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Decoupled Photovoltaic Power Ramp-rate Calculation Method for Perturb and Observe Algorithms

Journal of Modern Power Systems and Clean Energy 2022年第4期10卷 932-940页

作者： jose miguel riquelme-dominguez Francisco M.Gonzalez-Longatt Sergio Martinez Electrical Engineering Department Escuela Tecnica Superior de Ingenieros IndustrialesUniversidad Politecnica de Madrid28006 MadridSpain Department of Electrical Engineering Information Technology and CyberneticsUniversity of South-Eastern Norway3918 PorsgrunnNorway

As photovoltaic energy increasingly penetrates in power systems,transmission system operators have started to request its participation in providing ancillary services.One of the demanded services is the power ramp-rate control(PRRC),which attempts to limit the power ramps produced by intermittent irradiance conditions.In order to achieve the desired objective,solutions based on storage systems or modifying the maximum power point tracking(MPPT)in perturb and observe(P&O)algorithms are commonly adopted.The starting point in PRRC is the determination of the instantaneous power ramprate,and different methods have been proposed in the literature for its calculation.However,the accuracy and computational speed of existing procedures can be improved,which may be critical in situations with rapid irradiance fluctuations.In this paper,a decoupled photovoltaic power ramp-rate calculation method is presented,in which the effect of variable irradiance and the P&O algorithm are computed separately.The proposed method has been theoretically demonstrated and tested through simulation and experimental tests.Simulation results show that it can improve the previous methods in terms of accuracy and computation time.Experimental validation with hardware-inthe-loop demonstrates the suitability of the proposed method for real-time applications,even in presence of noisy measurements.

关键词： Hardware-in-the-loop maximum power point tracking perturb and observe photovoltaic power ramp-rate control ramp-rate calculation method

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Task Offloading in Edge Computing Using GNNs and DQN

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 2649-2671页

作者： Asier Garmendia-Orbegozo jose David Nunez-Gonzalez miguel Angel Anton Department of Applied Mathematics University of the Basque Country UPV/EHUEibar20600Spain TECNALIA Basque Research and Technology Alliance(BRTA)San Sebastian20009Spain

In a network environment composed of different types of computing centers that can be divided into different layers(clod,edge layer,and others),the interconnection between them offers the possibility of peer-to-peer task offloading.For many resource-constrained devices,the computation of many types of tasks is not feasible because they cannot support such computations as they do not have enough available memory and processing capacity.In this scenario,it is worth considering transferring these tasks to resource-rich platforms,such as Edge Data Centers or remote cloud servers.For different reasons,it is more exciting and appropriate to download various tasks to specific download destinations depending on the properties and state of the environment and the nature of the functions.At the same time,establishing an optimal offloading policy,which ensures that all tasks are executed within the required latency and avoids excessive workload on specific computing centers is not easy.This study presents two alternatives to solve the offloading decision paradigm by introducing two well-known algorithms,Graph Neural Networks(GNN)and Deep Q-Network(DQN).It applies the alternatives on a well-known Edge Computing simulator called PureEdgeSimand compares them with the two defaultmethods,Trade-Off and Round Robin.Experiments showed that variants offer a slight improvement in task success rate and workload distribution.In terms of energy efficiency,they provided similar results.Finally,the success rates of different computing centers are tested,and the lack of capacity of remote cloud servers to respond to applications in real-time is demonstrated.These novel ways of finding a download strategy in a local networking environment are unique as they emulate the state and structure of the environment innovatively,considering the quality of its connections and constant updates.The download score defined in this research is a crucial feature for determining the quality of a download path in the GNN training process and has not previous

关键词： Edge computing edge offloading fog computing task offloading

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Auxin signaling gets oxidative to promote root hair growth

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Molecular Plant 2024年第5期17卷 696-698页

作者： Victoria Berdion Gabarain miguel A.Ibeas Hernan Salinas-Grenet jose M.Estevez Fundación Instituto Leloir&IIBBA-CONICET Av.Patricias Argentinas 435Buenos Aires C1405BWEArgentina Centro de Biotecnología Vegetal Facultad de Ciencias de la VidaUniversidad Andres BelloSantiagoChile ANID Millennium Science Initiative ProgramMillennium Nucleus for the Development of Super Adaptable Plants(MN-SAP)SantiagoChile ANID Millennium Science Initiative ProgramMillennium Institute for Integrative Biology(iBio)SantiagoChile

Root hairs(RHs)emerge as cylindrical cell protrusions from the root epidermis in a polar manner,and these outgrows increase the rhizosphere space to acquire water and nutrients,anchor the plant,and interact with various soil microorganisms.Auxin is one of the key hormones to promote RH growth,and high levels of auxin are directly promoted by low levels of macronutrients in the soil,such as phosphate(Bhosale et al.,2018)and nitrates(Jia et al.,2023).The nutritional signals for roots,which rapidly change in both time and place within the soil,are tightly linked to signaling pathways that execute swifts on cellular processes to adjust to a challenging environment.Plant rapid alkalinization factors(RALFs)are peptides that are released outside the cell and act as peptide-hormone signals.They attach to the extracellular domains of members of the Catharanthus roseus RECEPTOR-LIKE KINASE 1-LIKE family,specifically FERONIA(FER)in conjunction with its co-receptor LORELEI-LIKE-GPIANCHORED PROTEIN 1.

关键词： soil outside alkali

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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 conditions.Cell walls are dynamic structures whose composition and integrity can be altered in response to environmental challenges and developmental cues.These wall changes are perceived by plant sensors/receptors to trigger adaptative responses during development and upon stress perception.Plant 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 resistance.Similarly,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 responses.The number of oligosaccharides DAMPs/MAMPs identified that are perceived by plants has increased in recent years.However,the structural mechanisms underlying glycan recognition by plant PRRs remain limited.Currently,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 responses.Nevertheless,additional families of plant PRRs have recently been implicated in oligosaccharide/polysaccharide recognition.These 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 LRR-extensins.The characterization of structural basis of glycans recognition by these new plant receptors will shed light

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

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Exercised blood plasma promotes hippocampal neurogenesis in the Alzheimer's disease rat brain

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Journal of Sport and Health Science 2024年第2期13卷 245-255页

作者： Cecilie Skarstad Norevik Aleksi M.Huuha Ragnhild N.RФsbjФrgen Linda Hildegard Bergersen Kamilla Jacobsen Rodrigo miguel-dos-Santos Liv Ryan Belma Skender jose Bianco N.Moreira Asgeir Kobro-Flatmoen Menno P.Witter Nathan Scrimgeour Atefe R.Tari Cardiac Exercise Research Group(CERG) Department of Circulation and Medical ImagingNorwegian University of Science and Technology7491TrondheimNorway Department of Neurology and Clinical Neurophysiology St.Olavs University Hospital7030TrondheimNorway Institute of Oral Biology University of Oslo0372OsloNorway Department of Physiology Federal University of SergipeS~ao Cristov~ao49100-000SergipeBrazil Centre of Molecular Inflammation Research Department of Clinical and Molecular MedicineNorwegian University of Science and Technology7491TrondheimNorway Kavli Institute for Systems Neuroscience Centre for Neural Computationand Egil and Pauline Braathen and Fred Kavli Centre for Cortical MicrocircuitsNorwegian University of Science and Technology7030TrondheimNorway K.G.Jebsen Centre for Alzheimer’s Disease Norwegian University of Science and Technology7030TrondheimNorway

Background:Exercise training promotes brain plasticity and is associated with protection against cognitive impairment and Alzheimer’s disease(AD).These beneficial effects may be partly mediated by blood-borne factors.Here we used an in vitro model of AD to investigate effects of blood plasma from exercise-trained donors on neuronal viability,and an in vivo rat model of AD to test whether such plasma impacts cognitive function,amyloid pathology,and neurogenesis.Methods:Mouse hippocampal neuronal cells were exposed to AD-like stress using amyloid-βand treated with plasma collected from human male donors 3 h after a single bout of high-intensity exercise.For in vivo studies,blood was collected from exercise-trained young male Wistar rats(high-intensity intervals 5 days/week for 6 weeks).Transgenic AD rats(McGill-R-Thyl-APP)were inj ected 5 times/fortnight for 6 weeks at2 months or 5 months of age with either(a)plasma from the exercise-trained rats,(b)plasma from sedentary rats,or(c)saline.Cognitive function,amyloid plaque pathology,and neurogenesis were assessed.The plasma used for the treatment was analyzed for 23 cytokines.Results:Plasma from exercised donors enhanced cell viability by 44.1%(p=0.032)and reduced atrophy by 50.0%(p<0.001)in amyloid-β-treated cells.In vivo exercised plasma treatment did not alter cognitive function or amyloid plaque pathology but did increase hippocampal neurogenesis by~3 fold,regardless of pathological stage,when compared to saline-treated rats.Concentrations of 7 cytokines were significantly reduced in exercised plasma compared to sedentary plasma.Conclusion:Our proof-of-concept study demonstrates that plasma from exercise-trained donors can protect neuronal cells in culture and promote adult hippocampal neurogenesis in the AD rat brain.This effect may be partly due to reduced pro-inflammatory signaling molecules in exercised plasma.

关键词： Cytokines High-intensity interval training Inflammation Neurons Plasma transfusion

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Review of MXenes as a component in smart textiles and an adsorbent for textile wastewater remediation

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Chinese Chemical Letters 2024年第2期35卷 208-222页

作者： Kaniz Farhana Kumaran Kadirgama Abu Shadate Faisal Mahamude Rajan jose Department of Apparel Engineering Bangladesh University of TextilesDhaka 1208Bangladesh Faculty of Mechanical and Automotive Engineering Technology Universiti Malaysia Pahang26600 PekanPahangMalaysia Center of Automotive Engineering Universiti Malaysia PahangMalaysia College of Engineering Universiti Malaysia Pahang26300 GambangPahangMalaysia Faculty of Industrial Sciences & Technology Universiti Malaysia Pahang26300 KuantanMalaysia Center of Intelligent Materials Universiti Malaysia Pahang26300 KuantanMalaysia

Two-dimensional(2D)MXenes have emerged as an archetypical layered material combining the properties of an organic-inorganic hybrid offering materials sustainability for a range of applications.Their surface functional groups and the associated chemical properties'tailorability through functionalizing MXenes with other materials as well as hydrophilicity and high conductivity enable them to be the best successor for various applications in textile industries,especially in the advancement of smart textiles and remediation of textile wastewater.MXene-based textile composite performs superb smartness in high-performance wearables as well as in the reduction of textile dyes from wastewater.This article critically reviews the significance of MXenes in two sectors of the textile industry.Firstly,we review the improvement of textile raw materials such as fiber,yarn,and fabric by using MXene as electrodes in supercapacitors,pressure sensors.Secondly,we review advancements in the removal of dyes from textile wastewater utilizing MXene as an absorbent by the adsorption process.MXene-based textiles demonstrated superior strength through the strong bonding between MXene and textile structures as well as the treatment of adsorbate by adsorbent(MXene in the adsorption process).We identify critical gaps for further research to enable their real-life applications.

关键词： Textile fibers Industrial wastewater treatment MAX phases Hybrid electrodes Adsorption

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Hepatocellular carcinoma-the role of the underlying liver disease in clinical practice

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World Journal of Gastroenterology 2024年第19期30卷 2488-2495页

作者： Angelo Zambam de Mattos Isadora Zanotelli Bombassaro Arndt Vogel jose D Debes Department of Internal Medicine Universidade Federal de Ciências da Saúde de Porto AlegreRSPorto Alegre 90020090Brazil Graduate Program in Medicine:Hepatology Federal University of Health Sciences of Porto AlegreRSPorto Alegre 90050-170Brazil Division of Gastroenterology Hepatology University of TorontoHannover M5R 0A3Canada Department of Medicine University of MinnesotaMinneapolisMN 55455United States

Hepatocellular carcinoma(HCC)is one of the most common causes of cancerrelated mortality.This particular type of cancer has the distinctive characteristic of mostly happening in individuals with an underlying liver disease.This makes the management of patients more challenging,since physicians must take into consideration two different conditions,the chronic liver disease and the tumor.The underlying liver disease has several implications in clinical practice,because different kinds of chronic liver disease can lead to varying degrees of risk of developing HCC,obstacles in surveillance,and differences in the efficacy of the treatment against HCC.A shift in the prevalence of liver diseases has been evident over the last few years,with viral hepatitis gradually losing the leading position as cause of HCC and metabolic dysfunction-associated steatotic liver disease gaining importance.Therefore,in an era of personalized medicine,it is imperative that physicians are aware of the underlying liver disease of individuals with HCC and its impact in the management of their tumors.

关键词： Hepatocellular carcinoma Etiology Epidemiology Surveillance Therapy

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Predicting the clothing insulation through machine learning algorithms:A comparative analysis and a practical approach

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Building Simulation 2024年第5期17卷 839-855页

作者： Pablo Aparicio-Ruiz Elena Barbadilla-Martin jose Guadix Jesus Munuzuri Grupo de Ingenieria de Organizacion Escuela Tecnica Superior de IngenieriaUniversidad de SevillaCamino de los Descubrimientos S/N41092SevilleSpain

Since indoor clothing insulation is a key element in thermal comfort models,the aim of the present study is proposing an approach for predicting it,which could assist the occupants of a building in terms of recommendations regarding their ensemble.For that,a systematic analysis of input variables is exposed,and 13 regression and 12 classification machine learning algorithms were developed and compared.The results are based on data from 3352 questionnaires and 21 input variables from a field study in mixed-mode office buildings in Spain.Outdoor temperature at 6 a.m.,indoor air temperature,indoor relative humidity,comfort temperature and gender were the most relevant features for predicting clothing insulation.When comparing machine learning algorithms,decision tree-based algorithms with Boosting techniques achieved the best performance.The proposed model provides an efficient method for forecasting the clothing insulation level and its application would entail optimising thermal comfort and energy efficiency.

关键词： clothing insulation simulation adaptive thermal comfort behavioural adaptive actions machine learning

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Examining the“revisability”benefit of hip resurfacing arthroplasty

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World Journal of Orthopedics 2024年第6期15卷 554-559页

作者： jose George Adam J Taylor Thomas P Schmalzried Department of Orthopedics Harbor UCLA Medical CenterTorranceCA 90509United States

BACKGROUND Hip resurfacing arthroplasty(HRA)is an alternative to total hip arthroplasty(THA)that is typically reserved for young active patients because it preserves bone.However,the benefits of HRA only hold true if conversion THA after failed HRA provides acceptable outcomes.AIM To compare patient reported outcomes for conversion THA after HRA failure to primary THA.METHODS A retrospective review of 36 patients(37 hips)that underwent conversion THA for failed HRA between October 2006 and May 2019 by a single surgeon was performed.Patient reported outcomes[modified Harris Hip Score(mHHS),University of California Los Angeles(UCLA)activity score]were obtained via an email-based responder-anonymous survey.Outcomes were compared to normative data of a primary THA cohort with similar demographics.Subgroup analysis was performed comparing outcomes of conversion THA for adverse local tissue reaction(ALTR)vs all other causes for failure.RESULTS The study group had a lower mHHS than the control group(81.7±13.8 vs 90.2±11.6,P<0.01);however,both groups had similar UCLA activity levels(7.5±2.3 vs 7.2±1.6,P=0.51).Patients that underwent conversion for non-ATLR causes had similar mHHS(85.2±11.5 vs 90.2±11.6,P=0.11)and higher UCLA activity levels(8.5±1.8 vs 7.2±1.6,P<0.01)compared to the control group.Patients that underwent conversion for ATLR had worse mHHS(77.1±14.5 vs 90.2±11.6,P<0.01)and UCLA activity levels(6.1±2.3 vs 7.2±1.6,P=0.05)when compared to the control group.CONCLUSION Patient outcomes equivalent to primary THA can be achieved following HRA conversion to THA.However,inferior outcomes were demonstrated for ALTR-related HRA failure.Patient selection and perhaps further studies examining alternative HRA bearing surfaces should be considered.

关键词： Total hip arthroplasty Hip resurfacing arthroplasty Conversion total hip arthroplasty Adverse local tissue reaction Patient reported outcome measures

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A Survey on Model Predictive Control of DFIGs in Wind Energy Conversion Systems

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CSEE Journal of Power and Energy Systems 2024年第3期10卷 1085-1104页

作者： Shuo Yan Junyu Chen Minghao Wang Yongheng Yang jose M.Rodriguez STEM College RMIT UniversityMelbourneAustralia Hong Kong Polytechnic University Hong KongChina State Key Laboratory of Internet of Things for Smart City(UM) Department of Electrical and Computer EngineeringUniversity of MacaoMacaoChina College of Electrical Engineering Zhejiang UniversityHangzhou 310027China Universidad San Sebastin Campus BellavistaSantiago de ChileCLSantiago de Chile 000000Chile IEEE

This paper presents a comprehensive study on the model predictive control(MPC)of doubly fed induction generators(DFIG)in wind energy conversion systems(WECS);in particular the MPC of the rotor side converter.The general principle of prevalent MPC strategies is discussed to introduce the theoretical framework in the first place.Furthermore,mainstream and high-performance MPC methods of DFIGs have been identified as model predictive current control(MPCC),model predictive torque control(MPTC),and model predictive power control(MPPC).Starting from analyzing dynamic models,these MPC strategies are investigated in terms of operating principles and technical developments.The paper further investigates implementation of MPC strategies in unbalanced grids.Based on the quantitative and qualitative analysis of several case studies,performance of various MPC schemes is compared and their special features are identified.Guidelines for designing MPC strategies of DFIGs in WECS are provided.

关键词： Doubly fed induction generator(DFIG) model predictive control(MPC) wind energy

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