome is not pluripotential for emergent diagnostic outcomes. The present report conducted additional analyses in previously reported samples to determine (1) whether comorbid disorders were more likely to persist in CHR patients compared to a comparison group of patients who responded to CHR recruitment efforts but did not meet criteria, termed help-seeking comparison subjects (HSC); and (2) whether clinically defined pluripotential CHR subgroups could be identified. All data were derived from 2 multisite studies in which DSM-IV structured diagnostic interviews were conducted at baseline and at 6-month intervals. Across samples we observed persistence of any nonpsychotic disorder in 80/147 CHR cases (54.4%) and in 48/84 HSC cases (57.1%, n.s.). Findings with persistence of anxiety, depressive, and bipolar disorders considered separately were similar. Efforts to discover pluripotential CHR subgroups were unsuccessful. These findings add additional support to the view that the CHR syndrome is not pluripotential for predicting various diagnostic outcomes but rather is specific for predicting emergent psychosis.
On-fiber high-resolution photonic nanojets via high refractive index dielectrics
Creators: name: Aljuaid, Wasem
name: Riley, Joseph Arnold
name: Healy, Noel
name: Pacheco-Peña, Victor
Publisher: name: arXiv
Year: 2022
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: In this manuscript, we present high spatial resolution focusing of electromagnetic waves at telecommunication wavelengths (λ0 = 1.55 μm) by using high-refractive index mesoscale dielectrics placed at the end of an optical fiber. Our approach exploits photonic nanojets (PNJs) to achieve high-intensity, spatially narrow focal spots. The response of the device is evaluated in detail considering 2-dimensional (2D) and 3-dimensional (3D) configurations using high-index mesoscale cylindrical and spherical dielectrics, respectively, placed on top of an optical fiber. It is shown how the PNJs can be shifted towards the output surface of the mesoscale high-index dielectric by simply truncating its 2D/3D cylindrical/spherical output profile. With this setup, a PNJ with a high transversal resolution is obtained using the 2D/3D engineered mesoscale dielectric particles achieving a Full-Width at Half-Maximum of FWHM = 0.28λ0 (2D truncated dielectric), and FWHMy = 0.17λ0 and FWHMx = 0.21λ0 (3D truncated dielectric). The proposed structure may have potential in applications where near-field high spatial resolution is required, such as in sensing and imaging systems.
description: 13 pages. 6 figures
Rhetoric Undertones of Communication in an EFL (English as a Foreign Language) Online-Teaching Setting
Creators: name: de Vera, Presley V.
Publisher: name: Zenodo
Year: 2019
Subjects: Communication research
Rhetoric Theory of Communication
Invitational and Patriarchal Rhetoric
Teaching Discourse
English Language Teaching/EFL
Discourse Analysis
Sex-Aggregated Study
Media and communication studies

description: Abstract Teaching discourses essentially presuppose the use of rhetoric. This communication research draws on the Rhetoric Theory of Communication to investigate rhetoric undertones in the teaching discourses of EFL (English as a Foreign Language) teachers engaged in online teaching. The case study involved four participants of equal number of male and female teachers to account for sex- aggregated analysis. It employed Sinclair & Coulthard's method of classroom discourse analysis in the transcription of the teachers' spoken corpora. Findings revealed that (1) male and female teachers used rhetoric in the online teaching of EFL courses, and (2) they used rhetoric in the context of deploying certain discourse functions. On the varied rhetoric intents of the teachers underlying their rhetorical moves, male and female teachers account exhaustively on the use of all types of rhetoric, i.e. Foss' typology of invitational and patriarchal rhetoric (operationalized in this study as ""intrusive rhetoric""), and the latter's sub-types. There have been noted difference, both remarkable and less significant, between male and female teachers' rhetoric practices. From the synthesis of the study's findings and conclusions, several recommendations are offered for the improvement of English language pedagogy, for future research, and the interest of advancement in theorizing under the rhetoric tradition in the field of communication.
Overdetermined problems for fully nonlinear equations with constant Dirichlet boundary conditions in space forms
Creators: name: Gao, Shanze
name: Ma, Hui
name: Yang, Mingxuan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Analysis of PDEs (math.AP)
subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 35N25, 58J32, 53C40

description: We consider overdetermined problems for two classes of fully nonlinear equations with constant Dirichlet boundary conditions in a bounded domain in space forms. We prove that if the domain is star-shaped, then the solution to the Hessian quotient overdetermined problem is radially symmetric. By establishing a Rellich-Pohožaev type identity for the $k$-Hessian equation with constant Dirichlet boundary condition, we also show the radial symmetry of the solution to the $k$-Hessian overdetermined problem for some boundary value without star-shapedness assumption of the domain.
description: final version