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  1. 2381
    “…Using a collection of empirical findings obtained from our analyses of longitudinal panel data from the German SOEP, experience sampling data from iSAHIB, and screenome data from the Stanford HSP, we illustrate how differences in individuals’ engagement with green spaces (earth), ambient air pollution (wind), and smartphones (fire) may contribute to differences in daily emotional well-being and developmental changes in life satisfaction. …”
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    INFLUENCE OF EARTH, WIND, AND FIRE ON WELL-BEING: THE CLASSIC CONCENTRIC CIRCLES MODEL OF CONTEXT IS ALSO FROM THE 1970S
  2. 2382
    “…Methods: We invited 36 patients with CAPD and 115 healthy volunteers to undergo the Stanford Hypnotic Susceptibility Scale: Form C (SHSS:C) and Parker Personality Measure (PERM). …”
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    Hypnotizability and Disordered Personality Styles in Cluster A Personality Disorders
  3. 2383
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    Governing nonconventional genetic experimentation
  4. 2384
    “…We also compared the impact of different word embeddings configurations for the CNN models: (1) Stanford GloVe embedding trained on billions of tweets in the general domain, (2) measles-specific embedding trained on our 1 million measles related tweets, and (3) a combination of the 2 embeddings. …”
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    Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models
  5. 2385
    “…HIV pol gene sequences were amplified from RNA extracted from plasma. The Stanford REGA program and jpHMM recombination prediction tool were used to determine genotypes. …”
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    Increase in HIV-1-transmitted drug resistance among ART-naïve youths at the China-Myanmar border during 2009 ~ 2017
  6. 2386
    “…HIV-1 subtypes were determined using the Stanford HIV Resistance Database and subsequently confirmed by phylogenetic analysis. …”
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    Prevalence of HIV-1 drug resistance in Eastern European and Central Asian countries
  7. 2387
    “…In 1 school, test positivity was increased in the student athlete group (Stanford University: 0.20% vs 0.05%; P < .001). Overall, there were 2425 positive tests (0.44%) among student athletes and 30 567 positive tests (0.88%) among nonathlete students, for a relative risk of 0.50 (95% CI, 0.48-0.52; P < .001). …”
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    Comparison of SARS-CoV-2 Test Positivity in NCAA Division I Student Athletes vs Nonathletes at 12 Institutions
  8. 2388
    Libro
    Desnudando a Google : la inquietante realidad que no quieren que conozcas
  9. 2389
    por Puglisi, Joseph D
    Publicado 2009
    “…Prominent lecturers and students from around the world representant a total of 24 countries participated in the NATO ASI organized by Professors Joseph Puglisi (Stanford University, USA) and Alexander Arseniev (Moscow, RU). …”
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    Biophysics and the Challenges of Emerging Threats
  10. 2390
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    Quantum optics for beginners
  11. 2391
    por Kusuoka, Shigeo, Yamazaki, Akira
    Publicado 2005
    “…Vienna), D. Duffie (Stanford Univ.), L.C. Evans (U.C. Berkeley), T. Fujimoto (Okayama Univ.), J.…”
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    Advances in mathematical economics
  12. 2392
    por Susskind, Leonard, Hrabovsky, George
    Publicado 2016
    “…Les ouvrages de la collection Le Minimum Théorique, qui donne aussi son nom à ce premier volume, sont issus d'un cours public donné à l'Université de Stanford par le professeur Leonard Susskind et ont aujourd'hui acquis une notoriété mondiale. …”
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    Le minimum théorique: tout ce que vous avez besoin de savoir pour commencer à faire de la physique
  13. 2393
    por Prestini, Elena
    Publicado 2016
    “…Everyone who uses instruments that are based on harmonic analysis will benefit from the clear verbal descriptions that are supplied." — R.N. Bracewell, Stanford University “The book under review is a unique and splendid telling of the triumphs of the fast Fourier transform. …”
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    The evolution of applied harmonic analysis: models of the real world
  14. 2394
    por Linde, Andrei D
    Publicado 2005
    “…I am using it in my lectures on inflationary cosmology at Stanford, supplementing it with the discussion of the subjects mentioned above. …”
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    Particle physics and inflationary cosmology
  15. 2395
    por Wang, Jiangfeng, Li, Yanhong, Gao, Jie
    Publicado 2023
    “…Using the Carnegie-Ames-Stanford Approach (CASA) ecosystem model based on remote sensing, we investigated the spatiotemporal changes in NPP across 1137 sites in China from 2001 to 2017. …”
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    Time Effects of Global Change on Forest Productivity in China from 2001 to 2017
  16. 2396
    “…METHOD: Two hundred Polish children with ADHD, aged 10 to 13, were tested using Conners 3, the PU1 Battery of Cognitive Tests and Stanford-Binet Intelligence Scale, Fifth Edition (SB5). …”
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    Family Functioning Style as a Predictor of the Quality of Cognitive Functioning of Primary School Students With ADHD
  17. 2397
    “…We utilize the recent discovery of stereotyped brain-wide directed signaling patterns in humans to investigate the relationship between directed rs-fMRI activity, MDD, and treatment response to FDA-approved neurostimulation paradigm termed Stanford neuromodulation therapy (SNT). We find that SNT over the left dorsolateral prefrontal cortex (DLPFC) induces directed signaling shifts in the left DLPFC and bilateral anterior cingulate cortex (ACC). …”
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    Targeted neurostimulation reverses a spatiotemporal biomarker of treatment-resistant depression
  18. 2398
    por Cinaglia, Pietro, Cannataro, Mario
    Publicado 2023
    “…The experimentation was conducted on the DisGeNET dataset, while the DiseaseGene Association Miner (DG-AssocMiner) dataset by Stanford’s BioSNAP was also processed for performance evaluation only.…”
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    Identifying Candidate Gene–Disease Associations via Graph Neural Networks
  19. 2399
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    The right to terminate pregnancy (abortion): reflections from Turkey
  20. 2400
    “…A web-based quiz is available for users to play a game distinguishing real and synthetic tiles: https://rna-gan.stanford.edu/, and the code for RNA-GAN is available here: https://github.com/gevaertlab/RNA-GAN.…”
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    Synthetic whole-slide image tile generation with gene expression profile-infused deep generative models
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