bluuebunny/crossref_metadata_2025_split huggingface dataset:
Plasma Hemoglobin and Red Blood Cell Mass Levels as Dynamic Prognostic Markers for Progression and Survival in Pancreatic Neuroendocrine Tumors
Authors: Halperin Reut , Ahron-Hananel Genya , Badarna Muhamad , Greidinger Dahlia , Uri Inbal , Percik Ruth , Tirosh Amit 
Published: December 2021

AbstractThere are scarce data on readily available markers enabling immediate risk stratification and personalized management in patients with advanced pancreatic neuroendocrine tumors. This study explores the association of red blood cells-related parameters as prognostic markers in patients harboring pancreatic neuroendocrine tumors. Retrospective analysis of a tertiary medical center database, acquiring data of patients with pancreatic neuroendocrine tumors including demographics, tumor-related parameters and consecutive imaging results, vital status at last follow-up, and red blood cells parameters at baseline, last follow-up, and dynamics (last/baseline ratio). Univariate and multivariable analyses were performed. Sixty-seven patients were identified (mean age at diagnosis of 63±11 years, 56.7% males). Patients with disease progression had lower hemoglobin, red blood cells mass values and hematocrit at the last evaluation (p<0.001 for all comparisons), with red blood cells mass level<3.9 m/μl and a 6% and 9% relative reduction in hemoglobin and hematocrit levels, respectively, associated with an increased risk for disease progression. Similarly, patients deceased during the study period had lower hemoglobin, red blood cells mass values and hematocrit (p<0.03 for all) than those alive, at last follow-up. Eleven percent reduction in hemoglobin level was noted indicating a higher mortality risk (p=0.04). Negative hemoglobin and hematocrit dynamics were independently associated with increased risk for disease progression (p=0.03 and 0.049, respectively). In conclusion, decrease in red blood cells mass, hemoglobin and/or hematocrit levels are all associated with poor prognosis in patients with pancreatic neuroendocrine tumors. We suggest utilizing these parameters as complementary follow-up prognostic markers to radiologic imaging in this patients population.
Serum Irisin and Diabetic Nephropathy in Patients with Diabetes Mellitus
Authors: Kawada Tomoyuki 
Published: December 2021

Dear Editor,I read the article by Wang et al., who conducted a meta-analysis to investigate the association between serum irisin levels and diabetic nephropathy (DN) in patients with type 2 diabetes mellitus (T2DM) 1. The mean serum irisin level in T2DM patients with microalbuminuria was significantly lower than that in T2DM patients with normoalbuminuria. In addition, the mean serum irisin level in T2DM patients with macroalbuminuria was significantly lower than that in T2DM patients with microalbuminuria. Furthermore, the mean serum irisin level in T2DM patients with estimated glomerular infiltration rate (eGFR)<60 ml/min 1.73 m2 was significantly lower than that in T2DM patients with eGFR≥60 ml/min 1.73 m2. The authors concluded that decreased serum irisin level was associated with albuminuria and reduced eGFR in T2DM patients. DN was significantly related to decreased serum irisin level in T2DM patients with dose-response manner. Progression of DN may be considered as advanced DM status, and serum irisin level would reflect glucose intolerance via insulin resistance. I have a comment about their study with special reference to the fundamental relationship between the types of DM and serum irisin levels.
Design of a homologous series of molecular glassformers
Authors: Wolf Sarah E. , Liu Tianyi , Govind Shivajee , Zhao Haoqiang , Huang Georgia , Zhang Aixi , Wu Yu , Chin Jocelyn , Cheng Kevin , Salami-Ranjbaran Elmira , Gao Feng , Gao Gui , Jin Yi , Pu Youge , Toledo Thiago Gomes , Ablajan Keyume , Walsh Patrick J. , Fakhraai Zahra 
Published: December 2021

We design and synthesize a set of homologous organic molecules by taking advantage of facile and tailorable Suzuki cross coupling reactions to produce triarylbenzene derivatives. By adjusting the number and the arrangement of conjugated rings, the identity of heteroatoms, lengths of fluorinated alkyl chains, and other interaction parameters, we create a library of glassformers with a wide range of properties. Measurements of the glass transition temperature (Tg) show a power-law relationship between Tg and molecular weight (MW), with of the molecules, with an exponent of 0.3 ± 0.1, for Tg values spanning a range of 300–450 K. The trends in indices of refraction and expansion coefficients indicate a general increase in the glass density with MW, consistent with the trends observed in Tg variations. A notable exception to these trends was observed with the addition of alkyl and fluorinated alkyl groups, which significantly reduced Tg and increased the dynamical fragility (which is otherwise insensitive to MW). This is an indication of reduced density and increased packing frustrations in these systems, which is also corroborated by the observations of the decreasing index of refraction with increasing length of these groups. These data were used to launch a new database for glassforming materials, glass.apps.sas.upenn.edu.
Spelling patterns of plural marking and learning trajectories in French taught as a foreign language
Authors: Weth Constanze , Ugen Sonja , Fayol Michel , Bîlici Natalia 
Published: December 2021

AbstractAlthough French plural spelling has been studied extensively, the complexity of factors affecting the learning of French plural spelling are not yet fully explained, namely on the level of adjectival and verbal plural. This study investigates spelling profiles of French plural markers of 228 multilingual grade 5 pupils with French taught as a foreign language.Three analyses on the learner performances of plural spelling in nouns, verbs and pre- and postnominal attributive adjectives were conducted (1) to detect the pupils’ spelling profiles of plural marking on the basis of the performances in the pretest, (2) to test the profiles against two psycholinguistic theories, and (3) to evaluate the impact of the training on each spelling profile in the posttest.The first analysis confirms the existing literature that pupils’ learning of French plural is not random but ordered and emphasizes the role of the position for adjectives (pre- or postnominal) on correct plural spelling. The second analysis reveals the theoretical difficulties of predicting spelling of adjectival and verbal plural. The third analysis shows that strong and poor spellers both benefit from a morphosyntactic training and provides transparency and traceability of the learning trajectories.Together, the descriptive analyses reveal clear patterns of intra-individual spelling profiles. They point to a need for further research in those areas that have empirically provided the most inconsistent results to date and that are not supported by the theories: verbs and adjectives.
Soft matter research in India
Authors: Bandyopadhyay Ranjini , Horbach Jürgen 
Published: December 2021

Abstract
Research on soft matter and biological physics has grown tremendously in India over the past decades. In this editorial, we summarize the twenty-three research papers that were contributed to the special issue on Soft matter research in India. The papers in this issue highlight recent exciting advances in this rapidly expanding research area and include theoretical studies and numerical simulations of soft and biological systems, the synthesis and characterization of novel, functional soft materials and experimental investigations of their complex flow behaviours.
Spectral stability of pattern-forming fronts in the complex Ginzburg–Landau equation with a quenching mechanism
Authors: Goh Ryan , de Rijk Björn 
Published: December 2021

Abstract
We consider pattern-forming fronts in the complex Ginzburg–Landau equation with a traveling spatial heterogeneity which destabilises, or quenches, the trivial ground state while progressing through the domain. We consider the regime where the heterogeneity propagates with speed c just below the linear invasion speed of the pattern-forming front in the associated homogeneous system. In this situation, the front locks to the interface of the heterogeneity leaving a long intermediate state lying near the unstable ground state, possibly allowing for growth of perturbations. This manifests itself in the spectrum of the linearisation about the front through the accumulation of eigenvalues onto the absolute spectrum associated with the unstable ground state. As the quench speed c increases towards the linear invasion speed, the absolute spectrum stabilises with the same rate at which eigenvalues accumulate onto it allowing us to rigorously establish spectral stability of the front in

L

2

(

R

)

. The presence of unstable absolute spectrum poses a technical challenge as spatial eigenvalues along the intermediate state no longer admit a hyperbolic splitting and standard tools such as exponential dichotomies are unavailable. Instead, we projectivise the linear flow, and use Riemann surface unfolding in combination with a superposition principle to study the evolution of subspaces as solutions to the associated matrix Riccati differential equation on the Grassmannian manifold. Eigenvalues can then be identified as the roots of the meromorphic Riccati–Evans function, and can be located using winding number and parity arguments.
On the group of isometries of planar IFS fractals*
Authors: Deng Qi-Rong , Yao Yong-Hua 
Published: December 2021

Abstract
For any iterated function system (IFS) on

R

2

, let K be the attractor. Consider the group of all isometries on K. If K is a self-similar or self-affine set, it is proven that the group must be finite. If K is a bi-Lipschitz IFS fractal, the necessary and sufficient conditions for the infiniteness (or finiteness) of the group are given. For the finite case, the computation of the size of the group is also discussed.
Continuity of sub-additive topological pressure with matrix cocycles
*
Authors: Zou Rui , Cao Yongluo , Zhao Yun 
Published: December 2021

Abstract
Let A = {A
1, A
2, …, A

k
} be a finite collection of contracting affine maps, the corresponding pressure function P(A, s) plays the fundamental role in the study of dimension of self-affine sets. The zero of the pressure function always give the upper bound of the dimension of a self-affine set, and is exactly the dimension of ‘typical’ self-affine sets. In this paper, we consider an expanding base dynamical system, and establish the continuity of the pressure with the singular value function of a Hölder continuous matrix cocycle. This extends Feng and Shmerkin’s result in (Feng and Shmerkin 2014 Geom. Funct. Anal.
24 1101–1128) to a general setting.
1D reconfigurable bistable photonic device composed of phase change material for detection of reproductive female hormones
Authors: Aly Arafa H , Awasthi S K , Mohamed Asmaa M. , Al-Dossari M. , Matar Z. S. , Mohaseb M. A. , El-Gawaad N S Abd , Amin A. F. 
Published: December 2021

Abstract
In this manuscript one-dimensional (1D) photonic biosensor (PQ)
N

GDG(PQ)
N
composed of phase change material (PCM) germanium antimony telluride (GST) has been studied in visible region of electromagnetic spectrum. This design is capable of label free recognition of reproductive hormones of female which are significant during reproductive process such as menstruation and parturition. The proposed structure is composed of an air cavity separated by two buffer layers of GST material. The GST buffer layers have been used to improve the sensing performance of the structure. The modified cavity associated with buffer GST layers is sandwiched between two 1D photonic structures (PS) (PQ)
N
. Both 1D PS are consisted of alternate material layers of SiO2 and Si of period 5. The transmission spectra of proposed design have been obtained by using transfer matrix method and MATLAB software. In this work the performance of the devise has been investigated for normal and oblique incidence corresponding to TE wave only under the influence of change of phases of GST. The mainstay of this research is focused on the tunable performance of proposed bio-sensing design due to switching between amorphous phase (aGST) and crystalline phase (cGST) of GST. Moreover how the change in the thickness of cavity region as well as angle of incidence corresponding to TE wave affects the performance of the design has also been studied. The sensitivity, quality factor and figure of merit values of the design have also been studied to get deep insight about the sensing capabilities of the proposed design under the influence of crystalline and amorphous phases of GST. Thus due to simple architecture and excellent switchable and reconfigurable characteristics, our structure works efficiently in industrial and biomedical refractive index based sensing applications.
Exploring the early Universe with Gaia and Theia
Authors: Garcia-Bellido Juan , Murayama Hitoshi , White Graham 
Published: December 2021

Abstract
It has recently been pointed out that Gaia is capable of detecting a stochastic gravitational wave background in the sensitivity band between the frequency of pulsar timing arrays and LISA. We argue that Gaia and Theia have great potential for early universe cosmology, since such a frequency range is ideal for probing phase transitions in asymmetric dark matter, SIMP and the cosmological QCD transition. Furthermore, there is the potential for detecting primordial black holes in the solar mass range produced during such an early universe transition and distinguish them from those expected from the QCD epoch. Finally, we discuss the potential for Gaia and Theia to probe topological defects and the ability of Gaia to potentially shed light on the recent NANOGrav results.
Contributions from primordial non-Gaussianity and general relativity to the galaxy power spectrum
Authors: Martinez-Carrillo Rebeca , Hidalgo Juan Carlos , Malik Karim A. , Pourtsidou Alkistis 
Published: December 2021

Abstract
We compute the real space galaxy power spectrum, including the leading order effects of General Relativity and primordial non-Gaussianity from the f
NL and g
NL parameters. Such contributions come from the one-loop matter power spectrum terms dominant at large scales, and from the factors of the non-linear bias parameter b
NL (akin to the Newtonian b
ϕ). We assess the detectability of these contributions in Stage-IV surveys. In particular, we note that specific values of the bias parameter may erase the primordial and relativistic contributions to the configuration space power spectrum.
Autonomous identification of high-contact surfaces from convolutional neural networks
Authors: Alonso Angie , Peña Andres , Martínez Fredy 
Published: December 2021

Abstract
The rapid spread of the SARS-CoV-2 virus has highlighted many social interaction problems that favor the spread of disease, particularly airborne spread, which can be addressed by adjusting existing systems. Of particular interest are places where large numbers of people interact, as they become a focus for the spread of these diseases. This paper proposes and evaluates an autonomous identification scheme for certain surfaces considered high risk due to their continuous handling. These high-contact surfaces can be identified by an autonomous system to apply specific cleaning tasks to them. We evaluate three convolutional models from a proprietary dataset with a total of 2000 images ranging from wall switches to water dispensers. The objective is to identify the ideal architecture for the system. The ResNet (Residual Neural Network), DenseNet (Dense Convolutional Network), and NASNet (Neural Architecture Search Network) models were selected due to their high performance reported in the literature. The models are evaluated with specialized metrics in non-binary classification problems, and the best scheme is selected for prototype development.
COMSOL modeling of the lightning-generated electric field distribution in a chain of insulators of a 115 kV power transmission line
Authors: Cadena A F , Mendoza J S , Ibáñez H F 
Published: December 2021

Abstract
The transmission lines installed in our city, to the outskirts of it and in the rest of the national territory produce a level of emissions of electric field, these levels vary depending on the physical disposition of the drivers, the distance between spans, the voltage level of the line, among others. These values must respect the exposure limits for individuals, as stipulated in Article 14 of RETIE. In this work will be developed a study of distribution of the electric field along a chain of insulators standard of tempered glass of a transmission line of 115 kV with the aid of the software COMSOL Multiphysics, to the impact of an atmospheric discharge on the storage cable with the help of ATPDraw software, taking into account variations in the value of the earthing resistance of the structure. With the electric field distribution values obtained by means of simulations carried out in the COMSOL Multiphysics software, comparisons are made of the magnitude of the obtained field, taking as a reference the stable state of the system without condition of pollutants. Initially a simulation of a transmission line of 115 kV is performed in the ATPDraw software, analyzing the lightning impulse generated on the guard cable, at different values of grounding resistance, to determine the waveform and reached value of overvoltage in the insulator chain. Then the overvoltage signal obtained with the help of ATPDraw software is recreated in the COMSOL Multiphysics software, to be able to visualize the distribution and behavior of the electric field along the chain, taking into account the different factors involved in the process, pollutants such as salinity, themes such as travelling waves etc. and thus determine possible line isolation failures by comparing the values achieved by simulating in COMSOL Multiphysics with respect to the CFO of the insulator chain.
Computational Tool for Determining the Model in Sequence Components of Overhead Transmission Lines
Authors: Guerrero Luis Imbachi , Rubio Fredy Jiménez , Barrera Mario Rodríguez , Ramírez Diego Giral 
Published: December 2021

Abstract
An indispensable element in addressing the current problem of non-ionizing electromagnetic pollution in the environment is a review of the levels of exposure to the electric and magnetic fields produced by the lines of electric power transmission and distribution systems. In order to establish the exposure levels, it is necessary to determine the model of the lines. Considering that a computational simulation is a helpful tool for power system analysis, this article presents a computational tool developed in Matlab App Designer for the model-in-sequence components of the parameters that make up a transmission line. This tool allows the user to work in a friendly and parameterizable environment according to the performed tests. In order to verify the tool’s performance, two case studies are implemented. The first one is for a transposed transmission line and the second one for a non-transposed transmission line. The results obtained are compared with commercial software, acquiring a maximum error of 0.16402 %.
Optimal Power Dispatch of Dispersed Sources in Direct-Current Networks with Nonlinear Loads
Authors: Montoya O. D. , Garrido V.M. , Grisales-Noreña L.F. 
Published: December 2021

Abstract
The problem of the optimal power dispatch of dispersed generators in direct-current networks under the presence of nonlinear loads (constant power terminals) is addressed through a combinatorial optimization strategy by using a master-slave solution methodology. The optimal power generation in the dispersed is solved in the master optimization stage through the application of the vortex-search algorithm. Each combination of the power outputs at the dispersed generation sources is provided to a power flow methodology known as the hyperbolic power flow approach for direct current networks. The main advantage of the proposed optimization method corresponds to the possibility of solving a complex nonlinear programming problem via sequential quadratic programming, which can be easily implemented at any programming language with low computational effort and high-quality results. The computational tests of the master-slave optimization proposal are evaluated in a 21-bus system, and the numerical results are compared with the implementation of the exact nonlinear programming model in the General Algebraic Modeling System (i.e., GAMS). All the computational results are conducted through the MATLAB programming environment licensed by Universidad Tecnologica de Pereira for academic usage.
Case study on application of digital radiography in cable
Authors: Xie Yi , Liu Jianjun , Feng Chao , Zhang Jun , Liu Sanwei , Chen Dabing 
Published: December 2021

Abstract
Because of the frequent occurrence of power cable fault, rapid and accurate fault diagnosis is an important subject in this field. In this paper, the DR detection cases of cables and related components with different voltage levels are described and analyzed based on the research work of radiographic detection carried out by our research group in the field of cables and their accessories in the recent three years. The results show that the technology can effectively detect and analyze the internal damage of cable outer breaking point, the ablative defect of cable buffer layer, the size and position deviation of cable joint. Due to the large number of cable layers and material types, the paper also gives some solutions to the problem of shielding copper core and some examples of abnormal image identification. Cable ontology, cable joints and other accessories produced by different manufacturers have certain structural differences due to numerous processes and procedures. It is necessary to continue to carry out research on DR testing for cable engineering structural parts of different types, establish relevant standard comparison atlas and provide reference for the application of DR technology in the field of cable testing.
ITLCS Based on OpenCV Image Processing Technology
Authors: Gong Suning , Huan Zhiying , JI Mingmei , Chen Xinxin , Bao Yuanqiu 
Published: December 2021

Abstract
With the rapid growth of the number of motor vehicles in the city, traffic congestion is more serious every day, part of it is caused by the coding delay with the red light on, not real traffic jams, now we need a control system that can really change the traffic flow. In this paper, ITLCS (intelligent traffic signal control system) based on OpenCV image processing technology is proposed to adjust the timing of traffic signal according to road density, instead of setting a level that is balanced with other lanes, so that high-load traffic lanes can be used for a long time. The camera facing the roadway in the system takes pictures of the driving route, then takes pictures of the driving density of pedestrians and vehicles, and compares each image through processing technology, after the system is processed, the traffic light signal timing can be adjusted immediately, which greatly reduces the time spent on the inactive green light and can effectively deal with the traffic congestion problem.