0000000000849070

AUTHOR

Jin Zhang

showing 13 related works from this author

Time-based Chern number in periodically driven systems in the adiabatic limit

2023

To define the topology of driven systems, recent works have proposed synthetic dimensions as a way to uncover the underlying parameter space of topological invariants. Using time as a synthetic dimension, together with a momentum dimension, gives access to a synthetic two-dimensional (2D) Chern number. It is, however, still unclear how the synthetic 2D Chern number is related to the Chern number that is defined from a parametric variable that evolves with time. Here we show that in periodically driven systems in the adiabatic limit, the synthetic 2D Chern number is a multiple of the Chern number defined from the parametric variable. The synthetic 2D Chern number can thus be engineered via h…

General Physics and AstronomyTDDFT Open boundary conditionsSettore FIS/03 - Fisica Della MateriaPhysical Review Research
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The Acts project: track reconstruction software for HL-LHC and beyond

2019

The reconstruction of trajectories of the charged particles in the tracking detectors of high energy physics experiments is one of the most difficult and complex tasks of event reconstruction at particle colliders. As pattern recognition algorithms exhibit combinatorial scaling to high track multiplicities, they become the largest contributor to the CPU consumption within event reconstruction, particularly at current and future hadron colliders such as the LHC, HL-LHC and FCC-hh. Current algorithms provide an extremely high standard of physics and computing performance and have been tested on billions of simulated and recorded data events. However, most algorithms were first written 20 year…

Multi-core processor010308 nuclear & particles physicsEvent (computing)track data analysisPhysicsQC1-999Complex event processing01 natural sciencesprogrammingComputing and ComputersComputer engineeringMultithreading0103 physical sciencesmultiprocessorCERN LHC Coll: upgradeProgramming paradigmThread safety[INFO]Computer Science [cs]data managementReference implementation010306 general physicsnumerical calculationsperformanceactivity reportEvent reconstruction
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Variable scale effects on hillslope soil erosion during rainfall-runoff processes

2021

Abstract The variation of soil erosion across scales remains a controversial issue. A theoretical framework, coupling the normalized Green-Ampt equation for infiltration, 1D kinematic wave model for overland flow, and WEPP erosion modeling approaches for soil erosion, was used to explain and quantify the direct effect of scale on the soil erosion process. The results show that the relation between interrill erosion and slope length accords with a power-law decreasing trend, while the relation of rill erosion versus slope length shows a power-law increasing trend. Moreover, the power-law scaling of interrill erosion becomes more prominent with an increase of rainfall duration and intensity b…

geographygeography.geographical_feature_categorySoil scienceSoil typeInterrill and rill erosionWEPPScalingUSLE/RUSLEKinematic waveRillInfiltration (hydrology)UpscalingErosionEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliWEPPSurface runoffSediment transportEarth-Surface ProcessesSlope length
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USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets

2019

Prostate cancer is the most common malignant tumors in men but prostate Magnetic Resonance Imaging (MRI) analysis remains challenging. Besides whole prostate gland segmentation, the capability to differentiate between the blurry boundary of the Central Gland (CG) and Peripheral Zone (PZ) can lead to differential diagnosis, since tumor's frequency and severity differ in these regions. To tackle the prostate zonal segmentation task, we propose a novel Convolutional Neural Network (CNN), called USE-Net, which incorporates Squeeze-and-Excitation (SE) blocks into U-Net. Especially, the SE blocks are added after every Encoder (Enc USE-Net) or Encoder-Decoder block (Enc-Dec USE-Net). This study ev…

FOS: Computer and information sciences0209 industrial biotechnologyComputer Science - Machine LearningGeneralizationComputer scienceComputer Vision and Pattern Recognition (cs.CV)Cognitive NeuroscienceComputer Science - Computer Vision and Pattern RecognitionConvolutional neural network02 engineering and technologyConvolutional neural networkMachine Learning (cs.LG)Image (mathematics)Prostate cancer020901 industrial engineering & automationArtificial IntelligenceProstate0202 electrical engineering electronic engineering information engineeringmedicineMedical imagingAnatomical MRISegmentationBlock (data storage)Prostate cancermedicine.diagnostic_testSettore INF/01 - Informaticabusiness.industryAnatomical MRI; Convolutional neural networks; Cross-dataset generalization; Prostate cancer; Prostate zonal segmentation; USE-NetINF/01 - INFORMATICAMagnetic resonance imagingPattern recognitionUSE-Netmedicine.diseaseComputer Science Applicationsmedicine.anatomical_structureCross-dataset generalizationFeature (computer vision)Prostate zonal segmentation020201 artificial intelligence & image processingConvolutional neural networksArtificial intelligencebusinessEncoder
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Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample

2022

The study of moral judgements often centres on moral dilemmas in which options consistent with deontological perspectives (that is, emphasizing rules, individual rights and duties) are in conflict with options consistent with utilitarian judgements (that is, following the greater good based on consequences). Greene et al. (2009) showed that psychological and situational factors (for example, the intent of the agent or the presence of physical contact between the agent and the victim) can play an important role in moral dilemma judgements (for example, the trolley problem). Our knowledge is limited concerning both the universality of these effects outside the United States and the impact of …

trolleySituational factorsSDG 16 - PeaceSocial PsychologyIndividualityBFExperimental and Cognitive PsychologyIntentionEasternHMpsychologyMoralsSocial Developmenttrolley dilemmaBehavioral NeuroscienceJudgmentddc:150replicabilitycultural universalityHumansPsychologyPendienteSHAMECONFLICTBehaviour Change and Well-beingphilosophySDG 16 - Peace Justice and Strong Institutionsmoral judgementSDG 10 - Reduced Inequalities/dk/atira/pure/sustainabledevelopmentgoals/peace_justice_and_strong_institutionsJustice and Strong InstitutionsMODELNORMSKnowledgePROCESS DISSOCIATION/dk/atira/pure/sustainabledevelopmentgoals/reduced_inequalitiesmoral judgementsUTILITARIAN JUDGMENTSSettore M-PSI/05 - Psicologia SocialeMoral judgments ; Trolley dilemma ; cultural universality and variations ; replication studyRESPONSES
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IMI – Oral biopharmaceutics tools project – Evaluation of bottom-up PBPK prediction success part 4: Prediction accuracy and software comparisons with…

2020

Oral drug absorption is a complex process depending on many factors, including the physicochemical properties of the drug, formulation characteristics and their interplay with gastrointestinal physiology and biology. Physiological-based pharmacokinetic (PBPK) models integrate all available information on gastro-intestinal system with drug and formulation data to predict oral drug absorption. The latter together with in vitro-in vivo extrapolation and other preclinical data on drug disposition can be used to predict plasma concentration-time profiles in silico. Despite recent successes of PBPK in many areas of drug development, an improvement in their utility for evaluating oral absorption i…

Data AnalysisPhysiologically based pharmacokinetic modellingDatabases FactualAdministration OralPharmaceutical Science02 engineering and technologyMachine learningcomputer.software_genreModels Biological030226 pharmacology & pharmacyBiopharmaceuticsPharmaceutical Sciences03 medical and health sciences0302 clinical medicineSoftwarePharmacokineticsHumansClinical Trials as Topicbusiness.industryCompound specificBiopharmaceuticsGeneral MedicineFarmaceutiska vetenskaper021001 nanoscience & nanotechnologyBioavailabilityIntestinal AbsorptionPharmaceutical PreparationsDrug developmentPerformance indicatorArtificial intelligence0210 nano-technologybusinesscomputerSoftwareForecastingBiotechnologyEuropean Journal of Pharmaceutics and Biopharmaceutics
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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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CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study

2020

Prostate cancer is the most common cancer among US men. However, prostate imaging is still challenging despite the advances in multi-parametric magnetic resonance imaging (MRI), which provides both morphologic and functional information pertaining to the pathological regions. Along with whole prostate gland segmentation, distinguishing between the central gland (CG) and peripheral zone (PZ) can guide toward differential diagnosis, since the frequency and severity of tumors differ in these regions; however, their boundary is often weak and fuzzy. This work presents a preliminary study on deep learning to automatically delineate the CG and PZ, aiming at evaluating the generalization ability o…

Urologic DiseasesComputer scienceContext (language use)32 Biomedical and Clinical Sciences-Convolutional neural networkDeep convolutional neural networks Prostate zonal segmentation Cross-dataset generalizationProstate cancer46 Information and Computing SciencesProstateDeep convolutional neural networksmedicineAnatomical MRISegmentationProstate zonal segmentation; Prostate cancer; Anatomical MRI; Deep convolutional neural networks; Cross-dataset generalization;3202 Clinical SciencesCancerSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniProstate cancerSettore INF/01 - Informaticamedicine.diagnostic_testbusiness.industryDeep learningINF/01 - INFORMATICAMagnetic resonance imagingPattern recognitionmedicine.disease3211 Oncology and Carcinogenesismedicine.anatomical_structureCross-dataset generalizationProstate zonal segmentationBiomedical ImagingArtificial intelligenceDeep convolutional neural networkbusinessT2 weightedAnatomical MRI; Cross-dataset generalization; Deep convolutional neural networks; Prostate cancer; Prostate zonal segmentation
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A 2,3-dialkoxynaphthalene-based naphthocage

2019

A 2,3-dialkoxynaphthalene-based naphthocage has been synthesized. This naphthocage prefers to bind small organic cations with its low-symmetry conformation, which is in contrast to 2,6-dialkoxynaphthalene-based naphthocages. Self-sorting of these two naphthocages with two structurally similar guests tetramethylammonium and tetraethylammonium was achieved as well. peerReviewed

TetramethylammoniumTetraethylammoniumMetals and AlloyskationitGeneral ChemistryContrast (music)Medicinal chemistryCatalysisSurfaces Coatings and FilmsElectronic Optical and Magnetic Materialschemistry.chemical_compoundchemistryMaterials ChemistryCeramics and Compositessupramolekulaarinen kemia
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Proprotein convertase 5/6 is critical for embryo implantation in women: regulating receptivity by cleaving ebp50, modulating ezrin binding, and membr…

2011

Establishment of endometrial receptivity is vital for successful embryo implantation; its failure causes infertility. Epithelial receptivity acquisition involves dramatic structural changes in the plasma membrane and cytoskeleton. Proprotein convertase 5/6 (PC6), a serine protease of the proprotein convertase (PC) family, is up-regulated in the human endometrium specifically at the time of epithelial receptivity and stromal cell decidualization. PC6 is the only PC member tightly regulated in this manner. The current study addressed the importance and mechanisms of PC6 action in regulating receptivity in women. PC6 was dysregulated in the endometrial epithelium during the window of implantat…

Scaffold proteinmedicine.medical_specialtySodium-Hydrogen ExchangersPlasma protein bindingBiologyEndometriumMiceEndocrinologyEzrinInternal medicinemedicineAnimalsHumansEmbryo ImplantationCytoskeletonCytoskeletonCellular localizationBinding proteinDecidualizationEpithelial CellsPhosphoproteinsProprotein convertaseCytoskeletal ProteinsEndocrinologyProprotein Convertase 5FemaleProtein Binding
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Probing phonon dynamics with multidimensional high harmonic carrier-envelope-phase spectroscopy

2022

We explore pump-probe high harmonic generation (HHG) from monolayer hexagonal-Boron-Nitride, where a terahertz pump excites coherent optical phonons that are subsequently probed by an intense infrared pulse that drives HHG. We find, through state-of-the-art ab-initio calculations, that the structure of the emission spectrum is attenuated by the presence of coherent phonons, and is no longer comprised of discrete harmonic orders, but rather of a continuous emission in the plateau region. The HHG yield strongly oscillates as a function of the pump-probe delay, corresponding to ultrafast changes in the lattice such as bond compression or stretching. We further show that in the regime where the…

Condensed Matter - Materials ScienceMultidisciplinarynonlinear opticsphononsMaterials Science (cond-mat.mtrl-sci)FOS: Physical sciencesPhysics::OpticsElectron-phonon couplingSettore FIS/03 - Fisica Della Materiaultrafast spectroscopypump-robe spectroscopyPhysics::Atomic and Molecular ClustersHHGOptics (physics.optics)Physics - Optics
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CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study

2019

Prostate cancer is the most common cancer among US men. However, prostate imaging is still challenging despite the advances in multi-parametric Magnetic Resonance Imaging (MRI), which provides both morphologic and functional information pertaining to the pathological regions. Along with whole prostate gland segmentation, distinguishing between the Central Gland (CG) and Peripheral Zone (PZ) can guide towards differential diagnosis, since the frequency and severity of tumors differ in these regions; however, their boundary is often weak and fuzzy. This work presents a preliminary study on Deep Learning to automatically delineate the CG and PZ, aiming at evaluating the generalization ability …

FOS: Computer and information sciencesArtificial Intelligence (cs.AI)Computer Science - Artificial IntelligenceComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern Recognition
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CCDC 1971100: Experimental Crystal Structure Determination

2019

Related Article: Song-Bo Lu, Hongxin Chai, Jas S. Ward, Mao Quan, Jin Zhang, Kari Rissanen, Ray Luo, Liu-Pan Yang, Wei Jiang|2020|Chem.Commun.|56|888|doi:10.1039/C9CC09585C

Space GroupCrystallographyCrystal SystemCrystal StructureCell Parameterstetraethylammonium 21921385558-hexaethyl-535456575960-hexapropoxy-51624354051-hexaoxadecacyclo[18.18.14.2714.22633.24249.1337.11822.0813.02732.04348]hexaconta-13(55)7(60)8(13)91114(59)18(58)192126(57)27293133(56)3742(54)43454749(53)-henicosaene hexafluorophosphate unknown solvateExperimental 3D Coordinates
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