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World Journal of Gastroenterology 2021年第38期27卷 6399-6414页

作者： Michelle Viscaino javier torres bustos Pablo Muñoz Cecilia Auat Cheein Fernando Auat Cheein Department of Electronic Engineering Universidad Tecnica Federico Santa MariaValpaiso 2340000Chile Hospital Clinico University of ChileSantiago 8380456Chile Facultad de Medicina Universidad Nacional de Santiago del EsteroSantiago del Estero 4200Argentina Department of Electronic Engineering Universidad Técnica Federico Santa MaríaValparaiso 2340000Chile

Colorectal cancer(CRC)was the second-ranked worldwide type of cancer during 2020 due to the crude mortality rate of 12.0 per 100000 *** can be prevented if glandular tissue(adenomatous polyps)is detected *** has been strongly recommended as a screening test for both early cancer and adenomatous ***,it has some limitations that include the high polyp miss rate for smaller(<10 mm)or flat polyps,which are easily missed during visual *** to the rapid advancement of technology,artificial intelligence(AI)has been a thriving area in different fields,including ***,in gastroenterology AI software has been included in computer-aided systems for diagnosis and to improve the assertiveness of automatic polyp detection and its classification as a preventive method for *** article provides an overview of recent research focusing on AI tools and their applications in the early detection of CRC and adenomatous polyps,as well as an insightful analysis of the main advantages and misconceptions in the field.

关键词： Artificial intelligence Machine learning Deep learning Medical images Colorectal cancer Colorectal polyps

Numerical modeling of nutrient transport to assess the agricultural impact on the trophic state of reservoirs

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International Soil and Water Conservation Research 2023年第1期11卷 197-212页

作者： Franklin torres-Bejarano Jesús García-Gallego javier Salcedo-Salgado Department of Environmental Engineering University of CordobaCarrera 6 No.77-305230002MonteriaColombia Environmental Engineering Program University of CordobaCarrera 6 No.77-305230002MonteriaColombia

A trophic state increase relates to surface water bodies nutrient enrichment,due to the chemical products used such as fertilizers in agriculture and residues from cattle raising *** research consists of nutrient transport numerical modeling to analyze the Betancíreservoir trophic state in Colombia;Water samples were collected to analyze total nitrogen,total phosphorus,ammonia,nitrates,nitrites,phosphates,chlorophyll-a,dissolved oxygen,BOD,COD,suspended solids,and water *** water quality model MOHID Studio was implemented and after its calibration,scenarios of increase and decrease of nutrients and inflows to the reservoir through its main tributaries were simulated to reproduce the agricultural activity changes in the basin and the effects that would have on the reservoir's trophic state dynamics;Therefore,the Carlson Trophic Status Index was calculated for each *** results show that variations in total nitrogen concentration and increased inflows present short-term consequences on the reservoir's trophic *** the incoming total nitrogen con-centrations by 100%causes the reservoir to change from a light eutrophic to a hypereutrophic *** results of this research provide a starting tool to water resources integrated management in reservoirs.

关键词： Environmental modeling Trophic state index Nutrient transport Eutrophication Water pollution

Binary Fruit Fly Swarm Algorithms for the Set Covering Problem

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Computers, Materials & Continua 2022年第6期71卷 4295-4318页

作者： Broderick Crawford Ricardo Soto Hanns de la Fuente Mella Claudio Elortegui Wenceslao Palma Claudio torres-Rojas Claudia Vasconcellos-Gaete Marcelo Becerra javier Pena Sanjay Misra Pontificia Universidad Católica de Valparaíso Valparaíso2362807Chile LERIA Universitéd’AngersAngers49000France Department of Computer Science and Communication Ostfold University CollegeHaldenNorway

Currently,the industry is experiencing an exponential increase in dealing with binary-based combinatorial *** this sense,metaheuristics have been a common trend in the field in order to design approaches to solve them ***,a well-known strategy consists in the use of algorithms based on discrete swarms transformed to perform in binary *** the No Free Lunch theorem,we are interested in testing the performance of the Fruit Fly Algorithm,this is a bio-inspired metaheuristic for deducing global optimization in continuous spaces,based on the foraging behavior of the fruit fly,which usually has much better sensory perception of smell and vision than any other *** the other hand,the Set Coverage Problem is a well-known NP-hard problem with many practical applications,including production line balancing,utility installation,and crew scheduling in railroad and mass transit *** this paper,we propose different binarization methods for the Fruit Fly Algorithm,using Sshaped and V-shaped transfer functions and various discretization methods to make the algorithm work in a binary search *** are motivated with this approach,because in this way we can deliver to future researchers interested in this area,a way to be able to work with continuous metaheuristics in binary *** new approach was tested on benchmark instances of the Set Coverage Problem and the computational results show that the proposed algorithm is robust enough to produce good results with low computational cost.

关键词： Set covering problem fruit fly swarm algorithm metaheuristics binarization methods combinatorial optimization problem

Roles of Ubiquitination in the Control of Phosphate Starvation Responses in Plants

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Journal of Integrative Plant Biology 2013年第1期55卷 40-53页

作者： Mónica Rojas-Triana Regla bustos Ana Espinosa-Ruiz Salom Prat javier Paz-Ares Vicente Rubio The Samuel Roberts Noble Foundation Department of Plant Biology 2510 Sam Noble Parkway Ardmore CBGP (INIA-UPM) Departamento de Biotecnología Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria Campus de Montegancedo Centro Nacional de Biotecnología (CNB-CSIC) Darwin

Throughout evolution, plants have evolved sophisticated adaptive responses that allow them to grow with a limited supply of phos-phate, the preferential form in which the essential macronutrient phosphorus is absorbed by plants. Most of these responses are aimed to increase phosphate availability and acquisition through the roots, to optimize its usage in metabolic processes, and to protect plants from the deleterious effects of phosphate deficiency stress. Regulation of these adaptive responses requires fine percep- tion of the external and internal phosphate levels, and a complex signal transduction pathway that integrates information on the phosphate status at the whole-plant scale. The molecular mecha-nisms that participate in phosphate homeostasis include transcriptional control of gene expression, RNA silencing mediated by microRNAs, regulatory non-coding RNAs of miRNA activity, phosphate transporter trafficking, and post-translational modification of proteins, such as phosphorylation, sumoylation and ubiquitination. Such a varied regulatory repertoire reflects the complexity intrinsic to phosphate surveying and signaling pathways. Here, we describe these regulatory mechanisms, emphasizing the increasing importance of ubiquitination in the control of phosphate starvation responses.

关键词： Phosphate homeostasis phosphate signaling phosphate starvation post-translational control ubiquitin.

A Hybrid Statistical-Dynamical Downscaling of Air Temperature over Scandinavia Using the WRF Model

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Advances in Atmospheric Sciences 2020年第1期37卷 57-74页

作者： Jianfeng WANG Ricardo M.FONSECA Kendall RUTLEDGE javier MARTÍN-torres Jun YU Department of Mathematics and Mathematical Statistics UmeåUniversitySE 90187UmeåSweden Group of Atmospheric Science Division of Space TechnologyDepartment of Computer ScienceElectrical and Space EngineeringLuleåUniversity of TechnologySE 97187 LuleåSweden Novia University of Applied Sciences PO BOX 6FI-65201 VaasaFinland Instituto Andaluz de Ciencias de la Tierra 18100 GranadaSpain The Pheasant Memorial Laboratory for Geochemistry and Cosmochemistry Institute for Planetary MaterialsOkayama University at MisasaTottori 682-0193Japan

An accurate simulation of air temperature at local scales is crucial for the vast majority of weather and climate *** this work,a hybrid statistical–dynamical downscaling method and a high-resolution dynamical-only downscaling method are applied to daily mean,minimum and maximum air temperatures to investigate the quality of localscale estimates produced by *** two downscaling approaches are evaluated using station observation data obtained from the Finnish Meteorological Institute over a near-coastal region of western *** dynamical downscaling is performed with the Weather Research and Forecasting(WRF)model,and the statistical downscaling method implemented is the Cumulative Distribution Function-transform(CDF-t).The CDF-t is trained using 20 years of WRF-downscaled Climate Forecast System Reanalysis data over the region at a 3-km spatial resolution for the central month of each *** performance of the two methods is assessed qualitatively,by inspection of quantile-quantile plots,and quantitatively,through the Cramer-von Mises,mean absolute error,and root-mean-square error *** hybrid approach is found to provide significantly more skillful forecasts of the observed daily mean and maximum air temperatures than those of the dynamical-only downscaling(for all seasons).The hybrid method proves to be less computationally expensive,and also to give more skillful temperature forecasts(at least for the Finnish near-coastal region).

关键词： WRF air temperature Cumulative Distribution Function-transform hybrid statistical–dynamical downscaling,model evaluation Scandinavian Peninsula

Bispecific sigma-1 receptor antagonism and mu-opioid receptor partial agonism:WLB-73502,an analgesic with improved efficacy and safety profile compared to strong opioids

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Acta Pharmaceutica Sinica B 2023年第1期13卷 82-99页

作者： Alba Vidal-torres Begoña Fernández-Pastor Mónica García Eva Ayet Anna Cabot javier Burgueño Xavier Monroy Bertrand Aubel Xavier Codony Luz Romero Rosalía Pascual Maria Teresa Serafini Gregorio Encina Carmen Almansa Daniel Zamanillo Manuel Merlos JoséMiguel Vela WeLab Barcelona Parc Cientific de BarcelonaBarcelona 08028Spain

Opioids are the most effective painkillers,but their benefit-risk balance often hinder their therapeutic ***-73502 is a dual,bispecific compound that binds sigma-1(S1R)and mu-opioid(MOR)***-73502 is an antagonist at the *** behaved as a partial MOR agonist at the G-protein pathway and produced no/unsignificantβ-arrestin-2 recruitment,thus demonstrating low intrinsic efficacy on MOR at both signalling *** its partial MOR agonism,WLB-73502exerted full antinociceptive efficacy,with potency superior to morphine and similar to oxycodone against nociceptive,inflammatory and osteoarthritis pain,and superior to both morphine and oxycodone against neuropathic ***-73502 crosses the blood-brain barrier and binds brain S1R and MOR to an extent consistent with its antinociceptive *** to morphine and oxycodone,tolerance to its antinociceptive effect did not develop after repeated 4-week ***,contrary to opioid comparators,WLB-73502 did not inhibit gastrointestinal transit or respiratory function in rats at doses inducing full efficacy,and it was devoid of proemetic effect(retching and vomiting)in ferrets at potentially effective ***-73502 benefits from its bivalent S1R antagonist and partial MOR agonist nature to provide an improved antinociceptive and safety profile respect to strong opioid therapy.

关键词： WLB-73502 Sigma-1 receptor Mu-opioid receptor Biased agonist Analgesic activity Chronic pain Neuropathic pain Safety

The Ways of Thinking in a Sample of the Student Community of the Subjects of Structured Programming and Numerical Methods in Engineering of the UAM-Azcapotzalco within the Emerging Remote Teaching Project (PEER)

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International Journal of Intelligence Science 2022年第3期12卷 39-56页

作者： Lourdes Sánchez-Guerrero Ana Lilia Laureano-Cruces Martha Mora-torres javier Ramírez-Rodríguez Departamento de Sistemas Universidad Autónoma Metropolitana-Azcapotzalco Mexico City Mexico Posgrado en Diseñ o y Visualización de la Información Universidad Autónoma Metropolitana-Azcapotzalco Mexico City Mexico

Due to the pandemic that is currently being experienced worldwide, educational institutions (HEIs) have had to reinvent and innovate the mode of teaching, in order to continue the process of training students at all educational levels. Higher education has not been immune to this situation, the institutions of this educational level face various challenges in remote teaching: one of them, perhaps the most important, was to answer the question: How to get the student to continue their undergraduate studies remotely? In this sense, it was necessary, on the part of the students and the teachers, a preparation to go from the face-to-face to the virtual mode. This paper addresses the specific case of the analysis of the teaching-learning process of the Teaching-Learning Unit (UEA for its acronym in Spanish) of Structured Programming and Numerical Methods for Engineering at the undergraduate level, at the Universidad Autónoma Metropolitana, Unidad Azcapotzalco (UAM-A) and its relation to the student’s way of thinking. Likewise, the analysis will be carried out if the way of thinking of the students of the sample influences their academic performance when studying the subject of Structured Programming and Numerical Methods for Engineering.

关键词： Intelligent Teaching Systems Emerging Remote Teaching Project (PEER) Way of Thinking Cognition Motivation and the Locus of Control

Deep convolutional neural network for damaged vegetation segmentation from RGB images based on virtual NIR-channel estimation

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Artificial Intelligence in Agriculture 2022年第1期6卷 199-210页

作者： Artzai Picon Arantza Bereciartua-Perez Itziar Eguskiza javier Romero-Rodriguez Carlos javier Jimenez-Ruiz Till Eggers Christian Klukas Ramon Navarra-Mestre TECNALIA Basque Research and Technology Alliance(BRTA)Parque Tecnológico de BizkaiaC/Geldo.Edificio 700E-48160 Derio-BizkaiaSpain University of the Basque Country Plaza Torres Quevedo48013 BilbaoSpain BASF Espanola S.L.Carretera A376 41710 Utrera SevillaSpain BASF SE Speyererstrasse 267117 LimburgerhofGermany

Performing accurate and automated semantic segmentation of vegetation is a first algorithmic step towards more complex models that can extract accurate biological information on crop health,weed presence and phenological state,among ***,models based on normalized difference vegetation index(NDVI),near infrared channel(NIR)or RGB have been a good indicator of vegetation ***,these methods are not suitable for accurately segmenting vegetation showing damage,which precludes their use for downstream phenotyping *** this paper,we propose a comprehensive method for robust vegetation segmentation in RGB images that can cope with damaged *** method consists of a first regression convolutional neural network to estimate a virtual NIR channel from an RGB ***,we compute two newly proposed vegetation indices from this estimated virtual NIR:the infrared-dark channel subtraction(IDCS)and infrared-dark channel ratio(IDCR)***,both the RGB image and the estimated indices are fed into a semantic segmentation deep convolutional neural network to train a model to segment vegetation regardless of damage or *** model was tested on 84 plots containing thirteen vegetation species showing different degrees of damage and acquired over 28 *** results show that the best segmentation is obtained when the input image is augmented with the proposed virtual NIR channel(F1=0:94)and with the proposed IDCR and IDCS vegetation indices(F1=0:95)derived from the estimated NIR channel,while the use of only the image or RGB indices lead to inferior performance(RGB(F1=0:90)NIR(F1=0:82)or NDVI(F1=0:89)channel).The proposed method provides an end-to-end land cover map segmentation method directly from simple RGB images and has been successfully validated in real field conditions.

关键词： Vegetation indices estimation Vegetation coverage map Near infrared estimation Convolutional neural network Deep learning

Effect of dietary supplementation with olive and sunflower oils on lipid profile and liver histology in rats fed high cholesterol diet

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Asian Pacific Journal of Tropical Medicine 2017年第6期10卷 609-613页

作者： Sandra Mara Pimentel Duavy Gerson javier torres Salazar Gerlania de Oliveira Leite Assis Ecker Nilda Vargas Barbosa Departamento de Química Universidade Regional do Cariri(URCA)Campus Pimenta Departamento de Bioquímica e Biologia Molecular Programa de Pós-Graduacao em Ciências Biológicas:Bioquímica ToxicológicaUniversidade Federal de Santa Maria(UFSM)Campus Universitário-Camobi Departamento de Farmacologia Programa de Pós-Graduacao em FarmacologiaUniversidade Federal de Santa Maria(UFSM)Campus Universitário-Camobi

Objective: To compare the effects of high-monounsaturated(MUFA) and polyunsaturated fatty acids(PUFA) against the metabolic disorders elicited by a high-cholesterol diet(HC) in rats. Methods: Using in vivo dietary manipulation, rats were fed with different diets containing 4% soybean oil(cholesterol free diet) and 1% HC containing 12% olive oil(HC+OO) enriched with MUFA and 12% sunflower oil(HC+SO) enriched with PUFA for 60 d. Serum lipid levels and hepatic steatosis were evaluated after the treatment period. Results: Comparatively, rats treated with HC+OO diet experienced a decrease in the serum LDL-C, VLDL-C and CT levels compared to those fed with HC+SO diet(P<0.05). Otherwise, HC+OO provoked significant microvesicular steatosis situated in the hepatic acinar zone 1. Conclusions: HC+OO diet has high absorption velocity in the acinar zone 1 of liver compared to the HC+SO diet. Based on this, the reduction of the LDL-C, VLDL-C and CT serum levels in the animals treated with HC+OO diet can be caused by the delay in the FA release to the blood.

关键词： Cholesterol diets Olive oil Sunflower oil Serum lipids Liver steatosis

Role of microRNAs in alcohol-induced liver disorders and non-alcoholic fatty liver disease

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World Journal of Gastroenterology 2018年第36期24卷 4104-4118页

作者： Jorge-Luis torres Ignacio Novo-Veleiro Laura Manzanedo Lucía Alvela-Suárez Ronald Macías Francisco-javier Laso Miguel Marcos Department of Internal Medicine University Hospital of SalamancaInstitute of Biomedical Research of Salamanca-IBSAL Spanish Working Group on Alcohol and Alcoholism Spanish Society of Internal Medicine Department of Internal Medicine University Hospital of Santiago de Compostela Department of Internal Medicine HM Rosaleda HospitalSantiago de Compostela Department of Medicine Faculty of MedicineUniversity of Salamanca

MicroRNAs(miRNAs) are small non-coding RNAs that regulate multiple physiological and pathological functions through the modulation of gene expression at the post-transcriptional level. Accumulating evidence has established a role for miRNAs in the development and pathogenesis of liver disease. Specifically, a large number of studies have assessed the role of miRNAsin alcoholic liver disease(ALD) and non-alcoholic fatty liver disease(NAFLD), two diseases that share common underlying mechanisms and pathological characteristics. The purpose of the current review is to summarize and update the body of literature investigating the role of miRNAs in liver disease. In addition, the potential use of miRNAs as biomarkers and/or therapeutic targets is discussed. Among all miRNAs analyzed, miR-34 a, miR-122 and miR-155 are most involved in the pathogenesis of NAFLD. Of note, these three miRNAs have also been implicated in ALD, reinforcing a common disease mechanism between these two entities and the pleiotropic effects of specific miRNAs. Currently, no single miRNA or panel of miRNAs has been identified for the detection of, or staging of ALD or NAFLD. While promising results have been shown in murine models, no therapeutic based-miRNA agents have been developed for use in humans with liver disease.

关键词： Alcohol use disorder Alcoholic liver disease Non-alcoholic fatty liver disease Steatosis Obesity miRNA Biomarkers