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European Species of Hebeloma Section Theobromina

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Fungal Diversity 2013年第1期58卷 103-126页

作者： Ursula Eberhardt Henry J.Beker Jan Vesterholt Karolina Dukik Grit Walther jordi vila Samantha Fernández Brime CBS-KNAW Fungal Biodiversity Centre Centraalbureau voor SchimmelculturesUppsalalaan 83584 CT UtrechtNetherlands Rue Père de Deken 19 1040 BruxellesBelgium Natural History Museum of Denmark Gothersgade 1301123 Copenhagen K.Denmark Microbial Resource Collection Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute and Institute of MicrobiologyDepartment of Microbiology and Molecular BiologyUniversity of JenaBeutenbergstraße 11a07745 JenaGermany Department Biologia Vegetal(Botànica) Fac.BiologiaUniversitat de BarcelonaDiagonal 64508028 BarcelonaSpain

This paper addresses section Theobromina within the genus Hebeloma(Agaricales).We recognise seven European species within this section,three of which are described as new:Hebeloma alboerumpens,*** and *** first two of these species appear to be ectomycorrhizal with Cistaceae:Cistus and *** parvicystidiatum is more likely to be in mycorrhizal association with Quercus *** also provide a key to the European species within *** and an updated key of known Hebeloma associates of *** analyses based on multiple loci further illustrate the distinctness of the newly described taxa and provide molecular evidence,supporting the morphological evidence,for the relationship that exists among species of this *** ITS is the only one from the sequenced loci that,alongside with morphology,distinguishes among all of the species of *** section gains most of its molecular support from the MCM7 locus,followed by RPB2.

关键词： Host specificity Fungi Hebeloma plesiocistum Hebeloma theobrominum Hebeloma vesterholtii DNA barcode

Four Cases of X-Linked Hypophosphatemic Rickets, Clinical Description and Genetic Testing

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Open Journal of Genetics 2014年第1期4卷 40-45页

作者： David vila-Pérez Sílvia Marín-del-Barrio jordi vila-Cots Jose Antonio Camacho-Díaz Marcos Morey Lourdes Loidi Department of Endocrinology Hospital Sant Joan de Déu Barcelona Spain Department of genomics Fundación Pública Galega de Medicina Xenómica Santiago de Compostela Spain Department of Nephrology Hospital Sant Joan de Déu Barcelona Spain

One of the major causes of congenital hypophosphatemic rickets is the X-linked hypophosphatemic rickets (XHR), due to a defect on PHEX gene. The XHR increases the renal elimination of phosphate, that condition leads a defective mineralization of bones and also affects the growth in children. Clinical diagnosis should be suspected in children with signs of rickets and hypophosphatemia with normal calcium levels. We describe clinical characteristics and genetic results of four patients diagnosed and treated in our Nephrology Section. All patients have a “de novo” XHR as none familiars are affected. Early diagnosis should be suspected before the bone deformities have been submitted and the growth would have been impaired.

关键词： Rickets X-Linked Hypophosphatemic Rickets XHR PHEX Gene

Hankel operators on exponential Bergman spaces

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Science China Mathematics 2022年第2期65卷 421-442页

作者： Zhangjian Hu jordi Pau Department of Mathematics Huzhou UniversityHuzhou 313000China Departament de Matematiques i Informatica Universitat de BarcelonaBarcelona 08007Spain

We completely describe the boundedness and compactness of Hankel operators with general symbols acting on Bergman spaces with exponential type weights.

关键词： weighted Bergman space Hankel operator ?-equation

Sigma-1 receptor: a new player in neuroprotection against chemotherapy-induced peripheral neuropathy

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Neural Regeneration Research 2018年第5期13卷 775-778页

作者： jordi Bruna Roser Velasco Neuro-Oncology Unit Hospital Universitari de Bellvitge-ICO L'Hospitalet IDIBELL (Institut d'Investigació Biomèdica de Bellvitge) Institute of Neurosciences Department of Cell Biology Physiology and Immunology Universitat Autonoma de Barcelona and Centro de Investigación Biomedica en Red sobre Enfermedades Neurodegenerativas (CIBERNED)

Chemotherapy-induced peripheral neuropathy is a very frequent neurological complication in cancer. Oxaliplatin（OXA） is a platinum analogue used as a first-line agent in the treatment of colorectal cancer. OXA induced peripheral neuropathy（OIN） is the main toxicity both during and after the completion of chemotherapy that presents as two distinct syndromes： acute and chronic neuropathy. None of the neuroprotective agents previously tested had prevented or limited the acute and/or chronic OIN. MR309（previously developed as E-52862） is a novel selective sigma-1 receptor（S1R） antagonist with preclinical analgesic activity in OXA-induced neuropathic pain in animal models. This review analyzes the results of the recently published phase Ⅱ, randomized, double-blind, placebo-controlled clinical trial including 124 patients with colorectal cancer（CRC） treated with MR309. This study shows encouraging findings in the setting of neuroprotection against OIN with an acceptable safety profile. The study demonstrated MR309 usefulness in decreasing acute OIN, by reducing cold hypersensitivity experienced by patients, and pointed to the amelioration of chronic OIN by lowering the proportion of patients who developed severe chronic OIN. In addition, we provide a summary and discussion on the pathways that can be modulated by the S1R to explain the observed clinical benefits in the OIN.

关键词： oxaliplatin chemotherapy-induced peripheral neuropathy sigma-1 receptor neurotoxicity MR309 E-52862

Chemokine ligand 2 and paraoxonase-1 in non-alcoholic fatty liver disease:The search for alternative causative factors

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World Journal of Gastroenterology 2015年第10期21卷 2875-2882页

作者： jordi Camps Jorge Joven Unitat de Recerca Biomèdica Hospital Universitari de Sant Joan Institut d’Investigació Sanitària Pere Virgili Universitat Rovira i Virgili

The incidence and prevalence of non-alcoholic fatty liver disease(NAFLD)is constantly *** this is apparently associated with the growing increase in obesity,insulin resistance and obesity-related metabolic disturbances their presence is not a necessary or sufficient condition to explain the accumulation of fatin the ***,NAFLD is a predictor of other metabolic *** is currently the most frequent chronic liver disease but should not be considered benign or anecdotic because a considerable proportion of patients with NAFLD progress to cirrhosis and endstage liver ***,the search for alternative molecular mechanisms with therapeutic implications in NAFLD and associated disorders deserves a careful *** are possible targets as these organelles generate energy from nutrient *** findings,generated in patients with extreme obesity and in murine models,support the notion that NAFLD could be a mitochondrial *** is plausible because mitochondrial dysfunction affects the accumulation of lipids in hepatocytes and promotes lipid peroxidation,the production of reactive oxygen species,the release of cytokines causing inflammation and cell *** we discuss basic research and mechanistic studies targeting the role of chemokine ligand 2 in liver inflammation and that of the paraoxonases in the oxidative *** combination and association with mitochondrial dysfunction may uncover mechanisms underlying the progression of NAFLD and may help to identify novel therapeutic targets.

关键词： Biomarkers Cytokines Inflammation Metabolism Mitoc

Machine learning applications on lunar meteorite minerals:From classification to mechanical properties prediction

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International Journal of Mining Science and Technology 2024年第9期34卷 1283-1292页

作者： Eloy Peña-Asensio Josep M.Trigo-Rodríguez jordi Sort jordi Ibáñez-Insa Albert Rimola Department of Aerospace Science and Technology Politecnico di MilanoMilano 20156Italy Institut de Ciències de l’Espai(ICE-CSIC) Campus UAB08193 Cerdanyola del VallèsSpain Institut d’Estudis Espacials de Catalunya(IEEC) Barcelona 08034Spain Departament de Física Universitat Autònoma de BarcelonaCerdanyola del Vallès E-08193Spain InstitucióCatalana de Recerca i Estudis Avançats(ICREA) Barcelona E-08010Spain Geosciences Barcelona(GEO3BCN-CSIC) E-08028 BarcelonaSpain Departament de Química Universitat Autònoma de BarcelonaBellaterra 08193Spain

Amid the scarcity of lunar meteorites and the imperative to preserve their scientific value,nondestructive testing methods are *** translates into the application of microscale rock mechanics experiments and scanning electron microscopy for surface composition *** study explores the application of Machine Learning algorithms in predicting the mineralogical and mechanical properties of DHOFAR 1084,JAH 838,and NWA 11444 lunar meteorites based solely on their atomic percentage *** a prior-data fitted network model,we achieved near-perfect classification scores for meteorites,mineral groups,and individual *** regressor models,notably the KNeighbor model,provided an outstanding estimate of the mechanical properties—previously measured by nanoindentation tests—such as hardness,reduced Young’s modulus,and elastic *** considerations on the nature and physical properties of the minerals forming these meteorites,including porosity,crystal orientation,or shock degree,are essential for refining *** findings underscore the potential of Machine Learning in enhancing mineral identification and mechanical property estimation in lunar exploration,which pave the way for new advancements and quick assessments in extraterrestrial mineral mining,processing,and research.

关键词： Meteorites Moon Mineralogy Machine learning Mechanical properties

A model for the control of DNA integrity by the sperm nuclear matrix

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Asian Journal of Andrology 2015年第4期17卷 610-615页

作者： Joanna E Gawecka jordi Ribas-Maynou jordi Benet W Steven Ward Clinical and Translational Research Program Universityof Hawaii Cancer Center Honolulu HI USA Cell BiologyUnit Cell Biology Phisiology and Immunology DepartmentMedicine Faculty Universitat Autonoma de Barcelona08193 Bellaterra Spain Center of Male Infertility andAnalysis de Barcelona Edifici Eureka PBM5 Parc deRecerca de la UAB Campus de la UAB 08193 BellaterraSpain Institute for Biogenesis Research Departmentof Anatomy Biochemistry and Physiology Honolulu HIUSA Department of Obstetrics Gynecology and Women'sHealth John A. Burns School of Medicine University ofHawaii at Manoa. Honolulu. HI 96822. USA.

The highly condensed chromatin of mammalian spermatozoa is usually considered to be biologically inert before fertilization. However, we have demonstrated that even in this compacted state, sperm chromatin is subject to degradation at open configurations associated with the nuclear matrix through a process we have termed sperm chromatin fragmentation （SCF）. ＂[his suggests that a mechanism exists to monitor the health of spermatozoa during transit through the male reproductive tract and to destroy the genome of defective sperm cells. The site of DNA damage in SCF, the matrix attachment sites, are the same that we hypothesize initiate DNA synthesis in the zygote. When sperm that have damaged DNA are injected into the oocyte, the newly created zygote responds by delaying DNA synthesis in the male pronudeus and, if the damage is severe enough, arresting the embryo＇s development. Here we present a model for paternal DNA regulation by the nuclear matrix that begins during sperm maturation and continues through early embryonic development.

关键词： DNA mammalian spermatozoa

AJAC: Atomic data calculation tool in Python

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Chinese Physics B 2013年第4期22卷 545-557页

作者： Amani Tahat jordi Marti Kaher Tahat Ali Khwaldeh Department of Physics and Nuclear Engineering Technical University of Catalonia Barcelona Spain Saudi Grown Investment Company Quai du Seujet 30 Geneva 1201 Switzerland Department of Computer Engineering Faculty of Engineering Philadelphia University Amman Jordan

In this work, new features and extensions of a currently used online atomic database management system are reported. A multiplatform flexible computation package is added to the present system, to allow the calculation of various atomic radiative and collisional processes, based on simplifying the use of some existing atomic codes adopted from the literature. The interaction between users and data is facilitated by a rather extensive Python graphical user interface working online and could be installed in personal computers of different classes. In particular, this study gives an overview of the use of one model of the package models （i.e., electron impact collisional excitation model）. The accuracy of computing capability of the electron impact collisional excitation in the adopted model, which follows the distorted wave approximation approach, is enhanced by implementing the Dirac R-matrix approximation approach. The validity and utility of this approach are presented through a comparison of the current computed results with earlier available theoretical and experimental results. Finally, the source code is made available under the general public license and being distributed freely in the hope that it will be useful to a wide community of laboratory and astrophysical plasma diagnostics.

关键词： software engineering atomic data atomic databases

Pattern recognition and data mining software based on artificial neural networks applied to proton transfer in aqueous environments

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Chinese Physics B 2014年第4期23卷 410-421页

作者： Amani Tahat jordi Marti Ali Khwaldeh Kaher Tahat Department of Physics and Nuclear Engineering Technical University of Catalonia-Barcelona Tech B4-B5North Campus UPC08034 Barcelona Catalonia Spain Department of Computer Engineering Faculty of Engineering Philadelphia University Department of Graduate Business Studies Waterford Institute of TechnologyMain Campus Cork RoadWaterford Ireland

In computational physics proton transfer phenomena could be viewed as pattern classification problems based on a set of input features allowing classification of the proton motion into two categories： transfer ＇occurred＇ and transfer ＇not occurred＇. The goal of this paper is to evaluate the use of artificial neural networks in the classification of proton transfer events, based on the feed-forward back propagation neural network, used as a classifier to distinguish between the two transfer cases. In this paper, we use a new developed data mining and pattern recognition tool for automating, controlling, and drawing charts of the output data of an Empirical Valence Bond existing code. The study analyzes the need for pattern recognition in aqueous proton transfer processes and how the learning approach in error back propagation （multilayer perceptron algorithms） could be satisfactorily employed in the present case. We present a tool for pattern recognition and validate the code including a real physical case study. The results of applying the artificial neural networks methodology to crowd patterns based upon selected physical properties （e.g., temperature, density） show the abilities of the network to learn proton transfer patterns corresponding to properties of the aqueous environments, which is in turn proved to be fully compatible with previous proton transfer studies.

关键词： pattern recognition proton transfer chart pattern data mining artificial neural network empiricalvalence bond