bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling of the optical response of two-dimensional hexagonal periodicity photonic structures with cylindrical inclusions with randomly rough surfaces that include dispersive LHM
Authors: Castillo-Gallardo V , Puente-Díaz L , Pérez-Aguilar H , Mendoza-Suárez A , Agarwal V 
Published: June 2019

Abstract
The interest to develop nanoscale devices is due to their ability to manipulate the optical properties through their structure. With an increasing interest in the recent decades, different types of Photonic Crystals (PC) have also been proposed. A PC is a periodically ordered material in which the refractive index is modulated. It has been shown in recent years that adding new materials to the structure of photonic crystals results in novel properties of these systems, which were originally conceived as composed of purely dielectric materials. One option is to consider this type of systems with dispersive Left-Handed Materials or metamaterials. The optical properties of the PCs depend on the type of periodicity, the geometry of the inclusions, the contrast of the refractive index and the filling fraction of the photonic structure. In this work, a numerical technique known as the Integral Equation Method was used to model the optical response of a two-dimensional photonic structure with a hexagonal lattice of cylindrical inclusions containing smooth and random rough surfaces that include dispersive LHM. It was obtained that the roughness of the inclusions modulates the optical response, in some cases varying the intensity and in others the direction of propagation. This property is very useful and has multiple applications in waveguides, filters, omnidirectional mirrors, beam splitters, etc.
Calculation of the Activation Energy for Super Plastic Flow in Zn-22Al Alloy
Authors: Muñoz-Andrade J.D. , Aguilar-Sánchez M. 
Published: June 2019

Abstract
The application of the unified physics is the way to understand the phenomenology and mechanics of super plastic flow (SPF). In this scenery, the main proposed in this work is to establish the effect of grain size and thermomechanical conditions on the activation energy for super plastic flow (Qspf) in Zn-22Al eutectoid alloy by applying the quantum mechanics and relativistic model (QM-RM) proposed by Muñoz-Andrade. Analyses on the experimental results reported before by some authors, it is shown for grain size of 0.35 μm that the calculated Qspf by using QM-RM for grain boundary sliding is 55.669 kJ/mol at 303 K and strain rate of 1 s−1. These results are in closed agreement with the value of Qa = 54 kJ/mol reported previously by using the theoretical and conventional methodology set up by Mohamed and Langdon. However, for grain size of 0.8μm, the calculated Qspf is 67.864 kJ/mol at 473 K and strain rate of 1×10−2 s−1. Furthermore, in order to understand the phenomenology and mechanics of SPF in Zn-22Al eutectoid alloy, the variation of the activation energy with the temperature; stress and strain rate is analyzed in association with coupled mechanisms during SPF, such as grain boundary sliding, cooperative grain boundary sliding and self-accommodation process related to the microstructure.
Photocatalytic degradation of Rhodamine B under UV irradiation over anatase TiO2:Ln3+ nanoparticles
Authors: Domínguez-Flores R , Palacios-Grijalva L N , Martínez A 
Published: June 2019

Abstract
TiO2:Ln3+ (Ln3+: Ce3+, Yb3+ and Sm3+) nanoparticles were prepared by solgel method under laboratory ambient conditions by using titanium tetraisopropoxide (C12H28O4Ti) as the TiO2 source and template, and the as-synthetized samples were characterized by XRD and UV-vis DRS techniques. XRD patterns shows that the as- prepared nanomaterials exhibit tetragonal anatase-phase. The photoactivity of the synthetized catalysts was tested in the photocatalytic degradation of a Rhodamine B solution exposed to the following radiation wavelenghts (254 nm, 350 nm, 365 nm, and 385 nm). UV-vis espectroscopy analysis of the samples was used to estimate the band gap energy of the samples.
Structure factor of colloidal magnetic fluid
Authors: Peredo-Ortíz R , Hernández-Contreras M 
Published: June 2019

Abstract
We determined with Langevin dynamics simulations the structure factor of a monodisperse ferrofluid as a function of the density of the suspension, and dipole strength in the particles valid for hard ferrofluids. The structure factor shows the transition from a liquid-like ordering of the particles at low density and dipole moment up to the formations of chain structures at high dipole strength. The collective diffusion coefficient shows a decaying dependence on the dipole moment magnitude for low density of colloid, however, at a high density, such a dependence gets reversed, and the diffusion increases with the dipole moment.
Application of dimensional analysis in the study of impact behaviour on tank truck structures
Authors: Vega-Ángeles A , Barrales-Guadarrama V R , Vargas-Arista B , Aguilar-Sánchez M , Barrales-Guadarrama R , Polo-Velázquez A 
Published: June 2019

AbstractNowadays, the analyses of impact of metallic structural elements of big dimensions are very expensive and dangerous due to the fact that the tests are destructive in nature and involve impact forces of the order of Meganewtons. That is the reason why searching for new alternatives that make these analyses easier and cheaper and that ensure the safety for those carrying the tests is necessary. No significative differences in the stress and strain of impact results were observed in a small scale from those obtained at full scale, if the laws for modeling of dimensional analysis are observed, in fact result differences were around 1%. We concluded that dimensional analysis can be applied when studying impacts of tank trucks because it made the analysis easier by reducing the number of factors to be considered and at the same time produced satisfactory results using scaling prototypes.
Rare-earth doped glasses and light managing in solar cells
Authors: Righini G.C. , Enrichi F. , Zur L. , Ferrari M. 
Published: June 2019

AbstractGlasses doped with rare earth elements possess unique photoluminescence properties. They find application in several devices, such as lasers, optical amplifiers, and sensors. More recently, rare-earth doped glass thin films have been the subject of investigation for the development of frequency-converting layers able to increase the efficiency of silicon solar cells. Another approach to the improvement of the performance of a solar cell is based on the capture of a larger flux of light by the detector, which can be obtained by surface texture, plasmonics, or waveguide structures. Here, the recent advances in this area will be briefly reviewed.
Maximum power for a power plant with n Carnot-like cycles
Authors: Aragón-González G , Barragán-Santiago I , Cano-Blanco M , León-Galicia A 
Published: June 2019

Abstract
A stationary power plant with n Carnot-like cycles is optimized. Each cycle has the following irreversibilities: finite rate heat transfers between the working fluid and the external heat sources, internal dissipation of the working fluid, and heat leak between reservoirs. In a previous work, a plant with two cycles of this type was optimized, with respect to the isentropic temperature ratio, applying the optimal allocation or effectiveness of the heat exchangers for the power plant by two design rules, alternatively: fixed internal thermal conductance or fixed areas. Also, in an above work the optimal allocation or effectiveness of the heat exchangers were extended to a power plant with n Carnot-like cycles. In this work, these optimal relations obtained are substituted in the power and the maximum power is calculated, with respect to the isentropic temperature ratios corresponding to each one of the Carnot-like cycles of the power plant with n Carnot-like cycles. Also, the efficiency to maximum power for both design rules is presented.
Analysis of the Performance in the Process of Solar Still using Textile Wastewater
Authors: Chávez S , Terres H , Lizardi A , López R , Monzalve R 
Published: June 2019

Abstract
In this work an analysis is realized on the performance of a solar distiller using textile wastewater from fiber dyeing processes. A solar still with shed was used, where 6 experimental tests were performed using Black B5, Blue 198 and Red 81, with and without auxiliary, for each test. Temperatures were measured on the cover of glass, container absorbent, fluid and environment. The incident solar radiation was obtained by means of modules ADAM and a pyranometer. The processing of the acquired information was done by means of the software LabVieW. An energy balance was established and the Dunkle’s thermal model was used to evaluate the thermal behavior of the solar distillation. The following values were o maximum values of 37.4 %, 25 % and 21.4 % for Black B5, Blue 198 and Red 81 without auxiliary respectively and 45.4 %, 34 % and 26.7 % for Black B5, Blue 198 and Red 81 with auxiliary respectively, in such a way that the efficiency increases when the textile wastewater contained auxiliary.
Precision Glass Molded Lenses Analysis via Null-Screen Test
Authors: Aguirre-Aguirre D , Díaz-Uribe R , Campos-García M , Villalobos-Mendoza B 
Published: June 2019

Abstract
This work shows a method to recover the shape of the precision glass molding surface via null-screen test. For the validation of the proposed method, we analyzed the ACL25416U condenser lens fabricated by Thorlabs. The results show that the conic constant, the radius of curvature and the aspheric deformation coefficients can be retrieved with good accuracy.
Numerical modelling of mechanical contact between dissimilar materials
Authors: Hernández-Mora L J , De la Vega Ibarra L A , Urriolagoitia-Sosa G , Romero-Ángeles B , Urriolagoitia-Calderón G M 
Published: June 2019

Abstract
Since the beginning of the last century, the mechanical contact has been studied by many researchers who could find some relations between the contact area and other factors like contact load. One of these researchers was Hertz whose investigations about mechanical contact between cylindrical solid bodies has been used since that time. It is well known that the most real results are results of experimental tests. However, in this case, the experimental tests have some inconvenients to be solved, one of these, is the incapability of determine the contact area or the contact pressure distribution. Some investigators have employed different devices in order to solve the problems mentioned before. Since the 2000 year some researchers have employed softwares with Finite Element Method, this method has shown to be a practical tool in the understanding of behaviour of the bodies under contact conditions. In this work the authors present analytical and numerical results of two bodies in contact. This contact involves two main parameters, one is the geometry of the bodies and the other is the composition of them. The results show a very good correspondence between the numerical and analytical results.
Multifractal Decompositions using Iterated Function Systems
Authors: del Río-Correa J L , López García J , Durán Meza G 
Published: June 2019

Abstract
We analyze two types of multifractal decompositions (MD) of fractals F generated by an Iterated Function System (IFS), they are the geometric and the statistical MD, the first is generated by an IFS and the second by an IFS with probability. In the first, F is decomposed in subsets M(φ) of points characterized by the same vector frequency φ, and we evaluate their Hausdorff dimension (HD). In the second, F is decomposed in subsets Jα of points with the same pointwise dimension α; however Jα is composed by an infinite subsets M(φ), therefore Jα is a multifractal, this implies that its HD is the maximum HD of its components M(φ), using a maximizing procedure we find φ∗ such that HD of M(φ∗) is greater than any other M(φ) for a fixed α, this procedure gives in a natural form the auxiliary functions proposed by Cawlin and Mauldin. Thus we present a more simple description of the MD.
Thermo-hydraulic analysis of the condenser (helically-coiled type) of an air-water heat pump, using CFD numerical simulation
Authors: López R , Vaca M , Terres H , Lizardi A , Chávez S , Rocha O , Meza E. 
Published: June 2019

Abstract
This paper presents the results obtained from the modeling of the flow and heat transfer in the condenser of the heat pump used for heating the water of a pool, by means of CFD analysis. Using the k-∈ turbulence model its real behavior was described; these data may be useful to propose the improvement of its thermal design. The distributions of temperature, pressure, and velocity, both for the water and the R-410A refrigerant were obtained. The value of the COP of the pump which was 7.6 was found through the results. The experimental value of this variable was 7.32, both values are lower than those offered by the manufacturer of this equipment.
Pressure wave equation far from thermodynamics equilibrium
Authors: Granados S. J. , Salazar M. J. , Toral R. A. , Tavera R. F. , Velázquez A. J.M. , Hernández L. R.T. , Cid R. A. , López G.G. , González R.A. 
Published: June 2019

Abstract
With the aim to model the propagation of sound pressure emitted by a source, based on the postulates of Far from equilibrium thermodynamics theory, a wave equation was constructed. The equation obtained is a classic generalized wave equation adding dissipative behavior as a function of the media in which wave propagates. The new equation is of Maxwell-Cattaneo-Vernotte type. Also, an experimental activity was realized and the results were in accordance with theoretical solution of the new differential equation.
ECG Classification Using Artificial Neural Networks
Authors: Rivera Sánchez F A , González Cervera J A 
Published: June 2019

Abstract
We propose two Artificial Neural Networks (ANN) architectures for classification of electrocardiogram (ECG) signals to compare effectiveness between them. The atrial fibrillation (AF) classification data set provided by PhysioNet/CinC Challenge 2017 was used. The ANNs proposed are a feed forward neural network (FFNN) and a convolutional neural network (CNN). In order to train the convolutional neural network we transformed the ECG signals to images. The convolutional neural network overcomes the other by reaching an average accuracy of 97.6% in prediction set.
Importance of patient radiation protection in computed tomography procedures
Authors: Lara A , Osorio M , Olvera B , Villafañez Y O , García R , Rivera T 
Published: June 2019

Abstract
The aim of the present work was to describe the importance of establishing a strong patient radiation protection program in computed tomography (CT) departments. Radiation protection in computed tomography (CT) deserves special attention since CT is the largest contributor to patient radiation exposure in diagnostic radiology. Radiation protection in CT examinations has been recommended by international organizations as well as AIEA program. As part of our proposals is the dose reduction in CT systems used, ALARA principle application and the enshrined the international guide regulations for the protection of patients were based on. For our staff working with ionizing radiation in CT departments is supervised under national authorities by legal limits but for patient radiation protection has not been involved in the national legislation.
Proposals for highlighting broken bones in radiological images using image processing in LabVIEW
Authors: García-Estrada H. , Linares-Escobar O.A. , Pastrana-Manzanero A. , Ramírez-Sotelo M.G. , Cabrera-Llanos A.I. 
Published: June 2019

Abstract
In this work, two proposals for highlighting broken bones in radiological images using different methodologies are presented. The first one, works using border detection while the second one, by extracting the cortical section of the bone. For border detection, first derivate operators (Sobel) were applied, to obtain the intensity changes in the image borders, applying the operators vertically and horizontally and adding them to get a general gradient image. Afterwards, the general gradient image is binarized and subtracted to the original image, leaving in black the zones that had borders. For cortical extraction, the image is binarized considering the healthy bone’s intensity value, next, the binarized image is subtracted from the original one eliminating the bones from the radiography, leaving the soft tissue and the bone’s interruptions, then, the image that contains the soft tissue was binarized an subtracted to the original one getting only the bone, eliminating the soft tissue and the bone’s interruptions, highlighting the broken bones.
Monte Carlo simulation and experimental evaluation of dose distributions produced by a 6 MV medical linear accelerator.
Authors: Durán-Nava O E , Torres-García E , Oros-Pantoja R , Hernández-Oviedo J O 
Published: June 2019

Abstract
The purpose of this work was to quantify the differences in dose distributions computed by Monte Carlo simulations against experimental measurements from an Elekta Synergy™ linear accelerator. The study was done using PRIMO, a PENELOPE-based Monte Carlo code. The dose calculation algorithm was compared under static field irradiations at 6 MV in a virtual water phantom for field sizes 10 × 10, 5 × 5 and 3 × 3 cm2. Experimental depth doses and profiles were obtained using a pair of CC13 iba® ionization chambers at a SSD = 100 cm in an iba Blue phantom™. Simulations and experimental data were compared in terms of point by point differences. Gamma analysis was also used in order to evaluate dose- differences and distance to agreement (2%, 2mm respectively) of calculated and experimental dose distributions. The evaluation of depth dose distributions indicated that differences increased by decreasing the field size. In all cases the mean dose difference was below 1%. Lateral profiles differences were also below 1% for all field sizes. Gamma analysis results were in an agreement of 99% for almost all the dose distributions for the chosen criteria. The performed Monte Carlo simulation using PRIMO showed good agreement compared to experimental measurements for both, depth dose and dose profiles for the evaluated fields sizes, largely used in commonly radiotherapy treatments.
Chinese blue days: a novel index and spatio-temporal variations
Authors: Wang Su , Huang Gang , Lin Jintai , Hu Kaiming , Wang Lin , Gong Hainan 
Published: June 2019

Abstract
As part of the Blue-Sky Protection Campaign, we develop the Chinese Blue Days Index based on meteorology data from 385 stations in China during 1980–2014. This index is defined as the days with no rain, low cloud cover ≤75th percentile, and visibility ≥15 km at 2 pm. The spatio-temporal variations and possible driving factors of Chinese Blue Days (CBD) are further investigated, revealing a steadily rising rate of 1.6 day (d)/10 year (y) for the nationally averaged CBD during 1980–2014. At regional scales, the CBD exhibit an increasing trend >4 d/10 y in western China and a decreasing trend <−2 d/10 y in southeastern China, northwestern Xinjiang, and Qinghai. The minimum/maximum trends (−7.5/9.5 d/10 y) appear in Yangtze–Huai River Valley (YHRV)/southwestern China (SWC). The interannual variations in CBD are highly related to wind speed and windless days in YHRV but are closely associated with wind speed, rainless days and relative humidity in SWC, suggesting that the two regions are governed by different meteorological factors. Moreover, a dynamic adjustment method called partial least squares is used to remove the atmospheric circulation-related CBD trend. The residual CBD contributions for the total trend in summer and winter are 43.62% and 35.84% in YHRV and are 14.25% and 60.38% in SWC. The result indicates that considerable parts of the CBD trend are due to the change of atmospheric circulation in the two regions.
Acceptability of older patients’ self-assessment in the Emergency Department (ACCEPTED)—a randomised cross-over pilot trial
Authors: Boucher Valérie , Lamontagne Marie-Eve , Lee Jacques , Carmichael Pierre-Hugues , Déry Julien , Émond Marcel 
Published: June 2019

Abstract

Background
patient self-assessment using electronic tablet could improve the quality of assessment of older Emergency Department(ED) patients. However, the acceptability of this practice remains unknown.

Objective
to compare the acceptability of self-assessment using a tablet in the ED to a standard assessment by a research assistant (RA), according to seniors and their caregivers.

Design
randomised crossover pilot study.

Setting
The Hôpital de l’Enfant-Jésus (CHU de Québec–Université Laval) (2018/05–2018/07).

Subjects
(1) ED patients aged ≥65, (2) their caregiver, if present.

Methods
participants’ frailty, cognitive and functional status were assessed with the Clinical Frailty scale, Montreal Cognitive Assessment, and Older American Resources and Services scale and patients self-assessed using a tablet. Test administration order was randomised. The primary outcome, acceptability, was measured using the Treatment Acceptability and Preferences (TAP) scale. Descriptive analyses were performed for sociodemographic variables. TAP scores were adjusted using multivariate linear regression. Thematic content analysis was performed for qualitative data.

Results
sixty-seven patients were included. Mean age was 75.5 ± 8.0 and 55.2% were women. Adjusted TAP scores for RA evaluation and patient self-assessment were 2.36 and 2.20, respectively (P = 0.08). Patients aged ≥85 showed a difference between the TAP scores (P < 0.05). Qualitative data indicates that this might be attributed to the use of technology. Data from nine caregivers showed a 2.42 mean TAP score for RA evaluation and 2.44 for self-assessment.

Conclusions
our results show that older patients believe self-assessment in the ED using an electronic tablet as acceptable as a standard evaluation by a research assistant. Patients aged ≥85 find this practice less acceptable.
Poetry and the War(s)
Authors: Begnal Michael S 
Published: June 2019

Abstract
Three new critical monographs remind us that, when it comes to war, poets have always been political. In their respective recent volumes, Tim Dayton, Rachel Galvin, and Adam Gilbert are concerned with the ways in which poets respond not only to war itself but also the ideology and propaganda that supports it, how their work resists or sometimes replicates these scripts, and the strategies they use to construct the poetic authority to address it. These critical texts, read together, reveal that resistance to hegemonic narratives is more complicated than simply writing an antiwar poem, that subverting the narratives of war requires some knowledge of how their sociopolitical and economic algorithms function to begin with. Dayton’s study offers a model of resistance to such narratives through its revealing juxtaposition of anachronistic or propagandistic poetic rhetoric with the true nature of and motives for the US’ participation in World War I. Galvin argues for the sociopolitical validity of the work of canonical modernist poets more recently disparaged as overly absorbed in aesthetic concerns. For Gilbert, poetry is an overlooked reservoir of knowledge bearing witness to the experience of US soldiers in the American War in Vietnam.