戻る
「早戻しボタン」を押すと検索画面に戻ります。 [閉じる]

コーパス検索結果 (left1)

通し番号をクリックするとPubMedの該当ページを表示します
1                                                             Model discrimination and calibration were both evaluated.
2 st-effectiveness ratios (ICERs) and report the mean and 90% model variability of 250 runs, using a cost-effectiveness thr
3 ere, using the melanoma lineage survival oncogene MITF as a model, we show that low-affinity binding sites act as a compe
4 many violations of the principle of detailed balancing in a model proposed for the UV/chloramine process.
5                                                We propose a model where PICALM modulates glutamatergic transmission, toge
6                                                      Such a model could aid in the development of prebiotic, probiotic, o
7  explore the evolutionary divergence of diatoms, additional model species are emerging, such as Fragilariopsis cylindrus
8 so provide reference Application Programming Interfaces and model examples to catalyze further adoption.
9 BP), statistical-based iterative reconstruction (SBIR), and model-based iterative reconstruction (MBIR) in a retrospectiv
10 hus, ferrets represent an infection and transmission animal model of COVID-19 that may facilitate development of SARS-CoV
11                               Overall, the created benchtop model provides an initial platform for better characterizing
12   To this end, we used the well-characterized iSLK.219 cell model of KSHV infection and established a new infection model
13                                           This gene-centric model has shaped the field of cancer biology and advanced und
14 ent as a search process and use a mechanistic computational model that combines polarity protein biochemical interactions
15 and potential pitfalls, of the approach using a birth-death model with both synthetic and experimental data, and show tha
16 olecular modeling study, based on a receptor-driven docking model and including a systematic free energy perturbation (FE
17 we report the production of a high-grade spinal cord glioma model in pigs using lentiviral gene transfer.
18 mpares better to observational datasets than any individual model, we consider the here presented results to be the curre
19 ell model of KSHV infection and established a new infection model of primary lymphatic endothelial cells (LECs) infected
20  and experimental data, and show that we can robustly infer model parameters using a relatively small number of measureme
21                                                      One is model-free learning, i.e., simple reinforcement of rewarded a
22  simple reinforcement of rewarded actions, and the other is model-based learning, which considers the structure of the en
23                                        The machine learning model pretrained on Fourier spectrum features allows efficien
24                          We have trained a machine learning model to analyze the correlation between SARS-CoV-2 test resu
25    Values of choices, estimated by a reinforcement learning model, were regressed against BOLD signal.
26 tro, and is effective at lowering bacterial load in a mouse model of infection.
27 tLTP) in the chronic unpredictable mild stress (CUMS) mouse model of depression.
28 re, we investigated the role of PAG1 in a preclinical mouse model of house dust mite (HDM)-induced allergic sensitization
29 f OLT1177 diet can rescue synaptic plasticity in this mouse model of AD (P = 0.007 to untreated APP/PS1).
30 ditional features of ATI, we developed a final multivariate model with a highly significant relationship to UOC (Receiver
31 ictors of HH improvement were assessed in this multivariate model.
32                                                          My model assumes that an Hsp90-bound client can transition betwe
33 erize a nearly-incompressible transversely isotropic (NITI) model depicting corneal biomechanics.
34 fixed in space and it is equal to unity in a well-mixed ODE model.
35                                                      In our model, mice clustered in two groups displaying high or low cl
36                                                A predictive model was developed using density functional theory (DFT) to
37                                      Our proof of principle model successfully predicted the daily evolution of AD severi
38 tudies in a puromycin aminonucleoside (PAN) nephropathy rat model treated with amiloride, an inhibitor of plasminogen act
39                                     Here, we build a simple model of sexual reproduction and create a theoretical framewo
40 ssion method can be adopted by fitting all bins to a single model.
41   Furthermore, with CLASSED we developed a context-specific model of beta-adrenergic cardiac hypertrophy.
42 ed to any peptide-MHC complex of interest with a structural model as input, representing an important step toward compreh
43                                 More specifically, the Sync model uses bursts at theta frequency to flexibly bind appropr
44                                                         The model explains the trade-off among chemical design parameters
45                                                         The model predicts that, without immune escape, tumor neoantigens
46                                         More generally, the model yields physiologically realistic estimates of the direc
47 these data bring a new dimension to the nuclear theranostic model by showing a requirement for imaging to quantify, in si
48                                                        This model tested whether each person's depression and stress pred
49                                                          We model residual errors with a heavy-tailed Student's t-distrib
50 ficant but smaller than the direct effects, during the 14-y model simulation period.