bluuebunny/crossref_metadata_2025_split huggingface dataset:
Physiological reconstruction of blood glucose level using CGMS-signals only
Authors: Koutny Tomas 
Published: April 2022

AbstractPatient with diabetes must regularly monitor blood glucose level. Drawing a blood sample is a painful and discomfort experience. Alternatively, the patient measures interstitial fluid glucose level with a sensor installed in subcutaneous tissue. Then, a model of glucose dynamics calculates blood glucose level from the sensor-measured, i.e., interstitial fluid glucose level of subcutaneous tissue. Interstitial fluid glucose level can significantly differ from blood glucose level. The sensor is either factory-calibrated, or the patient calibrates the sensor periodically by drawing blood samples, when glucose levels of both compartments are steady. In both cases, the sensor lifetime is limited up to 14 days. This is the present state of the art. With a physiological model, we would like to prolong the sensor lifetime with an adaptive approach, while requiring no additional blood sample. Prolonging sensor’s lifetime, while reducing the associated discomfort, would considerably improve patient’s quality of life. We demonstrate that it is possible to determine personalized model parameters from multiple CGMS-signals only, using an animal experiment with a hyperglycemic clamp. The experimenter injected separate glucose and insulin boluses to trigger rapid changes, on which we evaluated the ability to react to non-steady glucose levels in different compartments. With the proposed model, 70%, 80% and 95% of the calculated blood glucose levels had relative error less than or equal to 21.9%, 32.5% and 43.6% respectively. Without the model, accuracy of the sensor-estimated blood glucose level decreased to 39.4%, 49.9% and 99.0% relative errors. This confirms feasibility of the proposed method.
Epigenomic alterations in cancer: mechanisms and therapeutic potential
Authors: Gray Jaimie S. , Wani Sajad A. , Campbell Moray J. 
Published: April 2022

Abstract
The human cell requires ways to specify its transcriptome without altering the essential sequence of DNA; this is achieved through mechanisms which govern the epigenetic state of DNA and epitranscriptomic state of RNA. These alterations can be found as modified histone proteins, cytosine DNA methylation, non-coding RNAs, and mRNA modifications, such as N6-methyladenosine (m6A). The different aspects of epigenomic and epitranscriptomic modifications require protein complexes to write, read, and erase these chemical alterations. Reflecting these important roles, many of these reader/writer/eraser proteins are either frequently mutated or differentially expressed in cancer. The disruption of epigenetic regulation in the cell can both contribute to cancer initiation and progression, and increase the likelihood of developing resistance to chemotherapies. Development of therapeutics to target proteins involved in epigenomic/epitranscriptomic modifications has been intensive, but further refinement is necessary to achieve ideal treatment outcomes without too many off-target effects for cancer patients. Therefore, further integration of clinical outcomes combined with large-scale genomic analyses is imperative for furthering understanding of epigenomic mechanisms in cancer.
Quercetin and Methotrexate in Combination have Anticancer Activity in
Osteosarcoma Cells and Repress Oncogenic MicroRNA-223
Authors: Mohammadi Erfan , Alemi Forough , Maleki Masomeh , Malakoti Faezeh , Farsad-Akhtar Nader , Yousefi Bahman 
Published: April 2022

Abstract
Introduction Osteosarcoma (OS) is one of the most common bone neoplasms in
adolescents. Notable short- and long-term toxic effects of OS chemotherapy
regimens have been reported. Hence, new chemotherapeutic agents with the ability
to potentiate OS chemotherapy drugs and protect non-tumorous tissues are
required.
Methods Saos-2 cells were treated with Methotrexate (MTX) and Quercetin
(Que) (a polyphenolic flavonoid with anti-tumor effects) alone and in
combination. MTT assay was performed to investigate the cytotoxicity of the
drugs. Moreover, apoptosis-involved genes, including miR-223, p53,
BCL-2, CBX7, and CYLD expression were analyzed via qRT-PCR. Annexin
V-FITC/PI kit was employed to assess the apoptosis rate.
Results The MTT results showed that Que increases MTX cytotoxicity on OS
cells. The measured IC50s are 142.3 µM for QUE and
13.7 ng/ml for MTX. A decline in MTX IC50 value was observed
from 13.7 ng/ml to 8.45 ng/ml in the presence of
Que. Moreover, the mRNA expression outcomes indicated that the combination
therapy significantly up-regulates the tumor suppressor genes, such as p53,
CBX7, and CYLD, and declines anti-apoptotic genes BCL-2 and miR-223, which can
lead to proliferation inhibition and apoptosis inducement. Furthermore, the
apoptosis rate increased significantly from 6.03% in the control group
to 38.35% in Saos-2 cells that were treated with the combination of MTX
and Que.
Conclusion Que, with the potential to boost the anticancer activity of MTX
on Saos-2 cancer cells through proliferation inhibition and apoptosis induction,
is a good candidate for combination therapy.
Outcomes Associated with Nasal Reconstruction Post-Rhinectomy: A Narrative Review
Authors: John Jithin , Gupta Rohun , Grossbauer Anne , Chung Michael , Sethna Anita , Abboud Michel , Cox Eric , Hart Justin , Folbe Adam , Chaiyasate Kongkrit 
Published: April 2022

AbstractThe face and the external nose define an individual's physical appearance. Nasal deformities can cause facial disfigurement along with unwanted psychological repercussions. Nasal deformities range in severity, with the most severe cases being indications for a rhinectomy, due to the complexity of the nasal defect. According to published literature, there is no consensus among otolaryngologists and plastic surgeons on which technique or flap use is preferred in terms of complications, aesthetic outcome, or patient satisfaction. The goal of this study is to provide a comprehensive analysis of published studies on nasal reconstruction following rhinectomy. Using the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines for writing systematic reviews, a systematic review was conducted. Four databases were searched using a search strategy. These articles were then imported into the COVIDENCE software and went screening and thorough article review. After screening 2,237 articles, 23 studies were then extracted for data collection analysis. We collected data from 12 case series, 4 case studies, 1 prospective case series, and 4 retrospective chart review studies. The most commonly reported flaps were forehead flaps, superior extended nasal myocutaneous island, forearm free flaps, anterolateral thigh (ALT) free flap, medial femoral condyle free flap (n = 8), and zygomaticus implants (n = 6), and retained nasal prosthesis. Although not specifically indicated by a certain number, the most common indication for the rhinectomy was malignancy, followed by traumas, postsurgical complications, radionecrosis, and congenital nasal malformations.Although several donor flaps can be used after rhinectomy, we conclude that there is no preference over what flap has superior patient outcomes after analysis. As of current, there are no prospective studies that exist. Therefore, more research is necessary to determine the results of each flap.
Responsive corporatism without political credit: social concertation, constructive opposition and the long tenure of the Rutte II cabinet in the Netherlands (2012–2017)
Authors: Hemerijck Anton , Karremans Johannes , van der Meer Marc 
Published: April 2022

AbstractThis paper analyses the unexpected return of social concertation in the Netherlands under the Rutte II government (2012–2017). Despite political fragmentation, electoral volatility and intensified EU budgetary surveillance, between 2012 and 2017 the Netherlands witnessed several social pacts that proved vital to the enactment of long-awaited reforms, allowed the government to turn post-crisis fiscal deficits into surpluses, and helped regenerate economic growth. After describing the contextual differences with the Dutch ‘miracle’ years of the 1980s and 1990s, we reveal a novel institutional logic of responsive corporatism whereby, first, a social pact with civil society actors is agreed which, then, becomes a launching pad for the de facto minority government to enlist parties from the ‘constructive opposition’ in these agreements to deliver anticipated reforms. Unlike the 1980s and 1990s, however, pro-active engagement with the social partners did not pay out electorally, in particular for the social democrats.
Finite element model updating of smart structures with direct updating algorithm
Authors: Verma Shivam , Kango Saurabh , Bagha Ashok Kumar , Bahl Shashi 
Published: April 2022

Abstract
In this paper, a finite element model updating algorithm is proposed to enhance the accuracy of the simulated finite element model of a smart structure (collocated piezoelectric patches embedded on a cantilever beam). Piezoelectric patches are used to sense and control the excessive vibrations of the structures. Mostly, they are mounted on flexible structures to measure their response at different excitations. The finite element method can be used to model the beam embedded with collocated piezoelectric patches. The complete finite element formulation of the smart structure is briefly described in this paper. There are different types of uncertainties that may be present in the simulated finite element model of a smart structure such as uncertainty in the structural boundary conditions, in the material elastic properties, the dimensions of the structure, piezoelectric elastic and electric properties, and the location of the piezoelectric patches mounted on the structure. In the present analytical study, the above uncertainties present in the smart structure are reduced by using the direct updating algorithm. It is found that the direct updating method through updating the mass and the stiffness matrices of the smart structure successfully enhance the accuracy of the simulated finite element model of the beam embedded with PZT patches. The state-space method is used to predict the response in the frequency domain. The maximum percentage error in the simulated finite element model of the piezoelectric embedded beam structure due to its structural and the electrical property uncertainty is 10.36% and 23.52% respectively and that was completely removed by using the direct updating algorithm. The optimal location of the piezoelectric patches is also taken as uncertainty which is successfully updated by using the proposed direct updating algorithm. The maximum percentage error in the natural frequencies of the smart structure due to location uncertainty is 18.39% which was also completely removed. To validate the outcomes, a frequency response function (FRF) is plotted.
Cosmology of an axion-like majoron
Authors: Cuesta A.J. , Gómez M.E. , Illana J.I. , Masip M. 
Published: April 2022

Abstract
We propose a singlet majoron model that defines an inverse seesaw mechanism in the ν sector.
The majoron ϕ has a mass mϕ
≈ 0.5 eV and a coupling to the τ lepton
similar to the one to neutrinos. In the early universe it is initially in thermal
equilibrium, then it decouples at T ≈ 500 GeV and
contributes with just ΔN
eff = 0.026 during BBN. At T = 26 keV (final stages of BBN) a primordial
magnetic field induces resonant
γ ⟷ ϕ oscillations that transfer 6% of the photon energy into majorons,
implying ΔN
eff = 0.55 and a 4.7% increase in the baryon to photon ratio.
At T ≈ mϕ
the majoron
enters in thermal contact with the heaviest neutrino and it finally decays
into νν̅ pairs near recombination, setting ΔN
eff = 0.85.
The boost in the expansion rate at later times
may relax the Hubble tension (we obtain H
0 = (71.4 ± 0.5) km/s/Mpc),
while the processes νν̅ ⟷ ϕ
suppress the free streaming of these particles
and make the model consistent with large scale structure observations. Its lifetime and
the fact that it decays into neutrinos instead of photons
lets this axion-like majoron avoid the strong bounds that affect other
axion-like particles of similar mass and coupling to photons.
A sonic boom in bubble wall friction
Authors: Dorsch Glauber C. , Huber Stephan J. , Konstandin Thomas 
Published: April 2022

Abstract
We revisit the computation of bubble wall friction during a cosmological first-order phase transition, using an extended fluid Ansatz to solve the linearized Boltzmann equation. A singularity is found in the fluctuations of background species as the wall approaches the speed of sound. Using hydrodynamics, we argue that a discontinuity across the speed of sound is expected on general grounds, which manifests itself as the singularity in the solution of the linearized system. We discuss this result in comparison with alternative approaches proposed recently, which find a regular behaviour of the friction for all velocities.
Potential energy surface and formation of superheavy nuclei with the Skyrme energy-density functional
Authors: Peng Cheng , Feng Zhao-Qing 
Published: April 2022

Abstract
With the Skyrme energy-density functional theory, the nucleus–nucleus potential is calculated and the potential energy surface is obtained with different effective forces for accurately estimating the formation cross sections of superheavy nuclei in massive fusion reactions. The width and height of the potential pocket are influenced by the Skyrme effective forces SkM, SkM*, SkP, SIII, Ska, and SLy4, which correspond to the different equations of state for the isospin symmetry nuclear matter. It is found that the nucleus–nucleus potential is associated with the collision orientation and Skyrme forces. A more repulsive nuclear potential is pronounced with increasing the incompressible modulus of nuclear matter, which hinders the formation of superheavy nuclei. The available data in the fusion-evaporation reaction of 48Ca+238U are nicely reproduced with the SkM* parameter by implementing the potential into the dinuclear system model.
Determination of the impact parameter in high-energy heavy-ion collisions via deep learning *
Authors: Xiang Pei , Zhao Yuan-Sheng , Huang Xu-Guang 
Published: April 2022

Abstract
In this study, Au+Au collisions with an impact parameter of

fm at

GeV are simulated using the AMPT model to provide preliminary final-state information. After transforming this information into appropriate input data (the energy spectra of final-state charged hadrons), we construct a multi-layer perceptron (MLP) and convolutional neural network (CNN) to connect final-state observables with the impact parameters. The results show that both the MLP and CNN can reconstruct the impact parameters with a mean absolute error approximately

fm, although the CNN behaves slightly better. Subsequently, we test the neural networks at different beam energies and pseudorapidity ranges in this task. These two models work well at both low and high energies. However, when conducting a test for a larger pseudorapidity window, the CNN exhibits a higher prediction accuracy than the MLP. Using the Grad-CAM method, we shed light on the 'attention' mechanism of the CNN model.
Intuitionistic fuzzy inventory model with quadratic demand rate, time-dependent holding cost and shortages
Authors: Chaudhary Priti , Kumar Tanuj 
Published: April 2022

Abstract
In the present work, we studied an inventory model under quadratic demand rate, linearly time-dependent holding cost, constant deterioration rate and allowed shortages. Intuitionistic fuzzy set (IFS) theory is an efficient tool to reduce the uncertainty that occurs due to hesitation, so we studied the considered model under intuitionistic fuzzy set theory. Further, the model is transformed into an intuitionistic fuzzy inventory model by taking the decision variables as triangular intuitionistic fuzzy numbers. To optimize the best inventory policy under the intuitionistic fuzzy environment, the alpha-cut approach is used for the defuzzification of all intuitionistic fuzzy decision variables. Regarding the proposed model, a numerical example is presented to validate the methodology.
Quantum Monte Carlo Study of Weyl Superconductivity
Authors: Rosenberg Peter , Manousakis Efstratios 
Published: April 2022

Abstract
Using auxiliary-field quantum Monte Carlo we study superconductivity in a simple extension of the two-dimensional negative-U Hubbard model which hosts Weyl nodes near the Fermi surface. We discuss the model and our method as applied to the study of superconductivity in this system. We discuss the nature of pairing between Weyl quasiparticles which carry opposite spin and opposite topological charge leading to a spin-singlet pairing amplitude and to a mixture of pseudo-spin singlet and pseudo-spin triplet pairing.
Thermal transport in periodic and quasiperiodic graphene-hBN superlattice ribbons
Authors: Pereira Luiz Felipe C , Felix Isaac M 
Published: April 2022

Abstract
Nanostructured superlattices are expected to play a significant role in the next generation of technological devices, specially due to their adjustable physical properties. In terms of heat transport, materials with low thermal conductivities can be useful in thermoelectric devices or heat shields, while materials with high thermal conductivities are fundamental for heat dissipation in miniaturized electronic devices. In general, transport properties are dominated by translational symmetry and the presence of unconventional symmetries might lead to unusual transport characteristics. In this work, we report our results from nonequilibrium molecular dynamics simulations to investigate phonon heat transport in periodic and quasiperiodic graphene-hBN superlattices. The periodic superlattices are built with alternating equal-sized domains of graphene and hBN, while the quasiperiodic case follows the Fibonacci sequence, which lies between periodic and disordered structures. Periodic superlattices can facilitate coherent phonon transport due to constructive interference at the boundaries between the materials. Nonetheless, it is possible to induce a crossover from a coherent to an incoherent transport regime by increasing the length of individual domains, thus adjusting the superlattice period. We also show that the quasiperiodicity can suppress coherent phonon transport in these superlattices. We attribute this behavior to the increased inhomogeneity in the distribution of interfaces, which increases for each Fibonacci generation, hindering coherent phonon transport in the superlattices. The suppression of coherent thermal transport enables a higher degree of control on heat conduction at the nanoscale, and shows potential for application in thermoelectric devices and heat management.
Firmware architecture of the back end DAQ system for the CMS high granularity endcap calorimeter detector
Authors: Mallios S. , Dauncey P. , David A. , Vichoudis P. 
Published: April 2022

Abstract
During the High-Luminosity phase of the Large Hadron Collider, the endcap calorimeter detectors of the compact muon solenoid experiment will be replaced by the high-granularity calorimeter. For reading out the new calorimeter, field programmable gate array firmware was developed targeting the off-detector hardware. The firmware is responsible not only for the readout of the detector but also for its slow control and timing. To facilitate system maintenance, the firmware is optimized to handle all the different front-end electronics configurations and data rates using a single — highly configurable — design. This manuscript presents the firmware architecture and the implementation.
Real analytic multi-parameter singular Radon transforms: Necessity of the Stein-Street condition
Authors: Zhang Lingxiao 
Published: April 2022

We study operators of the form

T
f
(
x
)
=
ψ
(
x
)
∫
f
(

γ
t

(
x
)
)
K
(
t
)

d
t
,

\begin{equation*} Tf(x)= \psi (x) \int f(\gamma _t(x))K(t)\,dt, \end{equation*}

where

γ
t

(
x
)

\gamma _t(x)

is a real analytic function of

(
t
,
x
)

(t,x)

mapping from a neighborhood of

(
0
,
0
)

(0,0)

in

R

N

×

R

n

\mathbb {R}^N \times \mathbb {R}^n

into

R

n

\mathbb {R}^n

satisfying

γ
0

(
x
)
≡
x

\gamma _0(x)\equiv x

,

ψ
(
x
)
∈

C
c
∞

(

R

n

)

\psi (x) \in C_c^\infty (\mathbb {R}^n)

, and

K
(
t
)

K(t)

is a “multi-parameter singular kernel” with compact support in

R

N

\mathbb {R}^N

; for example when

K
(
t
)

K(t)

is a product singular kernel. The celebrated work of Christ, Nagel, Stein, and Wainger studied such operators with smooth

γ
t

(
x
)

\gamma _t(x)

, in the single-parameter case when

K
(
t
)

K(t)

is a Calderón-Zygmund kernel. Street and Stein generalized their work to the multi-parameter case, and gave sufficient conditions for the

L
p

L^p

-boundedness of such operators. This paper shows that when

γ
t

(
x
)

\gamma _t(x)

is real analytic, the sufficient conditions of Street and Stein are also necessary for the

L
p

L^p

-boundedness of

T
T

, for all such kernels

K
K

.
Breedbase: a digital ecosystem for modern plant breeding
Authors: Morales Nicolas , Ogbonna Alex C , Ellerbrock Bryan J , Bauchet Guillaume J , Tantikanjana Titima , Tecle Isaak Y , Powell Adrian F , Lyon David , Menda Naama , Simoes Christiano C , Saha Surya , Hosmani Prashant , Flores Mirella , Panitz Naftali , Preble Ryan S , Agbona Afolabi , Rabbi Ismail , Kulakow Peter , Peteti Prasad , Kawuki Robert , Esuma Williams , Kanaabi Micheal , Chelangat Doreen M , Uba Ezenwanyi , Olojede Adeyemi , Onyeka Joseph , Shah Trushar , Karanja Margaret , Egesi Chiedozie , Tufan Hale , Paterne Agre , Asfaw Asrat , Jannink Jean-Luc , Wolfe Marnin , Birkett Clay L , Waring David J , Hershberger Jenna M , Gore Michael A , Robbins Kelly R , Rife Trevor , Courtney Chaney , Poland Jesse , Arnaud Elizabeth , Laporte Marie-Angélique , Kulembeka Heneriko , Salum Kasele , Mrema Emmanuel , Brown Allan , Bayo Stanley , Uwimana Brigitte , Akech Violet , Yencho Craig , de Boeck Bert , Campos Hugo , Swennen Rony , Edwards Jeremy D , Mueller Lukas A 
Published: April 2022

Abstract
Modern breeding methods integrate next-generation sequencing and phenomics to identify plants with the best characteristics and greatest genetic merit for use as parents in subsequent breeding cycles to ultimately create improved cultivars able to sustain high adoption rates by farmers. This data-driven approach hinges on strong foundations in data management, quality control, and analytics. Of crucial importance is a central database able to (1) track breeding materials, (2) store experimental evaluations, (3) record phenotypic measurements using consistent ontologies, (4) store genotypic information, and (5) implement algorithms for analysis, prediction, and selection decisions. Because of the complexity of the breeding process, breeding databases also tend to be complex, difficult, and expensive to implement and maintain. Here, we present a breeding database system, Breedbase (https://breedbase.org/, last accessed 4/18/2022). Originally initiated as Cassavabase (https://cassavabase.org/, last accessed 4/18/2022) with the NextGen Cassava project (https://www.nextgencassava.org/, last accessed 4/18/2022), and later developed into a crop-agnostic system, it is presently used by dozens of different crops and projects. The system is web based and is available as open source software. It is available on GitHub (https://github.com/solgenomics/, last accessed 4/18/2022) and packaged in a Docker image for deployment (https://hub.docker.com/u/breedbase, last accessed 4/18/2022). The Breedbase system enables breeding programs to better manage and leverage their data for decision making within a fully integrated digital ecosystem.