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NADpH Thioredoxin Reductase C Is Involved in Redox Regulation of the Mg-Chelatase I Subunit in Arabidopsis thaliana Chloroplasts

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Molecular plant 2014年第7期7卷 1252-1255页

作者： juan manuel pérez-ruiz manuel Guinea Leonor puerto-Galán Francisco Javier Cejudo Instituto de Bioquímica Vegetal y Fotosíntesis Universidad de Sevilla-Consejo Superior de Investigaciones Científicas 41092-Sevilla Spain Umea plant Science Centre Department of Plant Physiology Umea University S-901 87 Umea Sweden

Dear Editor, The synthesis of tetrapyrroles, including chlorophylls, is central for chloroplast function. The metabolic pathway of tetrapyrrole biosynthesis in Arabidopsis is initiated with the formation of amino levulinic acid （ALA）, which is con- verted by a series of common reactions to protoporphy- tin IX （proto IX）（Tanaka et al., 2011）. Then the pathway diverges into two branches： the synthesis of heme/bilin and chlorophylls. The insertion of Mg2＋ into proto IX, cata- lyzed by Mg-chelatase, is the first committed reaction of the chlorophyll branch and is considered a key step for the regulation of the whole pathway. Mg-chelatase is a het- erotrimeric enzyme composed of subunits CHLI, CHLD, and CHLH, the reaction mechanism of which has been estab- lished. It is a two-step process consisting in the Mg-ATp- dependent activation of the enzyme, which implies the formation of a ternary complex of subunits CHLI and CHLD with ATp-Mg2＋, and Mg2＋ chelation, which is catalyzed by CHLH driven by ATp hydrolysis, CHLI providing ATpase activity to the complex （Tanaka et al., 2011）. In Arabidopsis, CHLH and CHLD are encoded by single genes, whereas two genes, CHLI-I and CHLI-2, encode the two isoforms of CHLI.

关键词： synthesis of tetrapyrroles chlorophylls Arabidopsis

The Quaternary Structure of NADpH Thioredoxin Reductase C Is Redox-Sensitive

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Molecular plant 2009年第3期2卷 457-467页

作者： juan manuel pérez-ruiz Maricruz Gonzalez Maria Cristina Spinola Luisa Maria Sandalio Francisco Javier Cejudo Instituto de Bioqulmica Vegetal y Fotoslntesis Universidad de Sevilla y CSIC Avda Américo Vespucio 49 41092-Sevilla Spain present address: plant Biology Laboratory The Salk Institute 10010 N. Torrey Pines Rd La Jolla CA 92037 USA Estacion Experimental del Zaidin CSIC C/Prof Albareda 1 18008-Granada Spain

NADpH thioredoxin reductase C （NTRC） is a chloroplast enzyme able to conjugate NADpH thioredoxin reductase （NTR） and thioredoxin （TRX） activities for the efficient reduction of 2-Cys peroxiredoxin （2-Cys pRX）. Because NADpH can be produced in chloroplasts during darkness, NTRC plays a key role for plant peroxide detoxification during the night. Here, it is shown that the quaternary structure of NTRC is highly dependent on its redox status. In vitro, most of the enzyme adopted an oligomeric state that disaggregated in dimers upon addition of NADpH, NADH, or DTT. Gel filtration and Western blot analysis of protein extracts from Arabidopsis chloroplast stroma showed that native NTRC forms aggregates, which are sensitive to NADpH and DTT, suggesting that the aggregation state might be a significant aspect of NTRC activity in vivo. Moreover, the enzyme is localized in clusters in Arabidopsis chloroplasts. NTRC triple and double mutants, A164G- V182E-R183F and A164G-R183F, replacing key residues of NADpH binding site, showed reduced activity but were still able to dimerize though with an increase in intermediary forms. Based on these results, we propose that the catalytically active form of NTRC is the dimer, which formation is induced by NADpH.

关键词： Abiotic/environmental stress oxidative and photo-oxidative stress photosynthesis Arabidopsis rice.

A Stable FE-FD Method for Anisotropic parabolic pDEs with Moving Interfaces

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Communications on Applied Mathematics and Computation 2024年第2期6卷 992-1012页

作者： Baiying Dong Zhilin Li juan ruiz-Alvarez School of Civil and Hydraulic Engineering NingXia UniversityYinchuan 750021NingxiaChina School of Mathematics and Computer Science NingXia Normal UniversityGuyuan 756000NingxiaChina Department of Mathematics North Carolina State UniversityRaleighNC 27695-8205USA Departamento de Matematica Aplicada y Estadistica Universidad Politecnica de CartagenaCartagenaSpain

In this paper,a new finite element and finite difference(FE-FD)method has been developed for anisotropic parabolic interface problems with a known moving interface using Cartesian *** the spatial discretization,the standard p,FE discretization is applied so that the part of the coefficient matrix is symmetric positive definite,while near the interface,the maximum principle preserving immersed interface discretization is *** the time discretization,a modified Crank-Nicolson discretization is employed so that the hybrid FE-FD is stable and second order *** terms are needed when the interface crosses grid *** moving interface is represented by the zero level set of a Lipschitz continuous *** experiments presented in this paper confirm second orderconvergence.

关键词： Anisotropic parabolic interface problem Hybrid finite element and finite difference(FE-FD)discretization Modified Crank Nicolson scheme

Guest Editorial:Knowledge‐based deep learning system in bio‐medicine

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 787-789页

作者： Yu‐Dong Zhang juan manuel Górriz University of Leicester LeicesterUK University of Granada GranadaSpain

Numerous healthcare procedures can be viewed as medical sector *** the modern era,computers have become indispensable in the realm of medical decision‐***-ever,the common view of computers in the medical field typically extends only to applications that support doctors in diagnosing *** more tightly intertwine computers with the biomedical sciences,professionals are now more frequently utilising knowledge‐driven deep learning systems(KDLS)and their foundational technologies,especially in the domain of neuroimaging(NI).

关键词： learning computer doctor

Improved organs at risk segmentation based on modified U‐Net with self‐attention and consistency regularisation

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 850-865页

作者： Maksym Manko Anton popov juan manuel Gorriz Javier Ramirez Electronic Engineering Department Igor Sikorsky Kyiv Polytechnic InstituteKyivUkraine Department of Signal Theory Telematics and CommunicationsUniversity of GranadaGranadaSpain

Cancer is one of the leading causes of death in the world,with radiotherapy as one of the treatment *** planning starts with delineating the affected area from healthy organs,called organs at risk(OAR).A new approach to automatic OAR seg-mentation in the chest cavity in Computed Tomography(CT)images is *** proposed approach is based on the modified U‐Net architecture with the ResNet‐34 encoder,which is the baseline adopted in this *** new two‐branch CS‐SA U‐Net architecture is proposed,which consists of two parallel U‐Net models in which self‐attention blocks with cosine similarity as query‐key similarity function(CS‐SA)blocks are inserted between the encoder and decoder,which enabled the use of con-sistency *** proposed solution demonstrates state‐of‐the‐art performance for the problem of OAR segmentation in CT images on the publicly available SegTHOR benchmark dataset in terms of a Dice coefficient(oesophagus-0.8714,heart-0.9516,trachea-0.9286,aorta-0.9510)and Hausdorff distance(oesophagus-0.2541,heart-0.1514,trachea-0.1722,aorta-0.1114)and significantly outperforms the *** current approach is demonstrated to be viable for improving the quality of OAR segmentation for radiotherapy planning.

关键词： 3‐D computer vision deep learning deep neural networks image segmentation medical image processing object segmentation

GAN‐MD:A myocarditis detection using multi‐channel convolutional neural networks and generative adversarial network‐based data augmentation

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 866-878页

作者： Hengame Ahmadi Golilarz Alireza Azadbar Roohallah Alizadehsani juan manuel Gorriz Department of Medical Radiation Engineering Faculty of EngineeringLahijan BranchIslamic Azad UniversityLahijanIran Department of Medical Radiation Engineering Lahijan BranchIslamic Azad UniversityLahijanIran Institute for Intelligent Systems Research and Innovation(IISRI) Deakin UniversityWaurn PondsVictoriaAustralia Data Science and Computational Intelligence Institute University of GranadaGranadaSpain

Myocarditis is a significant public health concern because of its potential to cause heart failure and sudden *** standard invasive diagnostic method,endomyocardial bi-opsy,is typically reserved for cases with severe complications,limiting its widespread ***,non‐invasive cardiac magnetic resonance(CMR)imaging presents a promising alternative for detecting and monitoring myocarditis,because of its high signal contrast that reveals myocardial *** assist medical professionals via artificial intelligence,the authors introduce generative adversarial networks‐multi discriminator(GAN‐MD),a deep learning model that uses binary classification to diagnose myocarditis from CMR *** approach employs a series of convolutional neural networks(CNNs)that extract and combine feature vectors for accurate *** authors suggest a novel technique for improving the classification precision of *** generative adversarial networks(GANs)to create synthetic images for data augmentation,the authors address challenges such as mode collapse and unstable *** a reconstruction loss into the GAN loss function requires the generator to produce images reflecting the discriminator features,thus enhancing the generated images'quality to more accurately replicate authentic data ***,combining this loss function with other reg-ularisation methods,such as gradient penalty,has proven to further improve the perfor-mance of diverse GAN models.A significant challenge in myocarditis diagnosis is the imbalance of classification,where one class dominates over the *** mitigate this,the authors introduce a focal loss‐based training method that effectively trains the model on the minority class *** GAN‐MD approach,evaluated on the Z‐Alizadeh Sani myocarditis dataset,achieves superior results(F‐measure 86.2%;geometric mean 91.0%)compared with other deep learning models and traditional machine learning methods.

关键词： 2‐D 3‐D

Brent *** Texas Intermediate in the US petro derivatives price formation

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petroleum Science 2024年第1期21卷 729-739页

作者： Alejandro Almeida Antonio A.Golpe juan manuel Martín-Alvarez Jose Carlos Vides Universidad Internacional de La Rioja Department of Quantitative Methods for Economics and BusinessLa RiojaSpain University of Huelva Department of Economics and Centro de Estudios Avanzados en FisicaMatematicas y Computacion and ICEIHuelvaSpain Complutense University of Madrid Department of Applied and Structural Economics and History and ICEIMadridSpain

In this paper,we apply the spatial panel model to explore the relationship between the dynamic of two types of crude oil prices(WTI and Brent crude oil)and their refined products over *** the turbulent months of 2011,when Cushing Oklahoma had reached capacity and the crude oil export ban removal in 2015 as breakpoints,we apply this method both in the full sample and the three resultant ***,results suggest our results show that both WTI and Brent display very similar behaviour with the refined ***,when attending to each regime,results derived from the first and third regimes are quite similar to the full sample ***,during the second regime,Brent crude oil became the benchmark in the petrol market,and it influenced the distillate ***,our model can let us determine the price-setters and price-followers in the price formation mechanism through refined *** results possess important considerations to policymakers and the market participants and the price formation.

关键词： Crude oil prices Spatial panel model Refined products price formation

Nickel-based cerium zirconate inorganic complex structures for CO_(2)valorisation via dry reforming of methane

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Journal of Environmental Sciences 2024年第6期140卷 12-23页

作者： juan Luis Martín-Espejo Loukia-pantzechroula Merkouri Jesús Gándara-Loe José Antonio Odriozola Tomas Ramirez Reina Laura pastor-pérez Department of Inorganic Chemistry and Material Sciences Institute of Seville University of Seville-CSICSeville 41092Spain Department of Chemical and process Engineering University of SurreyGuildford GU27XHUnited Kingdom

The increasing anthropogenic emissions of greenhouse gases(GHG)is encouraging extensive research in CO_(2)*** reforming of methane(DRM)depicts a viable strategy to convert both CO_(2)and CH4into syngas,a worthwhile chemical *** the different active phases for DRM,the use of nickel as catalyst is economically favourable,but typically deactivates due to sintering and carbon *** stabilisation of Ni at different loadings in cerium zirconate inorganic complex structures is investigated in this work as strategy to develop robust Ni-based DRM *** and TpR-H2analyses confirmed the existence of different phases according to the Ni loading in these ***,superficial Ni is observed as well as the existence of a CeNiO_(3)perovskite *** catalytic activity was tested,proving that 10 wt.%Ni loading is the optimum which maximises *** catalyst was also tested in long-term stability experiments at 600and 800℃in order to study the potential deactivation issues at two different *** 600℃,carbon formation is the main cause of catalytic deactivation,whereas a robust stability is shown at 800℃,observing no sintering of the active phase evidencing the success of this strategy rendering a new family of economically appealing CO_(2)and biogas mixtures upgrading catalysts.

关键词： CO_(2)conversion Dry reforming of methane Nickel catalysts pyrochlore Cerium zirconate

Debaryomyces hansenii supplementation in low fish meal diets promotes growth,modulates microbiota and enhances intestinal condition in juvenile marine fish

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Journal of Animal Science and Biotechnology 2024年第1期15卷 253-276页

作者： Ignasi Sanahuja Alberto ruiz Joana p.Firmino Felipe E.Reyes-López juan B.Ortiz-Delgado Eva Vallejos-Vidal Lluis Tort Dariel Tovar-Ramírez Isabel M.Cerezo Miguel A.Moriñigo Carmen Sarasquete Enric Gisbert Aquaculture program Institute of Agrifood Research and Technology(IRTA)La Rapita 43540Spain Centro de Biotecnologia Acuicola Universidad de Santiago de ChileSantiagoChile Instituto de Ciencias Marinas de Andalucia(ICMAN-CSIC) Avda.Republica Saharaui no 2Campus Universitario Rio San PedroPuerto RealCadiz 11510Spain Nucleo de Investigaciones Aplicadas en Ciencias Veterinarias y Agronomicas Facultad de Medicina Veterinaria y AgronomiaUniversidad de Las AmericasSantiagoChile Department of Cell Biology Physiologyand ImmunologyUniversitat Autonoma de BarcelonaBarcelonaSpain Centro de Investigaciones Biologicas del Noroeste SC CIBNORLa PazMexico Department of Microbiology Instituto de Biotecnologia Y Desarrollo Azul(IBYDA)Faculty of SciencesUniversity of Malaga29010 MalagaSpain SCBI Bioinformatic UnitUniversity of Malaga29590 MalagaSpain

Background The development of a sustainable business model with social acceptance,makes necessary to develop new strategies to guarantee the growth,health,and well-being of farmed *** hansenii is a yeast species that can be used as a probiotic in aquaculture due to its capacity to i)promote cell proliferation and differen-tiation,ii)have immunostimulatory effects,iii)modulate gut microbiota,and/or iv)enhance the digestive *** provide inside into the effects of *** on juveniles of gilthead seabream(Sparus aurata)condition,we inte-grated the evaluation of the main key performance indicators coupled with the integrative analysis of the intestine condition,through histological and microbiota state,and its transcriptomic *** After 70 days of a nutritional trial in which a diet with low levels of fishmeal(7%)was supplemented with 1.1%of ***(17.2×10^(5) CFU),an increase of ca.12%in somatic growth was observed together with an improve-ment in feed conversion in fish fed a yeast-supplemented *** terms of intestinal condition,this probiotic modu-lated gut microbiota without affecting the intestine cell organization,whereas an increase in the staining intensity of mucins rich in carboxylated and weakly sulphated glycoconjugates coupled with changes in the affinity for certain lectins were noted in goblet *** in microbiota were characterized by the reduction in abundance of several groups of proteobacteria,especially those characterized as opportunistic *** microarrays-based transcrip-tomic analysis found 232 differential expressed genes in the anterior-mid intestine of ***,that were mostly related to metabolic,antioxidant,immune,and symbiotic *** Dietary administration of *** enhanced somatic growth and improved feed efficiency param-eters,results that were coupled to an improvement of intestinal condition as histochemical and transcriptomic tools *** probiotic ye

关键词： Debaryomyces hansenii Intestine condition Low fish meal diet Microbiota Transcriptomics Yeast probiotic