0000000000989721

AUTHOR

Jing Xu

showing 19 related works from this author

Cytosporones, coumarins, and an alkaloid from the endophytic fungus Pestalotiopsis sp. isolated from the Chinese mangrove plant Rhizophora mucronata

2009

Chemical examination of the endophytic fungus Pestalotiopsis sp., isolated from the leaves of the Chinese mangrove Rhizophora mucronata, yielded 11 new compounds including cytosporones J-N (1-3, 5-6), five new coumarins pestalasins A-E (8-12), and a new alkaloid named pestalotiopsoid A (14), along with the known compounds cytosporone C (4), dothiorelone B (7), and 3-hydroxymethyl-6,8-dimethoxycoumarin (13). The structures of the new compounds were unambiguously elucidated on the basis of extensive spectroscopic data analysis.

Spectrometry Mass Electrospray IonizationMagnetic Resonance SpectroscopyClinical BiochemistryPharmaceutical ScienceBiochemistryEndophyteCell Linechemistry.chemical_compoundAlkaloidsAscomycotaCoumarinsDrug DiscoveryBotanyAnimalsHumansPestalotiopsisMolecular BiologyRhizophora mucronatabiologyAlkaloidOrganic ChemistryRhizophoraceaePhenolic acidFungi imperfectibiology.organism_classificationchemistryRhizophoraceaeMolecular MedicineSpectrophotometry UltravioletMangroveBioorganic & Medicinal Chemistry
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Calibration strategy of the JUNO experiment

2021

We present the calibration strategy for the 20 kton liquid scintillator central detector of the Jiangmen Underground Neutrino Observatory (JUNO). By utilizing a comprehensive multiple-source and multiple-positional calibration program, in combination with a novel dual calorimetry technique exploiting two independent photosensors and readout systems, we demonstrate that the JUNO central detector can achieve a better than 1% energy linearity and a 3% effective energy resolution, required by the neutrino mass ordering determination. [Figure not available: see fulltext.]

Nuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsPhysics::Instrumentation and Detectorsmeasurement methodsscintillation counter: liquidenergy resolutionFOS: Physical sciencesPhotodetectorScintillator53001 natural sciencesNOHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)hal-03022811PE2_2Optics0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Calibrationlcsh:Nuclear and particle physics. Atomic energy. Radioactivityddc:530[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsAstrophysiqueJiangmen Underground Neutrino ObservatoryPhysicsJUNOliquid [scintillation counter]010308 nuclear & particles physicsbusiness.industrySettore FIS/01 - Fisica SperimentaleDetectorAstrophysics::Instrumentation and Methods for AstrophysicsLinearityInstrumentation and Detectors (physics.ins-det)calibrationNeutrino Detectors and Telescopes (experiments)lcsh:QC770-798High Energy Physics::ExperimentNeutrinobusinessEnergy (signal processing)Journal of High Energy Physics
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Identifying Oscillatory Hyperconnectivity and Hypoconnectivity Networks in Major Depression Using Coupled Tensor Decomposition

2021

AbstractPrevious researches demonstrate that major depression disorder (MDD) is associated with widespread network dysconnectivity, and the dynamics of functional connectivity networks are important to delineate the neural mechanisms of MDD. Cortical electroencephalography (EEG) oscillations act as coordinators to connect different brain regions, and various assemblies of oscillations can form different networks to support different cognitive tasks. Studies have demonstrated that the dysconnectivity of EEG oscillatory networks is related with MDD. In this study, we investigated the oscillatory hyperconnectivity and hypoconnectivity networks in MDD under a naturalistic and continuous stimuli…

masennusElementary cognitive taskComputer scienceBiomedical EngineeringmusiikkiElectroencephalographyMusic listeningvärähtelytInternal MedicinemedicineHumansTensor decompositionEEGDepressive Disorder Majormedicine.diagnostic_testQuantitative Biology::Neurons and CognitionDepressionsignaalinkäsittelyGeneral NeuroscienceFunctional connectivityRehabilitationBrainComputer Science::Software Engineeringsignaalianalyysihermoverkot (biologia)ElectroencephalographyHyperconnectivitymajor depression disorder naturalistic music stimuli oscillatory networksMagnetic Resonance ImagingPotential biomarkersCorrelation analysiscoupled tensor decompositiondynamic functional connectivitykognitiivinen neurotiedeNeuroscienceMusicärsykkeet
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Functional connectivity of major depression disorder using ongoing EEG during music perception

2020

Abstract Objective The functional connectivity (FC) of major depression disorder (MDD) has not been well studied under naturalistic and continuous stimuli conditions. In this study, we investigated the frequency-specific FC of MDD patients exposed to conditions of music perception using ongoing electroencephalogram (EEG). Methods First, we applied the phase lag index (PLI) method to calculate the connectivity matrices and graph theory-based methods to measure the topology of brain networks across different frequency bands. Then, classification methods were adopted to identify the most discriminate frequency band for the diagnosis of MDD. Results During music perception, MDD patients exhibit…

Adultmasennusmedicine.medical_specialtymusic perceptionFrequency bandmusiikkiElectroencephalographyAudiologybehavioral disciplines and activitiesnaturalistic stimuli050105 experimental psychology03 medical and health sciencesBeta bandYoung Adult0302 clinical medicinePhysiology (medical)mental disordersmedicineHumans0501 psychology and cognitive sciencesEEGDepression (differential diagnoses)AgedDepressive Disorder Majormedicine.diagnostic_testFunctional connectivity05 social sciencesfunctional connectivitymajor depression disorderBrainElectroencephalographyMiddle AgedSensory SystemsPhase lagongoing EEGNeurologyMusic perceptionAuditory PerceptionClassification methodsNeurology (clinical)Psychology030217 neurology & neurosurgeryMusicärsykkeet
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Shared and Unshared Feature Extraction in Major Depression During Music Listening Using Constrained Tensor Factorization

2021

Ongoing electroencephalography (EEG) signals are recorded as a mixture of stimulus-elicited EEG, spontaneous EEG and noises, which poses a huge challenge to current data analyzing techniques, especially when different groups of participants are expected to have common or highly correlated brain activities and some individual dynamics. In this study, we proposed a data-driven shared and unshared feature extraction framework based on nonnegative and coupled tensor factorization, which aims to conduct group-level analysis for the EEG signals from major depression disorder (MDD) patients and healthy controls (HC) when freely listening to music. Constrained tensor factorization not only preserve…

masennusmajor depressive disordersignaalinkäsittelymusiikkinaturalistic music stimulisignaalianalyysiNeurosciences. Biological psychiatry. NeuropsychiatryHuman Neuroscienceconstrained tensor factorizationbehavioral disciplines and activitiesBehavioral NeurosciencePsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyCANDECOMP/PARAFACaivotutkimusEEGärsykkeetBiological PsychiatryRC321-571Original ResearchFrontiers in Human Neuroscience
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Molecular Mechanisms of the Blockage of Glioblastoma Motility

2021

Glioblastoma (GBM) is the most common and lethal brain tumor. GBM has a remarkable degree of motility and is able to infiltrate the healthy brain. In order to perform a rationale-based drug-repositioning study, we have used known inhibitors of two small Rho GTPases, Rac1 and Cdc42, which are upregulated in GBM and are involved in the signaling processes underlying the orchestration of the cytoskeleton and cellular motility. The selected inhibitors (R-ketorolac and ML141 for Cdc42 and R-ketorolac and EHT 1864 for Rac1) have been successfully employed to reduce the infiltration propensity of GBM in live cell imaging studies. Complementarily, all-atom simulations have elucidated the molecular …

rac1 GTP-Binding Proteinrho GTP-Binding ProteinsGeneral Chemical EngineeringBrain tumorMotilityRAC1CDC42Library and Information SciencesBiologySettore BIO/09 - FisiologiaMicrotubules01 natural sciencesDownregulation and upregulationLive cell imaging0103 physical sciencesmedicineHumanscdc42 GTP-Binding Protein010304 chemical physicsDrug discoveryCancerGeneral Chemistrymedicine.disease0104 chemical sciencesComputer Science Applications010404 medicinal & biomolecular chemistrySettore CHIM/03 - Chimica Generale E InorganicaCancer researchGlioblastomaJournal of Chemical Information and Modeling
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Assessment of nonnegative matrix factorization algorithms for electroencephalography spectral analysis.

2020

AbstractBackgroundNonnegative matrix factorization (NMF) has been successfully used for electroencephalography (EEG) spectral analysis. Since NMF was proposed in the 1990s, many adaptive algorithms have been developed. However, the performance of their use in EEG data analysis has not been fully compared. Here, we provide a comparison of four NMF algorithms in terms of accuracy of estimation, stability (repeatability of the results) and time complexity of algorithms with simulated data. In the practical application of NMF algorithms, stability plays an important role, which was an emphasis in the comparison. A Hierarchical clustering algorithm was implemented to evaluate the stability of NM…

lcsh:Medical technologyComputer scienceBiomedical EngineeringStability (learning theory)ElectroencephalographySignal-To-Noise RatioClusteringNon-negative matrix factorizationBiomaterialsNonnegative matrix factorization03 medical and health sciencesklusterit0302 clinical medicineEeg dataalgoritmitmedicineHumansRadiology Nuclear Medicine and imagingSpectral analysisstabiilius (muuttumattomuus)EEGCluster analysisTime complexity030304 developmental biology0303 health sciencesRadiological and Ultrasound Technologymedicine.diagnostic_testResearchnonnegative matrix factorizationElectroencephalographySignal Processing Computer-AssistedGeneral MedicinestabilityModels TheoreticalHierarchical clusteringlcsh:R855-855.5AlgorithmStability030217 neurology & neurosurgeryAlgorithmsclusteringspektrianalyysiBiomedical engineering online
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Radioactivity control strategy for the JUNO detector

2021

JUNO is a massive liquid scintillator detector with a primary scientific goal of determining the neutrino mass ordering by studying the oscillated anti-neutrino flux coming from two nuclear power plants at 53 km distance. The expected signal anti-neutrino interaction rate is only 60 counts per day, therefore a careful control of the background sources due to radioactivity is critical. In particular, natural radioactivity present in all materials and in the environment represents a serious issue that could impair the sensitivity of the experiment if appropriate countermeasures were not foreseen. In this paper we discuss the background reduction strategies undertaken by the JUNO collaboration…

Nuclear and High Energy PhysicsPhysics - Instrumentation and DetectorsPhysics::Instrumentation and DetectorsNuclear engineeringMonte Carlo methodControl (management)measurement methodsFOS: Physical sciencesQC770-798Scintillator7. Clean energy01 natural sciencesNOPE2_2Nuclear and particle physics. Atomic energy. Radioactivity0103 physical sciences[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]ddc:530Sensitivity (control systems)010306 general physicsPhysicsJUNOliquid [scintillation counter]010308 nuclear & particles physicsbusiness.industryDetectorSettore FIS/01 - Fisica Sperimentaleradioactivity [background]suppression [background]Instrumentation and Detectors (physics.ins-det)Monte Carlo [numerical calculations]Nuclear powerthreshold [energy]sensitivityNeutrino Detectors and Telescopes (experiments)GEANTNeutrinobusinessEnergy (signal processing)
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The heat of transfer in a chemical reaction at equilibrium.

2007

International audience; We study a reacting mixture (2F $ F2) in a temperature gradient. We had previously used boundary-driven non-equilibrium molecular dynamics (NEMD) simulations to study this system, and found that the reaction was close to local chemical equilibrium in temperature gradients up to 1012 K/m. Using the condition of local chemical equilibrium, we show that the heat of transfer of the reacting mixture is equal to minus the enthalpy of the reaction. The fact that the sign of the heat of transfer is determined by the type of reaction adds insight to the discussion of the origin of the sign

Materials science010304 chemical physicsGeneral Physics and AstronomyThermodynamics02 engineering and technologyGeneral Chemistry021001 nanoscience & nanotechnology01 natural sciencesReaction quotient[PHYS.PHYS.PHYS-CHEM-PH] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Law of mass actionReaction rate[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistry[CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistryChemical clock[ PHYS.PHYS.PHYS-CHEM-PH ] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Equilibrium thermodynamicsTemperature jump0103 physical sciences[ CHIM.THEO ] Chemical Sciences/Theoretical and/or physical chemistry[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Chemical equilibrium0210 nano-technologyEquilibrium constantComputingMilieux_MISCELLANEOUS
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Altered EEG Oscillatory Brain Networks During Music-Listening in Major Depression

2021

To examine the electrophysiological underpinnings of the functional networks involved in music listening, previous approaches based on spatial independent component analysis (ICA) have recently been used to ongoing electroencephalography (EEG) and magnetoencephalography (MEG). However, those studies focused on healthy subjects, and failed to examine the group-level comparisons during music listening. Here, we combined group-level spatial Fourier ICA with acoustic feature extraction, to enable group comparisons in frequency-specific brain networks of musical feature processing. It was then applied to healthy subjects and subjects with major depressive disorder (MDD). The music-induced oscil…

masennusmedicine.medical_specialtyComputer Networks and Communicationsneural oscillationsFeature extractionmusiikkiAlpha (ethology)musiikkipsykologiaMajor depressive disordernaturalistic music listeningAudiologyElectroencephalographyDIAGNOSISbehavioral disciplines and activities050105 experimental psychology03 medical and health sciences0302 clinical medicineSIGNALSmedicine0501 psychology and cognitive sciencesEEGRESTING-STATE NETWORKSmajor depressive disorderINDEPENDENT COMPONENT ANALYSISONGOING EEGmedicine.diagnostic_testsignaalinkäsittely05 social sciences3112 Neuroscienceshermoverkot (biologia)signaalianalyysiFUNCTIONAL CONNECTIVITYADULTSGeneral MedicineMagnetoencephalographymedicine.diseasebrain networksIndependent component analysisongoing EEGhumanitiesElectrophysiologyindependent component analysisFMRI DATAFeature (computer vision)SYNCHRONIZATIONMajor depressive disorderPsychology030217 neurology & neurosurgeryRESPONSESInternational Journal of Neural Systems
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Microscopic Insights Into the Formation of Methanesulfonic Acid–Methylamine–Ammonia Particles Under Acid-Rich Conditions

2022

Understanding the microscopic mechanisms of new particle formation under acid-rich conditions is of significance in atmospheric science. Using quantum chemistry calculations, we investigated the microscopic formation mechanism of methanesulfonic acid (MSA)–methylamine (MA)–ammonia (NH3) clusters. We focused on the binary (MSA)2n-(MA)n and ternary (MSA)3n-(MA)n-(NH3)n, (n = 1–4) systems which contain more acid than base molecules. We found that the lowest-energy isomers in each system possess considerable thermodynamic and dynamic stabilities. In studied cluster structures, all bases are protonated, and they form stable ion pairs with MSA, which contribute to the charge transfer and the stab…

aerosolitbase ratio [acid]proton transferEcologyammoniakkipienhiukkasetilmakemiahappamuusklusteritnew particle formationrikkiyhdisteetacid-rich conditiontyppiyhdisteetmethanesulfonic acid–methylamine–ammonia particlesEcology Evolution Behavior and SystematicsFrontiers in Ecology and Evolution
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Acute Hypoxemic Respiratory Failure in Immunocompromised Patients: Taking Aggressive Measures to Identify Etiology

2019

medicine.medical_specialtylcsh:R5-920Acute hypoxemic respiratory failurebusiness.industryrespiratory failurehypoxeamiaGeneral Medicinenon-invasive mechanical ventilation (NIV)Respiratory failureEtiologyMedicinebusinessIntensive care medicinelcsh:Medicine (General)highflowimmunocompromised hostFrontiers in Medicine
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Transport properties of 2F = F2 in a temperature gradient as studied by molecular dynamics simulations

2007

International audience; We calculate transport properties of a reacting mixture of F and F2 from results of nonequilibrium molecular dynamics simulations. The reaction investigated is controlled by thermal diffusion and is close to local chemical equilibrium. The simulations show that a formulation of the transport problem in terms of classical non-equilibrium thermodynamics theory is sound. The chemical reaction has a large effect on the magnitude and temperature dependence of the thermal conductivity and the interdiffusion coefficient. The increase in the thermal conductivity in the presence of the chemical reaction, can be understood as a response to an imposed temperature gradient, whic…

Molecular ConformationGeneral Physics and AstronomyThermodynamics02 engineering and technology010402 general chemistryThermal diffusivity7. Clean energy01 natural sciencesChemical reaction[PHYS.PHYS.PHYS-CHEM-PH] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]DiffusionMolecular dynamicsThermal conductivityComputer SimulationPhysical and Theoretical ChemistryComputingMilieux_MISCELLANEOUSChemistryEntropy productionThermal ConductivityFluorine021001 nanoscience & nanotechnology0104 chemical sciences[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistryTemperature gradient[ PHYS.PHYS.PHYS-CHEM-PH ] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph][CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistryModels Chemical13. Climate action[ CHIM.THEO ] Chemical Sciences/Theoretical and/or physical chemistryThermodynamics[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Chemical equilibrium0210 nano-technologyStationary state
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Response to Discussion on Y. Zhu, X. Wang, K. Mathiak, P. Toiviainen, T. Ristaniemi, J. Xu, Y. Chang and F. Cong, Altered EEG Oscillatory Brain Netwo…

2021

Biopsychosocial modelmedicine.medical_specialtyDepressive Disorder MajorMusic therapymedicine.diagnostic_testComputer Networks and CommunicationsDepressionBrainElectroencephalographyGeneral MedicineAudiologyMusic listeningElectroencephalographymedicineHumansPsychologyDepression (differential diagnoses)MusicInternational journal of neural systems
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Minimal information for studies of extracellular vesicles 2018 (MISEV2018):a position statement of the International Society for Extracellular Vesicl…

2018

The last decade has seen a sharp increase in the number of scientific publications describing physiological and pathological functions of extracellular vesicles (EVs), a collective term covering various subtypes of cell-released, membranous structures, called exosomes, microvesicles, microparticles, ectosomes, oncosomes, apoptotic bodies, and many other names. However, specific issues arise when working with these entities, whose size and amount often make them difficult to obtain as relatively pure preparations, and to characterize properly. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles ("MISEV") guidelines fo…

ectosomeectosomes; exosomes; extracellular vesicles; guidelines; microparticles; microvesicles; minimal information requirements; reproducibility; rigor; standardization; Histology; Cell Biology[SDV]Life Sciences [q-bio]minimal information requirementsectosomes; exosomes; extracellular vesicles; guidelines; microparticles; microvesicles; minimal information requirements; reproducibility; rigor; standardizationsize-exclusionectosomesMedicine and Health SciencesCELL-DERIVED MICROPARTICLESFIELD-FLOW FRACTIONATIONguidelinesrequirementscirculatingComputingMilieux_MISCELLANEOUSmicroparticlesManchester Cancer Research Centrelcsh:Cytologyextracellular vesicles; exosomes; ectosomes; microvesicles; minimal information requirements; guidelines; standardization; microparticles; rigor; reproducibilityPROSTATE-CANCERmicroparticleCell interactionmicrovesiclechromatographyPosition Paperextracellular vesiclesguidelineLife Sciences & Biomedicinemicrovesiclesectosomes exosomes extracellular vesicles guidelines microparticles microvesicles minimal information requirements reproducibility rigor standardizationMEMBRANE-VESICLESHistologyFETAL BOVINEEctosomes ; Exosomes ; Extracellular Vesicles ; Guidelines ; Microparticles ; Microvesicles ; Minimal Information Requirements ; Reproducibility ; Rigor ; StandardizationCIRCULATING MICROPARTICLES[SDV.BC]Life Sciences [q-bio]/Cellular Biologyexosomesddc:570exosomeSURFACE-PLASMON RESONANCEddc:610lcsh:QH573-671BiologyreproducibilitystandardizationInteracció cel·lularScience & TechnologyResearchInstitutes_Networks_Beacons/mcrcCell BiologyrigorCell membranesHUMAN URINARY EXOSOMESPREANALYTICAL PARAMETERSminimal information requirementSIZE-EXCLUSION CHROMATOGRAPHY1182 Biochemistry cell and molecular biologyextracellular vesicleHuman medicineMembranes cel·lulars
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The Design and Sensitivity of JUNO's scintillator radiopurity pre-detector OSIRIS

2021

The European physical journal / C 81(11), 973 (2021). doi:10.1140/epjc/s10052-021-09544-4

Liquid scintillatorPhysics - Instrumentation and DetectorsPhysics and Astronomy (miscellaneous)Physics::Instrumentation and Detectorsscintillation counter: liquidmeasurement methodsQC770-798Astrophysics01 natural sciencesthorium: nuclidedesign [detector]neutrinoRadioactive purityPhysicsLow energy neutrinoJUNOliquid [scintillation counter]biologySettore FIS/01 - Fisica SperimentaleDetectorInstrumentation and Detectors (physics.ins-det)3. Good healthQB460-466Physics::Space Physicsnuclide [uranium]FOS: Physical sciencesScintillatornuclide [thorium]530NONuclear physicsPE2_2uranium: nuclideNuclear and particle physics. Atomic energy. Radioactivity0103 physical sciencesddc:530Sensitivity (control systems)[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]010306 general physicsJUNO neutrino physics liquid scintillatorEngineering (miscellaneous)background: radioactivitydetector: designMeasurement method010308 nuclear & particles physicsradioactivity [background]biology.organism_classificationsensitivityHigh Energy Physics::ExperimentReactor neutrinoOsiris
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JUNO sensitivity to low energy atmospheric neutrino spectra

2021

Atmospheric neutrinos are one of the most relevant natural neutrino sources that can be exploited to infer properties about cosmic rays and neutrino oscillations. The Jiangmen Underground Neutrino Observatory (JUNO) experiment, a 20 kton liquid scintillator detector with excellent energy resolution is currently under construction in China. JUNO will be able to detect several atmospheric neutrinos per day given the large volume. A study on the JUNO detection and reconstruction capabilities of atmospheric $\nu_e$ and $\nu_\mu$ fluxes is presented in this paper. In this study, a sample of atmospheric neutrino Monte Carlo events has been generated, starting from theoretical models, and then pro…

Physics and Astronomy (miscellaneous)Physics::Instrumentation and Detectorsscintillation counter: liquidenergy resolutionAtmospheric neutrinoQC770-798Astrophysics7. Clean energy01 natural sciencesneutrino: fluxHigh Energy Physics - ExperimentHigh Energy Physics - Experiment (hep-ex)particle source [neutrino]neutrinoneutrino: atmosphere[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex]Cherenkovneutrino/e: particle identificationenergy: low [neutrino]Jiangmen Underground Neutrino ObservatoryPhysicsJUNOphotomultiplierliquid [scintillation counter]primary [neutrino]neutrino: energy spectrumDetectoroscillation [neutrino]neutrinosMonte Carlo [numerical calculations]atmosphere [neutrino]QB460-466observatorycosmic radiationComputer Science::Mathematical Softwareproposed experimentNeutrinonumerical calculations: Monte CarloComputer Science::Machine LearningParticle physicsdata analysis methodAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesCosmic rayScintillatorComputer Science::Digital LibrariesNOStatistics::Machine LearningPE2_2neutrino: primaryneutrino: spectrumNuclear and particle physics. Atomic energy. Radioactivity0103 physical sciencesddc:530structure010306 general physicsNeutrino oscillationEngineering (miscellaneous)Cherenkov radiationparticle identification [neutrino/mu]Scintillationneutrino/mu: particle identificationflavordetectorparticle identification [neutrino/e]010308 nuclear & particles physicsneutrino: energy: lowHigh Energy Physics::Phenomenologyspectrum [neutrino]resolutionenergy spectrum [neutrino]flux [neutrino]neutrino: particle source13. Climate actionHigh Energy Physics::Experimentneutrino: oscillationneutrino detector
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Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1

2021

Contains fulltext : 232759.pdf (Publisher’s version ) (Closed access) In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to…

0301 basic medicineProgrammed cell deathSettore BIO/06AutophagosomeAutolysosome[SDV]Life Sciences [q-bio]lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4]Autophagy-Related ProteinsReviewComputational biology[SDV.BC]Life Sciences [q-bio]/Cellular BiologyBiologySettore MED/0403 medical and health sciencesstressChaperone-mediated autophagyddc:570AutophagyLC3AnimalsHumanscancerSettore BIO/10Autophagosome; cancer; flux; LC3; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuoleSet (psychology)Molecular Biologyvacuole.phagophore030102 biochemistry & molecular biologyvacuolebusiness.industryInterpretation (philosophy)AutophagyAutophagosomesneurodegenerationCell BiologyfluxMulticellular organismmacroautophagy030104 developmental biologyKnowledge baselysosomeAutophagosome; LC3; cancer; flux; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuoleBiological AssayLysosomesbusinessBiomarkers[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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Autophagy

2021

In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide…

macroautophagy;autophagyAutophagosome[SDV]Life Sciences [q-bio]canceLC3 macroautophagyautophagosomeneurodegeneration;[SDV.BC]Life Sciences [q-bio]/Cellular BiologyAutophagy AutophagosomeNOstress vacuolestressautophagic processesstrerfluxLC3cancerguidelinesAutophagosome; cancer; flux; LC3; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuoleSettore BIO/06 - Anatomia Comparata E Citologia[SDV.BC] Life Sciences [q-bio]/Cellular BiologyComputingMilieux_MISCELLANEOUSMedaka oryzias latipesphagophorevacuoleQHneurodegenerationAutophagosome cancer flux LC3 lysosome macroautophagy neurodegeneration phagophore stress vacuoleautophagy; autophagic processes; guidelines; autophagosome; cancer; flux; LC3; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuolefluxmacroautophagystress.lysosomeAutophagosome; LC3; cancer; flux; lysosome; macroautophagy; neurodegeneration; phagophore; stress; vacuoleSettore BIO/17 - ISTOLOGIARC
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