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Anti-inflammatory potential of human corneal stroma-derived stem cells determined by a novel in vitro corneal epithelial injury model

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World Journal of Stem Cells 2019年第2期11卷 84-99页

作者： mariana lizeth orozco morales Nagi M Marsit Owen D McIntosh Andrew Hopkinson Laura E Sidney Academic Ophthalmology Division of Clinical Neuroscience University of Nottingham

BACKGROUND An in vitro injury model mimicking a corneal surface injury was optimised using human corneal epithelial cells(hCEC).AIM To investigate whether corneal-stroma derived stem cells(CSSC) seeded on an amniotic membrane(AM) construct manifests an anti-inflammatory, healing *** Treatment of hCEC with ethanol and pro-inflammatory cytokines were compared in terms of viability loss, cytotoxicity, and pro-inflammatory cytokine release, in order to generate the in vitro injury. This resulted in an optimal injury of 20%(v/v) ethanol for 30 s with 1 ng/mL interleukin-1(IL-1) beta. Co-culture experiments were performed with CSSC alone and with CSSC-AM *** effect of injury and co-culture on viability, cytotoxicity, IL-6 and IL-8 production, and IL1 B, TNF, IL6, and CXCL8 mRNA expression were *** Co-culture with CSSC inhibited loss of hCEC viability caused by injury. Enzyme linked immunosorbent assay and polymerase chain reaction showed a significant reduction in the production of IL-6 and IL-8 pro-inflammatory cytokines, and reduction in pro-inflammatory cytokine mRNA expression during co-culture with CSSC alone and with the AM construct. These results confirmed the therapeutic potential of the CSSC and the possible use of AM as a cell carrier for application to the ocular *** CSSC were shown to have a potentially therapeutic anti-inflammatory effectwhen treating injured hCEC, demonstrating an important role in corneal regeneration and wound healing, leading to an improved knowledge of their potential use for research and therapeutic purposes.

关键词： Cornea Corneal injuries Injury model epithelium stromaderived stem cells Amnion Anti-inflammatory Cell therapy

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Methodology for the disaggregation and forecast of demand flexibility in large consumers with the application of non-intrusive load monitoring techniques

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Energy and AI 2023年第3期13卷 88-103页

作者： Marco Toledo-orozco C.Celi F.Guartan Arturo Peralta Carlos Alvarez-Bel D.morales Institute for Energy Engineering Universitat Politecnica de Val`enciaCamino de VeraValencia46022Spain Electrical Engineering Career Universidad Politecnica SalesianaSede Cuenca010103Ecuador Electrical Engineering Career Circular Economy Laboratory-CIITTUniversidad Catolica de CuencaSede Cuenca010107Ecuador

Technological advances,innovation and the new industry 4.0 paradigm guide Distribution System Operators towards a competitive market that requires the articulation of flexible demand response *** lack of measurement and standardization systems in the industry process chain in developing countries prevents the penetration of demand management models,generating inefficiency in the analysis and processing of informa-tion to validate the flexibility potential that large consumers can contribute to the network *** this sense,the research uses as input variables the energy and power of the load profile provided by the utility energy meter to obtain the disaggregated forecast in quarter-hour intervals in 4-time windows validated through metrics and its results evaluated by the RMS error to get the total error generated by the methodology with the appli-cation of Machine Learning and Big Data techniques in the Python computational tool through Combinatorial Disaggregation Optimization and Factorial Hidden Markov models.

关键词： Big data Combinatorial optimization Factorial hidden Markov model Machine learning Non-intrusive load monitoring Time of use tariffs

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Bioluminescent nanopaper for rapid screening of toxic substances

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Nano Research 2018年第1期11卷 114-125页

作者： Jie Liu Eden morales-Narvaez Jahir orozco Teresa vicent Guohua Zhong Arben Merkoci Catalan Institute of Nanoscience and Nanotechnology (ICN2) CSIC and the Barcelona Institute of Science and Technology Campus UAB Bellaterra 08193 Barcelona Spain Laboratory of Insect Toxicology Key Laboratory of Pesticide and Chemical Biology Ministry of Education South China Agricultural University Guangzhou 510642 China Departamentd'Enginyeria Quimica UniversitatAutOnoma de Barcelona Bellaterra Barcelona 08193 Spain ICREA Pg. Llufs Companys 23 08010 Barcelona Spain

Environmental pollution is threatening human health and ecosystems as a result of modern agricultural techniques and industrial progress. A simple nanopaper-based platform coupled with luminescent bacteria Aliivibrio Jischeri （A. Jischeri） as a bio-indicator is presented here, for rapid and sensitive evaluation of contaminant toxicity. When exposed to toxicants, the luminescence inhibition of A. Jischeri-decorated bioluminescent nanopaper （BLN） can be quantified and analyzed to classify the toxicity level of a pollutant. The BLN composite was characterized in terms of morphology and functionality. Given the outstanding biocompatibility of nanocellulose for bacterial proliferation, BLN achieved high sensitivity with a low cost and simplified procedure compared to conventional instruments for laboratory use only. The broad applicability of BLN devices to environmental samples was studied in spiked real matrices （lake and sea water）, and their potential for direct and in situ toxicity screening was demonstrated. The BLN architecture not only survives but also maintains its function during freezing and recycling processes, endowing the BLN system with competitive advantages as a deliverable, ready-to-use device for large-scale manufacturing. The novel luminescent bacteria-immobilized, nanocelullose-based device shows outstanding abilities for toxicity bioassays of hazardous compounds, bringing new possibilities for cheap and efficient environmental monitoring of potential contamination.

关键词： bacterial nanocellulose nanopaper Aliivibrio jqscheri bioluminescent device toxicity bioassay

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Optimized Convolutional Neural Network Models for Skin Lesion Classification

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Computers, Materials & Continua 2022年第2期70卷 2131-2148页

作者： Juan Pablo Villa-Pulgarin Anderson Alberto Ruales-Torres Daniel Arias-GarzónMario Alejandro Bravo-Ortiz Harold Brayan Arteaga-Arteaga Alejandro Mora-RubioJesus Alejandro Alzate-Grisales Esteban Mercado-Ruiz M.Hassaballah Simon orozco-Arias Oscar Cardona-morales Reinel Tabares-Soto Department of Electronics and Automation Universidad Autónoma deManizalesManizales170001Colombia SEDMATEC Corporación Universitaria Autónoma de Nari駉Pasto520002Colombia Department of Computer Science Faculty of Computers and InformationSouth Valley UniversityQena83523Egypt Department of Computer Science Universidad Autónoma de ManizalesManizales170001Colombia Department of Systems and Informatics Universidad de CaldasManizales170001Colombia

Skin cancer is one of themost severe diseases,andmedical imaging is among themain tools for cancer *** images provide information on the evolutionary stage,size,and location of tumor *** paper focuses on the classification of skin lesion images considering a framework of four experiments to analyze the classification performance of Convolutional Neural Networks(CNNs)in distinguishing different skin *** CNNs are based on transfer learning,taking advantage of ImageNet ***,in each experiment,different workflow stages are tested,including data augmentation and fine-tuning *** CNN models based on DenseNet-201,Inception-ResNet-V2,and Inception-V3 are proposed and compared using the HAM10000 *** results obtained by the three models demonstrate accuracies of 98%,97%,and 96%,***,the best model is tested on the ISIC 2019 dataset showing an accuracy of 93%.The proposed methodology using CNN represents a helpful tool to accurately diagnose skin cancer disease.

关键词： Deep learning skin lesion convolutional neural network data augmentation transfer learning

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Mesoscopic model for binary fluids

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Frontiers of physics 2017年第5期12卷 231-239页

作者： C. Echeverria K. Tucci O. Alvarez-Llamoza E. E. orozco-Guillén5 M. morales M. G. Cosenza CeSiMo Universidad de Los Andes Mérida 5251 Mérida Venezuela Grupo de Caos y Sistemas Complejos Centro de Fisica Fundamental Universidad de Los Andes Mérida Venezuela Departamento de Fisica FACYT Universidad de Carabobo Valencia Venezuela Facultad de Ingenierla Universidad Católica de Cuenca Ecuador programa Académico de Ingenierla en Energla Universidad Politécnica de Sinaloa 82199 Mazatldn Mexico Programa Académico de Ingenierla en Nanoteenologla Universidad Politécnica de Sinaloa 82199 Mazatldn Mexico

We propose a model for studying binary fluids based on the mesoscopic molecular simulation technique known as multiparticle collision, where the space and state variables are continuous, and time is discrete. We include a repulsion rule to simulate segregation processes that does not require calculation of the interaction forces between particles, so binary fluids can be described on a mesoscopic scale. The model is conceptually simple and computationally efficient; it maintains Galilean invariance and conserves the mass and energy in the system at the micro- and macro-scale, whereas momentum is conserved globally. For a wide range of temperatures and densities, the model yields results in good agreement with the known properties of binary fluids, such as the density profile, interface width, phase separation, and phase growth. We also apply the model to the study of binary fluids in crowded environments with consistent results.

关键词： multiparticle collision dynamics mesoscopic models phase separation interface dynamics

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Judgment Formation towards Health Risk Behaviors Concerning Obesity: An Integration Information Theory Approach

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Health 2017年第7期9卷 1047-1053页

作者： Aida A. Jimenez-Martinez Perla lizeth Hernandez-Cortes Guadalupe E. morales-Martinez Ernesto O. Lopez-Ramirez Autonomous University of Tamaulipas (UAT) Matamoros México Department of Nursing Autonomous University of Nuevo Leon (UANL) Monterrey Mexico Cognitive Science Laboratory Institute of Research on the University and Education National Autonomous University of Mexico (UNAM IISUE) Ciudad de Mexico Mexico Department of Psychology Autonomous University of Nuevo Leon (UANL) Monterrey Mexico

A sample of 80 secondary students was required to take an information integration theory study to explore judgment formation toward health risk behavior regarding obesity. Here, twelve social scenarios containing a simulated actor were implemented (vignettes) having in mind a three factor experimental factor design (diet, weight and physical activity). Subjects had to read each vignette and provide an answer by marking ten points anchored scale to provide judgment on actors’ possible health risk outcome. Results showed that study participants valuated diet as the most relevant factor, followed by the description of weight and finally followed by the factor of physical activity. They impose systematic thinking to integrate different sources of information provided by factor manipulation in the vignettes by using a cognitive summative rule. Implications of this study result to clinical intervention in obesity as well as for theoretical considerations of cognitive models of health risk behavior are discussed in the present article.

关键词： Obesity Cognitive Specification Judgment Formation Information Integration Theory Cognitive Algebra

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Automatic Information Processing Bias to Stress Factors by Older Adults with and without Diabetes

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Advances in Aging Research 2014年第3期3卷 230-238页

作者： Perla lizeth Hernández-Cortés López Ramírez Ernesto Octavio Guadalupe Elizabeth morales Martínes Bertha Cecilia Salazar-González Department of Psychology Universidad Autonoma de Nuevo León San Nicolás de los Garza Mexico School of Nursing Universidad Autonoma de Nuevo Leon San Nicolás de los Garza Mexico

A sample of 65 older adults (with and without diabetes) as well as a sample of 84 healthy young people were required to take affective priming studies to compare recognition latencies of stress related word pairs against recognition latencies of positive, negative and neutral word pairs. Moreover, older adults took a stress questionnaire related to relevant disturbing events in the third age. The goal was to test any automatic emotional processing bias to these events. Results suggested that even when people with diabetes obtained low stress test scores, they showed automatic cognitive bias to process stressful events differently than older adults without diabetes and young people. This suggested that people with diabetes patients’ controlled strategies to cope with stress might not be aware of such an automatic cognitive bias. It is argued that this information processing style to stressful events makes patients prone to cognitive emotional vulnerability.

关键词： Aging Positivity Diabetes Stress Automatic Cognitive Bias

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Systematic Thinking Underlying People with Diabetes’ Beliefs on Health Outcomes: An Information Integration Theory Approach

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Advances in Aging Research 2014年第4期3卷 310-317页

作者： Perla lizeth Hernández-Cortés Guadalupe Elizabeth morales Martínes López Ramírez Ernesto Octavio Bertha Cecilia Salazar-González Department of Psychology Universidad Autonoma de Nuevo León San Nicolás de los Garza Mexico School of Nursing Universidad Autonoma de Nuevo Leon San Nicolás de los Garza Mexico

A sample of 76 older adults (27 with diabetes and 49 without diabetes) were selected to judge three information factors, metamemory related to—drug organization—stress and physical activity in relation to their perception of self-care. In order to do so, an Integration Information Theory was considered to determine systematic cognitive algebra rules underlying judgment about 24 different health self-care scenarios. Results indicate that older adults without diabetes use a summative cognitive rule to integrate relevant health information but older adults with diabetes do not. Both groups agreed that metamemory was the most relevant factor to their self-care followed by stress and physical activity. However, valuation of these factors does depend on the type of group. Implications of these results to healthcare a behavioral nursing intervention are discussed in this paper.

关键词： Diabetes Health Prediction Models Information Integration Theories (IIT) Functional Measurement

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Effect of dichloromethylene diphosphonate on liver regeneration following thioacetamide-induced necrosis in rats

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World Journal of Hepatology 2013年第7期5卷 379-386页

作者： Mirandeli Bautista María ngeles Gómez del Rio Juana Benedí María Isabel Sánchez-Reus José A morales-González Ana María Téllez-López Maricela López-orozco rea Académica de Farmacia Instituto de Ciencias de la Salud Universidad Autónoma del Estado de Hidalgo Departamento de Bioquímica y Biología Molecular Facultad de Farmacia Ciudad Universitaria Departamento de Farmacología Facultad de Farmacia Ciudad Universitaria Escuela Superior de Medicina Instituto Politécnico Nacional

AIM: To study the effect of dichloromethylene diphos-phonate (DMDP), a selective Kupffer cell toxicant in reference to liver damage and postnecrotic liver regeneration in rats induced by sublethal dose thioacetamide (TA). METHODS: Rats, intravenously (iv ) pre-treated with a single dose of DMDP (10 mg/kg), were intraperitoneally (ip ) injected with TA 6.6 mmol/kg (per 500 mg/kg body weight). Hepatocytes were isolated from rats at 0, 24, 48 and 72 h following TA intoxication and blood and liver samples were obtained. To evaluate the mecha-nisms involved in the postnecrotic regenerative state, DNA distribution and ploidy time course were assayed in isolated hepatocytes. Circulating cytokine tumor necrosis factor-alpha (TNF-α) was assayed in serum and determined by reverse transcriptase-polymerase chain reaction in liver extract. RESULTS: The effect of DMDP induced noticeable changes in postnecrotic regeneration, causing an increased percentage of hepatocytes in the cell cycle S phase. The increase at 24 h in S1 population in rats pretreated with DMDP + TA was significantly (P < 0.05) different compared with that of the TA group (18.07% vs 8.57%). Hepatocytes increased their proliferation as a result of these changes. Also, TNF-α expression and serum level were increased in rats pre-treated with DMDP. Thus, DMDP pre-treatment reduced TA-induced liver injury and accelerated postnecrotic liver regeneration. CONCLUSION: These results demonstrate that Kupffer cells are involved in TA-induced liver, as well as in post-necrotic proliferative liver states.

关键词： Dichloromethylene diphosphonate Kupffer cells Thioacetamide Hepatotoxicity Cell cycle

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