bluuebunny/crossref_metadata_2025_split huggingface dataset:
Desmosterol suppresses macrophage inflammasome activation and protects against vascular inflammation and atherosclerosis
Authors: Zhang Xinbo , McDonald Jeffrey G. , Aryal Binod , Canfrán‐Duque Alberto , Goldberg Emily L. , Araldi Elisa , Ding Wen , Fan Yuhua , Thompson Bonne M. , Singh Abhishek K. , Li Qian , Tellides George , Ordovás-Montanes Jose , García Milian Rolando , Dixit Vishwa Deep , Ikonen Elina , Suárez Yajaira , Fernández-Hernando Carlos 
Published: November 2021

Significance
Previous work has shown that foamy macrophages accumulate desmosterol, a cholesterol biosynthetic intermediate. However, the participation of desmosterol in regulating the functions of cholesterol-laden macrophages in the physiological context of atherosclerosis has remained elusive. In this work, we selectively deplete desmosterol by overexpressing DHCR24, the enzyme that catalyzes the conversion of desmosterol into cholesterol, in myeloid cells and demonstrate that desmosterol content in atherosclerotic plaque macrophages controls their function and activation. Molecular analysis of macrophages isolated from lesions revealed that depletion of desmosterol increases the expression of interferon-regulated genes and genes associated with “classical” macrophage activation. Together, our work provides molecular insights into the intimate links between cholesterol metabolism and inflammatory responses of macrophages during atherogenesis.
Dynamic competition between a ligand and transcription factor NusA governs riboswitch-mediated transcription regulation
Authors: Chauvier Adrien , Ajmera Pujan , Yadav Rajeev , Walter Nils G. 
Published: November 2021

Significance
Transcriptional pausing by RNA polymerases (RNAPs) is critical for genetic regulation, yet how RNA structures modulate this universal process is poorly understood. Combining biochemical and single-molecule fluorescence approaches, we here uncover a dynamic interplay between nascent messenger RNA structure and transcription factor NusA in modulating transcriptional pausing. Transcription factor NusA binds highly reversibly to the elongation complex to fine-tune the transcription rate. We find that ligand-induced riboswitch folding within the RNAP exit channel promotes transcriptional pausing, whereas it prevents NusA recruitment to the paused elongation complex. Taken together, our data reveal a dynamic model of transcription factor trafficking mediated by RNA cotranscriptional folding, expanding our understanding of the general transcription process.
Low-symmetry nonlocal transport in microstructured squares of delafossite metals
Authors: McGuinness Philippa H. , Zhakina Elina , König Markus , Bachmann Maja D. , Putzke Carsten , Moll Philip J. W. , Khim Seunghyun , Mackenzie Andrew P. 
Published: November 2021

Significance
The strongly two-dimensional delafossite metals are among the highest-purity compounds known. Their huge low-temperature electron mean free paths of up to 20 µm allow fabrication of devices in the ballistic regime, in which the characteristic device dimension is shorter than the average distance between scattering events. Unlike any previous case in which this regime has been reached, the faceting of the nearly hexagonal Fermi surfaces leads to extremely strong directional effects. Remarkably, in the ballistic regime, this results in the transport response of squares sculpted from delafossite crystals not showing full fourfold symmetry. Although seemingly counterintuitive, our observations are consistent with the overall symmetry of the device–Fermi surface combination and fully obey the Onsager–Büttiker relations for nonlocal transport.
Introduction to Healthcare for Russian-speaking Interpreters and Translators
Authors: Crezee Ineke H. M. , Hautekiet Johanna , Rura Lidia 
Published: November 2021

Health interpreters and translators often face unpredictable assignments in the multifaceted healthcare setting. This book is based on the very popular international publication (Crezee, 2013) and has been supplemented with commonly asked questions and glossaries in Russian. Just like the 2013 textbook, this practical resource will allow interpreters and translators to quickly read up on healthcare settings, familiarizing themselves with anatomy, physiology, medical terminology and frequently encountered medical conditions, diagnostic tests and treatment options.

This is an exceptionally useful and easily accessible handbook, in particular for interpreters, translators, educators and other practitioners working between Russian and English.
Russian-speakers represent a rich and diverse range of historical, religious and cultural traditions. This book covers some of those, while also describing the Russian health system, and touching on cultural beliefs and natural medicine approaches.
This unique book is an indispensable vade mecum (‘go with me’) for anyone wanting to navigate language access involving speakers of Russian in the health setting.
Rolling bearing performance degradation assessment based on singular value decomposition-sliding window linear regression and improved deep learning network in noisy environment
Authors: Dong Shaojiang , Li Yang , Zhu Peng , Pei Xuewu , Pan Xuejiao , Xu Xiangyang , Liu Lanhui , Xing Bin , Hu Xiaolin 
Published: November 2021

Abstract
It is difficult to evaluate the degradation performance and the degradation state of a rolling bearing in noisy environment. A new method is proposed to solve the problem based on singular value decomposition (SVD)-sliding window linear regression and ResNeXt–multi-attention mechanism’s deep neural network (RMADNN). Firstly, the root mean square (rms) gradient value is calculated on the basis of rms based on SVD and sliding window linear regression, which is used as the rolling bearing performance degradation indicator in noisy environment. Secondly, the degradation state of the rolling bearing is divided by the rms gradient. Thirdly, for the deep learning network model, the soft attention mechanism is introduced into the bidirectional long short-term memory network to extract more important and deep fault features. At the same time, the ResNeXt layer is added into the convolutional neural network to extract more fault features and merge them through multi-scale grouped convolution. The hybrid domain attention mechanism (HDAM) is introduced after the ResNeXt layer. The HDAM can screen out more important features from the output features of the ResNeXt in the two dimensions of channel and spatial which demonstrates the improved deep learning network of the RMADNN. Finally, the labeled data set is input into the improved model for training, and the Softmax classifier is used to identify the life degradation state of the rolling bearing. Through the verification of multiple test data sets, the results show that the method proposed in this research is very effective on the rolling bearing performance degradation assessment.
Carbon monoxide gas sensor based on an α-Fe2O3/reduced graphene oxide quantum dots composite film integrated Michelson interferometer
Authors: He Sijie , Liu Yushan , Feng Wenlin , Li Bangxing , Yang Xiaozhan , Huang Xinyue 
Published: November 2021

Abstract
A carbon monoxide (CO) sensor based on a Michelson interferometer combined with α-Fe2O3/reduced graphene oxide quantum dots (rGOQDs) composite film is proposed and fabricated. First, a waist-enlarged taper is formed between the single-mode fiber (SMF) and the no-core fiber (NCF), then the other end of the NCF is spliced with a section of thin-core fiber (TCF). The end of the TCF is coated with a layer of silver film to enhance the reflection. Thus, a Michelson interferometer comprising SMF–NCF–TCF is formed. The α-Fe2O3/rGOQDs composite film is deposited on the outside surface of the TCF. The specific adsorption of CO by the composite film leads to a change in the sensor’s effective refractive index, realizing the detection of CO. The results show that the interference intensity of the monitoring valley decreases with increase in the concentration of CO. The sensitivity of the sensor is 0.057 dBm ppm−1, the detection limit of the sensor is 105 ppb and the response time and recovery time are 70 s and 100 s, respectively. The sensor has the advantages of high sensitivity, high selectivity and simple structure, and it is expected to be used for the detection of low concentrations of CO gas.
Research on plasma electron density distribution based on microwave diffraction
Authors: Zhao Chengwei , Li Xiaoping , Liu Yanming , Liu Donglin , Sun Chao , Ma Gelu , Tian Lishan , Bao Weimin 
Published: November 2021

Abstract
In this paper, a noncontact plasma microwave diffraction measurement method is proposed, which can obtain the electron density at different diameters of the cylindrical plasma. There is a lot of diffraction when a non-focused antenna is used to transmit plasma. As is well known, when the frequency of the incident microwave is lower than the characteristic frequency of the plasma, the microwave cannot be transmitted through the plasma, so this interface can be regarded as a metal. According to the microwave diffraction of the plasma, the size of the plasma corresponding to the characteristic frequency can be obtained. Furthermore, by sweeping the incident electromagnetic wave, the size of plasma with different characteristic frequencies can be obtained, and the distribution of electron density can be obtained. To verify the method, a cylindrical plasma was measured by microwave diffraction, in which the electron density of the plasma column gradually decreased along with the increase in radius. According to the diffraction of the plasma column at different frequencies, the distribution of the electron density along the diameter is obtained. In order to verify the distribution results, a Langmuir probe was used for diagnosis in a similar propagation path. The two diagnosis methods have a diagnosis deviation of less than 60%. Finally, the accuracy of diffraction diagnosis is given, and the next step to improve the accuracy of the diagnosis is given. In extremely high temperature, regular shape, nonuniformly distributed plasma, microwave diffraction diagnosis has a wider range of applications.
A search for the variation of speed of light using galaxy cluster gas mass fraction measurements
Authors: Mendonça I.E.C.R. , Bora Kamal , Holanda R.F.L. , Desai Shantanu , Pereira S.H. 
Published: November 2021

Abstract
In this paper, we implement a new method to test the invariance of the speed of light (c) as a function of redshift, by combining the measurements of galaxy cluster gas mass fraction, H(z) from cosmic chronometers, and Type-Ia supernovae (SNe Ia). In our analyses, we consider both a constant depletion factor (which corresponds to the ratio by which the cluster gas mass fraction is depleted with respect to the universal baryonic mean) and one varying with redshift. We also consider the influence of different H
0 estimates on our results. We look for a variation of c, given by c(z) = c
0(1+c
1
z). We find a degeneracy between our final results on c variation and the assumptions on the gas mass fraction depletion factor. Most of our analyses indicate negligible variation of
the speed of light.
Reconciling hints on axion-like-particles from high-energy gamma rays with stellar bounds
Authors: Gautham A.P. , Calore Francesca , Carenza Pierluca , Giannotti Maurizio , Horns Dieter , Kuhlmann Julian , Majumdar Jhilik , Mirizzi Alessandro , Ringwald Andreas , Sokolov Anton , Stief Franziska , Yu Qixin 
Published: November 2021

Abstract
It has been recently claimed by two different groups that the spectral modulation observed in gamma rays
from Galactic pulsars and supernova remnants can be due to conversion of photons into ultra-light axion-like-particles (ALPs) in large-scale Galactic magnetic fields.
While we show the required best-fit photon-ALP coupling, gaγ
∼ 2 × 10-10 GeV-1, to be consistent with constraints from observations of photon-ALPs mixing in vacuum, this is in conflict with other bounds, specifically from the CAST solar axion limit, from the helium-burning lifetime in globular clusters, and from the non-observations of gamma rays in coincidence
with SN 1987A. In order to reconcile these different results, we propose that environmental effects in matter would suppress the ALP production in dense astrophysical plasma, allowing to relax previous bounds and make them compatible with photon-ALP conversions in the low-density Galactic medium. If this explanation is correct, the claimed ALP signal would be on the reach of next-generations laboratory experiments such as ALPS II.
Validation of a full-plasma integrated modeling approach on ASDEX Upgrade
Authors: Luda T. , Angioni C. , Dunne M.G. , Fable E. , Kallenbach A. , Bonanomi N. , Lunt T. , Schneider P.A. , Siccinio M. , Tardini G. , the ASDEX Upgrade Team  , the EUROfusion MST1 Team  
Published: November 2021

Abstract
In this work we present the extensive validation of a refined version of the integrated model based on engineering parameters (IMEP) introduced in reference (Luda et al 2020 Nucl. Fusion
60 036023). The modeling workflow is now fully automated, computationally faster thanks to the reduced radial resolution of the TGLF calculation, and it includes the modeling of the toroidal rotation, which was still taken from experimental measurements in our previous work. The updated model maintains the same accuracy as its previous version when tested on the cases presented in the initial publication. The confined plasma, from the magnetic axis to the separatrix, is simulated without using any experimental information from profiles measurements, and the inputs of IMEP are the same engineering parameters used when programming a plasma discharge. The model validation database consists of 50 ASDEX Upgrade (AUG) stationary (over a few energy confinement time) H-mode phases, which largely cover the entire AUG operational domain. The prediction of IMEP is compared with experimental measurements and with scaling laws, such as the IPB98(y,2), the ITPA20-IL, and AUG specific regressions. This modeling framework has proven to be very accurate over the entire set of 50 cases, with a significantly lower mean relative error with respect to each of the scaling laws considered, accurately reproducing the change in pedestal and core confinement caused by a change in plasma current, heating power, fueling rate, triangularity, magnetic field, NBI voltage (i.e. the effect of a change in the core particle source), and heating mix (e.g. correctly predicting the effect on confinement caused by a change in T
e/T
i). Plasma confinement is correctly described by IMEP also for two particular operating regimes, such as the ITER baseline scenario, and the QCE regime (quasi continuous exhaust, also referred as type-II and small ELMs). This work clearly demonstrates the power of this approach in pulling out physics mechanisms to interpret subtle interdependencies and that a 1D integrated model can reproduce experimental results over very large parameter variations with a higher accuracy than any statistical regression. This approach has therefore the potential to improve the prediction of the fusion performance in future tokamak reactors.
Pandemic spread in communities via random graphs
Authors: Minzer Dor , Oz Yaron , Safra Muli , Wainstain Lior 
Published: November 2021

Abstract
Working in the multi-type Galton–Watson branching-process framework we analyse the spread of a pandemic via a general multi-type random contact graph. Our model consists of several communities, and takes, as input, parameters that outline the contacts between individuals in distinct communities. Given these parameters, we determine whether there will be an outbreak and if yes, we calculate the size of the giant-connected-component of the graph, thereby, determining the fraction of the population of each type that would be infected before it ends. We show that the pandemic spread has a natural evolution direction given by the Perron–Frobenius eigenvector of a matrix whose entries encode the average number of individuals of one type expected to be infected by an individual of another type. The corresponding eigenvalue is the basic reproduction number of the pandemic. We perform numerical simulations that compare homogeneous and heterogeneous spread graphs and quantify the difference between them. We elaborate on the difference between herd immunity and the end of the pandemic and the effect of countermeasures on the fraction of infected population.
First bioimpedance assessment for detecting effects caused by environmental stimuli on Grapevine ( Vitis vinifera L.): preliminary results
Authors: Barboni Leonardo , Fourment Mercedes , Tachini Ramiro , Mart´ınez Mauro , Quero Gaston , Dell’Osa Antonio H. 
Published: November 2021

Abstract
Plants comprise biological tissues where bioimpedance could be measured. Changes in values of these impedance parameters within tissues are the result of changes in the chemical composition of the sap, cellular depolarization, and ion transport in response to external stimuli such as water availability, diseases, and photosynthesis activity, among others. Therefore, the environmental effects on the plant change its morphology and physiology would be related to bioimpedance. In this way, bioimpedance could become a novel and powerful technique used to analyze, in-situ and in real-time, the physiologic activity and status. In this study, we assess the Evaluation Board AD5933EBZ as a bioimpedance low-cost measurement device to perform observations of module and phase of the bioimpedance, aimed to correlate them with the effects of environmental stimuli such as irrigation, CO2 concentration, sun exposure and temperature level in the grapevine.
Development of electronic modules for their integration with impedimetric transducers applied to sarcosine detection
Authors: Perez-Nava A , Vallejo-Becerra V , Fernández-Puig S , Oza G , Herrera-Celis J 
Published: November 2021

Abstract
The development of fast, simple, sensitive, and minimally invasive biosensors for detecting diseases, conventionally need specialized, expensive, and highly invasive instrumentation. Furthermore, such biosensors pertinently also, need the development of optoelectronic modules that are capable of implementing specific detection techniques while interacting with the user through a friendly interface. This work highlights the development of a system whose hardware and software contributes to the detection of analytes by impedimetric sensors, especially emphasizing on the detection of sarcosine, a natural amino acid associated with prostate cancer (PCa). Dummy circuits coupled with impedimetric transducers were used to perform precise measurements using a sinusoidal signal of 20 mV in the range from 0.1 Hz to 1 MHz.
Wireless connection of bioimpedance measurement circuits based-on AD5933: a state of the art
Authors: Apátiga D , Suárez K , Ramírez-Barrios M , Dell’Osa A H 
Published: November 2021

Abstract
This contribution describes the state of the art in bioimpedance measurements through development boards to build portable devices that perform in-situ measurements and potential technological opportunities to separate the AD5933 integrated circuit from a PC. The presented research is based on prototypes developed with the aim of achieving portability with the AD5933 integrated circuit and it includes different wireless connection methods and a varied software design for the acquisition, visualization and storage of data obtained from biological systems. As a result, this work describes twenty articles that perform wireless connectivity using different microprocessors for different applications. These references seek to explore technological trends, deficiencies, and opportunities for future development projects in telemedicine.
Estimation of Cole Parameters in ex-vivo tissues as a function of degradation time
Authors: López N , García D , González-Correa C A , González-Díaz C A 
Published: November 2021

Abstract
Bioimpedance spectroscopy has been used to evaluate and characterize the integrity of different tissues and organs, as well as to detect tissue structural alterations. The tissue electrical model alterations as an influence of the anisotropy of the tissue structure and its intrinsic metabolism on the degradation dynamic have not been completely understood. In this work, the dynamic of Cole parameters was estimated as a function of degradation time in ex vivo skeletal muscle, skin, and white adipose tissues. The results indicate a non-linear behavior function of the Cole parameters through degradation progress in the three evaluated tissues, and such non-linearities might be associated with different capacities of adaptation to anaerobic metabolism, energy production, and water content under stress conditions.
Software for Gene-Biosensor based on PCR and Electrical Bioimpedance
Authors: Castillo-Salazar I A , Ames-Lastra G , Sacristán-Rock E , Hernández-Nava A , González-Díaz C A 
Published: November 2021

Abstract
Gene detection by the use of bioimpedance measurements is an emerging technical proposal from the last two decades. Our recent studies have shown the feasibility to use multifrequency bioimpedance to detect specific label-free Deoxyribonucleic Acids (DNA) sequence in the final product of Polymerase Chain Reaction (PCR). We have developed a gene-biosensor integrated by a thermocycler block for final point PCR process and a relative bioimpedance meter at every PCR cycle in the sample. The system demands a dynamic software for all gene-biosensor modules control. This work reports a control program design for a gene-biosensor based on PCR product and bioimpedance measurements, the general structural philosophy, operating routines and subroutines as well as its interaction with the hardware in every module are described. The program was designed on the basis of Python language version 3.8.3 with the support of the Visual Studio Code as Integrated Development Environment (IDE), and using Windows 10 as the operating system. Results indicate the control program allows a suitable governing of the bioimpedance meter and PCR thermocycler block, both as a well-integrated system. Bioimpedance and temperature measurements are in agreement with the control operating structural design. Additional amendments regarding an on-line monitoring system are warranted.
Bioimpedance plethysmography with capacitive electrodes and sole force sensors: comparative trial
Authors: Morales Isabel , González-Landaeta Rafael , Simini Franco 
Published: November 2021

Abstract
Foot impedance plethysmography was implemented using two types of electrodes (dry and capacitive) and sole force sensors. The latter are commonly used for assessing diabetic foot ulcers (DFU). For impedance plethysmography, a tetrapolar configuration has been used with three different plantar setups: four skin contact electrodes, four capacitive contact electrodes and two Force Sensing Resistors (FSRs). In this work, FSRs have been considered as possible capacitive electrodes because the top substrate contains interdigitating conductive electrodes and a semiconductive polymer. All the measurements have been performed using a 1 mA/10 kHz excitation current and have been tried under the feet of a standing person to detect impedance plethysmography signals. Contact electrodes allow a good cardiac pulse signal while capacitive contact through the socks features mains interferences. Force sensing resistors with their force-dependent resistance in parallel to the capacitive coupling, were not able to detect cardiac pulse. But promising results can be anticipated from these findings provided higher frequencies are used and larger sensor areas to help detect altered skin states in diabetic foot.