ライフサイエンスコーパス: oracle

1 ion of the replisome of bacteriophage T7 (T7-ORACLE).

2 nt a promising approach for building such an oracle.

3 ceGenes' with a relational database based on Oracle.

4 according to a black-box property prediction oracle.

5 tions for some logical structures of Boolean oracles.

6 We present Stability Oracle: a structure-based graph-transformer framework th

7 wo methods of state marking are used for the oracles: a phase-flip method employed by other experimen

8 It is implemented in PHP, Oracle and Apache, with all major browsers supported.

9 The information is managed using Oracle and is available on the Web.

10 Our Oracle-based PEPR data warehouse includes a novel time s

11 hieves an alignment rate within 0.53% of the oracle best value of k found through brute force searchi

12 vely optimized with respect to the predictor oracle by gradient ascent.

13 Data were from Oracle Cerner RealWorld Data, a national electronic heal

14 The aim of the present study--the ORACLE Children Study I--was to determine the long-term

15 The aim of the present study--the ORACLE Children Study II--was to determine the long-term

16 t a Super SDM for GGOWs in Alaska running on Oracle Cloud Infrastructure (OCI).

17 Further, we show (under oracle conditions) that tree-sum models leverage disenta

18 This article describes the Oracle Database 10g implementation of BLAST and Regular

19 oduction server uses the Apache HTTP Server, Oracle Database and Perl application code.

20 and stored in an integrated fashion using an Oracle database.

21 tives has now been installed in a relational ORACLE database.

22 t-SNE plots or quantitatively with the Gene Oracle deep learning classifier.

23 We also show that the Phase oracles do not work sometimes correctly using the Grover

24 istoplasmosis cases from 2013 to 2023 within Oracle EHR Real-World Data, which comprises 1.6 billion

25 2015, to December 31, 2019, recorded in the Oracle Electronic Health Record Real-World Data database

26 By selectively querying an oracle for labels on uncertain or ambiguous samples, we

27 born to the 4148 women who had completed the ORACLE I trial and who were eligible for follow-up with

28 The ORACLE I trial compared the use of erythromycin and/or a

29 born to the 4221 women who had completed the ORACLE II study and who were eligible for follow-up with

30 The ORACLE II trial compared the use of erythromycin and/or

31 The oracles in these examples are constructed using differen

32 r earliest descriptions in the Shang Dynasty oracle inscriptions.

33 Moreover, the algorithm's oracle is designed to consist of only adder functions.

34 A controlled-diffusion operator for Boolean oracles is designed as a new approach for Grover's algor

35 mporal stochastic block models achieves near-oracle-level performance when combined with other single

36 It is implemented in the Oracle object-relational database system and is updated

37 t of an imitation learning problem, where an oracle or expert is employed for supervised training in

38 ports direct database connectivity to either Oracle or PostgreSQL database tables/views, on which SQL

39 Notably, Stability Oracle outperforms Prostata-IFML even though it was pret

40 nstall biological sequence databases into an Oracle RDBMS.

41 y searches for all solutions for all Boolean oracles regardless of their different logical structures

42 a consistent global schema, and stored in an Oracle relational database.

43 ons for arbitrary logical structures of such oracles, since the Grover diffusion operator is not able

44 Experiments with a parameter-value oracle suggest large gains in quality may be possible th

45 rmance of super-delta is close to that of an oracle test in which datasets without technical noise we

46 ments for 1164 single-ingredient drugs using Oracle Text search to extract MedDRA terms.

47 We demonstrate a digital Oracle that interprets chemical reactivity using probabi

48 Ideally, it would be possible to create an oracle that predicts sampling requirements for generaliz

49 version of Arima's algorithm, along with an oracle that represent the second Boolean function, is em

50 essarily relies on a set of score functions (oracles) that can combine different structural propertie

51 e that on many examples of Boolean and Phase oracles the Grover diffusion operator is not working cor

52 e model EMAC with the organic aerosol module ORACLE to predict the phase state of atmospheric SOA.

53 OMOP, dsOMOPClient, dsOMOPHelper, and dsOMOP.oracle.Usage vignettes for the client-side packages are

54 g an early adopter or fast follower, Epic vs Oracle users: 21.9 [95% CI, 16.3-27.4] percentage points

55 Our algorithm, Gene Oracle, uses a neural network to test user defined gene

56 virtualization environment such as VMware or Oracle VirtualBox.

57 both the positive and negative results, the Oracle was able to rediscover eight historically importa

58 with the PDZ-LIM domain protein ZASP/Cypher/Oracle, which also localizes to the Z-disc.

59 ods, which implicitly assume that humans are oracles willing to answer any question, our agent adapts

60 flection of Boolean decisions from a Boolean oracle without relying on the phase kickback.

61 ete, object-relational schema implemented in Oracle XML DB.