Publicaciones-scopus-2018

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RESÚMENES DE PUBLICACIONES SCOPUS 2018 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ARTICLES 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
β-catenin maintains lung epithelial progenitors after lung specification 
Ostrin E.J., Little D.R., Gerner-Mauro K.N., Sumner E.A., Rıós-Corzo R., Ambrosio E., Holt S.E., Forcioli-
Conti N., Akiyama H., Hanash S.M., Kimura S., Huang S.X.L., Chen J. 
Article 
The entire lung epithelium arises from SRY box 9 (SOX9)-expressing progenitors that form the 
respiratory tree and differentiate into airway and alveolar cells. Despite progress in understanding 
their initial specification within the embryonic foregut, how these progenitors are subsequently 
maintained is less clear. Using inducible, progenitorspecific genetic mosaic mouse models, we showed 
that β-catenin (CTNNB1) maintains lung progenitors by promoting a hierarchical lung progenitor gene 
signature, suppressing gastrointestinal (GI) genes, and regulating NK2 homeobox 1 (NKX2.1) and SRY 
box 2 (SOX2) in a developmental stage-dependent manner. At the early, but not later, stage post-lung 
specification, CTNNB1 cell-autonomously maintained normal NKX2.1 expression levels and suppressed 
ectopic SOX2 expression. Genetic epistasis analyses revealed that CTNNB1 is required for fibroblast 
growth factor (Fgf)/Kirsten rat sarcoma viral oncogene homolog (Kras)-mediated promotion of the 
progenitors. In silico screening of Eurexpress and translating ribosome affinity purification (TRAP)-
RNAseq identified a progenitor gene signature, a subset of which depends on CTNNB1. Wnt signaling 
also maintained NKX2.1 expression and suppressed GI genes in cultured human lung progenitors 
derived from embryonic stem cells. © 2018. Published by The Company of Biologists Ltd. 
Ostrin E.J., Little D.R., Gerner-Mauro K.N., Sumner E.A., Rıós-Corzo R., Ambrosio E., Holt S.E., Forcioli-Conti N., Akiyama H., 
Hanash S.M., Kimura S., Huang S.X.L., Chen J., (2018). β-catenin maintains lung epithelial progenitors after lung 
specification. Development (Cambridge), Vol. 145, ISSN: 9501991
γ-Aminobutyric Acid (GABA) produced by lactic acid bacteria in fermented 
foods 
Santos-Espinosa A., Manzanarez-Quin C.G., Reyes-Díaz R., Hernández-Mendoza A., Vallejo-Cordoba 
B., González-Córdova A.F. 
Article 
Lactic acid bacteria (LAB) are a group of microorganisms widely used for the production of fermented 
foods since they may confer flavor, aroma and texture to the products. In addition, numerous studies 
show that LAB produce bioactive compounds beneficial to health during the fermentation process, 
such as gamma- aminobutyric acid (?-aminobutyric acid, or GABA), which has demonstrated to have 
antihypertensive, antidepressant, hypoglycemic and relaxing effects, among others. In this review, it 
was found that Lactobacillus, Lactococcus and Streptococcus are the groups of bacteria that have 
exhibited the most GABA production, as compared to other LAB genera. On the other hand, it is worth 
mentioning that not all LAB strains display a high capacity to produce this compound, because it 
depends of several factors, such as glutamic-acid decarboxylase enzyme activity, presence of pyridoxal 
5'-phosphate as cofactor, and optimum bacteria growth conditions, as well as the concentration of 
glutamic acid in the food matrix, as well as fermentation time. On the other hand, cow milk contains a 
high concentration of glutamic acid; for this reason, various investigations have focused on assessing 
the GABA production in fermented dairy products such as yogurt, cheese and fermented milk. The 
antihypertensive effect has been one of the bioactivities most studied in dairy products containing 
GABA; nevertheless, considering the wide diversity of LAB species, more studies are necessary to put 
in evidence the potential of these bacteria to produce functional foods with benefits attributable to 
their GABA content. © 2018 Interciencia Association. All rights reserved. 
Santos-Espinosa A., Manzanarez-Quin C.G., Reyes-Díaz R., Hernández-Mendoza A., Vallejo-Cordoba B., González-Córdova 
A.F., (2018). γ-Aminobutyric Acid (GABA) produced by lactic acid bacteria in fermented foods [Ácido γ-Aminobutírico (GABA) 
producido por bacterias ácido lácticas en alimentos fermentados]. Interciencia, Vol. 43, pp. 175-181. ISSN: 3781844
3D bioprinting human induced pluripotent stem cell-derived neural tissues 
using a novel lab-on-a-printer technology 
De la Vega L., Gómez D.A.R., Abelseth E., Abelseth L., da Silva V.A., Willerth S.M. 
Article 
Most neurological diseases and disorders lack true cures, including spinal cord injury (SCI). Accordingly, 
current treatments only alleviate the symptoms of these neurological diseases and disorders. 
Engineered neural tissues derived from human induced pluripotent stem cells (hiPSCs) can serve as 
powerful tools to identify drug targets for treating such diseases and disorders. In this work, we 
demonstrate how hiPSC-derived neural progenitor cells (NPCs) can be bioprinted into defined 
structures using Aspect Biosystems' novel RX1 bioprinter in combination with our unique fibrin-based 
bioink in rapid fashion as it takes under 5 min to print four tissues. This printing process preserves high 
levels of cell viability (> 81%) and their differentiation capacity in comparison to less sophisticated 
bioprinting methods. These bioprinted neural tissues expressed the neuronal marker, βT-III (45 ± 
20.9%), after 15 days of culture and markers associated with spinal cord (SC) motor neurons (MNs), 
such as Olig2 (68.8 ± 6.9%), and HB9 (99.6 ± 0.4%) as indicated by flow cytometry. The bioprinted 
neural tissues expressed the mature MN marker, ChaT, after 30 days of culture as indicated by 
immunocytochemistry. In conclusion, we have presented a novel method for high throughput 
production of mature hiPSC-derived neural tissues with defined structures that resemble those found 
in the SC. © 2017 by the authors. 
De la Vega L., Gómez D.A.R., Abelseth E., Abelseth L., da Silva V.A., Willerth S.M., (2018). 3D bioprinting human induced 
pluripotent stem cell-derived neural tissues using a novel lab-on-a-printer technology. Applied Sciences (Switzerland), Vol. 8, 
ISSN: 20763417
3D Electrophoresis-Assisted Lithography (3DEAL): 3D Molecular Printing to 
Create Functional Patterns and Anisotropic Hydrogels 
Aguilar J.P., Lipka M., Primo G.A., Licon-Bernal E.E., Fernández-Pradas J.M., Yaroshchuk A., 
Albericio F., Mata A. 
Article 
The ability to easily generate anisotropic hydrogel environments made from functional molecules with 
microscale resolution is an exciting possibility for the biomaterials community. This study reports a 
novel 3D electrophoresis-assisted lithography (3DEAL) platform that combines elements from 
proteomics, biotechnology, and microfabrication to print well-defined 3D molecular patterns within 
hydrogels. The potential of the 3DEAL platform is assessed by patterning immunoglobulin G, 
fibronectin, and elastin within nine widely used hydrogels and characterizing pattern depth, resolution, 
and aspect ratio. Furthermore, the technique's versatility is demonstrated by fabricating complex 
patterns including parallel and perpendicular columns, curved lines, gradients of molecular 
composition, and patterns of multiple proteins ranging from tens of micrometers to centimeters in size 
and depth. The functionality of the printed molecules is assessed by culturing NIH-3T3 cells on a 
fibronectin-patterned polyacrylamide-collagen hydrogel and selectively supporting cell growth. 3DEAL 
is a simple, accessible, and versatile hydrogel-patterning platform based on controlled molecular 
printing that may enable the development of tunable, chemically anisotropic, and hierarchical 3D 
environments. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim 
Aguilar J.P., Lipka M., Primo G.A., Licon-Bernal E.E., Fernández-Pradas J.M., Yaroshchuk A., Albericio F., Mata A., (2018). 3D 
Electrophoresis-AssistedLithography (3DEAL): 3D Molecular Printing to Create Functional Patterns and Anisotropic 
Hydrogels. Advanced Functional Materials, Vol. 28, ISSN: 1616301X
3D Imaging Detection of HER2 Based in the Use of Novel Affibody-Quantum 
Dots Probes and Ratiometric Analysis 
Pérez-Treviño P., la Cerda H.H.-D., Pérez-Treviño J., Fajardo-Ramírez O.R., García N., Altamirano J. 
Article 
Patients with breast cancer (BC) overexpressing HER2 (HER2+) are selected for Trastuzumab 
treatment, which blocks HER2 and improves cancer prognosis. However, HER2+ diagnosis, by the gold 
standard, immunohistochemistry, could lead to errors, associated to: a) variability in sample 
manipulation (thin 2D sections), b) use of subjective algorithms, and c) heterogeneity of HER2 
expression within the tissue. Therefore, we explored HER2 3D detection by multiplexed imaging of 
Affibody-Quantum Dots conjugates (Aff-QD), ratiometric analysis (RMAFI) and thresholding, using BC 
multicellular tumor spheroids (BC-MTS) (~120 μm of diameter) as 3D model of BC. HER2+, HER2– and 
hybrid HER2+/− BC-MTS (mimicking heterogeneous tissue) were incubated simultaneously with two 
Aff-QD probes (anti-HER2 and negative control (NC), respectively, (1:1)). Confocal XY sections were 
recorded along the Z distance, and processed by automatized RMAFI (anti-HER2 Aff-QD/ NC). 
Quantifying the NC fluorescence allowed to predict the fraction of non-specific accumulation of the 
anti-HER2 probe within the thick sample, and resolve the specific HER2 level. HER2 was detected up to 
30 μm within intact BC-MTS, however, permeabilization improved detection up to 70 μm. Specific 
HER2 signal was objectively quantified, and HER2 3D-density of 9.2, 48.3 and 30.8% were obtained in 
HER2− HER2+ and hybrid HER2+/− permeabilized BC-MTS, respectively. Therefore, by combining the 
multiplexing capacity of Aff-QD probes and RMAFI, we overcame the challenge of non-specific probe 
accumulation in 3D samples with minimal processing, yielding a fast, specific spatial HER2 detection 
and objective quantification. © 2018 The Authors 
Pérez-Treviño P., la Cerda H.H.-D., Pérez-Treviño J., Fajardo-Ramírez O.R., García N., Altamirano J., (2018). 3D Imaging 
Detection of HER2 Based in the Use of Novel Affibody-Quantum Dots Probes and Ratiometric Analysis. Translational 
Oncology, Vol. 11, pp. 672-685. ISSN: 19365233
3D thickness map reconstruction of dielectric thin films using scattering of 
surface plasmon polaritons 
Garcia-Ortiz C.E., Cortes R., Orejel R., Hernandez-Aranda R., Martínez-López I., Aguilar F., Coello V. 
Article 
Thin films are key elements in the current development of nanotechnology, and their characterization 
has become an essential task. In this Letter, we report on a technique to reconstruct full 3D maps of 
dielectric thin films using the scattered light of decoupled surface plasmon polaritons. Patterned 
magnesium fluoride thin films were fabricated, and their 3D thickness map was fully reconstructed 
with high (<1 nm) precision. This technique can be applied and easily adjusted to identify 
inhomogeneities in wide areas (mm2 − cm2) of dielectric samples with subnanometer precision, or to 
characterize the fabrication processes involved in the preparation of patterned multilayered systems. 
© 2018 Optical Society of America. 
Garcia-Ortiz C.E., Cortes R., Orejel R., Hernandez-Aranda R., Martínez-López I., Aguilar F., Coello V., (2018). 3D thickness map 
reconstruction of dielectric thin films using scattering of surface plasmon polaritons. Optics Letters, Vol. 43, pp. 691-694. 
ISSN: 1469592
A 60 kDa prolactin variant secreted by cervical cancer cells modulates apoptosis 
and cytokine production 
De Arellano A.R., Leal A.R., Lopez-Pulido E.I., González-Lucano L.R., Barragan J.M., Del Toro Arreola S., 
García-Chagollan M., Palafox-Sánchez C.A., Muñoz-Valle J.F., Pereira-Suárez A.L. 
Article 
Prolactin (PRL) is associated with different types of cancer, such as cervical cancer. Recombinant PRL 
has anti-apoptotic effect on cervical cancer cells, and it can also induce cytokine production on 
macrophages. A 60 kDa variant of PRL is produced by cervical cancer cells. The aim of the present study 
was to evaluate this variant's bioactivity, to test its effect on cervical cancer cell apoptosis, and to 
assess its ability to induce cytokine production on THP-1 macrophages. First, 60 kDa PRL was isolated 
and used to stimulate Nb2 cells. Later, apoptosis was measured after exposure to 60 kDa PRL. Finally, 
cytokines were measured on THP-1 stimulated supernatants. Our results show that 60 kDa PRL 
increased Nb2 cell proliferation. Apoptosis was decreased after stimuli with 60 kDa PRL in cervical 
cancer cells. IL-1β and TNF-α are produced by THP-1 macrophages after stimuli. These results suggest 
that 60 kDa PRL produced by cervical cancer cells is able to reduce apoptosis in HeLa, SiHa and C-33A 
cells and induce IL-1β and TNF-α production by THP-1 macrophages. 
De Arellano A.R., Leal A.R., Lopez-Pulido E.I., González-Lucano L.R., Barragan J.M., Del Toro Arreola S., García-Chagollan M., 
Palafox-Sánchez C.A., Muñoz-Valle J.F., Pereira-Suárez A.L., (2018). A 60 kDa prolactin variant secreted by cervical cancer 
cells modulates apoptosis and cytokine production. Oncology Reports, Vol. 39, pp. 1253-1260. ISSN: 1021335X
A bi-objective formulation for robust defense strategies in 
multi-commodity networks 
McCarter M., Barker K., Johansson J., Ramirez-Marquez J.E. 
Article 
Characterizing system performance under disruption is a growing area of research, particularly for 
describing a system's resilience to disruptive events. Within the framework of system resilience, this 
study approaches the minimization of a multiple-commodity system's vulnerability to multiple 
disruptions. The vulnerability of a system is defined by the degree to which commodities can no longer 
flow through the system to satisfy demand given a disruptive event. A multi-objective formulation is 
developed to find defense strategies at minimal cost that maintain a high level of demand satisfaction 
across all commodities. A solution method involving an estimation of the Pareto frontier via the Non-
dominated Sorted Genetic Algorithm II (NSGA-II) is also proposed. A decision support environment is 
proposed and supported by application of the Technique for Order of Preference by Similarity to Ideal 
Solution (TOPSIS). The proposed formulation and solution method are illustrated with an example 
generated from the multi-commodity Swedish rail network. © 2018 Elsevier Ltd 
McCarter M., Barker K., Johansson J., Ramirez-Marquez J.E., (2018). A bi-objective formulation for robust defense strategies 
in multi-commodity networks. Reliability Engineering and System Safety, Vol. 176, pp. 154-161. ISSN: 9518320
A brief discussion on the trends of habilitating technologies for Industry 4.0 and 
Smart manufacturing 
Ahuett-Garza H., Kurfess T. 
Article 
Industry 4.0 refers to the integration of a multiplicity of technologies and agents for the common goal 
of improving the efficiency and responsiveness of a production system. This integration has the 
potential to revolutionize the manner in which business are planned and conducted. Smart 
Manufacturing represents the implementation of Industry 4.0 on the manufacturing floor. The Internet 
of Things, Big Data, Cyber Physical Systems, Machine Learning, Additive Manufacturing, and Robotics 
are only some of the elements that are associated with this revolution. This article discusses trends in 
some of the habilitating technologies of Industry 4.0. © 2018 Society of Manufacturing Engineers 
(SME) 
Ahuett-Garza H., Kurfess T., (2018). A brief discussion on the trends of habilitating technologies for Industry 4.0 and Smart 
manufacturing. Manufacturing Letters, Vol. 15, pp. 60-63. ISSN: 22138463
A case report of successful endovascular repair of a giant 15 cm diameter 
asymptomatic thoracic aortic aneurysm 
González-UrquijoM., Dominguez-Porras V.A., Tellez-Martinez L.G., Lozano-Balderas G., Flores-
Villalba E., Fabiani M.A. 
Article 
Introduction: Giant thoracic aortic aneurysms (TAA) are extremely uncommon, and there are only a 
few cases reported in the literature. Most patients presented with symptoms before the size of the 
aneurysm reached a magnitude >10 cm, and most of the reported cases were treated with open repair. 
Presentation of case: Here we report a 15 cm asymptomatic thoracic aortic aneurysm of a 72-year-old 
male patient, treated successfully with thoracic endovascular aortic repair (TEVAR). The patient was 
discharged asymptomatic on postoperative day 2. Discussion: Only 20 case reports of giant TAAs were 
found in the literature, and this is the biggest TAA reported treated with TEVAR. This procedure is a 
promising treatment as morbidity and mortality is lower when compared with open aortic repair 
(OAR). Conclusion: Even though there is limited documented experience, use of TEVAR seems a safe 
and promising option in the treatment of giant thoracic aneurysms as presented in this case. © 2018 
The Authors 
González-Urquijo M., Dominguez-Porras V.A., Tellez-Martinez L.G., Lozano-Balderas G., Flores-Villalba E., Fabiani M.A., 
(2018). A case report of successful endovascular repair of a giant 15 cm diameter asymptomatic thoracic aortic aneurysm. 
International Journal of Surgery Case Reports, Vol. 51, pp. 344-348. ISSN: 22102612
A channel model and simulation technique for reproducing channel realizations 
with predefined stationary or non-stationary PSD 
Parra-Michel R., Vazquez Castillo J., Vela-Garcia L.R., Kontorovich V., Pena-Campos F. 
Article 
Recent communications standards, such as vehicle-to-vehicle and fifth generation, include applications 
where the transmitted signal encounters rapid changes of propagation scenarios, resulting in wireless 
links characterized as non-stationary (NS) channels. Hence, channel models that correctly explain and 
represent the measured time-varying channel statistics, and their associated simulation methods for 
testing purposes, are all required. Although the body of works devoted to NS channel modeling is vast, 
due to the complexity and variety of this problem, the provided NS statistics are defined only within a 
limited observation time, and therefore, the generated channel realizations do not include the changes 
between scenarios. In light of this problem, this paper introduces a channel model that mimics the 
continuous change of the mobile propagation channel via a continual renewal of channel parameters, 
in which all stationary and NS channels are represented under a unified structure. Theoretical and 
simulation results provided in this paper confirm that the proposed model reproduces stationary 
models with high accuracy. In addition, NS channel realizations with predefined time-varying power 
spectral density and time-varying envelope distributions are also shown in this paper, providing a 
means for testing modern communications systems. © 2002-2012 IEEE. 
Parra-Michel R., Vazquez Castillo J., Vela-Garcia L.R., Kontorovich V., Pena-Campos F., (2018). A channel model and 
simulation technique for reproducing channel realizations with predefined stationary or non-stationary PSD. IEEE 
Transactions on Wireless Communications, Vol. 17, pp. 5409-5424. ISSN: 15361276
A class of predefined-time stable dynamical systems 
Sánchez-Torres J.D., Gómez-Gutiérrez D., López E., Loukianov A.G. 
Article 
This article introduces predefined-time stable dynamical systems which are a class of fixed-time stable 
dynamical systems with settling time as an explicit parameter that can be defined in advance. This 
concept allows for the design of observers and controllers for problems that require to fulfil hard time 
constraints. An example is encountered in the fault detection and isolation problem, where mode 
detection in a timely manner needs to be guaranteed in order to apply a recovery action. Furthermore, 
through the notion of strong predefined-time stability, the approach hereinafter presented permits to 
overcome the problem of overestimation of the convergence time bound encountered in previous 
methods for the analysis of finite-time stable systems, where the stabilization time is often an 
unbounded function of the initial conditions of the system. A Lyapunov analysis is provided together 
with a detailed discussion of the applications to consensus and first order sliding mode controller 
design. © 2016 The authors. All rights reserved. 
Sánchez-Torres J.D., Gómez-Gutiérrez D., López E., Loukianov A.G., (2018). A class of predefined-time stable dynamical 
systems. IMA Journal of Mathematical Control and Information, Vol. 35, pp. 0-0. ISSN: 2650754
A continuous time model for a short-term multiproduct batch 
process scheduling 
Díaz-Ramírez J., Huertas J.I. 
Article 
In the chemical industry, it is common to find production systems characterized by having a single 
stage or a previously identified bottleneck stage, with multiple non-identical parallel stations and with 
setup costs that depend on the production sequence. This paper proposes a mixed integer production-
scheduling model that identifies lot size and product sequence that maximize profit. It considers 
multiple typical industry conditions, such as penalties for noncompliance or out of service periods of 
the productive units (or stations) for preventive maintenance activities. The model was validated with 
real data from an oil chemical company. Aiming to analyze its performance, we applied the model to 
155 instances of production, which were obtained using Monte Carlo technique on the historical 
production data of the same company. We obtained an average 12 % reduction in the total cost of 
production and a 19 % increase in the estimated profit. © 2018, Revista Ingenieria e Investigacion - 
Editorial Board. All rights reserved. 
Díaz-Ramírez J., Huertas J.I., (2018). A continuous time model for a short-term multiproduct batch process scheduling 
[Modelo de programación de la producción por lotes de múltiples productos con tiempo continuo]. Ingenieria e 
Investigacion, Vol. 38, pp. 96-104. ISSN: 1205609
A control method for operation of a power conditioner system based on fuel 
cell/supercapacitor 
Trujillo Caballero J.C., Roffiel J.A., López Mariño M.A., Morgado Lievana O.R., 
Pouresmaeil E., Vechiu I. 
Article 
This paper proposes a digital control scheme to control operation of a proton exchange membrane 
fuel cell module of 1.2 kW and a supercapacitor through a DC/DC hybrid converter. A FC is proposed 
as a primary source of energy along with a SC as an auxiliary source of energy. A control scheme is 
proposed for control of the proposed system. An experimental setup of the proposed system is 
implemented in the laboratory, and several scenarios have been defined for tests to verify that the 
proposed system achieves an excellent output voltage regulation and SC voltage control, under 
disturbances from FC voltage, load voltage and other perturbations described in results analysis. © 
2017, Springer-Verlag Berlin Heidelberg. 
Trujillo Caballero J.C., Roffiel J.A., López Mariño M.A., Morgado Lievana O.R., Pouresmaeil E., Vechiu I., (2018). A control 
method for operation of a power conditioner system based on fuel cell/supercapacitor. Electrical Engineering, Vol. 100, pp. 
857-863. ISSN: 9487921
A cost efficiency analysis of the insurance industry in Mexico 
Reyna A.M., Fuentes H.J. 
Article 
In Mexico, the low participation of insurance activity in national production, in contrast to similar Latin 
American economies, is a concern. Industry’s regulator promoted more intense competition at the 
dawn of the century. Was deregulation followed by improvements in the financial and economic 
performance of Mexican insurance firms? The purpose of this paper is to answer this question through 
a comprehensive analysis of cost variations in an intertemporalmanner, by breaking them down into 
the economic sources that produce them, including productivity. Cost frontier estimation was 
grounded in a joint production technology of desirable and undesirable outputs, modeled in an input-
oriented fashion. Our results demonstrate that even though some companies achieved cost reductions 
from technological progress or improvements in efficiency, the Mexican insurance market does not 
show signs of significant productivity gains. © 2017, Springer Science+Business Media, LLC, part of 
Springer Nature. 
Reyna A.M., Fuentes H.J., (2018). A cost efficiency analysis of the insurance industry in Mexico. Journal of Productivity 
Analysis, Vol. 49, pp. 49-64. ISSN: 0895562X
A cross-disciplinary introduction to quantum annealing-based algorithms 
Venegas-Andraca S.E., Cruz-Santos W., McGeoch C., Lanzagorta M. 
Article 
A central goal in quantum computing is the development of quantum hardware and quantum 
algorithms in order to analyse challenging scientific and engineering problems. Research in quantum 
computation involves contributions from both physics and computer science; hence this article 
presents a concise introduction to basic concepts from both fields that are used in annealing-based 
quantum computation, an alternative to the more familiar quantum gate model. We introduce some 
concepts from computer science required to define difficult computational problems and to realise the 
potential relevance of quantum algorithms to find novel solutions to those problems. We introduce 
the structure of quantum annealing-based algorithms as well as two examples of this kind of 
algorithms for solving instances of the max-SAT and Minimum Multicut problems. An overview of the 
quantum annealing systems manufactured by D-Wave Systems is also presented. © 2018 Informa UK 
Limited, trading as Taylor & Francis Group. 
Venegas-Andraca S.E., Cruz-Santos W., McGeoch C., Lanzagorta M., (2018). A cross-disciplinary introduction to quantum 
annealing-based algorithms. Contemporary Physics, Vol. 59, pp. 174-197. ISSN: 107514
A Dignified Standard of Living in Mexico: Results of a Pilot Study of the 
Minimum Income Standard Approach 
Valadez-Martínez L., Padley M., Torres Penagos M.F. 
Article 
This paper explores the ways in which consensually-defined, socially-constructed living standards 
could be helpful in providing new ways of understanding living standards in Mexico. A pilot study 
formulating a “Minimum Income Standard”, carried out in the country in 2016, asked members of 
Mexican society what they consider to be necessary to achieve a dignified standard of living in urban 
Mexico today. Participants discussed the meaning of a dignified standard of living and translated such 
definition into concrete items in a hypothetical living room and in leisure time. Our study reveals that 
social participation, security, and employment are seen as important elements to live a dignified 
standard of living, which permeate the rationale for identifying the goods and services seen as needed 
to achieve a dignified living standard. The definition of a dignified standard of living could usefully 
inform and contribute to the ongoing debate on wage adequacy in the country. © 2017, The Author(s). 
Valadez-Martínez L., Padley M., Torres Penagos M.F., (2018). A Dignified Standard of Living in Mexico: Results of a Pilot 
Study of the Minimum Income Standard Approach. Social Indicators Research, Vol. 140, pp. 695-714. ISSN: 3038300
A finite-time consensus algorithm with simple structure for fixed networks 
Gómez-Gutiérrez D., Ruiz-León J., Celikovský S., Sánchez-Torres J.D. 
Article 
In this paper, a continuous-time consensus algorithm with guaranteed finite-time convergence is 
proposed. Using homogeneity theory, finite-time consensus is proved for fixed topologies. The 
proposed algorithm is computationally simpler than other reported finite-time consensus algorithms, 
which is an important feature in scenarios of energy efficient nodes with limited computing resources 
such as sensor networks. Additionally, the proposed approach is compared on simulations with existing 
consensus algorithms, namely, the standard asymptotic consensus algorithm and the finite-time and 
fixed-time convergent algorithms, showing, in cycle graph topology, better robustness features on the 
convergence with respect to the network growth with less control effort. Indeed, the convergence 
time of other previously proposed consensus algorithms grows faster as the network grows than the 
one herein proposed whereas the control effort of the proposed algorithm is lower. © 2018 Instituto 
Politecnico Nacional. All rights reserved. 
Gómez-Gutiérrez D., Ruiz-León J., Celikovský S., Sánchez-Torres J.D., (2018). A finite-time consensus algorithm with simple 
structure for fixed networks. Computacion y Sistemas, Vol. 22, pp. 547-556. ISSN: 14055546
A fuzzy imperfect production and repair inventory model with time dependent 
demand, production and repair rates under inflationary conditions 
Jain S., Tiwari S., Cárdenas-Barrón L.E., Shaikh A.A., Singh S.R. 
Article 
This research work derives an integrated inventory model for imperfect produc- tion/remanufacturing 
process with time varying demand, production and repair rates under inationary environment. This 
inventory model deals with the joint manufacturing and remanufacturing options. There is a collection 
process devoted to collect used items with the aim to remanufacture them. Both production and repair 
runs generate imperfect items. The repair process remanufactures used and imperfect items. Further, 
it is also considered that the remanufactured item that is classified as good has exactly same quality 
as that of new one. Demand rate is supposed as time dependent. The pro- duction rate is assumed to 
be demand dependent and therefore it is also time dependent. The repair rate is supposed to be a 
function of time. All system costs are contemplated in uncertain environment. Therefore, the costs are 
considered as fuzzy nature. Theoretical results are illustrated thru a numerical example. Finally, a 
sensitivity analysis is performed in order to know the impact of different parameters on the optimal 
policy. © EDP Sciences, ROADEF, SMAI 2018. 
Jain S., Tiwari S., Cárdenas-Barrón L.E., Shaikh A.A., Singh S.R., (2018). A fuzzy imperfect production and repair inventory 
model with time dependent demand, production and repair rates under inflationary conditions. RAIRO - Operations 
Research, Vol. 52, pp. 217-239. ISSN: 3990559
A fuzzy logic navigation controller implemented in hardware for 
an electric wheelchair 
Rojas M., Ponce P., Molina A. 
Article 
In this article, we present an obstacle avoidance controller implemented in a field programmable gate 
array for an electric wheelchair. It is based on a traditional approach with ultrasonic sensors and fuzzy 
logic. Various tests were conducted to characterize the prototype and to evaluate the controller 
performance. The results showed that the system is able to acquire data from sensors and make 
decisions 46.16 times per second. The sensors’ coverage extends 3 m to the front, rear, left, and right 
sides of the wheelchair; moreover, the sensors detect 0.95-cm diameter objects at 40 cm. The power 
consumption was evaluated, and it was found that the hardware architecture reduces the battery life 
by only 0.87%. Furthermore, the controller helped to navigate in confined areas, avoiding obstacles 
with cautious movements and decreasing the likelihood of collision. The proposed methodology uses 
data from eight sonars distributed around the wheelchair to make navigation decisions, besides the 
hardware-based architecture guarantees real-time control and on-time response. © 2018, © The 
Author(s) 2018. 
Rojas M., Ponce P., Molina A., (2018). A fuzzy logic navigation controller implemented in hardware for an electric 
wheelchair. International Journal of Advanced Robotic Systems, Vol. 15,ISSN: 17298806
A general strategy for direct synthesis of reduced graphene oxide by chemical 
exfoliation of graphite 
Betancur A.F., Ornelas-Soto N., Garay-Tapia A.M., Pérez F.R., Salazar Á., García A.G. 
Article 
In this work, a first stage of synthesis to obtain reduced graphene oxide (rGO) using an efficient 
chemical exfoliation method from graphite was studied. An ammonium hydroxide and a nitric-sulfuric 
acid mixture were used for in situ oxidation and partial-reduction of graphite. Flakes with a thickness 
of 3 nm were observed by using AFM, suggesting the presence of ten or less graphene layers. The 
average C/O atomic percentage ratio obtained was 4.27, which is similar to those results obtained by 
conventional reduction processes associated with using hydrazine. In addition, a graphitic nitrogen 
functionalization was observed during the proposed process. Besides that, the precursor of rGO 
suspension obtained remained stable for six months. Therefore, the present study showed a less 
aggressive and dangerous chemistry route in order to rGO production than others previously reported 
works. © 2018 
Betancur A.F., Ornelas-Soto N., Garay-Tapia A.M., Pérez F.R., Salazar Á., García A.G., (2018). A general strategy for direct 
synthesis of reduced graphene oxide by chemical exfoliation of graphite. Materials Chemistry and Physics, Vol. 218, pp. 51-
61. ISSN: 2540584
A giant splenic hamartoma associated with hematologic disorders: A case 
report 
Gonzalez Urquijo M., Rodarte-Shade M., Rangel-Rangel R., Castillo-Meraz J.A., Rodriguez-Tejeda J.R., 
Gil-Galindo G. 
Article 
Introduction: Splenic hamartoma is a primary benign tumor of the spleen, with approximately 150 
cases documented in the literature to date, with only a few cases associated with symptoms and 
hematologic disorders. Presentation of case: A 49-year-old female with no past medical history, 
presented to the emergency department complaining of a three-month history of intermittent 
abdominal pain and 12 kg of weight loss. Physical examination revealed abdominal distension and a 
big palpable and painless mass on the left side of her abdomen measuring 14 cm. Laboratory tests 
were significant for anemia and thrombocytopenia, with levels of 9.7 g/dL and 47 × 109/L respectively. 
Ultrasonography showed splenomegaly with a hypoechoic splenic mass and the computed 
tomography showed a 14 cm splenic mass with heterogeneous enhancement during the arterial phase. 
A laparotomy with splenectomy was unremarkably accomplished. Histological examination revealed 
abnormal red pulp proliferation and showed unorganized sinusoid-like vascular channels, compatible 
with splenic hamartoma. The patient was discharged on postoperative day 3 without complications. 
She was seen at the ambulatory clinic 6-months after the surgical procedure with a normal blood 
count. Discussion: Although splenic hamartoma is very rare, it must be included in the differential 
diagnosis of splenic mass-forming lesions. This type of tumor has some specific radiological features. 
However, the diagnosis of this disease must be based on clinical features and confirmed by pathology. 
Conclusion: In patients with splenic tumors, splenectomy is indicated in cases where malignancy 
cannot be excluded, when symptoms occur, or in the rare cases of consequent hematologic disorders. 
© 2018 
Gonzalez Urquijo M., Rodarte-Shade M., Rangel-Rangel R., Castillo-Meraz J.A., Rodriguez-Tejeda J.R., Gil-Galindo G., (2018). 
A giant splenic hamartoma associated with hematologic disorders: A case report. Annals of Medicine and Surgery, Vol. 36, 
pp. 199-202. ISSN: 20490801
A heuristic procedure for the outbound container space assignment problem 
for small and midsize maritime terminals 
Guerra-Olivares R., Smith N.R., González-Ramírez R.G., García-Mendoza E., Cárdenas-Barrón L.E. 
Article 
The space allocation problem for outbound containers involves assigning containers to specific 
locations in the yard as they are delivered to the port. The problem is challenging because the arrival 
sequence is not known in advance, which makes it difficult to minimize container rehandling during 
the ship loading operation. This paper provides a heuristic procedure for the container space allocation 
problem employing reach stacker vehicles as container handling equipment. Procedures reported in 
the existing literature apply to rubber-tired gantry (RTG) cranes. Therefore, we are extending current 
research to the cases of port terminals that employ reach stacker vehicles, commonly used by small or 
medium size ports in emerging countries such as in Latin America. In addition, we adapted a procedure 
recently published in the literature. Empirical results show that the proposed heuristic yields better 
performance than the adapted heuristic. Another contribution of this paper is the formulation of a 
perfect information mathematical model which computes a lower bound on the number of rehandles 
required to load a group of containers given their arrival sequence to the port. The gap between the 
number of rehandle movements achieved by the proposed heuristic and the perfect information 
model is reported. © 2017, Springer-Verlag Berlin Heidelberg. 
Guerra-Olivares R., Smith N.R., González-Ramírez R.G., García-Mendoza E., Cárdenas-Barrón L.E., (2018). A heuristic 
procedure for the outbound container space assignment problem for small and midsize maritime terminals. International 
Journal of Machine Learning and Cybernetics, Vol. 9, pp. 1719-1732. ISSN: 18688071
A hybrid and flipped version of an introductory mathematics course for higher 
education 
Salinas Martínez N.P., Quintero Rodríguez E. 
Article 
This in practice paper describes the experience of seven lecturers in a hybrid and flipped version of an 
introductory mathematics course for higher education. In a Mexican university, lecturers adapted to 
this innovation supported by an adjusted Massive Open Online Course. The experience revealed the 
relevance of leaving conventional assessment processes to make way for an understanding of lecturers 
as a collaborative team, trying to transform their own perspective about the learning of mathematics. 
This experience is an example of the reconceptualisation of the teaching of STEM education that 
contributes towards a non-formal educational context, promoting lecturers’ education and dialogic 
transformative learning. © 2018 Informa UK Limited, trading as Taylor & Francis Group. 
Salinas Martínez N.P., Quintero Rodríguez E., (2018). A hybrid and flipped version of an introductory mathematics course for 
higher education. Journal of Education for Teaching, Vol. 44, pp. 112-117. ISSN: 2607476
A hybrid evolutionary approach to design off-grid electrification projects with 
distributed generation 
Avilés J., Mayo-Maldonado J.C., Micheloud O. 
Article 
A hybrid evolutionary approach is proposed to design off-grid electrification projects that require 
distributed generation (DG). The design of this type of systems can be considered as an NP-Hard 
combinatorial optimization problem; therefore, due to its complexity, the approach tackles the 
problem from two fronts: optimal network configuration and optimal placement of DG. The hybrid 
scheme is based on a particle swarm optimization technique (PSO) and a genetic algorithm (GA) 
improved with a heuristic mutation operator. The GA-PSO scheme permits finding the optimal network 
topology, the optimal number, and capacity of the generation units, as well as their best location. 
Furthermore, the algorithm must design the system under power quality requirements, network 
radiality, and geographical constraints. The approach uses GPS coordinates as input data and develops 
a network topology from scratch, driven by overall costs and power losses minimization. Finally, the 
proposed algorithm is described in detail and real applications are discussed, from which satisfactory 
results were obtained. © 2018 J. Avilés et al. 
AvilésJ., Mayo-Maldonado J.C., Micheloud O., (2018). A hybrid evolutionary approach to design off-grid electrification 
projects with distributed generation. Mathematical Problems in Engineering, Vol. 2018, ISSN: 1024123X
A Mechano-Activated Cell Reporter System as a Proxy for Flow-Dependent 
Endothelial Atheroprotection 
Slegtenhorst B.R., Fajardo Ramirez O.R., Zhang Y., Dhanerawala Z., Tullius S.G., García-Cardeña G. 
Article 
The vascular endothelium plays a critical role in the health and disease of the cardiovascular system. 
Importantly, biomechanical stimuli generated by blood flow and sensed by the endothelium constitute 
important local inputs that are translated into transcriptional programs and functional endothelial 
phenotypes. Pulsatile, laminar flow, characteristic of regions in the vasculature that are resistant to 
atherosclerosis, evokes an atheroprotective endothelial phenotype. This atheroprotective phenotype 
is integrated by the transcription factor Kruppel-like factor-2 (KLF2), and therefore the expression of 
KLF2 can be used as a proxy for endothelial atheroprotection. Here, we report the generation and 
characterization of a cellular KLF2 reporter system, based on green fluorescence protein (GFP) 
expression driven by the human KLF2 promoter. This reporter is induced selectively by an 
atheroprotective shear stress waveform in human endothelial cells, is regulated by endogenous 
signaling events, and is activated by the pharmacological inducer of KLF2, simvastatin, in a dose-
dependent manner. This reporter system can now be used to probe KLF2 signaling and for the 
discovery of a novel chemical-biological space capable of acting as the “pharmacomimetics of 
atheroprotective flow” on the vascular endothelium. © 2018 Society for Laboratory Automation and 
Screening. 
Slegtenhorst B.R., Fajardo Ramirez O.R., Zhang Y., Dhanerawala Z., Tullius S.G., García-Cardeña G., (2018). A Mechano-
Activated Cell Reporter System as a Proxy for Flow-Dependent Endothelial Atheroprotection. SLAS Discovery, Vol. 23, pp. 
869-876. ISSN: 24725552
A methodological framework of eco-efficiency based on fuzzy logic and Life 
Cycle Assessment applied to a Mexican SME 
Besné A.G., Luna D., Cobos A., Lameiras D., Ortiz-Moreno H., Güereca L.P. 
Article 
In this paper an eco-efficiency analysis methodology that takes into account Life Cycle Assessment 
(LCA) and fuzzy logic is presented. It consists of four stages: (1) perform LCA and basic cost analysis, (2) 
normalize the environmental and economic impact categories results, (3) integrate economic and 
environmental impact categories by means of a fuzzy treatment and (4) obtaining the fuzzy eco-
efficiency index. The result is a preference hierarchy that indicates an order of scenarios according to 
their degree of eco-efficiency. The methodology proposed is applied to a Mexican SME: a plastic 
products manufacturer. Six different supplier locations of polypropylene were considered: United 
States of America (transporting by land and by water), China, Singapore, Europe, and United Arab 
Emirates. The robustness of the methodological framework was tested by means of a comparative 
analysis with a decision surface graph, an eco-efficiency index, and random runs to prove their 
variability. Results show that USA is the most preferable supplier location when polypropylene is 
transported by land. The comparative analysis with the random series results and the decision surface 
graph, allowed to corroborate the stability of the fuzzy preference orders and to identify clusters of 
scenarios with an equally eco-efficient performance. Thus, the robustness of the methodology 
proposed was validated. © 2017 Elsevier Inc. 
Besné A.G., Luna D., Cobos A., Lameiras D., Ortiz-Moreno H., Güereca L.P., (2018). A methodological framework of eco-
efficiency based on fuzzy logic and Life Cycle Assessment applied to a Mexican SME. Environmental Impact Assessment 
Review, Vol. 68, pp. 38-48. ISSN: 1959255
A methodology to create a sensing, smart and sustainable manufacturing 
enterprise 
Chavarría-Barrientos D., Batres R., Wright P.K., Molina A. 
Article 
Next-generation manufacturing enterprises need to be sensing, smart and sustainable to be 
competitive: ‘sensing’ refers to context awareness at internal and external levels; ‘smart’ refers to 
knowledge-based organisations that adapt to changes and ‘sustainable’ refers to the ability to operate 
without damaging the environment, community or economy. Although technologies do exist to 
support the development of such enterprises, there is a need for methodologies that help in the entire 
enterprise engineering problem. This paper proposes a methodology, based on the principles of 
enterprise architecture, to design a sensing, smart and sustainable manufacturing enterprise. The 
methodology aims at adopting the best practices used in enterprise engineering while dealing with the 
relevant gaps. An analysis of the characteristics of the ‘Sensing, Smart and Sustainable Manufacturing 
Enterprise’ (S3-ME) is presented to understand the advantages of using the proposed methodology. 
The methodology comprises the instantiation of five viewpoints presented in the Reference Model of 
Open Distributed Processing (ISO/IEC 10746 RM-ODP) and redefined by the Smart and Sensing 
Enterprise Reference Model (S2E-RM). The viewpoint instantiation is described and then exemplified 
with a case study. As a result of the instantiation, the enterprise is defined through an enterprise 
model. © 2017 Informa UK Limited, trading as Taylor & Francis Group. 
Chavarría-Barrientos D., Batres R., Wright P.K., Molina A., (2018). A methodology to create a sensing, smart and sustainable 
manufacturing enterprise. International Journal of Production Research, Vol. 56, pp. 584-603. ISSN: 207543
A Methodology to Support Manufacturing System Design Using Digital Models 
and Simulations: An Automotive Supplier Case Study 
Chavarría-Barrientos D., Villagomez L.E., Miranda J., Molina A., Batres R., Gutierrez I., Gonzalez E., 
Puente J. 
Article 
Emerging tools for digital manufacturing support the decision making during the design of production 
systems. Simulations have proved to enhance the plant design process by generating accurate 
predictions allowing the evaluation of different alternatives. However, the use of these tools needs to 
be guided to achieve an efficient decision-making process. Therefore, this paper proposes a 
methodology to guide the engineering efforts towards plant design and operation using discrete event 
simulation tools. The methodology integrates all essential activities to develop, optimize, and validate 
the plant. The presented methodology aims at specifying the approach taken to generate the 
technology viewpoint from the Sensing, Smart and Sustainable Enterprise Reference Model (S3E-RM) 
which allows the integrated manufacturing enterprise design. A case study is presented to 
demonstrate the results obtained when using the methodology. The case study is a plant from a Tier 
One Automotive Supplier that produces plastic and metal parts. The advantages and limitations of the 
proposed methodology are visualized in the case study implementation and then discussed in the 
conclusions. © 2018 
Chavarría-Barrientos D., Villagomez L.E., Miranda J., Molina A., Batres R., Gutierrez I., Gonzalez E., Puente J., (2018). A 
Methodology to Support Manufacturing System Design Using Digital Models and Simulations: An Automotive Supplier Case 
Study. IFAC-PapersOnLine, Vol. 51, pp. 1598-1603. ISSN: 24058963
A microfluidic Lab-on-a-Disc (LOD) for antioxidant activities of plant extracts 
Rahman N.A., Ibrahim F., Aeinehvand M.M., Yusof R., Madou M. 
Article 
Antioxidants are an important substance that can fight the deterioration of free radicals and can easily 
oxidize when exposed to light. There are many methods to measure the antioxidant activity in a 
biological sample, for example 2,2-diphenyl-1-picrylhydrazyl (DPPH)antioxidant activity test, which is 
one of the simplest methods used. Despite its simplicity, the organic solvent that has been used to 
dilute DPPH is easily evaporated and degraded with respect to light exposure and time. Thus, it needs 
to be used at the earliest convenient time prior to the experiment. To overcome this issue, a rapid and 
close system for antioxidant activity is required. In this paper, we introduced the Lab-on-a-Disc (LoD) 
method that integrates the DPPH antioxidant activity test on a microfluidic compact disc (CD).We used 
ascorbic acid, quercetin, Areca catechu, Polygonum minus, and Syzygium polyanthum plant extracts 
to compare the results of our proposed LoD method with the conventional method. Contrasted to the 
arduous laborious conventional method, our proposed method offer rapid analysis and simple 
determination of antioxidant. This proposed LoD method for antioxidant activity in plants would be a 
platform for the further development of antioxidant assay. © 2018 by the authors. 
Rahman N.A., Ibrahim F., Aeinehvand M.M., Yusof R., Madou M., (2018). A microfluidic Lab-on-a-Disc (LOD) for antioxidant 
activities of plant extracts. Micromachines, Vol. 9, ISSN: 2072666X
A model for a biotechnological enterprise based on sustainability and the 
circular economy: An approach based on mexican innovations 
Arredondo-Trapero F.G., Vázquez-Parra J.C., Serrano-Bosquet F.J. 
Article 
Sustainability is a differentiating factor for businesses and is particularly relevant in businesses that 
include an element of biotechnology. The current work presents six cases involving Mexican 
companies, which arose from biotechnology innovation projects with a focus on sustainability. The 
methodology used in this work is content analysis, applied to the texts and reports of businesses having 
this type of profile in order to discover similarities and establish relationships. These examples may 
serve as a foundation for providing new opportunities for biotechnological and sustainable enterprises. 
© 2018, Allied Business Academies. All rights reserved. 
Arredondo-Trapero F.G., Vázquez-Parra J.C., Serrano-Bosquet F.J., (2018). A model for a biotechnological enterprise based 
on sustainability and the circular economy: An approach based on mexican innovations. International Journal of 
Entrepreneurship, Vol. 22, ISSN: 10999264
A Multistakeholder Approach for the Optimal Planning of Sustainable 
Energy Systems 
Sánchez-Bautista A.D.F., Santibañez-Aguilar J.E., Fuentes-Cortés L.F., Flores-Tlacuahuac A., 
Ponce-Ortega J.M. 
Article 
This paper presents a mathematical programming model for the optimal planning of an integrated 
system for producing fuels and biofuels considering the interaction with facilities capable of capturing 
emissions from biorefineries and refineries and receiving a monetary benefit; these facilities can be 
named eco-industries or forest plantations. The proposed approach is formulated as a 
multistakeholder scheme to consider the benefits and effects in each one of the involved supply chain 
entities and to determine how the interactions between the different stakeholders take place. The 
proposed approach takes into account the profit of biorefineries, refineries, and forest plantations as 
well as the emissions and jobs generated in each one of the involved entities. Additionally, it considers 
local and imported raw materials to satisfy the energy demand. Also, the approach considers features 
such as the project lifetime; the availability of resources; the amount and type of products that should 
be produced; and the allocation and capacity of the refineries, biorefineries, and forest plantations. 
The mathematical approach was applied to a nationwide case study for Mexico, considering the 
creation of new jobs, overall emissions, and net profit as main objectives. © 2018 American Chemical 
Society. 
Sánchez-Bautista A.D.F., Santibañez-Aguilar J.E., Fuentes-Cortés L.F., Flores-Tlacuahuac A., Ponce-Ortega J.M., (2018). A 
Multistakeholder Approach for the Optimal Planning of Sustainable Energy Systems. ACS Sustainable Chemistry and 
Engineering, Vol. 6, pp. 9451-9460. ISSN: 21680485
A new configuration of 2 electromagnetic power generators for mechanical 
energy conversion by spinning a ferrite magnet in flat form 
Torres-Sánchez E., Ponce P., Molina A. 
Article 
Two electromagnetic power generators were designed and built with the purpose of creating a safe, 
noncarbon emitting, and long-lasting source of energy. Prototype A has 20 coils and B has 10 coils. 
Each one has 2 flywheels, a second-hand ferrite magnet that spins over the horizontal plane (lateral 
axis), and neodymium magnets (NdFeB). A literature review is provided covering the origins of the first 
direct current generators up to the most widely used contemporary alternating current power 
generators, comparing them with both prototypes. These were compared with each other to 
determine which performs better by making mathematical projections and checking them 
experimentally. The prototypes are based on an innovative configuration for mechanical energy 
conversion, which supplies power every time the system is in motion. The harvested energy has shown 
results—in terms of output power, power density, and specific power—which depend on several 
factors, such as the mechanical force induced and the period of time they remain spinning by the 
flywheels. The different parameters of the systems, which include connections, structure details, 
spinning plane, experimental results, and materials, are specified. Advantages and disadvantages are 
also analyzed, including some immediate real-life applications. The designs have been improved by 
changing the shape of the coils and magnets as a whole to create enduring power systems. Copyright 
© 2017 John Wiley & Sons, Ltd. 
Torres-Sánchez E., Ponce P., Molina A., (2018). A new configuration of 2 electromagnetic power generators for mechanical 
energy conversion by spinning a ferrite magnet in flat form. International Journal of Energy Research, Vol. 42, pp. 1262-
1276. ISSN: 0363907X
A new methodology to determine typical driving cycles for the design of 
vehicles power trains 
Huertas J.I., Díaz J., Cordero D., Cedillo K. 
Article 
Driving cycles currently available cannot be used for the eco-design of vehicles power trains because 
those cycles do not describe local driving patterns. The main difficulty in obtaining a representative 
driving cycle is the lack of a repeatable and reproducible methodology to ensure that the resulting 
cycle is representative of local conditions. We developed a methodology to address this need, based 
on simultaneous data of speed, altitude, fuel consumption and tail pipe emissions. The methodology 
consists of three steps: (i) route selection; (ii) obtaining a representative sample of real cycles from 
vehicles driven in the region of interest; (iii) identification of the typical driving cycle as the one out of 
the real cycles sampled, whose characteristic parameters have the minimum weighted differences 
with respect to the average values of all cycles sampled. This method does not require the 
measurement of fuel consumption nor the emission of pollutants. However, by following this method, 
a vehicle that reproduces the resulting cycle exhibits a fuel consumption, and tailpipe emissions similar 
to the average of these variables shown by the entire population of vehicles with the same technology 
being driven in that region. We applied it to a fleet of 15 buses of the same technology covering the 
same routes over 8 months, in an area of high altitude with flat and hilly terrain. Measured fuel 
consumption and tailpipe emissions for the resulting driving cycle were within the 4% of difference 
with respect to the average values of all cycles sampled. © 2017, Springer-Verlag France. 
Huertas J.I., Díaz J., Cordero D., Cedillo K., (2018). A new methodology to determine typical driving cycles forthe design of 
vehicles power trains. International Journal on Interactive Design and Manufacturing, Vol. 12, pp. 319-326. ISSN: 19552513
A novel approach to statistical-dynamical downscaling for long-term wind 
resource predictions 
Chávez-Arroyo R., Fernandes-Correia P., Lozano-Galiana S., Sanz-Rodrigo J., Amezcua J., Probst O. 
Article 
A new method for the long-term prediction of the wind resource based on the concept of statistical-
dynamical downscaling is presented. This new approach uses mean sea level pressure maps from 
global reanalysis data (National Centers for Environmental Prediction Department of Energy 
Atmospheric Model Intercomparison Project (NCEP-DOE AMIP-II)) and image processing techniques to 
identify a synthetic reference period which optimally matches the corresponding long-term maps. Four 
different image processing techniques, averaged into one image similarity error index, are used to 
evaluate image similarity. A representative set of days is selected by requiring the error index to be 
minimal. Validation of representativeness in terms of the wind resource for the Iberian domain is 
performed against 10 years of measured wind data from Navarra (Spain), as well as mesoscale 
simulations of the Iberian Peninsula. The new approach is shown to outperform not only the industry-
standard method but also other recently proposed methods in its capability to achieve mesoscale level 
representativeness. A particular advantage of the new method is its capability of simultaneously 
providing a representative period for all potential wind farm sites located within large regional 
domains without requiring re-running of the method for different candidate sites. © 2017 Royal 
Meteorological Society 
Chávez-Arroyo R., Fernandes-Correia P., Lozano-Galiana S., Sanz-Rodrigo J., Amezcua J., Probst O., (2018). A novel approach 
to statistical-dynamical downscaling for long-term wind resource predictions. Meteorological Applications, Vol. 25, pp. 171-
183. ISSN: 13504827
A Novel Discrete-time Nonlinear Model Predictive Control Based on 
State Space Model 
Sotelo C., Favela-Contreras A., Beltrán-Carbajal F., Dieck-Assad G., Rodríguez-Cañedo P., Sotelo D. 
Article 
This paper proposes a novel finite dimensional discrete-time Nonlinear Model Predictive Control. This 
technique is based on discrete-time state-space models, Taylor series expansion for prediction and 
performance index optimization. Furthermore, the technique extends the concept of the Lie derivative 
for the discrete time case using Euler backwards method. The performance validation for the discrete-
time Nonlinear Model Predictive Control uses the simulation of a single-link flexible joint robot and the 
inverted pendulum. Comparison of the proposed finite dimensional discrete-time Nonlinear Model 
Predictive Control technique with Feedback Linearization Control is also discussed. Analytical and 
numerical results show excellent performances for both, the single-link flexible joint and inverted 
pendulum controllers using the proposed discrete-time Nonlinear Model Predictive Control technique. 
© 2018, Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and 
Springer-Verlag GmbH Germany, part of Springer Nature. 
Sotelo C., Favela-Contreras A., Beltrán-Carbajal F., Dieck-Assad G., Rodríguez-Cañedo P., Sotelo D., (2018). A Novel Discrete-
time Nonlinear Model Predictive Control Based on State Space Model. International Journal of Control, Automation and 
Systems, Vol. 16, pp. 2688-2696. ISSN: 15986446
A novel method for bioethanol production using immobilized yeast cells in 
calcium-alginate films and hybrid composite pervaporation membrane 
Santos E.L.I., Rostro-Alanís M., Parra-Saldívar R., Alvarez A.J. 
Article 
Fermentation of sugar for production of ethanol was carried out using Saccharomyces cerevisiae cells 
immobilized in calcium alginate films. Thin films of calcium alginate casted on a microchannel surface 
were used instead of the typical spherical bead configuration. Yeast immobilized on alginate films 
produced a higher ethanol yield than free yeast cells under the same fermentation conditions. Also, a 
silicalite-1/poly dimethyl siloxane composite pervaporation membrane was synthesized for ethanol 
separation, and characterized with flux and separation factor. The composite membrane synthesized 
with a 3–1 ratio of silicalite-1 to poly dimethyl siloxane showed promising results, with a flux of 140.6 
g/m2 h ± 19.3 and a separation factor of 37.52 ± 3.55. Thus, the performance of both the alginate film 
with immobilized cells and the customized hybrid membrane suggests they could have an interesting 
potential application in an integrated reaction-separation device for the production and purification 
of bioethanol. © 2017 Elsevier Ltd 
Santos E.L.I., Rostro-Alanís M., Parra-Saldívar R., Alvarez A.J., (2018). A novel method for bioethanol production using 
immobilized yeast cells in calcium-alginate films and hybrid composite pervaporation membrane. Bioresource Technology, 
Vol. 247, pp. 165-173. ISSN: 9608524
A novel method to detect the Mexican founder mutation BRCA1 ex9-12del 
associated with breast and ovarian cancer using quantitative polymerase chain 
reaction and TaqMan® probes 
Martínez-Treviño D.A., León-Cachón R.B.R., Villarreal-Garza C., Méndez D.A.Y., Aguilar-Martínez E., 
Barrera-Saldaña H.A. 
Article 
In 2015, according to the National Institute of Statistics and Geography (INEGI), malignant breast 
tumors were the first cause of cancer fatality in women (6,273 fatalities) in Mexico, whereas 2,793 
fatalities in women were due to ovarian cancer. A total of 5-10% of breast cancer and 10-15% of 
ovarian cancer cases are caused by a hereditary breast-ovarian cancer syndrome, with mutations 
predominantly identified in the BRCA1 and BRCA2 genes. Recently, the Mexican founder mutation 
BRCA1 ex9-12del was identified (deletion of exons 9-12 with recombination between introns 8-12). 
This is the most frequently reported mutation in hereditary breast/ovarian cancer in Mexico. Current 
detection methods include end-point polymerase chain reaction (PCR) and Multiplex Ligation-
dependent Probe Amplification (MLPA). In the present study a cheap, sensitive and fast detection 
method was developed based on quantitative PCR and two TaqMan® probes, one to detect the 
deletion (recombination region between introns 8 and 12), and the other one a region from exon 11. 
With this assay, 90 samples were able to be analyzed in 2 h using 2.5 ng of DNA/reaction at a cost of 
~2-3 USD. This method is capable of detecting positive samples for DNA deletion and excluding 
negative ones. Therefore, the method proposed may be a useful high-throughput diagnostic option 
that could be useful in future association or prevalence studies that use large populations. © 2018 
Spandidos Publications. All rights reserved. 
Martínez-Treviño D.A., León-Cachón R.B.R., Villarreal-Garza C., Méndez D.A.Y., Aguilar-Martínez E., Barrera-Saldaña H.A., 
(2018). A novel method to detect the Mexican founder mutation BRCA1 ex9-12del associated with breast and ovarian cancer 
using quantitative polymerase chain reaction and TaqMan® probes. Molecular Medicine Reports, Vol. 18, pp. 1531-1537. 
ISSN: 17912997
A QUBO formulation of the stereo matching problem for D-Wave 
quantum annealers 
Cruz-Santos W., Venegas-Andraca S.E., Lanzagorta M. 
Article 
In this paper, we propose a methodology to solve the stereo matching problem through quantum 
annealing optimization. Our proposal takes advantage of the existing Min-Cut/Max-Flow network 
formulation of computer vision problems. Based on this network formulation, we construct a quadratic 
pseudo-Boolean function and then optimize it through the use of the D-Wave quantum annealing 
technology. Experimental validation using two kinds of stereo pair of images, random dot stereograms 
and gray-scale, shows that our methodology is effective.© 2018 by the authors. 
Cruz-Santos W., Venegas-Andraca S.E., Lanzagorta M., (2018). A QUBO formulation of the stereo matching problem for D-
Wave quantum annealers. Entropy, Vol. 20, ISSN: 10994300
A real option based model for the valuation of patent protected technological 
innovation projects 
Hernández-García R.D., Güemes-Castorena D., Ponce-Jaramillo I.E. 
Article 
Decision Tree Analysis and Internal Rate of Return, do not properly consider uncertainty and flexibility, 
which are crucial for both valuating a project and the related decision-making process. Usually, 
uncertainty and managerial flexibility have been regarded as a factor that needs to be reduced; 
nevertheless, Real Option analysis recognizes that both may generate value, since both allow managers 
to decide on the investment on a project as time unfolds. This research proposes the development of 
a model and a tool based on real options that supports decision-makers in the valuation process of 
uncertain projects. The model originally developed by Schwartz and later adapted and modified by 
Ernst et al. is used as a baseline for the tool. The objective is to develop an easier-to-use-tool for 
decision-makers to valuate patent protected technological innovation projects which uses fewer 
variables than the actual model. The expected users are Technology Transfer Offices, which can 
support the decision-making process of investing on risky projects for its further commercialization. 
The main results of the model are the probability distribution of the project value and the percentage 
of times that profit is generated, which are critical factors when deciding to invest in a technological 
project. © 2018 Elsevier Ltd 
Hernández-García R.D., Güemes-Castorena D., Ponce-Jaramillo I.E., (2018). A real option based model for the valuation of 
patent protected technological innovation projects. World Patent Information, Vol. 53, pp. 24-38. ISSN: 1722190
A rust fungal effector binds plant DNA and modulates transcription 
Ahmed M.B., Santos K.C.G., Sanchez I.B., Petre B., Lorrain C., Plourde M.B., Duplessis S., 
Desgagné-Penix I., Germain H. 
Article 
The basidiomycete Melampsora larici-populina causes poplar rust disease by invading leaf tissues and 
secreting effector proteins through specialized infection structures known as haustoria. The 
mechanisms by which rust effectors promote pathogen virulence are poorly understood. The present 
study characterized Mlp124478, a candidate effector of M. larici-populina. We used the models 
Arabidopsis thaliana and Nicotiana benthamiana to investigate the function of Mlp124478 in plant 
cells. We established that Mlp124478 accumulates in the nucleus and nucleolus, however its nucleolar 
accumulation is not required to promote growth of the oomycete pathogen Hyaloperonospora 
arabidopsidis. Stable constitutive expression of Mlp124478 in A. thaliana repressed the expression of 
genes involved in immune responses, and also altered leaf morphology by increasing the waviness of 
rosette leaves. Chip-PCR experiments showed that Mlp124478 associats'e with the TGA1a-binding 
DNA sequence. Our results suggest that Mlp124478 exerts a virulence activity and binds the TGA1a 
promoter to suppress genes induced in response to pathogen infection. © 2018, The Author(s). 
Ahmed M.B., Santos K.C.G., Sanchez I.B., Petre B., Lorrain C., Plourde M.B., Duplessis S., Desgagné-Penix I., Germain H., 
(2018). A rust fungal effector binds plant DNA and modulates transcription. Scientific Reports, Vol. 8, ISSN: 20452322
A scheme for the simulation of networked agent systems modeled by timed 
hybrid Petri nets 
Gudiño-Mendoza B., López-Mellado E., Aguayo-Lara E. 
Article 
A novel scheme for simulating networked agent systems is presented. In this approach, the system is 
composed of identical communicating agents, which have multi-role capabilities in such a manner that 
they can perform diverse tasks, according to a given execution context. The agent’s behavior is 
modeled using a timed hybrid Petri net (THPN) whose evolution, valid for all the agents, is computed 
off-line using Matlab. The agents are interconnected and simulated in a Java platform using the JADE 
middle-ware. © The Author(s) 2017. 
Gudiño-Mendoza B., López-Mellado E., Aguayo-Lara E., (2018). A scheme for the simulation of networked agent systems 
modeled by timed hybrid Petri nets. Simulation, Vol. 94, pp. 887-909. ISSN: 375497
A solitary presentation of panniculitis in a patient with a history 
of breast cancer 
Garcia-Hernandez I., Lopez-Garcia C.A., Cardona - Huerta S., Ortiz-Lopez R., Tamez Salazar J.J., 
Canavati Marcos M., Esteban-Zubero E., Verdin Gonzalez D., Monroig-Bosque P.D.C., 
Gomez-Macias G.S. 
Article 
Introduction: Panniculits presents as an inflammation of the subcutaneous adipose tissue of the skin. 
In breast, panniculitis is very rare and is usually a manifestation of underlying inflammatory conditions. 
The typical presentation is palpable tender nodules, which in cases of breast panniculitis, triggers an 
extensive work up to exclude a malignancy. Herein we present a case of septal and lobar panniculitis 
in a female with clinical history of invasive ductal carcinoma. Presentation of the case: A 52-year old 
female with past medical history of invasive breast carcinoma 5 years prior to the presentation. The 
patient's chief complaint was a 1-year history of a subcutaneous nodular lesion on her left breast. A 
core biopsy of the firm nodule showed marked inflammation of the breast. A second skin biopsy 
showed an abundant chronic inflammatory infiltrate, with lymphocytic vasculitis and neuritis, 
suggestive of an underlying autoimmune process. Discussion: Subcutaneous panniculitis with or 
without vasculitis is a rare condition when presenting in the breast. Panniculitis can mimic malignancy 
and thus, it is important to differentially diagnose it from breast carcinoma. Histologically, it is classified 
in lobular and septal lymphocytic panniculitis depending on specific diagnostic characteristics. 
Conclusion: Panniculitis of the breast is a rare condition that needs to be included in the differential 
diagnosis of subcutaneous breast masses. In all cases, but specifically in females with history of breast 
cancer, panniculitis still should be thought of as a possibility, and imaging as well as other diagnostic 
techniques can aid in making the correct diagnosis. © 2018 The Author(s) 
Garcia-Hernandez I., Lopez-Garcia C.A., Cardona - Huerta S., Ortiz-Lopez R., Tamez Salazar J.J., Canavati Marcos M., 
Esteban-Zubero E., Verdin Gonzalez D., Monroig-Bosque P.D.C., Gomez-Macias G.S., (2018). A solitary presentation of 
panniculitis in a patient with a history of breast cancer. Annals of Medicine and Surgery, Vol. 36, pp. 54-57. ISSN: 20490801
A statistical background modeling algorithm for real-time pixel classification 
Acevedo-Ávila R., González-Mendoza M., Garcia-Garcia A. 
Article 
This paper introduces a statistical background pixel classifier intended for real-time and low-resource 
implementation. The algorithm works within a smart video surveillance application aimed to detect 
unattended objects in images with fixed backgrounds. The algorithm receives an input image and 
builds an initial background model based on image statistics. Using this information, the algorithm 
identifies new objects that do not belong to the original image. The algorithm categorizes image pixels 
in four possible classes: shadows, midtones, highlights and foreground pixels. The classification stage 
produces a binary mask where only objects of interest are shown. The pixel classifier processes Quarter 
VGA (320 x 240) gray-scale images at a nomial processing rate of 30 frames per second. Higher 
resolutions such as VGA (640 x 480) have been also tested. We compare results with traditional 
statistical background modeling methods. Our experiments demonstrate that our approach achieves 
successful background segmentationat a minimal resource consumption while maintaining realtime 
execution. © 2018 Instituto Politecnico Nacional. All rights reserved. 
Acevedo-Ávila R., González-Mendoza M., Garcia-Garcia A., (2018). A statistical background modeling algorithm for real-time 
pixel classification. Computacion y Sistemas, Vol. 22, pp. 917-927. ISSN: 14055546
A strategic perspective on the implementation of inclusive businesses: 
The experience of Ecuadorian firms 
Arroyo P., Pesantes-Burgos V., Carrete L. 
Article 
This study analyses the viability of inclusive business models as a strategic corporate social 
responsibility (CSR) action with the potential to balance business and social objectives. A qualitative 
approach was used to gather information from leading Ecuadorian firms with visible CSR activities. The 
strategic CSR framework proposed by Burke and Logsdon was used to analyse whether the inclusive 
business models used by Ecuadorian firms qualify as strategic opportunities with dual benefits. The 
case analysis confirms that inclusive businesses are social initiatives that are also recognised as viable 
business opportunities. However, current projects reproduce the models of leading multinationals and 
provide only temporary strategic advantages and indeterminate social benefits that are subject to 
organisational outcomes. The strategic recommendations are compared with empirical accounts to 
outline a conceptual framework for the implementation and management of inclusive business 
projects. The framework is oriented towards the achievement of the full potential value of these 
models. Copyright © 2018 Inderscience Enterprises Ltd. 
Arroyo P., Pesantes-Burgos V., Carrete L., (2018). A strategic perspective on the implementation of inclusive businesses: The 
experience of Ecuadorian firms. International Journal of Management Practice, Vol. 11, pp. 190-217. ISSN: 14779064
A study of the effects of advanced driver assistance systems alerts 
on driver performance 
Izquierdo-Reyes J., Ramirez-Mendoza R.A., Bustamante-Bello M.R. 
Article 
This paper deals with the application of interactive engineering through an electroencephalogram 
(EEG) to detect the level of distraction or concentration of drivers of automotive vehicles. In particular, 
for the case of alerts, signals or outputs emitted by an advanced driver assistance systems (ADAS) in 
the intelligent transportation systems context. To do that and based on the state-of-the-art, an 
experimental protocol to detect distraction by using EEG signals of driver has been developed. Finally, 
the goal is to detect if drivers paid attention on the road when different kinds of alerts are emitted by 
the ADAS. In terms of signal processing, the challenge was the noise level in EEG records due to quality 
of road that had some bumpers and potholes that add noise in records due to movements of drivers. 
With the proposed protocol, the efficiency and utility of ADAS can be evaluated by designers to create 
new adaptable cabins to provide the driver a better driving environment reducing distractions 
according to the neurological profile. New perspectives and discussion are formulated in this paper, 
for example, to enhance the interactive design of the automotive vehicle cabins. © 2017, Springer-
Verlag France. 
Izquierdo-Reyes J., Ramirez-Mendoza R.A., Bustamante-Bello M.R., (2018). A study of the effects of advanced driver 
assistance systems alerts on driver performance. International Journal on Interactive Design and Manufacturing, Vol. 12, pp. 
263-272. ISSN: 19552513
A study of the sensitivity of sequence stacking strategies for the storage 
location assignment problem for out-bound containers in a maritime terminal 
Guerra-Olivares R., Smith N.R., González-Ramírez R.G., Cárdenas-Barrón L.E. 
Article 
Recently, a new approach to solve the outbound container location problem motivated by the 
Shanghai maritime terminals was published. This approach addresses the problem by decomposing it 
into two stages. The first stage is a mathematical programming model and the second stage is a 
heuristic algorithm whose objective is to minimize the total reshuffle movements executed during the 
loading operation. That study reports that the diagonal stacking configuration provides the best 
performance. Conversely, this paper documents the results of a study to observe the performance of 
the various staking strategies under different conditions that can occur regularly in real ports. The 
parameters that are varied are the number of tiers in each stack, the number of container weight 
levels, and the permitted bay utilization. The results show that although the diagonal stacking strategy 
does provide the best performance under some conditions, it does not yield the best performance in 
other parameter combinations. The horizontal strategy is found to perform best for most of the 
parameter combinations considered in this study. © 2018, The Society for Reliability Engineering, 
Quality and Operations Management (SREQOM), India and The Division of Operation and 
Maintenance, Lulea University of Technology, Sweden. 
Guerra-Olivares R., Smith N.R., González-Ramírez R.G., Cárdenas-Barrón L.E., (2018). A study of the sensitivity of sequence 
stacking strategies for the storage location assignment problem for out-bound containers in a maritime terminal. 
International Journal of Systems Assurance Engineering and Management, Vol. 9, pp. 1057-1062. ISSN: 9756809
A subject-specific kinematic model to predict human motion in exoskeleton-
assisted gait 
Torricelli D., Cortés C., Lete N., Bertelsen Á., Gonzalez-Vargas J.E., Del-Ama A.J., Dimbwadyo I., 
Moreno J.C., Florez J., Pons J.L. 
Article 
The relative motion between human and exoskeleton is a crucial factor that has remarkable 
consequences on the efficiency, reliability and safety of human-robot interaction. Unfortunately, its 
quantitative assessment has been largely overlooked in the literature. Here, we present a methodology 
that allows predicting the motion of the human joints from the knowledge of the angular motion of 
the exoskeleton frame. Our method combines a subject-specific skeletal model with a kinematic model 
of a lower limb exoskeleton (H2, Technaid), imposing specific kinematic constraints between them. To 
calibrate the model and validate its ability to predict the relative motion in a subject-specific way, we 
performed experiments on seven healthy subjects during treadmill walking tasks. We demonstrate a 
prediction accuracy lower than 3.5° globally, and around 1.5° at the hip level, which represent an 
improvement up to 66% compared to the traditional approach assuming no relative motion between 
the user and the exoskeleton. Copyright © 2018 Torricelli, Cortés, Lete, Bertelsen, Gonzalez-Vargas, 
del-Ama, Dimbwadyo, Moreno, Florez and Pons. 
Torricelli D., Cortés C., Lete N., Bertelsen Á., Gonzalez-Vargas J.E., Del-Ama A.J., Dimbwadyo I., Moreno J.C., Florez J., Pons 
J.L., (2018). A subject-specific kinematic model to predict human motion in exoskeleton-assisted gait. Frontiers in 
Neurorobotics, Vol. 12, ISSN: 16625218
A survey on stereo vision-based autonomous navigation for multi-rotor MUAVs 
Sanchez-Rodriguez J.-P., Aceves-Lopez A. 
Article 
This paper presents an overview of the most recent vision-based multi-rotor micro unmanned aerial 
vehicles (MUAVs) intended for autonomous navigation using a stereoscopic camera. Drone operation 
is difficult because pilots need the expertise to fly the drones. Pilots have a limited field of view, and 
unfortunate situations, such as loss of line of sight or collision with objects such as wires and branches, 
can happen. Autonomous navigation is an even more difficult challenge than remote control 
navigation because the drones must make decisions on their own in real time and simultaneously build 
maps of their surroundings if none is available. Moreover, MUAVs are limited in terms of useful 
payload capability and energy consumption.