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Pancreatic adenosquamous carcinoma and intraductal papillary mucinous neoplasm in a CDKN2A germline mutation carrier

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World Journal of Gastrointestinal Oncology 2017年第9期9卷 390-396页

作者： Fernando martínez de Juan maría Reolid Escribano Carmen martínez Lapiedra Fernanda Maia de Alcantara maría caballero soto Ana Calatrava Fons Isidro Machado Gastroenterology and Digestive Endoscopy Department Valencian Institute of Oncology Digestive Surgery Department Valencian Institute of Oncology Pathology Department Valencian Institute of Oncology

A 69-year-old woman from a kindred with familial atypical multiple mole melanoma and carrier of a germline mutation in CDKN2A, presented with abdominal pain caused by a solid-cystic pancreatic mass. The patient had an abdominal computed tomography three years before in which there was no evidence of pancreatic lesion. The endoscopic ultrasound guided fine needle aspiration showed adenocarcinoma with squamous component. After surgical resection the final diagnosis was adenosquamous pancreatic carcinoma(ASPC) arising in an intraductal papillar mucinous neoplasm(IPMN). Adenosquamous carcinomas are uncommon in the pancreas and have rarely been described in association with IPMNs. It has worse prognosis than the ordinary pancreatic ductal adenocarcinoma and some distinct features. We review the clinical, imaging, pathologic and molecular aspects of ASPC. Differential diagnosis with contamination, squamous metaplasia and pancreatic metastases from a distant squamous carcinoma is discussed. Besides, the case is an accelerated model of the adenoma(IPMN)-carcinoma sequence probably due to the CDKN2A ger-mline mutation. Somatic CDKN2A mutations are commonevents in the early steps of sporadic pancreatic cancer, but germline mutation carriers have a significantly higher risk of pancreatic carcinoma.

关键词： Intraductal papillary mucinous neoplasia Melanoma-pancreatic cancer syndrome Adenosquamous carcinoma Pancreatic carcinoma CDKN2A

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Predicting grain size-dependent superplastic properties in friction stir processed ZK30 magnesium alloy with machine learning methods

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Journal of Magnesium and Alloys 2024年第5期12卷 1931-1943页

作者： Farid Bahari-Sambran Fernando Carreno C.M.Cepeda-Jiménez Alberto Orozco-caballero Physical Metallurgy Department CENIM-CSICAv.Gregorio del Amo 828040 MadridSpain Department of Mechanical Engineering Chemistry and Industrial DesignPolytechnic University of MadridRonda de Valencia 328012MadridSpain

The aim of this work is to predict,for the first time,the high temperature flow stress dependency with the grain size and the underlaid deformation mechanism using two machine learning models,random forest(RF)and artificial neural network(ANN).With that purpose,a ZK30 magnesium alloy was friction stir processed(FSP)using three different severe conditions to obtain fine grain microstructures(with average grain sizes between 2 and 3μm)prone to extensive superplastic *** three friction stir processed samples clearly deformed by grain boundary sliding(GBS)deformation mechanism at high *** maximum elongations to failure,well over 400% at high strain rate of 10^(-2)s^(-1),were reached at 400℃ in the material with coarsest grain size of 2.8μm,and at 300℃ for the finest grain size of 2μ***,the superplastic response decreased at 350℃ and 400℃ due to thermal instabilities and grain coarsening,which makes it difficult to assess the operative deformation mechanism at such *** work highlights that the machine learning models considered,especially the ANN model with higher accuracy in predicting flow stress values,allow determining adequately the superplastic creep behavior including other possible grain size scenarios.

关键词： Machine learning Artificial intelligence Magnesium alloys Superplasticity Friction stir processing Grain coarsening

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Game changer:How Janus kinase inhibitors are reshaping the landscape of ulcerative colitis mana

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World Journal of Gastroenterology 2024年第35期30卷 3942-3953页

作者： Antonio M caballero-Mateos Guillermo Arturo Cañadas-de la Fuente Department of Gastroenterology and Hepatology San Cecilio University HospitalGranada 18014Spain Department of Nursing Faculty of Health SciencesUniversity of GranadaGranada 18004Spain

Recent advancements in the treatment landscape of ulcerative colitis(UC)have ushered in a new era of possibilities,particularly with the introduction of Janus kinase(JAK)-signal transducer and activator of transcription *** novel agents offer a paradigm shift in UC management by targeting key signaling pathways involved in inflammatory *** approved JAK inhibitors(JAKis),such as tofacitinib,filgotinib,and upadacitinib,clinicians now have powerful tools to modulate immune responses and gene expression,potentially revolutionizing the treatment algorithm for *** trials have demonstrated the efficacy of JAKis in inducing and maintaining remission,presenting viable options for patients who have failed conventional ***-world data support the use of JAKis not only as first-line treatments but also in subsequent lines of therapy,particularly in patients with aggressive disease phenotypes or refractory to biologic *** rapid onset of action and potency of JAKis have broadened the possibilities in the management strategies of UC,offering timely relief for patients with active disease and facilitating personalized treatment *** safety concerns,including cardiovascular risks and infections,ongoing research and post-marketing surveillance will continue to refine our understanding of the risk-benefit profile of JAKis in UC management.

关键词： Ulcerative colitis Janus kinase inhibitors Filgotinib Tofacitinib Upadacitinib

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Advancing Malaria Prediction in Uganda through AI and Geospatial Analysis Models

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Journal of Geographic Information System 2024年第2期16卷 115-135页

作者： maria Assumpta Komugabe Richard caballero Itamar Shabtai Simon Peter Musinguzi Center for Information Systems & Technology Claremont Graduate University Claremont California USA Department of Information Technology Faculty of Business and ICT University of Kisubi Entebbe Uganda Faculty of Health Sciences University of Kisubi Entebbe Uganda Department of Agriculture Production Faculty of Agriculture Kyambogo University Kyambogo Uganda Department of Agriculture and Natural Sciences Faculty of Agriculture Uganda Martyrs University Kampala Uganda

The resurgence of locally acquired malaria cases in the USA and the persistent global challenge of malaria transmission highlight the urgent need for research to prevent this disease. Despite significant eradication efforts, malaria remains a serious threat, particularly in regions like Africa. This study explores how integrating Gregor’s Type IV theory with Geographic Information Systems (GIS) improves our understanding of disease dynamics, especially Malaria transmission patterns in Uganda. By combining data-driven algorithms, artificial intelligence, and geospatial analysis, the research aims to determine the most reliable predictors of Malaria incident rates and assess the impact of different factors on transmission. Using diverse predictive modeling techniques including Linear Regression, K-Nearest Neighbor, Neural Network, and Random Forest, the study found that;Random Forest model outperformed the others, demonstrating superior predictive accuracy with an R2 of approximately 0.88 and a Mean Squared Error (MSE) of 0.0534, Antimalarial treatment was identified as the most influential factor, with mosquito net access associated with a significant reduction in incident rates, while higher temperatures correlated with increased rates. Our study concluded that the Random Forest model was effective in predicting malaria incident rates in Uganda and highlighted the significance of climate factors and preventive measures such as mosquito nets and antimalarial drugs. We recommended that districts with malaria hotspots lacking Indoor Residual Spraying (IRS) coverage prioritize its implementation to mitigate incident rates, while those with high malaria rates in 2020 require immediate attention. By advocating for the use of appropriate predictive models, our research emphasized the importance of evidence-based decision-making in malaria control strategies, aiming to reduce transmission rates and save lives.

关键词： Malaria Predictive Modeling Geospatial Analysis Climate Factors Preventive Measures

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Landscape of global urban environmental resistome and its association with local socioeconomic and medical status

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Science China(Life Sciences) 2024年第6期67卷 1292-1301页

作者： Jun Wu Yige Hu Michael H Perlin David Danko Jun Lu Manuela Oliveira Johannes Werner maria M Zambrano maria A Sierra Olayinka O Osuolale Paweł Łabaj Nicolás Rascovan Nur Hazlin Hazrin-Chong Soojin Jang Haruo Suzuki marina Nieto-caballero Bharath Prithiviraj Patrick K H Lee Agnieszka Chmielarczyk Anna Różańska Yongxiang Zhao Lan Wang Christopher E Mason Tieliu Shi Center for Bioinformatics and Computational Biology and the Institute of Biomedical SciencesSchool of Life SciencesEast China Normal UniversityShanghai 200241China Department of Biology Program on Disease EvolutionUniversity of LouisvilleLouisville 40292USA Weill Cornell Medicine New York 10065USA The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine New York 10065USA Department of Pulmonary Medicine Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghai 200025China i3S-Instituto de Investiga玢o e Inova玢o em Saúde Universidade do PortoPorto 4050-290Portugal Ipatimup-Instituto de Patologia e Imunologia Molecular da Universidade do Porto Porto 4200-465Portugal Departamento de Biologia Faculdade de CiênciasUniversidade do PortoPorto 4050-290Portugal High Performance and Cloud Computing Group Zentrum für Datenverarbeitung(ZDV)Eberhard Karls University of TübingenW鋍hterstra遝7672074TübingenGermany Corporación Corpogen Research Center Bogotá110311Colombia Applied Environmental Metagenomics and Infectious Diseases Research(AEMIDR) Department of Biological SciencesElizade UniversityIlara-Mokin 340271Nigeria Maopolska Centre of Biotechnology Jagiellonian UniversityKraków 30-005Poland Aix-marseille Université Mediterranean Institute of OceanologyUniversitéde ToulonCNRSIRDUM 110Marseille 83041France Department of Biological Sciences and Biotechnology Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia43600 UKM BangiSelangor Institut Pasteur Korea Seoul 13488Republic of Korea Faculty of Environment and Information Studies Keio UniversityFujisawaKanagawa 252-0882Japan University of Colorado at Boulder CivilEnvironmental and Architectural DepartmentBoulder 80303USA Brooklyn College of the City University of New York Brooklyn 11210USA School of Energy and Environment City University of Hong KongHong Kong 999077China Department of Microbiology Faculty of MedicineJagiellonian UniversityKraków 30-005Poland Biological Targeting Diagnosis and The

Antimicrobial resistance(AMR)poses a critical threat to global health and development,with environmental factors—particularly in urban areas—contributing significantly to the spread of antibiotic resistance genes(ARGs).However,most research to date has been conducted at a local level,leaving significant gaps in our understanding of the global status of antibiotic resistance in urban *** address this issue,we thoroughly analyzed a total of 86,213 ARGs detected within 4,728 metagenome samples,which were collected by the Meta SUB International Consortium involving diverse urban environments in 60 cities of 27 countries,utilizing a deep-learning based *** findings demonstrated the strong geographical specificity of urban environmental resistome,and their correlation with various local socioeconomic and medical *** also identified distinctive evolutionary patterns of ARG-related biosynthetic gene clusters(BGCs)across different countries,and discovered that the urban environment represents a rich source of novel *** study provides a comprehensive overview of the global urban environmental resistome,and fills a significant gap in our knowledge of large-scale urban antibiotic resistome analysis.

关键词： urban environment metagenome antibiotic resistance resistance diversity biosynthetic gene clusters

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gFACs:Gene Filtering,Analysis,and Conversion to Unify Genome Annotations Across Alignment and Gene Prediction Frameworks

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Genomics, Proteomics & Bioinformatics 2019年第3期17卷 305-310页

作者： Madison caballero Jill Wegrzyn Department of Ecology and Evolutionary Biology University of Connecticut

Published genomes frequently contain erroneous gene models that represent issues associated with identification of open reading frames,start sites,splice sites,and related structural *** source of these inconsistencies is often traced back to integration across text file formats designed to describe long read alignments and predicted gene *** addition,the majority of gene prediction frameworks do not provide robust downstream filtering to remove problematic gene annotations,nor do they represent these annotations in a format consistent with current file *** frameworks also lack consideration for functional attributes,such as the presence or absence of protein domains that can be used for gene model *** provide oversight to the increasing number of published genome annotations,we present a software package,the Gene Filtering,Analysis,and Conversion(gFACs),to filter,analyze,and convert predicted gene models and *** software operates across a wide range of alignment,analysis,and gene prediction files with a flexible framework for defining gene models with reliable structural and functional *** supports common downstream applications,including genome browsers,and generates extensive details on the filtering process,including distributions that can be visualized to further assess the proposed gene *** is freely available and implemented in Perl with support from BioPerl libraries at https://***/PlantGenomicsLab/gFACs.

关键词： Genome annotation Bioinformatics Protein annotation Gene prediction Alignment

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Recognition of a multiple antigen peptide containing sequence from mimotope of the dengue type 3 virus NS4B protein by human antibodies

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Asian Pacific Journal of Tropical Medicine 2016年第2期9卷 126-129页

作者： Nevis Amin maritza Pupo Alicia Aguilar Susana Vázquez Yamira caballero Rolando Ochoa maría G Guzmán Armando Acosta Implementation and Design of Clinical trials Clinical Research and Impact Evaluation Direction Finlay Institute ‘Pedro Kourí’Tropical Medicine Institute (IPK) PAHO/WHO Collaborating Center for the Study of Dengue and its Vector

Objective: To evaluate the recognition of NS4 B mimotope, as multiple antigen peptide(MAP), by dengue antibodies presents in serum samples from patients with different serotype infections. Methods: A MAP containing mimotope sequence was synthesized and used to evaluate the recognition of NS4 B mimotope as MAP by a panel of 66 human sera from dengue cases by an indirect ELISA assay. Results: The MAP differentiated between sera from dengue viruses infected patients and sera from healthy individuals and the best reactivity was shown by serum from dengue type 3 virus patients. The recognition was more intense with serum from patients with secondary infection. Conclusions: The findings suggest the potential use of NS4 B mimotope on the development of a multi-epitope diagnostic tool. These results are important for further immunogenicity studies.

关键词： MAP Antibodies NS4B Dengue virus

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Enhanced ablation efficiency for silicon by femtosecond laser microprocessing with GHz bursts in MHz bursts(BiBurst)

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International Journal of Extreme Manufacturing 2022年第1期4卷 75-83页

作者： Francesc caballero-Lucas Kotaro Obata Koji Sugioka RIKEN Center for Advanced Photonics 2-1 HirosawaWako-shiSaitama 351-0198Japan

Ultrashort laser pulses confine material processing to the laser-irradiated area by suppressing heat diffusion,resulting in precise ablation in diverse ***,challenges occur when high speed material removal and higher ablation efficiencies are *** burst mode laser ablation has been proposed as a successful method to overcome these *** this approach,we studied the influence of combining GHz bursts in MHz bursts,known as Bi Burst mode,on ablation efficiency of *** Burst mode used in this study consists of multiple bursts happening at a repetition rate of 64 MHz,each of which contains multiple pulses with a repetition rate of 5 *** obtained results show differences between Bi Burst mode and conventional single pulse mode laser ablation,with a remarkable increase in ablation efficiency for the Bi Burst mode,which under optimal conditions can ablate a volume4.5 times larger than the single pulse mode ablation while delivering the same total energy in the process.

关键词： BiBurst mode GHz burst laser ablation surface microfabrication

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Slip-model Performance for Underexpanded Micro-scale Rocket Nozzle Flows

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Journal of Thermal Science 2007年第3期16卷 223-230页

作者： JoséA.Morí■igo JoséHermidaQuesada Francisco caballero Requena Dept.of Space Programmes Dept.of

In aerospace Micro-Electro Mechanical Systems （MEMS）, the characteristic length scale of the flow approaches the molecular mean free path, thus invalidating the continuum description and enforcing the use of particle methods, like the Direct Simulation Monte Carlo （DSMC）, to deal with the non-equilibrium regions. Within the slip-regime （0.01〈Kn〈-0.1） both approaches, continuum and particle-based, seem to behave well in terms of accuracy. The present study summarizes the implementation and results obtained with a 2nO-order slip boundary condition in a Navier-Stokes solver to address the rarefaction near the nozzle walls. Its assessment and application to a cold-gas micro-scale conical nozzle of 300μm throat diameter, discharging into the low-pressure freestream, constitutes the major aim of the work. The slip-model incorporates the velocity slip with thermal creep and temperature jump, thus permitting to deal with non-isothermal flows as well. Results show that the gas experiences an intense rarefaction in the lip vicinity, pointing to the limits of model validity. Furthermore, a strong Mach deceleration is observed, attributed to the rather thick subsonic boundary layer and supersonic bulk heating caused by the viscous dissipation, in contrast with the expansion to occur in large rocket nozzles during underexpanded operation.

关键词： Slip flow MEMS micronozzles

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Inhaler Technique Questionnaire(InTeQ)in pediatric patients with asthma

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世界儿科杂志:英文版 2023年第8期19卷 798-804页

作者： Catalina Lizano‑Barrantes Olatz Garin Alexandra Lelia Dima Karina Mayoral Angels Pont Eva maría Ortiz maría Araceli caballero‑Rabasco Manuel Praena‑Crespo Laura Valdesoiro‑Navarrete maría Teresa Guerra Alberto Bercedo‑Sanz Gimena Hernández Camila maroni Inés de Mir maríaÁngeles Carrasco marta Ortega Alberto Servan JoséAntonio Castillo Eva Tato Montse Ferrer Health Services Research Group IMIM(Hospital del Mar Medical Research Institute)Barcelona Biomedical Research ParkDoctor Aiguader8808003 BarcelonaSpain Department of Medicine and Life Sciences Universitat Pompeu FabraBarcelonaSpain Department of Pharmaceutical Care and Clinical Pharmacy Faculty of PharmacyUniversidad de Costa RicaSan JoseCosta Rica Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública CIBERESP MadridSpain Research and Development Unit Institut de Recerca Sant Joan de DéuBarcelonaSpain Department of Pediatrics Obstetrics and Gynaecology and Preventive MedicineUniversitat Autònoma de BarcelonaBarcelonaSpain Pediatric Allergy and Pulmonology Unit Pediatric ServiceHospital del MarBarcelonaSpain Pediatric Allergy and Pulmonology Unit Pediatric ServiceHospital Universitari Parc TaulíSabadellSpain Centro de Salud La Candelaria Servicio Andaluz de SaludSevilleSpain Grupo de Vías Respiratorias de La Asociación Española de Pediatras de Atención Primaria(AEPAP) MadridSpain Centro de Salud Jerez Sur Servicio Andaluz de SaludSevilleSpain Centro de Salud La Sagrera BarcelonaSpain Centro de Salud Los Castros CantabriaSpain Facultat de Medicina Universitat Autònoma de BarcelonaBarcelonaSpain Pediatric Allergy and Pulmonology and Cystic Fibrosis UnitHospital Universitari Vall d’HebronBarcelonaSpain Consultorio Sevilla la Nueva MadridSpain Centro de Salud Dos de Mayo MadridSpain Hospital Miguel Servet ZaragozaSpain Hospital Universitario Araba Vitoria-GasteizSpain Departamento de Farmacologia Pediatría y RadiologíaUniversidad de SevillaSevilleSpain Institut d’Investigaciói InnovacióParc Taulí SabadellSpain

Asthma in school-aged children is a major public health problem worldwide[1,2].Inhaled medications are the mainstay of its pharmacological management[2],but only 8%-22%of children with asthma use their inhalers correc... 详细信息

关键词： asthma pediatric patients

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