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Plant cell wall-mediated disease resistance:current understanding and future perspectives

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Molecular Plant 2024年第5期17卷 699-724页

作者： Antonio Molina Lucıa Jorda Miguel Angel Torres Marina Martın-Dacal Diego Jose Berlanga Patricia Fernandez-calvo Elena Gomez-Rubio Sonsoles Martın-Santamarıa centro de Biotecnología y Genómica de Plantas Universidad Politécnica de Madrid(UPM)-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria(INIA/CSIC)Campus de Montegancedo UPMPozuelo de Alarcon(Madrid)Spain Departamento de Biotecnologıa-Biología Vegetal Escuela Técnica Superior de Ingenierıa AgronomicaAlimentarıa y de BiosistemasUPMMadridSpain centro de Investigaciones Biologicas Margarita Salas Consejo Superior de Investigaciones Científicas(CSIC)Ramiro de Maeztu 928040 MadridSpain Misión Biológica de Galicia Consejo Superior de Investigaciones Científicas(CSIC)Campus de Montegancedo UPMPozuelo de Alarcón(Madrid)Spain

Beyond their function as structural barriers,plant cell walls are essential elements for the adaptation of plants to environmental *** walls are dynamic structures whose composition and integrity can be altered in response to environmental challenges and developmental *** wall changes are perceived by plant sensors/receptors to trigger adaptative responses during development and upon stress *** cell wall damage caused by pathogen infection,wounding,or other stresses leads to the release of wall molecules,such as carbohydrates(glycans),that function as damage-associated molecular patterns(DAMPs).DAMPs are perceived by the extracellular ectodomains(EcDs)of pattern recognition receptors(PRRs)to activate pattern-triggered immunity(PTI)and disease ***,glycans released from the walls and extracellular layers of microorganisms interacting with plants are recognized as microbe-associated molecular patterns(MAMPs)by specific EcD-PRRs triggering PTI *** number of oligosaccharides DAMPs/MAMPs identified that are perceived by plants has increased in recent ***,the structural mechanisms underlying glycan recognition by plant PRRs remain ***,this knowledge is mainly focused on receptors of the LysM-PRR family,which are involved in the perception of various molecules,such as chitooligosaccharides from fungi and lipo-chitooligosaccharides(i.e.,nod/MYc factors from bacteria and mycorrhiza,respectively)that trigger differential physiological ***,additional families of plant PRRs have recently been implicated in oligosaccharide/polysaccharide *** include receptor kinases(RKs)with leucine-rich repeat and Malectin domains in their EcDs(LRR-MAL RKs),catharanthus roseus REcEPTOR-LIKE KInASE 1-LIKE group(crRLK1L)with Malectin-like domains in their EcDs,as well as wall-associated kinases,lectin-RKs,and *** characterization of structural basis of glycans recogniti

关键词： Arabidopsis thaliana cell wall damage-associated molecular patterns DAMPs disease resistance glycans oligosaccharides pattern-triggered immunity PTl pattern recognition receptor PRRs

Robust hybrid bismuth perovskites as potential photocatalysts for overall water splitting

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nano Research 2024年第5期17卷 4593-4601页

作者： Antonio J.chacón-García Herme G.Baldovi Artem A.Babaryk Antonio Rodríguez-Diéguez Sergio navalón Yolanda Pérez Hermenegildo García Patricia Horcajada Advanced Porous Materials Unit IMDEA Energy InstituteAvda.Ramón y Cajal 328935 MóstolesMadridSpain Departamento de Química Universitat Politècnica de València46022 ValènciaSpain Departamento Química Inorgánica Universidad de Granada1807GranadaSpain Departamento de Biología y Geología Física y Química Inorgánica.ESCET.Universidad Rey Juan Carlos28933 MóstolesMadridSpain Instituto de tecnología química cSIc-UPV Universitat Politècnica de València(UPV)46022Spain

Organic-inorganic hybrid perovskites have gained great attention as promising photocatalysts for hydrogen ***,due to their poor stability in water,the use of aqueous hydrohalic acid solutions is specifically required for an efficient hydrogen ***,three novel photoactive lead-free hybrid perovskites based on bismuth and triazolium cations(denoted as IEF-15,IEF-16,and IEF-17(IEF stands for IMDEA energy frameworks))were synthesized and fully characterized(structural,compositional,optical,etc.).Further,these solids were proposed as photocatalysts for the challenging gas phase overall water splitting(OwS)***,IEF-16 thin films exhibited a remarkable photocatalytic activity in both H_(2) and O_(2) evolution,as a consequence of its appropriate bandgap and energy-band alignment,achieving hydrogen evolution rates ofμmol·g_(H_(2))^(-)1846 and 360 after 24 h under ultraviolet-visible(UV-vis)irradiation or simulated solar irradiation,*** study additionally highlights the remarkable structural and photochemical stability of IEF-16 under different operational conditions(*** volume,irradiation and temperature),paving the way for green hydrogen production from OwS using perovskite-based photocatalysts.

关键词： bismuth-based hybrid perovskites thin films photocatalysis overall water splitting green hydrogen

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“不同人工耳蜗电极电学特性研究”摘译

听力学及言语疾病杂志 2024年

作者：陈慧琴周道民 Swaddiwudhipong n Jiang c Landry TG 全省智能康复与神经电子转化重点实验室

跨阻抗矩阵(trans-impedance matrix,TIM)是指刺激电流在人工耳蜗(cI)电极上所产生的电压场强比率。该电压场强作用于螺旋神经节细胞激发神经冲动而产生听力。在耳蜗模型中对所有cI电极重复构建TIM曲线,所有电路都是公共接地的,即除了...

跨阻抗矩阵(trans-impedance matrix,TIM)是指刺激电流在人工耳蜗(cI)电极上所产生的电压场强比率。该电压场强作用于螺旋神经节细胞激发神经冲动而产生听力。在耳蜗模型中对所有cI电极重复构建TIM曲线,所有电路都是公共接地的,即除了被刺激的电极外,所有cI电极都用作公共回路电极。本实验在相对恒定的体外测试条件下,在耳蜗模型中测量了四种不同设计的cI电极刺激产生的TIM,并研究了cI电极在耳蜗模型中取向对TIM的影响。

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A detailed comparison of the composition of(RE)-Ba-cu-O-Ag bulk superconductors

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Superconductivity 2024年第1期9卷 87-94页

作者： J.V.J.congreve Y.Shi A.R.Dennis H.Druiff n.c.Tutt D.A.cardwell J.H.Durrell Department of Engineering University of CambridgeCambridgeUK

The homogeneity of the microstructure and composition are critical in determining the properties of rare earthbarium‐cuprate,single grain bulk superconductors[(RE)BcO].The magnitude of the trapped magnetic field achieveable in these technologically important materials,in particular,is influenced heavily by the size and distribution of(RE)_(2)BacuO_(x)(RE‐211)flux pinning inclusions in the bulk microstructure,whereas the size and distribution of silver agglomerates present within the bulk superconducting matrix correlate directly with improved mechanical *** careful engineering,these materials have significant potential for application in range of devices related to energy storage,medicine,electro‐magnetic machinery and microelectronic *** of(RE)BcO bulk superconductors typically involves heating a powder compact above its peritectic decomposition temperature followed by slow cooling to facilitate the growth of a single ***(RE)BcO composition has a different peritectic temperature and growth rate,which,therefore,necessitates different requirements in the heating *** fabrication temperature and growth rate,for example,may have an effect on the RE‐211 and silver distribution,which may,in turn,affect the superconducting properties of the resulting single *** this work we compare the distributions of silver and RE‐211 in the single grain microstructures of YBcOAg,GdBcO‐Ag,EuBcO‐Ag and SmBcO‐Ag bulk superconductors using optical microscopy,scanning electron microscopy and energy dispersive x‐ray *** observe that the distributions are very similar along both the a/b‐axis and c‐axis of these *** suggests that factors other than the maximum temperature used to achieve peritectic decomposition and the rate of single grain growth are particularly influential in determining the properties of the as‐processed samples in the top seeded melt growth *** observation demonstrates there is freedom to us

关键词： YBcO‐Ag GdBcO‐Ag SmBcO‐Ag EuBcO‐Ag composition Bulk superconductor

navigating energy landscapes for materials discovery:Integrating modeling,simulation,and machine learning

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Materials Genome Engineering Advances 2024年第1期2卷 21-37页

作者： Sajid Mannan Vaibhav Bihani n.M.Anoop Krishnan John c.Mauro Department of civil Engineering Indian Institute of Technology DelhiHauz KhasNew DelhiIndia Yardi School of Artificial Intelligence Indian Institute of Technology DelhiHauz KhasNew DelhiIndia Department of Materials Science and Engineering The Pennsylvania State UniversityUniversity ParkPennsylvaniaUSA

The energy landscape represents a high-dimensional mapping of the configurational states of an atomic system with their respective *** isobaric conditions,enthalpy landscapes can be used to account for volumetric changes of the *** the energy or enthalpy landscape holds the key for discovering materials with targeted properties,since the landscape encapsulates the complete thermodynamic and kinetic behavior of a system,including relaxation,metastable phases,and ***,the curse of dimensionality prohibits one from enumerating and visualizing the energy landscape-the energy landscape of an n-atom system has 3n ***,we outline the emerging computational techniques that allow the exploration of complex energy landscapes of materials in three distinct categories:the classical,metaheuristic,and machine learning *** discuss the advantages and disadvantages associated with each of these methods,with a focus on the nature of problems where they can provide excellent solutions(and vice versa).Altogether,in addition to giving an overview of existing approaches,we hope the review provides an impetus to develop novel methods to explore the energy landscapes that can,in turn,provide both a fundamental understanding of the physics of materials and accelerate the discovery of novel materials.

关键词： energy landscape enthalpy landscape machine learning molecular simulation optimization

An intelligent active probing and trace-back scheme for IoT anomaly detection

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Digital communications and networks 2024年第1期10卷 168-181页

作者： Luying wang Lingyi chen neal n.xiong Anfeng Liu Tian wang Mianxiong Dong School of computer Science and Engineering Central South UniversityChangsha 410083China Department of computer Science and Mathematics Sul Ross State UniversityAlpineTX 79830USA Artificial Intelligence and Future networks Beijing Normal University&UICZhuhai 519087China Department of Information and Electronic Engineering Muroran Institute of TechnologyMuroran 050-8585Japan

Due to their simple hardware,sensor nodes in IoT are vulnerable to attack,leading to data routing blockages or malicious tampering,which significantly disrupts secure data *** Intelligent Active Probing and Trace-back Scheme for IoT Anomaly Detection(APTAD)is proposed to collect integrated IoT data by recruiting Mobile Edge Users(MEUs).(a)An intelligent unsupervised learning approach is used to identify anomalous data from the collected data by MEUs and help to identify anomalous nodes.(b)Recruit MEUs to trace back and propose a series of trust calculation methods to determine the trust of nodes.(c)The last,the number of active detection packets and detection paths are designed,so as to accurately identify the trust of nodes in IoT at the minimum cost of the network.A large number of experimental results show that the recruiting cost and average anomaly detection time are reduced by 6.5 times and 34.33%respectively,while the accuracy of trust identification is improved by 20%.

关键词： Anomaly detection Internet of things Integrating data collection Mobile edge users Intelligent

clinical-based phenotypes in children with pediatric post-cOVID-19 condition

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world Journal of Pediatrics 2024年第7期20卷 682-691页

作者： Lieke c.E.noij Jelle M.Blankestijn coen R.Lap Marlies A.van Houten Giske Biesbroek Anke-Hilse Maitland-van der Zee Mahmoud I.Abdel-Aziz Johannes B.van Goudoever Mattijs w.Alsem caroline L.H.Brackel Kim J.Oostrom Simone Hashimoto Suzanne w.J.Terheggen-Lagro Department of Pediatric Pulmonology and Allergy Amsterdam UMCLocation AMCEmma Children’s HospitalAmsterdam University Medical CenterRoom G2-222Meibergdreef 91105AZAmsterdamThe Netherlands Department of Pulmonary Medicine Amsterdam UMCAmsterdamThe Netherlands Department of Pediatrics Spaarne GasthuisHoofddorpThe Netherlands Department of Pediatrics Emma Children’s HospitalAmsterdam University Medical CenterAmsterdamThe Netherlands Department of Rehabilitation Medicine Amsterdam Movement SciencesMeibergdreef 9AmsterdamThe Netherlands Department of Paediatric Pulmonology Department of PaediatricsTergooi MCHilversumThe Netherlands Department of child and Adolescent Psychiatry and Psychosocial care Amsterdam UMCAmsterdam Reproduction and DevelopmentAmsterdamThe Netherlands

Background Pediatric post coronavirus disease 2019(cOVID-19)condition(PPcc)is a heterogeneous syndrome,which can significantly affect the daily lives of *** study aimed to identify clinically meaningful phenotypes in children with PPcc,to better characterize and treat this *** Participants were children with physician-diagnosed PPcc,referred to the academic hospital Amsterdam UMc in the netherlands between november 2021 and March *** factors and information on post-cOVID symptoms,comorbidities,and impact on daily life were *** clusters were identified using an unsupervised and unbiased approach for mixed data *** Analysis of 111 patients(aged 3–18 years)revealed three distinct clusters within *** 1(n=62,median age=15 years)predominantly consisted of girls(74.2%).These patients suffered relatively more from exercise intolerance,dyspnea,and smell *** 2(n=33,median age=13 years)contained patients with an even gender distribution(51.5%girls).They suffered from relatively more sleep problems,memory loss,gastrointestinal symptoms,and *** 3(n=16,median age=11 years)had a higher proportion of boys(75.0%),suffered relatively more from fever,had significantly fewer symptoms(median of 5 symptoms compared to 8 and 10 for clusters 1 and 2 respectively),and experienced a lower impact on daily *** This study identified three distinct clinical PPcc phenotypes,with variations in sex,age,symptom patterns,and impact on daily *** findings highlight the need for further research to understand the potentially diverse underlying mechanisms contributing to post-cOVID symptoms in children.

关键词： Adolescents clusters Long cOVID Pediatric Phenotypes Post-cOVID syndrome

A Study of the TPS Based Beam-Matching concept for Medical Linear Accelerators at a Tertiary Hospital

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International Journal of Medical Physics, clinical Engineering and Radiation Oncology 2024年第1期13卷 16-25页

作者： ntombela n. Lethukuthula Rovetto J. nicolas nethwadzi c. Lutendo Mpumelelo nyathi Department of Radiation Oncology Steve Biko Academic Hospital Pretoria South Africa Department of Medical Physics University of Pretoria Pretoria South Africa Department of Medical Physics Sefako Makgatho Health Sciences University Ga-Rankuwa South Africa

The flexibility in radiotherapy can be improved if patients can be moved between any one of the department’s medical linear accelerators (LInAcs) without the need to change anything in the patient’s treatment plan. For this to be possible, the dosimetric characteristics of the various accelerators must be the same, or nearly the same. The purpose of this work is to describe further and compare measurements and parameters after the initial vendor-recommended beam matching of the five LInAcs. Deviations related to dose calculations and to beam matched accelerators may compromise treatment accuracy. The safest and most practical way to ensure that all accelerators are within clinical acceptable accuracy is to include TPS calculations in the LInAcs matching evaluation. Treatment planning system (TPS) was used to create three photons plans with different field sizes 3 × 3 cm, 10 × 10 cm and 25 × 25 cm at a depth of 4.5 cm in Perspex. calculated TPS plans were sent to Mosaiq to be delivered by five LInAcs. TPS plans were compared with five LInAcs measurements data using Gamma analyses of 2% and 2 mm. The results suggest that for four out of the five LInAcs, there was generally good agreement, less than a 2% deviation between the planned dose distribution and the measured dose distribution. However, one specific LInAc named “Asterix” exhibited a deviation of 2.121% from the planned dose. The results show that all of the LInAcs’ performance were within the acceptable deviation and delivering radiation dose consistently and accurately.

关键词： Radiotherapy Beam-Matching Linear Accelerator Dosimetry

Soil organic carbon stocks in native forest of Argentina:a useful surrogate for mitigation and conservation planning under climate variability

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Ecological Processes 2024年第1期13卷 3-24页

作者： Pablo L.Peri Juan Gaitán Matías Mastrangelo Marcelo nosetto Pablo E.Villagra Ezequiel Balducci Martín Pinazo Roxana P.Eclesia Alejandra Von wallis Sebastián Villarino Francisco Alaggia Marina González Polo Silvina Manrique Pablo A.Meglioli Julián Rodríguez-Souilla Martín Mónaco Jimena E.chaves Ariel Medina Ignacio Gasparri Eugenio Alvarez Arnesi María Paula Barral Axel von Müller norberto M.Pahr Josefina Uribe Echevarria Pedro Fernández Marina Morsucci Dardo López Juan Manuel cellini Leandro Alvarez Ignacio Barberis Hernán colomb Ludmila La Manna Sebastián Barbaro cecilia Blundo ximena Sirimarco Laura cavallero Gualberto Zalazar Guillermo Martínez Pastur Instituto nacional de Tecnología Agropecuaria (InTA) Universidad nacional de la Patagonia Austral (UnPA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Universidad nacional de Luján Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Grupo de Estudio de Agroecosistemas y Paisajes Rurales (GEAP) Universidad Nacional de Mar del Plata Consejo Nacional de Investigaciones Científicas y Técnicas(CONICET ) ccT San Luis Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Instituto Argentino de nivología Glaciología y Ciencias Ambientales (IANIGLA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Universidad Nacional de Cuyo Instituto de Investigaciones en Biodiversidad y Medioambiente (InIBIOMA) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Instituto de Investigaciones en Energía no convencional CCT Salta-JujuyConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Laboratorio de Recursos Agroforestales Centro Austral de Investigaciones Científicas (CADIC) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Dirección nacional de Bosques Ministerio de Ambiente y Desarrollo Sostenible de la Nación Instituto de Ecología Regional Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET )Universidad Nacional de Tucumán Universidad nacional de Rosario Instituto de Investigaciones en Ciencias Agrarias de Rosario Centro Científico Tecnológico CONICET Grupo de Estudio de Agroecosistemas y Paisajes Rurales (GEAP) Universidad Nacional de Mar del Plata Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET ) Laboratorio de Investigaciones en Maderas (LIMAD) Universidad Nacional de La Plata (UNLP) Administración de Parques nacionales (APn) Parque Nacional Los Alerces centro de Estudios Ambientales Integrados (cEAI) Universidad Nacional de la Patagonia San Juan Bosco (UNPASJB) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET )

Background The nationally determined contribution（nDc） presented by Argentina within the framework of the Paris Agreement is aligned with the decisions made in the context of the United nations Framework conven-tion on climate change（UnFccc） on the reduction of emissions derived from deforestation and forest degradation, as well as forest carbon conservation（REDD+）. In addition, climate change constitutes one of the greatest threats to forest biodiversity and ecosystem services. However, the soil organic carbon（SOc） stocks of native forests have not been incorporated into the Forest Reference Emission Levels calculations and for conservation planning under cli-mate variability due to a lack of information. The objectives of this study were:（i） to model SOc stocks to 30 cm of native forests at a national scale using climatic, topographic and vegetation as predictor variables, and（ii） to relate SOc stocks with spatial–temporal remotely sensed indices to determine biodiversity conservation concerns due to threats from high inter-annual climate *** we used 1040 forest soil samples（0–30 cm） to generate spatially explicit estimates of SOc native forests in Argentina at a spatial resolution of approximately 200 m. we selected 52 potential predictive environmental covari-ates, which represent key factors for the spatial distribution of SOc. All covariate maps were uploaded to the Google Earth Engine cloud-based computing platform for subsequent modelling. To determine the biodiversity threats from high inter-annual climate variability, we employed the spatial–temporal satellite-derived indices based on Enhanced Vegetation Index（EVI） and land surface temperature（LST） images from Landsat *** SOc model（0–30 cm depth） prediction accounted for 69% of the variation of this soil property across the whole native forest coverage in Argentina. Total mean SOc stock reached 2.81 Pg c（2.71–2.84 Pg c with a probability of 90%） for a total area of 460,790 km2,

关键词： Soil organic carbon Biodiversity native forest climate change mitigation Modelling Resilience