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Electrochemical Corrosion Study in H₂SO₄ of NiAl with Cu Additions, Microstructure and Micro-Hardness at Room Temperature

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Journal of Minerals and Materials Characterization and Engineering 2022年第3期10卷 225-241页

作者： Jesús M. Colín de la Cruz Sergio A. Serna Barquera Alvaro Torres-Islas arturo molina-ocampo Edgar Valenzuela José G. González Rodríguez Universidad Autónoma del Estado de Morelos Facultad de Ciencias Químicas e Ingeniería UAEM-FCQeI. Av. Universidad 1001Colonia Chamilpa Cuernavaca Morelos México Universidad Autónoma del Estado de Morelos Centro de Investigación en Ingeniería y Ciencias Aplicadas UAEM-CIICAp Cuernavaca Morelos México UABC Baja California Sur México

For many years, intermetallic materials promise applications in a wide variety of technology areas. NiAl intermetallic compound is material that exhibits important characteristics such as high corrosion resistance and low density besides its ability to retain strength and stiffness at elevated temperatures. However NiAl intermetallic is too hard, brittle and exhibits very low ductility at room temperature being the reason because this material is not yet available for structural applications. In order to increase the ductility of the NiAl intermetallic compound, the addition of a third alloying element has been proved, nevertheless it is important to determine if such additions decrease or increase the hardness and the corrosion resistance of the alloy. So, the present investigation reports the corrosion performance of the NiAl intermetallic compound modified with Cu, emphasizing the EIS analysis and the relation between physical parameters and the modelling equations used in the Equivalent Electric Circuit. It was found that the addition of Cu promotes the formation of the γ’-Ni3Al phase in Cu contents greater than 15 at. %, in addition to a decrease in micro hardness and an increment in the Icorr values. In this way, the electrochemical characterization evidenced a high corrosion resistance of these intermetallic alloys.

关键词： NiAl-Cu Corrosion Behavior Electrochemical Impedance Spectrum Vickers Micro Hardness Microstructure

Effect of the Substitution of Sand by Rubber of Waste Tires on the Mechanical Properties of Hydraulic Concrete and Exposure to Gamma Radiation

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Journal of Minerals and Materials Characterization and Engineering 2021年第3期9卷 245-256页

作者： Jesús M. Colín de la Cruz Carmen Gabriela Guzmán Fermín Castillo Mejía Benjamin Leal Acevedo Osvaldo Flores Cedillo Isabel Gamboa de Buen arturo molina ocampo Horacio Martínez Valencia Facultad de Ciencias Químicas e Ingeniería Universidad Autónoma del Estado de Morelos Cuernavaca México Laboratorio de Espectroscopia Instituto de Ciencias Físicas Universidad Nacional Autónoma de México Cuernavaca México Instituto de Ciencias Nucleares Universidad Nacional Autónoma de México México City México Centro de Investigación en Ingeniería y Ciencias Aplicadas UAEM Cuernavaca México

For a long time and until now, rubber is the most used material for the manufacture of tires for motor vehicles. Unfortunately, once the tire meets its life cycle, the remaining rubber cannot be recycled, so the tires are discarded in collection centers and often in clandestine dumps. This represents a serious environmental problem because, in one case, these waste tires become breeding grounds for insects and wildlife that is harmful to humans. In the second case, the tires are burned, releasing highly damaging gases into the atmosphere. On the other hand, concrete is worldwide the construction material par excellence. It is basically composed of cement, gravel and sand. Mixing these three components in different proportions, their mechanical strength in compression can be increased. However, due to its fragile nature, concrete, once a crack is formed, it rapidly advances by fragmenting the material and producing its rapid collapse. In the present work, in order contribute to the care of the environment as well as to modify the fracture mode of the concrete, rubber particles obtained from waste tires were used as sand substitute in hydraulic concrete. In addition, rubber modified samples concrete were lately exposed to 70 kGy of gamma radiation in order to study the effects of this radiation on the mechanical deformation of concrete. The results showed a decrease in the mechanical properties of the concrete with rubber particles with respect to the traditional concrete itself. However, such decreases were offset by the fact that samples with rubber addition do not collapses as fast as the free rubber samples. The acquired data pave the way for research with great benefits, such as the use of recycled tires in concrete for its fracture mode modification in a beneficial way, as well as a possible decrease in the cost of concrete.

关键词： Hydraulic Concrete Scrap Tire Rubber Strength Gamma Radiation Mechanical Properties

In Silico Pipeline to Identify Tumor‑Specific Antigens for Cancer Immunotherapy Using Exome Sequencing Data

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Phenomics 2023年第2期3卷 130-137页

作者： Diego Morazán‑Fernández Javier Mora Jose arturo molina‑Mora Caja Costarricense de Seguro Social San José10104Costa Rica Centro de Investigación de Enfermedades Tropicales Centro de Investigación en Cirugía y Cáncerand Facultad de MicrobiologíaUniversidad de Costa RicaSan José2060Costa Rica

Tumor-specific antigens or neoantigens are peptides that are expressed only in cancer cells and not in healthy *** of these molecules can induce an immune response,and therefore,their use in immunotherapeutic strategies based on cancer vaccines has been extensively *** based on these approaches have been triggered by the current high-throughput DNA sequencing ***,there is no universal nor straightforward bioinformatic protocol to discover neoan-tigens using DNA sequencing ***,we propose a bioinformatic protocol to detect tumor-specific antigens associated with single nucleotide variants(SNVs)or“mutations”in tumoral *** this purpose,we used publicly available data to build our model,including exome sequencing data from colorectal cancer and healthy cells obtained from a single case,as well as frequent human leukocyte antigen(HLA)class I alleles in a specific *** data from Costa Rican Central Valley population was selected as an *** strategy included three main steps:(1)pre-processing of sequencing data;(2)variant calling analysis to detect tumor-specific SNVs in comparison with healthy tissue;and(3)prediction and characterization of peptides(protein fragments,the tumor-specific antigens)derived from the variants,in the context of their affinity with frequent alleles of the selected *** our model data,we found 28 non-silent SNVs,present in 17 genes in chromosome *** protocol yielded 23 strong binders peptides derived from the SNVs for frequent HLA class I alleles for the Costa Rican *** the analyses were performed as an example to implement the pipeline,to our knowledge,this is the first study of an in silico cancer vaccine using DNA sequencing data in the context of the HLA *** is concluded that the standardized protocol was not only able to identify neoantigens in a specific but also provides a complete pipeline for the eventual design of cancer vaccines using

关键词： Neopeptide Colorectal cancer Cancer vaccine Neoantigens Human leukocyte antigen Costa Rica

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

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Frontiers in Energy 2019年第3期13卷 522-538页

作者： Pedro PONCE Therese PEFFER arturo molina Tecnologico de Monterrey calle del puente 222 MexicoMexico CityNon-US/Non-Canadian 64849Mexico California Institute for Energy and Environment University of California BerkeleyBerkeleyCA 94720USA

It is well known that smart thermostats (STs) have become key devices in the implementation of smart homes;thus, they are considered as primary elements for the control of electrical energy consumption in households. Moreover, energy consumption is drastically affected when the end users select unsuitable STs or when they do not use the STs correctly. Furthermore, in future, Mexico will face serious electrical energy challenges that can be considerably resolved if the end users operate the STs in a correct manner. Hence, it is important to carry out an in-depth study and analysis on thermostats, by focusing on social aspects that influence the technological use and performance of the thermostats. This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square (CS) test in order to understand the perceptions and beliefs of end users about the use of STs in Mexico. This paper extensively shows the perceptions and beliefs about the selected thermostats in Mexico. Besides, it presents an in-depth discussion on the cognitive perceptions and beliefs of end users. Moreover, it shows why the expectations of the end users about STs are not met. It also promotes the technological and social development of STs such that they are relatively more accepted in complex electrical grids such as smart grids.

关键词： thermostats perceptions beliefs signal detection theory (SDT) fuzzy signal detection theory (FSDT) chi-square (CS) test

Clinical Profiles at the Time of Diagnosis of SARS-CoV-2 Infection in Costa Rica During the Pre-vaccination Period Using a Machine Learning Approach

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Phenomics 2022年第5期2卷 312-322页

作者： Jose arturo molina-Mora Alejandra González Sergio Jiménez-Morgan Estela Cordero-Laurent Hebleen Brenes Claudio Soto-Garita Jorge Sequeira-Soto Francisco Duarte-Martínez Centro de Investigación en Enfermedades Tropicales(CIET)and Facultad de Microbiología Universidad de Costa RicaSan José2060Costa Rica Instituto Costarricense de Investigación y Enseñanza en Nutrición y Salud(INCIENSA) Tres Ríos 30301Costa Rica Escuela de Medicina Universidad de Costa RicaSan José2060Costa Rica

The clinical manifestations of COVID-19,caused by the SARS-CoV-2,define a large spectrum of symptoms that are mainly dependent on the human host *** Costa Rica,more than 169,000 cases and 2185 deaths were reported during the year 2020,the pre-vaccination *** describe the clinical presentations at the time of diagnosis of SARS-CoV-2 infection in Costa Rica during the pre-vaccination period,we implemented a symptom-based clustering using machine learning to identify clusters or clinical profiles at the population level among 18,974 records of positive *** were compared based on symptoms,risk factors,viral load,and genomic features of the SARS-CoV-2 sequence.A total of 18 symptoms at time of diagnosis of SARS-CoV-2 infection were reported with a frequency>1%,and those were used to identify seven clinical profiles with a specific composition of clinical *** the comparison between clusters,a lower viral load was found for the asymptomatic group,while the risk factors and the SARS-CoV-2 genomic features were distributed among all the *** other distribution patterns were found for age,sex,vital status,and *** conclusion,during the pre-vaccination time in Costa Rica,the symptoms at the time of diagnosis of SARS-CoV-2 infection were described in clinical *** host co-morbidities and the SARS-CoV-2 genotypes are not specific of a particular profile,rather they are present in all the groups,including asymptomatic *** addition,this information can be used for decision-making by the local healthcare institutions(first point of contact with health professionals,case definition,or infrastructure).In further analyses,these results will be compared against the profiles of cases during the vaccination period.

关键词： COVID-19 Costa Rica Machine learning Diagnosis SARS-CoV-2 Clinical profiles

A Transactive Energy Model for Smart Metering Systems Using Blockchain

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CSEE Journal of Power and Energy Systems 2021年第5期7卷 943-953页

作者： Juan C.Olivares-Rojas Enrique Reyes-Archundia Jose A.Gutierrez-Gnecchi Ismael molina-Moreno Jaime Cerda-Jacobo arturo Mendez-Patino National Technological Institute of Mexico/Technological Institute of Morelia-Division of Graduate Studies and Research MoreliaMichoacan 58120Mexico. School of Electrical Engineering Michoacan University of San Nicolas de HidalgoMorelia 58030.Mexico

The lowering cost of electricity generation technologies by renewable means has caused the role of end-users to change from being a simple consumer to a producer of their *** new role has been called a prosumer and has contributed to modifying electricity markets,by allowing prosumers to merchandize the energy surplus to electricity companies and other *** fundamental key to any economic transaction is trust between the ***,new technologies,such as blockchain,are transforming transaction security,and allowing decentralization of the smart power *** study presents the development of a transactional model of electrical energy using the infrastructure of smart metering and blockchain systems to allow the commercialization of electrical energy by *** results show that for the Mexican electricity market,they can he good alternatives hy reducing subsidies and being more profitable than current rates.

关键词： Data visualization fault diagnosis IoT network photovoltaic system wireless remote monitoring

Submegahertz spectral width photon pair source based on fused silica microspheres

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Photonics Research 2021年第11期9卷 2237-2252页

作者： ERASTO ORTIZ-RICARDO CESAR BERTONI-ocampo MONICA MALDONADO-TERRON arturo GARCIA ZURITA ROBERTO RAMIREZ-ALARCON HECTOR CRUZ RAMIREZ R.CASTRO-BELTRAN ALFRED B.U’REN Instituto de Ciencias Nucleares Universidad Nacional Autonoma de MexicoApartado Postal 70-54304510 MexicoD.F.Mexico Centro de Investigaciones en Optica A.C. Loma del Bosque 115Colonia Lomas del Campestre37150 LeonGuanajuatoMexico Departamento de Ingenieria Fisica Cuerpo Academico de Mecanica EstadisticaDivison de Ciencias e IngenieriasUniversidad de Guanajuato37150 LeonGuanajuatoMexico

High-efficiency submegahertz bandwidth photon pair generators will enable the field of quantum technology to transition from laboratory demonstrations to transformational applications involving information transfer from photons to *** spontaneous parametric processes are able to achieve high-efficiency photon pair generation,the spectral bandwidth tends to be relatively large,as defined by phase-matching *** solve this fundamental limitation,we use an ultrahigh quality factor(Q)fused silica microsphere resonant cavity to form a photon pair *** present the full theory for the spontaneous four-wave mixing(SFWM)process in these devices,fully taking into account all relevant source characteristics in our *** exceptionally narrow(down to kilohertz-scale)linewidths of these devices result in a reduction in the bandwidth of the photon pair generation,allowing submegahertz spectral bandwidth to be ***,using a pump source centered around 1550 nm,photon pairs with the signal and idler modes at wavelengths close to 1540 and 1560 nm,respectively,are *** herald a single idler-mode photon by detecting the corresponding signal photon,filtered via transmission through a wavelength division multiplexing channel of *** demonstrate the extraction of the spectral profile of a single peak in the single-photon frequency comb from a measurement of the signal–idler time of emission *** improvements in device design and experimental methods enabled the narrowest spectral width(Δν=366 k Hz)to date in a heralded single-photon source based on SFWM.

关键词： fused silica spectral

Hardware Type 2 Fuzzy Logic Position Controller Based on Karnik-Mendel Algorithms

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Journal of Control Science and Engineering 2013年第1期1卷 1-12页

作者： Pedro Ponce-Cruz arturo molina arturo Tellez-Velazquez Tecnologico de Monterrey Distrito Federal 07240 Mexico

Molecular Determinants of Antibiotic Resistance in the Costa Rican Pseudomonas aeruginosa AG1 by a Multi-omics Approach:A Review of 10 Years of Study

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Phenomics 2021年第3期1卷 129-142页

作者： Jose arturo molina-Mora Fernando García Centro de Investigación en Enfermedades Tropicales(CIET)&Facultad de Microbiología Universidad de Costa RicaSan JoséCosta Rica

Pseudomonas aeruginosa AG1(PaeAG1)is a Costa Rican strain that was isolated in 2010 in a major *** strain has resistance to multiple antibiotics such asβ-lactams(including carbapenems),aminoglycosides,and ***1 is considered critical(Priority 1)due to its resistance to carbapenems,and it was the first report of a *** isolate carrying both VIM-2 and IMP-18 genes encoding for metallo-β-lactamases(MBL)enzymes(both with carbapenemase activity).Owing to these traits,we have studied this model for 10 years using diverse approaches including *** this review,we summarize the main points of the different steps that we have studied in PaeAG1:preliminary analyses of this strain at the genomic and phenomic levels revealed that this microorganism has particular features of antibiotic *** the multi-omics approach,the genome assembly was the initial step to identify the genomic determinants of this strain,includ-ing virulence factors,antibiotic resistance genes,as well as a complex accessory ***,a comparative genomic approach was implemented to define and update the phylogenetic relationship among complete *** genomes,the genomic island content in other strains,and the architecture of the two MBL-carrying ***,the proteomic profile of PaeAG1 was studied after exposure to antibiotics using 2-dimensional gel electrophoresis(2D-GE).Fourth,to study the central response to multiple perturbations in ***,i.e.,the core perturbome,a machine learning approach was *** analysis revealed biological functions and determinants that are shared by different ***,to evaluate the effects of ciprofloxacin(CIP)on PaeAG1,a growth curve comparison,differential expression analysis(RNA-Seq),and network analysis were *** the results of the core perturbome(pathways that also were found in this perturbation with CIP),it was possible to identify the“exclusive”response and determina

关键词： Pseudomonas aeruginosa PaeAG1 Antibiotic resistance Multi-omics High risk