ライフサイエンスコーパス: model with

1 e time course of pleasure, across stimuli, is well-fit by a model with one free parameter: pleasure amplitude.

2 coupled an optimality-based plant nitrogen (N) acquisition model with a microbe-focused soil organic matter (SOM) model.

3 Further, we couple the calibrated platelet aggregation model with a tissue-factor/contact pathway coagulation cascad

4 our novel profilin1 mutant mouse line may provide a new ALS model with the opportunity to gain unique perspectives into m

5 The latent class analysis model with the best fit to PASTURE data separated 4 phenotype

6 cial isolation has been established as a widely used animal model with translational relevance for neurodevelopmental psy

7 We base our method on an arbitrary-order Markov chain model with community structure, and develop a nonparametric B

8 Accordingly, the exciton chirality model with excitons localized on the arene scaffold, here gen

9 ta were analyzed using the validated two-tissue compartment model with arterial plasma input function with total volume o

10 time-activity curve using a reversible 2-tissue-compartment model with blood volume fraction.

11 ter the beginning of hypercapnia and a 1-tissue-compartment model with flow-dependent extraction correction.

12 exes with 1:n stoichiometry, and analyze the single-complex model with Markov chain theory.

13 We have established a Drosophila model with hyperactivated Wnt signaling caused by partial los

14 By combining a multispecies Gompertz model with a Bayesian state-space framework, we quantify comm

15 puts to posterior IT and compared the findings with an HMAX model with parallel pathways.

16 llow the energy-momentum dependence calculated by a Hubbard model with suitable finite-range interactions.

17 rt GFP into the rigid, ligand-binding head of the integrin, model with Rosetta the orientation of GFP and its transition

18 cope with uncertainty, we extended a reinforcement learning model with a belief state about the perceptually ambiguous st

19 gion-specific means were compared by using a general linear model with false discovery rate control for multiple comparis

20 On the basis of comparison of this MDFF model with an earlier-derived crystallographic model for the

21 Using a mouse model with a naturally occurring WS-linked gain-of-function C

22 ngth of combining QTL mapping and RNA-Seq data from a mouse model with association studies in human case-control samples

23 We used whole-genome bisulfite sequencing in a mouse model with nonrandom XCI to examine allele-specific DNA methy

24 docytes in the treatment of proteinuria, we created a mouse model with podocyte-specific deletion of the glucocorticoid r

25 , in megakaryocytes (MKs) and platelets, we created a mouse model with Vps34 deletion in the MK/platelet lineage (Pf4-Cre

26 role in disease pathogenesis, we generated a knock-in mouse model with NB disruption mediated by 2 point mutations (C62A/

27 Here, the authors generate a novel mouse model with titratable expression of DUX4, and show that it re

28 Our studies utilized the well-characterized Pax9(-/-) mouse model with a consistent cleft palate phenotype to test small-

29 als in mammalian tibial nerve axons using an in vitro mouse model with a dextran-conjugated fluorescent calcium indicator

30 in the native membranes, and is described by a multisquare model with Schiff base deprotonation at the lumirhodopsin I i

31 In a murine model with unilateral ureteric obstruction, pretreatment with

32 Mathematically integrating the mutation model with background selection model gives a more complete d

33 ASSO (wgLASSO) algorithm to integrate a data-driven network model with prior biological knowledge (i.e., protein-protein

34 We assess an improved trait-driven carbon optimality model with in situLL data for 105 species in two Panamanian f

35 We validate our model with high-speed experiments and present our results in

36 ssures with volume loading in both normal animals and a pig model with diastolic dysfunction.

37 canines with open (n=3) and closed chest (n=5) and in a pig model with features of human heart failure and preserved ejec

38 A prediction model with optimal performance included these factors plus ga

39 ION: We developed and validated a novel clinical prediction model with good discriminative performance to identify patien

40 and resuscitation-induced microvascular leakage using a rat model with intravital microscopic imaging.

41 We built a network rate model with excitatory (E) and inhibitory (I) populations exhi

42 sensitive ex vivo detection of endogenous CO in a realistic model with facile, inexpensive synthesis, and displays many a

43 We constructed a mixed-effects linear regression model with the individual physician as the random effect in t

44 ing the output of a well-established computational saliency model with the activation of neurons in the primate superior

45 Hence, we develop a flexible Bayesian variable selection model with efficient computational techniques for such integr

46 Similar model with V-wave change as a dichotomous variable showed tha

47 indings were used for the creation of a multistate survival model with 3 states (entry, EEG risk, and seizure).

48 However, above a local noise level of 20%, the model with nonspecific plasticity outperforms the standard, s

49 By running the model with the baseline [CO2 ] or the anticipated elevated [C

50 ameters of breast cancer were calculated by using the Tofts model with T1 values before and after B1 correction.