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Giovanni Canestrini’s models of Leonardo da Vinci’s friction experiments
IM Hutchings
Feb 16, 2017
Among the exhibits at the 2016 Leonardo da Vinci exhibition at the Science Museum, London, was one that purported to illustrate Leonardo’s experiments on friction. The models involved were the work of Giovanni Canestrini...
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How Literal is the 1972 Translation Into English of J.L. Borges' Historia Universal de la Infamia?
Marcelo Sánchez
Jan 01, 2023
This article analyzes A Universal History of Infamy, the 1972 translation into English of Historia Universal de la Infamia (hereinafter, HUI). While assessing this translation's degree of literality, the authors also...
Remote Teaching and Learning
Distance learning in the knowledge society, characterized by the massive use of information and communication technologies, is increasingly used and leads to teaching and learning methods that are different from conventional...
Robotic oncologic colorectal surgery with a new robotic platform (CMR Versius)
BACKGROUND: The present case-series describes the first full-robotic colorectal resections performed with the new CMR Versius platform (Cambridge Medical Robotics Surgical, 1 Evolution Business Park, Cambridge, United Kingdom)...
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Deep Learning Hybrid Models for COVID-19 Prediction
COVID-19 is a highly contagious virus. Blood test is one of effective methods for COVID-19 diagnosis. However, the issues of blood test are time-consuming and lack of medical staff. In this paper, four deep learning hybrid...
Glutathione–Allylsulfur Conjugates as Mesenchymal Stem Cells Stimulating Agents for Potential Applications in Tissue Repair
The endogenous gasotransmitter H2S plays an important role in the central nervous, respiratory and cardiovascular systems. Accordingly, slow-releasing H2S donors are powerful tools for basic studies and innovative...
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Machine Learning on Soccer Player Positions
During the last few years, sports analytics has been growing rapidly. The main usage of this discipline is the prediction of soccer match results, even if it can be applied with interesting results in different areas, such as...
Functional Roles of Nova in RNA Metabolism
Giovanni Stefani
Jan 01, 0001
Nova-1 is a neuron-specific RNA binding protein, distributed both in the nucleus and the cytoplasm of several populations of neurons. The work presented here confirms that Nova-1 binds a sequence of RNA found in an intron of the...
Published by: Rockefeller University
Robotic oncologic colorectal surgery with a new robotic platform (CMR Versius)
BACKGROUND: The present case-series describes the first full-robotic colorectal resections performed with the new CMR Versius platform (Cambridge Medical Robotics Surgical, 1 Evolution Business Park, Cambridge, United Kingdom)...
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Smyd2 conformational changes in response to p53 binding
Smyd2 lysine methyltransferase regulates monomethylation of histone and nonhistone lysine residues using S-adenosylmethionine cofactor as the methyl donor. The nonhistone interactors include several tumorigenic targets...
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Bootstrapping large graviton non-Gaussianities
Abstract: Gravitational interferometers and cosmological observations of the cosmic microwave background offer us the prospect to probe the laws of gravity in the primordial universe. To study and interpret these datasets we...
Coherent Spin and Quasiparticle Dynamics in Solution-Processed Layered 2D Lead Halide Perovskites.
Layered 2D halide perovskites with their alternating organic and inorganic atomic layers that form a self-assembled quantum well system are analogues of the purely inorganic 2D transition metal dichalcogenides. Within their...
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Running-coupling effects in the triple-differential charmless semileptonic decay width.
We compute the fully–differential ¯B → Xul¯ν decay width to all orders in perturbation theory in the large–β0 limit. Each of the five structure functions that build the hadronic tensor is expressed as a Borel integral, summing...
Parity violation in the scalar trispectrum
We derive a set of no-go theorems and yes-go examples for the parity-odd primordial trispectrum of curvature perturbations. We work at tree-level in the decoupling limit of the Effective Field Theory of Inflation and assume...
Modified first-difference estimator in a panel data model with unobservable factors both in the errors and the regressors when the time dimension is small
Giovanni Forchini, Bin Peng
Jan 01, 0001

Panel data models with factor structures in both the errors and the regressors have received considerable attention recently. In these models, the errors and the regressors are correlated and the standard estimators are...

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Characterization of a supercharger as boosting & turbo-expansion device in sequential multi-stage systems
Engine downsizing is driving the automotive industry towards more performing, and less polluting drivetrains. However in order to achieve significant engine downsizing without sacrificing performance, these engines need to be...
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Automated methods for cell type annotation on scRNA-seq data.
The advent of single-cell sequencing started a new era of transcriptomic and genomic research, advancing our knowledge of the cellular heterogeneity and dynamics. Cell type annotation is a crucial step in analyzing single-cell...
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Modified first-difference estimator in a panel data model with unobservable factors both in the errors and the regressors when the time dimension is small
Giovanni Forchini, Bin Peng
Jan 01, 0001

Panel data models with factor structures in both the errors and the regressors have received considerable attention recently. In these models, the errors and the regressors are correlated and the standard estimators are...

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Mass Benefit Analysis of 4-Stroke and Wankel Range Extenders in an Electric Vehicle over a Defined Drive Cycle with Respect to Vehicle Range and Fuel Consumption
The gradual push towards electric vehicles (EV) as a
primary mode of transport has resulted in an increased
focus on electric and hybrid powertrain research. One
answer to the consumers’ concern over EV range is the...
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Detecting and comparing non-coding RNAs in the high-throughput era.
In recent years there has been a growing interest in the field of non-coding RNA. This surge is a direct consequence of the discovery of a huge number of new non-coding genes and of the finding that many of these transcripts are...
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Spin Purification in Full-CI Quantum Monte Carlo via a First-Order Penalty Approach.
In this article, we demonstrate that a first-order spin penalty scheme can be efficiently applied to the Slater determinant based Full-CI Quantum Monte Carlo (FCIQMC) algorithm, as a practical route toward spin purification. Two...
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