Mostrando 384,441 - 384,460 Resultados de 385,034 Para Buscar '"subjectivity"', tiempo de consulta: 1.69s Limitar resultados
  1. 384441
  2. 384442
  3. 384443
    “…A series of mixed between-within subjects ANOVA were conducted to examine the mean differences in study outcomes between and within groups. …”
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  4. 384444
    “…We aimed to assess plasma homo sapiens—(hsa)-miR-21-5p, hsa-miR-155-5p, hsa-miR-192-5p, and hsa-miR-199a-5p—expression levels as a panel of biomarkers for HCC in chronic hepatitis C virus (CHCV) patients with liver cirrhosis (LC), especially AFP-negative HCC cases, as a step toward non-protein coding (nc) RNA precision medicine. Subjects and methods: 79 patients enrolled with CHCV infection with LC, subclassified into an LC group without HCC (n = 40) and LC with HCC (n = 39). …”
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  5. 384445
  6. 384446
  7. 384447
  8. 384448
    por Alexeev, M.G., Alexeev, G.D., Amoroso, A., Andrieux, V., Anosov, V., Augsten, K., Augustyniak, W., Azevedo, C.D.R., Badelek, B., Balestra, F., Ball, M., Barth, J., Beck, R., Bedfer, Y., Antequera, J. Berenguer, Bernhard, J., Bodlak, M., Bradamante, F., Bressan, A., Burtsev, V.E., Chang, W.-C., Chatterjee, C., Chiosso, M., Chumakov, A.G., Chung, S.-U., Cicuttin, A., Correia, P.M.M., Crespo, M.L., D'Ago, D., Torre, S. Dalla, Dasgupta, S.S., Dasgupta, S., Denisenko, I., Denisov, O.Yu., Donskov, S.V., Doshita, N., Dreisbach, Ch., Duennweber, W., Dusaev, R.R., Efremov, A., Eremeev, D., Eversheim, P.D., Faccioli, P., Faessler, M., Finger, M., Fischer, H., Floethner, K., Franco, C., Friedrich, J.M., Frolov, V., Ordonez, L.G. Garcia, Gautheron, F., Gavrichtchouk, O.P., Gerassimov, S., Giarra, J., Giordano, D., Gorzellik, M., Grasso, A., Gridin, A., Perdekamp, M. Grosse, Grube, B., Grüner, M., Guskov, A., Haas, F., von Harrach, D., Hoffmann, M., Heitz, R., Horikawa, N., d'Hose, N., Hsieh, C.-Y., Huber, S., Ishimoto, S., Ivanov, A., Iwata, T., Jandek, M., Jary, T., Jary, V., Joosten, R., Kabuss, E., Kaspar, F., Kerbizi, A., Ketzer, B., Khaustov, G.V., Khokhlov, Yu.A., Kisselev, Yu., Klein, F., Koivuniemi, J.H., Kolosov, V.N., Konorov, I., Konstantinov, V.F., Kotzinian, A.M., Kouznetsov, O.M., Koval, A., Kral, Z., Krinner, F., Kulinich, Y., Kunne, F., Kurek, K., Kurjata, R.P., Kveton, A., Lavickova, K., Levorato, S., Lian, Y.-S., Lichtenstadt, J., Lin, P.-J., Longo, R., Lyubovitskij, V.E., Maggiora, A., Magnon, A., Makins, N., Makke, N., Mallot, G.K., Maltsev, A., Mamon, S.A., Marianski, B., Martin, A., Marzec, J., Matousek, J., Matsuda, T., Mattson, G., Metzger, F., Meyer, M., Meyer, W., Mikhailov, Yu.V., Mikhasenko, M., Mitrofanov, E., Miyachi, Y., Moretti, A., Nagaytsev, A., Naim, C., Neyret, D., Novy, J., Nowak, W.-D., Nukazuka, G., Olshevsky, A.G., Ostrick, M., Panzieri, D., Parsamyan, B., Paul, S., Pekeler, H., Peng, J.-C., Pesek, M., Peshekhonov, D.V., Peskova, M., Pierre, N., Platchkov, S., Pochodzalla, J., Polyakov, V.A., Pretz, J., Quaresma, M., Quintans, C., Reicherz, G., Riedl, C., Rudnicki, T., Ryabchikov, D.I., Rymbekova, A., Rychter, A., Samoylenko, V.D., Sandacz, A., Sarkar, S., Savin, I.A., Sbrizzai, G., Schmeing, S., Schmieden, H., Selyunin, A., Sharko, K., Sinha, L., Slunecka, M., Spülbeck, D., Srnka, A., Steffen, D., Stolarski, M., Subrt, O., Sulc, M., Suzuki, H., Tessaro, S., Tessarotto, F., Thiel, A., Tomsa, J., Tosello, F., Townsend, A., Tskhay, V., Triloki, T., Uhl, S., Valinoti, B., Vauth, A., Veit, B.M., Veloso, J., Ventura, B., Vidon, A., Virius, M., Wagner, M., Wallner, S., Zaremba, K., Zavertyaev, M., Zemko, M., Zemlyanichkina, E., Zhao, Y., Ziembicki, M.
    Publicado 2021
    “…We study the nonresonant contributions to the <math display="inline"><msup><mi>π</mi><mo>-</mo></msup><msup><mi>π</mi><mo>-</mo></msup><msup><mi>π</mi><mo>+</mo></msup></math> final state using pseudodata generated on the basis of a Deck model. Subjecting pseudodata and real data to the same partial-wave analysis, we find good agreement concerning the spectral shape and its dependence on the squared four-momentum transfer for the <math display="inline"><msup><mi>J</mi><mrow><mi>P</mi><mi>C</mi></mrow></msup><mo>=</mo><msup><mn>1</mn><mrow><mo>-</mo><mo>+</mo></mrow></msup></math> amplitude and also for amplitudes with other <math display="inline"><msup><mi>J</mi><mrow><mi>P</mi><mi>C</mi></mrow></msup></math> quantum numbers. …”
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  9. 384449
  10. 384450
    “…METHODS: We selected subjects in the MaSTER cohort (an Italian multicenter, hospital-based cohort established in the mid-1990s that currently has enrolled over 24,000 PLWH) who initiated an INSTI-based regimen either when naïve or following a regimen switch. …”
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  11. 384451
    “…RESULTS: Twenty-seven (27) studies, including 2891 subjects were included in our study. Meta-analysis results showed that the pooled sensitivities of (18) F-PSMA-1007 PET/CT, (18) F-FDG PET/CT, and (68)Ga-PSMA PET/CT were 0.912 (95%CI: 0.883–0.936), 0.748 (95%CI: 0.698–0.795), and 0.916 (95%CI: 0.896–0.934), respectively; the pooled specification were 0.878 (0.844–0.907), 0.639 (95%CI: 0.589–0.687), and 0.734 (95%CI: 0.685–0.779), respectively; the positive likelihood ratios were 6.335 (95%CI: 4.288–9.357), 2.282 (95%CI: 1.497–3.477), and 3.593 (95%CI: 2.986–4.323), respectively; the negative likelihood ratios were 0.878 (95%CI: 0.844–0.907), 0.374 (95%CI: 0.280–0.499), and 0.110 (95%CI: 0.083–0.144), respectively; the diagnostic odds ratios were 65.125 (95%CI: 34.059–124.53), 7.094 (95%CI: 4.091–12.301), and 29.722 (95%CI: 20.141–43.863), respectively; the positive posterior probability was 64%, 38%, and 62%, respectively; the area under the SPOC curve was 0.95 (95%CI: 0.93–0.97), 0.81 (95%CI: 0.78–0.84), and 0.96 (95%CI: 0.92–0.98), respectively. …”
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  12. 384452
  13. 384453
    Publicado 2023
    “…METHODS: We covered, in the study, 339 subjects, including 114 otherwise healthy controls (HC), 74 type 2 diabetes mellitus (DM) patients with no glomerular filtration dysfunction, and 151 DKD patients. …”
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  14. 384454
    “…In this study, we aimed to investigate the potential gender-specific determinants of overweight and obesity among older adults in India. SUBJECTS AND METHODS: The present study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017–18). …”
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  15. 384455
  16. 384456
  17. 384457
    “…In USA and Europe it is estimated a prevalence of 60 million affected subjects, 75% of whom are in developmental age. A significant number of newborns are admitted in the Neonatal Intensive Care Units (NICU) for reasons different from prematurity, although the prevalence of those with genetic diseases is unknown. …”
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  18. 384458
    “…Demographics, COVID-19 diagnosis, received health care (from medical professionals or allied health care professionals), fatigue (Checklist Individual Strength–subscale subjective fatigue [CIS-Fatigue]; 8-56 points), and physical and mental fatigue (self-constructed questions; 3-21 points) were assessed. …”
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  19. 384459
    “…METHODS: Based on our earlier studies, active fractions including chloroform and ethyl acetate were subjected to column chromatography for isolation of compounds. …”
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  20. 384460
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