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Engineering 2024年第3期34卷 195-211页

作者： jacopo Aguzzi Laurenz Thomsen Sascha Flögel nathan j.Robinson Giacomo Picardi Damianos Chatzievangelou Nixon Bahamon Sergio Stefanni jordi Grinyó Emanuela Fanelli Cinzia Corinaldesi joaquin Del Rio Fernandez Marcello Calisti Furu Mienis Elias Chatzidouros Corrado Costa Simona Violino Michael Tangherlini Roberto Danovaro Instituto de Ciencias del Mar(ICM-CSIC) Barcelona 08003Spain Stazione Zoologica Anton Dohrn Naples 80121Italy University of Gothenburg Göteborg 40530Sweden GEOMAR Helmholtz Centre for Ocean Research Kiel 24148Germany Fundación Oceanogràfic de la Comunitat Valenciana Valencia 46013Spain Royal Netherlands Institute for Sea Research(NIOZ) Den Burg Texel 1790 ABNetherlands Polytechnic University of Marche(UNIVPM) Ancona 60131Italy SARTI-MAR of the Universitat Politecnica de Catalunya(UPC) Vilanova i la Geltrú08800Spain Lincoln Institute for Agri-food Technology University of LincolnLincoln LN22LGUK Engitec Systems International Limited Limassol 3083Cyprus Consiglio per la Ricerca in Agricoltura e L’analisi Dell’economia Agraria(CREA) Centro di Ricerca Ingegneria e Trasformazioni AgroalimentariMonterotondo 00015Italy

The United Nations(UN)’s call for a decade of“ecosystem restoration”was prompted by the need to address the extensive impact of anthropogenic activities on natural *** ecosystem restoration is increasingly necessary due to increasing habitat degredation in deep waters(>200 m depth).At these depths,which are far beyond those accessible by divers,only established and emerging robotic platforms such as remotely operated vehicles(ROVs),autonomous underwater vehicles(AUVs),landers,and crawlers can operate through manipulators and multiparametric sensor arrays(e.g.,optoacoustic imaging,omics,and environmental probes).The use of advanced technologies for deep-sea ecosystem restoration can provide:①high-resolution three-dimensional(3D)imaging and acoustic mapping of substrates and key taxa,②physical manipulation of substrates and key taxa,③real-time supervision of remote operations and long-term ecological monitoring,and④the potential to work ***,we describe how robotic platforms with in situ manipulation capabilities and payloads of innovative sensors could autonomously conduct active restoration and monitoring across large spatial *** expect that these devices will be particularly useful in deep-sea habitats,such as①reef-building cold-water corals,②soft-bottom bamboo corals,and③soft-bottom fishery resources that have already been damaged by offshore industries(i.e.,fishing and oil/gas).

关键词： Ecosystem restoration Robotic manipulation Acoustic tracking Fishery resources Artificial reefs

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Coastal blue carbon in China as a nature-based solution toward carbon neutrality

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The Innovation 2023年第5期4卷 109-123页

作者： Faming Wang jihua Liu Guoming Qin jingfan Zhang jinge Zhou jingtao Wu Lulu Zhang Poonam Thapa Christian j.sanders Isaac R.Santos Xiuzhen Li Guanghui Lin Qihao Weng jianwu Tang Nianzhi jiao Hai Ren Xiaoliang Research Station of Tropical Coastal Ecosystems Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystemsand the CAS Engineering Laboratory for Ecological Restoration of lsland and Coastal EcosystemsSouth China Botanical GardenChinese Academy of SciencesGuangzhou 510650China Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou 510650China Marine Research Institute Shandong UniversityQingdao 266237China University of Chinese Academy of Sciences Beijing 100049China National Marine Science Centre Faculty of Science and EngineeringSouther Cross UniversityCoffs HarbourNSW 2450Australia Department of Marine Sciences University of Gothenburg41319 GothenburgSweden State Key Laboratory of Estuarine and Coastal Research and Instiute of Eco-Chongming East China Normal UniversityShanghai 201100China Key Laboratory for Earth System Modeling Ministry of EducationDepartment of Earth System ScienceTsinghua UniversityBejing 100084China Laboratory of Stable Isotope and Gulf Ecology Institute of Ocean EngineeringTsinghua's Shenzhen International Graduate SchoolShenzhen 518055China Department of Land Surveying and Geo-nformatics The Hong Kong Polytechnic UniversiyHongkong 99077China Innovative Research Center for Carbon Neutralization Global ONCE ProgramXiamen 361005China

To achieve the Paris Agreement,China pledged to become“Carbon Neutral”by the *** addition to massive decarbonization,this would require significant changes in ecosystems toward negative CO_(2)*** ability of coastal blue carbon ecosystems(BCEs),including mangrove,salt marsh,and seagrass meadows,to sequester large amounts of CO_(2)makes their conservation and restoration an important“nature-based solution(NbS)”for climate adaptation and *** this review,we examine how BCEs in China can contribute to climate *** the national scale,the BCEs in China store up to 118 Tg C across a total area of 1,440,377 ha,including over 75%as unvegetated tidal *** annual sedimental C burial of these BCEs reaches up to 2.06 Tg C year^(−1),of which most occurs in salt marshes and tidal *** lateral C flux of mangroves and salt marshes contributes to 1.17 Tg C year^(−1)along the Chinese *** and restoration of BCEs benefit climate change mitigation and provide other ecological services with a value of$32,000 ha^(−1)year^(−1).The potential practices and technologies that can be implemented in China to improve BCE C sequestration,including their constraints and feasibility,are also *** directions are suggested to improve blue carbon estimates on aerial extent,carbon stocks,sequestration,and mitigation *** and preserving BCEs would be a cost-effective step to achieve Carbon Neutral by 2060 in China despite various barriers that should be removed.

关键词： tidal coastal carbon

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Validating neural networks for spectroscopic classification on a universal synthetic dataset

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npj Computational Materials 2023年第1期9卷 1325-1336页

作者： jan Schuetzke nathan j.Szymanski Markus Reischl Institute for Automation and Applied Informatics Karlsruhe Institute of TechnologyKarlsruhe 76131Germany Department of Materials Science&Engineering Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA Department of Materials Science&Engineering UC BerkeleyBerkeleyCA 94720USA

To aid the development of machine learning models for automated spectroscopic data classification,we created a universal synthetic dataset for the validation of their *** dataset mimics the characteristic appearance of experimental measurements from techniques such as X-ray diffraction,nuclear magnetic resonance,and Raman spectroscopy among *** applied eight neural network architectures to classify artificial spectra,evaluating their ability to handle common experimental *** all models achieved over 98%accuracy on the synthetic dataset,misclassifications occurred when spectra had overlapping peaks or *** found that non-linear activation functions,specifically ReLU in the fully-connected layers,were crucial for distinguishing between these classes,while adding more sophisticated components,such as residual blocks or normalization layers,provided no performance *** on these findings,we summarize key design principles for neural networks in spectroscopic data classification and publicly share all scripts used in this study.

关键词： spectroscopic adding classify

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Inhaled volatile anesthetics in the intensive care unit

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World journal of Critical Care Medicine 2024年第1期13卷 28-39页

作者： Erin D Wieruszewski Mariam ElSaban Patrick M Wieruszewski nathan j Smischney Department of Pharmacy Mayo ClinicRochesterMN 55905United States Anesthesiology and Perioperative Medicine Mayo ClinicRochesterMN 55905United States Department of Anesthesiology&Perioperative Medicine Mayo ClinicRochesterMN 55905United States

The discovery and utilization of volatile anesthetics has significantly transformed surgical practices since their inception in the mid-19th ***,a paradigm shift is observed as volatile anesthetics extend beyond traditional confines of the operating theatres,finding diverse applications in intensive care *** the dynamic landscape of intensive care,volatile anesthetics emerge as a promising avenue for addressing complex sedation requirements,managing refractory lung pathologies including acute respiratory distress syndrome and status asthmaticus,conditions of high sedative requirements including burns,high opioid or alcohol use and neurological conditions such as status *** anesthetics can be administered through either inhaled route via anesthetic machines/devices or through extracorporeal membrane oxygenation circuitry,providing intensivists with multiple options to tailor ***,their unique pharmacokinetic profiles render them titratable and empower clinicians to individualize management with heightened accuracy,mitigating risks associated with conventional sedation *** the amounting enthusiasm for the use of these therapies,barriers to widespread utilization include expanding equipment availability,staff familiarity and training of safe *** article delves into the realm of applying inhaled volatile anesthetics in the intensive care unit through discussing their pharmacology,administration considerations in intensive care settings,complication considerations,and listing indications and evidence of the use of volatile anesthetics in the critically ill patient population.

关键词： Anesthesia Critical care Mechanical ventilation Sedation Volatile anesthetics Sedative

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Adaptively driven X-ray diffraction guided by machine learning for autonomous phase identification

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npj Computational Materials 2023年第1期9卷 2036-2043页

作者： nathan j.Szymanski Christopher j.Bartel Yan Zeng Mouhamad Diallo Haegyeom Kim Gerbrand Ceder Department of Materials Science&Engineering UC BerkeleyBerkeleyCA 94720USA Materials Sciences Division Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA

Machine learning(ML)has become a valuable tool to assist and improve materials characterization,enabling automated interpretation of experimental results with techniques such as X-ray diffraction(XRD)and electron *** ML models are fast once trained,there is a key opportunity to bring interpretation in-line with experiments and make on-the-fly decisions to achieve optimal measurement effectiveness,which creates broad opportunities for rapid learning and information extraction from ***,we demonstrate such a capability with the development of autonomous and adaptive *** coupling an ML algorithm with a physical diffractometer,this method integrates diffraction and analysis such that early experimental information is leveraged to steer measurements toward features that improve the confidence of a model trained to identify crystalline *** validate the effectiveness of an adaptive approach by showing that ML-driven XRD can accurately detect trace amounts of materials in multi-phase mixtures with short measurement *** improved speed of phase detection also enables in situ identification of short-lived intermediate phases formed during solid-state reactions using a standard in-house *** findings showcase the advantages of in-line ML for materials characterization and point to the possibility of more general approaches for adaptive experimentation.

关键词： phase diffraction autonomous

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Global blue carbon accumulation in tidal wetlands increases with climate change

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National Science Review 2021年第9期8卷 145-155页

作者： Faming Wang Christian j.sanders Isaac R.Santos jianwu Tang Mark Schuerch Matthew L.Kirwan Robert E.Kopp Kai Zhu Xiuzhen Li jiacan Yuan Wenzhi Liu Zhian Li Xiaoliang Research Station for Tropical Coastal Ecosystems Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems and the CAS Engineering Laboratory for Ecological Restoration of Island and Coastal Ecosystems South China Botanical Garden Chinese Academy of Sciences Center of Plant Ecology Core Botanical Gardens Chinese Academy of Sciences Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) State Key Laboratory of Estuarine and Coastal Research and Institute of Eco-Chongming East China Normal University National Marine Science Centre School of Environment Science and Engineering Southern Cross University Department of Marine Sciences University of Gothenburg Lincoln Centre for Water and Planetary Health School of Geography University of Lincoln Virginia Institute of Marine Science College of William and Mary Department of Earth and Planetary Sciences and Rutgers Institute of Earth Ocean and Atmospheric Sciences Rutgers University Department of Environmental Studies University of California Department of Atmospheric and Oceanic Sciences Fudan University CAS Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical GardenChinese Academy of Sciences

Coastal tidal wetlands produce and accumulate significant amounts of organic carbon(C) that help to mitigate climate change. However, previous data limitations have prevented a robust evaluation of the global rates and mechanisms driving C accumulation. Here, we go beyond recent soil C stock estimates to reveal global tidal wetland C accumulation and predict changes under relative sea level rise, temperature and precipitation. We use data from literature study sites and our new observations spanning wide latitudinal gradients and 20 countries. Globally, tidal wetlands accumulate 53.65(95%CI: 48.52–59.01)Tg C yr-1, which is ～30% of the organic C buried on the ocean floor. Modeling based on current climatic drivers and under projected emissions scenarios revealed a net increase in the global C accumulation by2100. This rapid increase is driven by sea level rise in tidal marshes, and higher temperature and precipitation in mangroves. Countries with large areas of coastal wetlands, like Indonesia and Mexico, are more susceptible to tidal wetland C losses under climate change, while regions such as Australia, Brazil, the USA and China will experience a significant C accumulation increase under all projected scenarios.

关键词： coastal wetlands blue C C burial rate global change

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Zinc in plants:Integrating homeostasis and biofortification

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Molecular Plant 2022年第1期15卷 65-85页

作者： Camilla Stanton Dale sanders Ute Krämer Dorina Podar john Innes Centre Colney LaneNorwichNR47UHUK Molecular Genetics and Physiology of Plants Ruhr University Bochum44801 BochumGermany Department of Molecular Biology and Biotechnology and Centre for Systems Biology Biodiversity and BioresourcesBabes-Bolyai University400084 Cluj-NapocaRomania

Zinc plays many essential roles in *** a strong Lewis acid that lacks redox activity under environ-mental and cellular conditions,the Zn2+cation is central in determining protein structure and catalytic function of nearly 10%of most eukaryotic *** specific functions of zinc have been elucidated at a molecular level in a number of plant proteins,wider issues abound with respect to the acquisition and distribution of zinc by *** important challenge is to understand how plants balance between Zn supply in soil and their own nutritional requirement for zinc,particularly where edaphic factors lead to a lack of bioavailable zinc or,conversely,an excess of zinc that bears a major risk of *** are the ultimate source of zinc in the human diet,and human Zn deficiency accounts for over 400000 deaths ***,we review the current understanding of zinc homeostasis in plants from the molecular and physiological *** provide an overview of approaches pursued so far in Zn biofortification of ***,we outline a"push-pull"model of zinc nutrition in plants as a simplifying *** summary,this review discusses avenues that can potentially deliver wider bene-fits for both plant and human Zn nutrition.

关键词： zinc biofortification Zn homeostasis cereals Arabidopsis barley wheat rice

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First principles insights into oxide/polymer composites: SrTiO_(3) /polyaniline/graphene

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journal of Materials Science & Technology 2023年第35期166卷 250-260页

作者： nathan D.Wood joshua S.Tse jonathan M.Skelton David j.Cooke Lisa j.Gillie Stephen C.Parker Marco Molinari Department of Chemical Sciences School of Applied SciencesUniversity of HuddersfieldHuddersfield HD13DHUK Department of Chemistry University of ManchesterManchester M139PLUK Department of Chemistry University of BathBath BA27AYUK

A detailed computational investigation,based on density functional theory,of the interaction of polyani-line(PANI)and graphene nanoribbons(GNRs)with SrTiO_(3) is *** adsorption of PANI in var-ious oxidation states and co-adsorption with GNRs is found to be thermodynamically ***-sorbed PANI introduces N and C 2p states into the SrTiO_(3) bandgap,while co-adsorption of PANI and GNRs leads to a bridging of the gap and semi-metallic behaviour,thus rendering the electrical properties highly sensitive to the loading of the GNRs/PANI in the *** the lattice dynamics of the composites predicts a 68-88%reduction in the lattice thermal conductivity due to reduced phonon group *** together,these findings provide insight into the growing number of experimental studies highlighting the enhanced thermoelectric performance of oxide-polymer composites and indicate co-adsorption with graphene as a facile direction for future research.

关键词： Polymer/inorganic composites Polyaniline/strontium titanate/graphene nanoribbon composites PANI/GNR/SrTiO_(3)composites Thermoelectric composites Electrical transport Thermal conductivity1 Introduction

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Low-field, high-gradient NMR shows diffusion contrast consistent with localization or motional averaging of water near surfaces

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Magnetic Resonance Letters 2023年第2期3卷 90-107,I0003页

作者： nathan H.Williamson Velencia j.Witherspoon Teddy X.Cai Rea Ravin Ferenc Horkay Peter j.Basser Eunice Kennedy Shriver National Institute of Child Health and Human Development National Institutes of HealthBethesdaMD20892USA Wellcme Centre for Igative Neuromging FMRIBNuffeld Department of Clinical NeurosciencesUiversity of Oxford Oxford OX39DUUK Celoptics RockvilleMD20850USA

Nuclear magnetic resonance(NMR)measurements of water diffusion have been extensively used to probe microstructure in porous materials,such as biological tissue,however primarily using pulsed gradient spin echo(PGSE)***-field single-sided NMR systems have built-in static gradients(SG)much stronger than typical PGSE maximum gradient strengths,which allows for the signal attenuation at extremely high b-values to be ***,we perform SG spin echo(SGSE)and SG stimulated echo(SGSTE)diffusion measurements on biological cells,tissues,and *** on fixed and live neonatal mouse spinal cord,lobster ventral nerve cord,and starved yeast cells all show multiexponential signal attenuation on a scale of b with significant signal fractions observed at b×Do>1 with b as high as 400 ms/*** persistent signal fractions trend with surface-to-volume ratios for these systems,as expected from porous media *** exception found for the case of fixed *** spinal cords was attributed to faster exchange or permeability in live spinal cords than in fixed spinal cords on the millisecond *** suggests the existence of multiple exchange processes in neural tissue,which may be relevant to the modeling of time-dependent diffusion in gray *** observed multi-exponential attenuation is from protons on water and not macromolecules because it remains proportional to the normalized signal when a specimen is washed with *** signal that persists to b×Do>1 is also drastically reduced after delipidation,indicating that it originates from lipid membranes that restrict water *** multiexponential or stretched exponential character of the signal attenuation at b×Do>1 appears mono-exponential when viewed on a scale of(b×Do)/3,suggesting it may originate from localization or motional averaging of water near membranes on sub-micron length *** try to disambiguate these two contributions,signal attenuation curves were compared at varying temper

关键词： Magnetic resonance in porous media Single-sided NMR-MOUSE Microstructure High b-values Short diffusion time Stretched exponential Diffusion MRI contrast mechanisms

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The skeletal muscle fiber periphery:A nexus of mTOR-related anabolism

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运动医学与健康科学(英文) 2023年第1期5卷 10-19页

作者： Cassidy T.Tinline-Goodfellow Matthew j.Lees nathan Hodson Faculty of Kinesiology and Physical Education University of TorontoCanada Institute of Sport Manchester Metropolitan UniversityManchesterUnited Kingdom Department of Sport and Exercise Sciences Manchester Metropolitan UniversityManchesterUnited Kingdom

Skeletal muscle anabolism is driven by numerous stimuli such as growth factors,nutrients(i.e.,amino acids,glucose),and mechanical *** stimuli are integrated by the mechanistic target of rapamycin(mTOR)complex 1(mTORC1)signal transduction *** recent years,work from our laboratory and elsewhere has sought to unravel the molecular mechanisms underpinning the mTOR-related activation of muscle protein synthesis(MPS),as well as the spatial regulation of these mechanisms within the skeletal muscle *** studies have suggested that the skeletal muscle fiber periphery is a region of central importance in anabolism(i.e.,growth/MPS).Indeed,the fiber periphery is replete with the substrates,molecular machinery,and translational apparatus necessary to facilitate *** review provides a summary of the mechanisms underpinning the mTOR-associated activation of MPS from cell,rodent,and human *** also presents an overview of the spatial regulation of mTORC1 in response to anabolic stimuli and outlines the factors that distinguish the periphery of the cell as a highly notable region of skeletal muscle for the induction of *** research should seek to further explore the nutrient-induced activation of mTORC1 at the periphery of skeletal muscle fibers.

关键词： Skeletal muscle mTOR Periphery Muscle protein synthesis Hypertrophy Translation

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