Most cited papers
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Effects of Maternal Marijuana and Cocaine Use on Fetal Growth
Zuckerman, B., Frank, D. A., Hingson, R., Amaro, H., Levenson, S. M., Kayne, H., Parker, S., Vinci, R., Aboagye, K., Fried, L. E., et al. (1989) · New England Journal of Medicine
Prenatal Substance Exposure EffectsPregnancy and Medication Impact
Cited by 852
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Hydrogen bond network connectivity in the electric double layer dominates the kinetic pH effect in hydrogen electrocatalysis on Pt
Li, P., Jiang, Y., Hu, Y., Men, Y., Liu, Y., Cai, W., & Chen, S. (2022) · Nature Catalysis
Electrocatalysts for Energy ConversionFuel Cells and Related Materials
Cited by 852
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NADPH oxidase-4 mediates myofibroblast activation and fibrogenic responses to lung injury
Hecker, L., Vittal, R., Jones, T., Jagirdar, R., Luckhardt, T. R., Horowitz, J. C., Pennathur, S., Martinez, F. J., & Thannickal, V. J. (2009) · Nature Medicine
Interstitial Lung Diseases and Idiopathic Pulmonary FibrosisRedox biology and oxidative stress
Cited by 852
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A de novo paradigm for mental retardation.
Vissers, L. E. L. M., de Ligt, J., Gilissen, C., Janssen, I., Steehouwer, M., de Vries, P., van Lier, B., Arts, P., Wieskamp, N., del Rosario, M., et al. (2010) · Nature Genetics
Genomics and Rare DiseasesGenetics and Neurodevelopmental Disorders
Cited by 852
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A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour
Bond, M., Khosravi, H., De Laat, M., Bergdahl, N., Negrea, V., Oxley, E., Pham, P., Chong, S. W., & Siemens, G. (2024) · International Journal of Educational Technology in Higher Education
Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning
Cited by 852
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Reduced Amygdala Response to Fearful Expressions in Children and Adolescents With Callous-Unemotional Traits and Disruptive Behavior Disorders
Marsh, A. A., Finger, E. C., Mitchell, D. G. V., Reid, M. E., Sims, C., Kosson, D. S., Towbin, K. E., Leibenluft, E., Pine, D. S., & Blair, R. J. R. (2008) · American Journal of Psychiatry
Psychopathy, Forensic Psychiatry, Sexual OffendingChild and Adolescent Psychosocial and Emotional Development
Cited by 852
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SIRT1 redistribution on chromatin promotes genomic stability but alters gene expression during aging
Oberdoerffer, P., Michan, S., McVay, M., Mostoslavsky, R., Vann, J., Park, S.-K., Hartlerode, A., Stegmuller, J., Hafner, A., Loerch, P., et al. (2008) · Cell
Sirtuins and Resveratrol in MedicineGenetics, Aging, and Longevity in Model Organisms
Cited by 852
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Causes of decreased photosynthetic rate and metabolic capacity in water-deficient leaf cells: a critical evaluation of mechanisms and integration of processes
Lawlor, D. W., & Tezara, W. (2009) · Annals of Botany
Photosynthetic Processes and MechanismsPlant Water Relations and Carbon Dynamics
Cited by 852
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Efficient Lifelong Learning with A-GEM
Chaudhry, A., Ranzato, M., Rohrbach, M., & Elhoseiny, M. (2018) · arXiv
Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms
Cited by 852
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Favipiravir versus Arbidol for COVID-19: A Randomized Clinical Trial
Chen, C., Zhang, Y., Huang, J., Yin, P., Cheng, Z., Wu, J., Chen, S., Zhang, Y., Chen, B., Lu, M., et al. (2020) · Frontiers in Pharmacology
COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research
Cited by 852
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Extending the two-stage information systems continuance model: incorporating UTAUT predictors and the role of context: Context, expectations and IS continuance
Venkatesh, V., Thong, J. Y. L., Chan, F. K. Y., Hu, P. J.-H., & Brown, S. A. (2011) · Information Systems Journal
Technology Adoption and User BehaviourE-Government and Public Services
Cited by 852
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Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
Collins, G. S., Dhiman, P., Andaur Navarro, C. L., Ma, J., Hooft, L., Reitsma, J. B., Logullo, P., Beam, A. L., Peng, L., Van Calster, B., et al. (2021) · BMJ Open
Meta-analysis and systematic reviewsStatistical Methods in Epidemiology
Cited by 852
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Fringe is a glycosyltransferase that modifies Notch
Moloney, D. J., Panin, V. M., Johnston, S. H., Chen, J., Shao, L., Wilson, R., Wang, Y., Stanley, P., Irvine, K. D., Haltiwanger, R. S., et al. (2000) · Nature
Glycosylation and Glycoproteins ResearchDevelopmental Biology and Gene Regulation
Cited by 852
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Influences of Individual and Situational Characteristics on Measures of Training Effectiveness
Mathieu, J. E., Tannenbaum, S. I., & Salas, E. (1992) · Academy of Management Journal
Human Resource Development and Performance EvaluationEmployee Performance and Management
Cited by 852
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ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
Salem, A., Zhang, Y., Humbert, M., Berrang, P., Fritz, M., & Backes, M. (2019) · Proceedings 2019 Network and Distributed System Security Symposium
Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data
Cited by 852
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Expression of indoleamine 2,3-dioxygenase by plasmacytoid dendritic cells in tumor-draining lymph nodes
Munn, D. H., Sharma, M. D., Hou, D., Baban, B., Lee, J. R., Antonia, S. J., Messina, J. L., Chandler, P., Koni, P. A., & Mellor, A. L. (2004) · Journal of Clinical Investigation
Immunotherapy and Immune ResponsesT-cell and B-cell Immunology
Cited by 852
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Global Value Chains Meet Innovation Systems: Are There Learning Opportunities for Developing Countries?
Pietrobelli, C., & Rabellotti, R. (2011) · World Development
Global trade, sustainability, and social impactGlobal trade and economics
Cited by 852
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Calculation of effective interaction potentials from radial distribution functions: A reverse Monte Carlo approach
Lyubartsev, A. P., & Laaksonen, A. (1995) · Physical Review E
Advanced Physical and Chemical Molecular InteractionsElectrostatics and Colloid Interactions
Cited by 852
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Multi-Task Learning as Multi-Objective Optimization
Sener, O., & Koltun, V. (2018) · arXiv
Advanced Multi-Objective Optimization AlgorithmsAdvanced Neural Network Applications
Cited by 852
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Histones: annotating chromatin
Campos, E. I., & Reinberg, D. (2009) · Annual Review of Genetics
Genomics and Chromatin DynamicsEpigenetics and DNA Methylation
Cited by 852
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Tailoring electrolyte solvation for Li metal batteries cycled at ultra-low temperature
Holoubek, J., Liu, H., Wu, Z., Yin, Y., Xing, X., Cai, G., Yu, S., Zhou, H., Pascal, T. A., Chen, Z., et al. (2021) · Nature Energy
Advanced Battery Materials and TechnologiesAdvancements in Battery Materials
Cited by 851
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Strength and hypertrophy adaptations between low- vs. high-load resistance training: a systematic review and meta-analysis.
Schoenfeld, B. J., Grgic, J., Ogborn, D., & Krieger, J. W. (2017) · Journal of Strength and Conditioning Research
Sports Performance and TrainingCardiovascular and exercise physiology
Cited by 851
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The microbiome of uncontacted Amerindians
Clemente, J. C., Pehrsson, E. C., Blaser, M. J., Sandhu, K., Gao, Z., Wang, B., Magris, M., Hidalgo, G., Contreras, M., Noya-Alarcón, Ó., et al. (2015) · Science Advances
Gut microbiota and healthAntibiotic Resistance in Bacteria
Cited by 851
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Contextual determinants of TGFβ action in development, immunity and cancer
David, C. J., & Massagué, J. (2018) · Nature Reviews Molecular Cell Biology
TGF-β signaling in diseasesDevelopmental Biology and Gene Regulation
Cited by 851
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