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301“…The functionality of the software includes setpoint control, data logging, and protocol execution. Auxiliary hardware can be easily integrated and controlled through an integrated plugin interface without altering existing software. …”
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302por Voskuil, JLA“…Antibodies can be found with Quality Control data obtained from previous batches that no longer represent the batch on sale. …”
Publicado 2014
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303“…RESULTS: Frequencies of genotypes in cases and controls can be estimated directly from retrospective case-control data. On the other hand, genetic susceptibility defined as the expected proportion of cases among individuals with a particular genotype depends on the population proportion of cases (prevalence). …”
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304“…We collected all published available case-control data (N=12) identified through PubMed, Web of Science, Scopus, and Chinese National Knowledge Infrastructure (CNKI) up to December 2014. …”
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305“…Here we use DNA methylation based biomarkers of aging (“epigenetic clock”) to assess the aging rate of blood in two ethnically distinct case-control data sets. Using n=508 Caucasian and n=84 Hispanic blood samples, we assess a) the intrinsic epigenetic age acceleration of blood (IEAA), which is independent of blood cell counts, and b) the extrinsic epigenetic age acceleration rate of blood (EEAA) which is associated with age dependent changes in blood cell counts. …”
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306Diffusion Modelling Reveals the Decision Making Processes Underlying Negative Judgement Bias in Rats“…To uncover the way in which parameters vary together in relation to affective state manipulations, independent component analysis was conducted on rate of information accumulation and distances to decision threshold parameters for control data. Results from this analysis were applied to parameters from negative affective state manipulations. …”
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307“…In an analysis of eight case-control data sets from the Wellcome Trust Case Control Consortium and more than a hundred mouse phenotypes, MKLMM-Adapt consistently outperforms competing methods in phenotype prediction. …”
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308“…Significant differences were observed between control data and scores obtained for study participants in all domains except that of sensory sensitivity. …”
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309“…It covers basic steps including quality control, data exploration and normalization, as well as more complex procedures such as cell cycle phase assignment, identification of highly variable and correlated genes, clustering into subpopulations and marker gene detection. …”
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310“…Infants were divided into two matched groups: case and control. Data-gathering tools were the questionnaire that contained two parts: the demographic characteristics of infants and the status of care and condition of the lesion. …”
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311por Montiel, Edgar Romo, Rivero-Angeles, Mario E., Rubino, Gerardo, Molina-Lozano, Heron, Menchaca-Mendez, Rolando, Menchaca-Mendez, Ricardo“…For the former, it is common to consider that sensor nodes in a clustered-based Wireless Sensor Network (WSN) use a fixed transmission probability to send control data in order to build the clusters. However, due to the highly variable conditions experienced by these networks, a fixed transmission probability may lead to extra energy consumption. …”
Publicado 2017
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312por Fernández, Daniel, Sram, Radim J., Dostal, Miroslav, Pastorkova, Anna, Gmuender, Hans, Choi, Hyunok“…Application of such approach in a case-control data set shows that SNP clustering may help to partly explain heterogeneity in children’s asthma susceptibility in relation to ambient B[a]P concentration with greater efficiency.…”
Publicado 2018
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313“…Pharmacokinetic and pharmacodynamic studies of rapid‐acting insulin analogues, together with postprandial glucose excursion data, suggest that administering these 15–20 min before food would provide optimal postprandial glucose control. Data from clinical studies involving people with Type 1 diabetes receiving structured meals and rapid‐acting insulin analogues support this, showing a reduction in post‐meal glucose levels of ~30% and less hypoglycaemia when meal insulin was taken 15–20 min before a meal compared with immediately before the meal. …”
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314por Wierig, Maren, Mandtler, Leonard P., Rottmann, Peter, Stroh, Viktor, Müller, Ute, Büscher, Wolfgang, Plümer, Lutz“…High correlations (r = 0.82–0.98) for cows as well as for control data set in human being (r = 0.98–0.99) were found. …”
Publicado 2018
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315por Yates, Mark, Watts, Jennifer J., Bail, Kasia, Mohebbi, Mohammadreza, MacDermott, Sean, Jebramek, Jessica C., Brodaty, Henry“…Using a stepped-wedge, continuous-recruitment method, the pre-intervention patient data will provide the control data for usual hospital care. The intervention, the Dementia Care in Hospitals Program, provides hospital-wide CI awareness and support education, and screening for all patients aged 65+, along with a bedside alert, the Cognitive Impairment Identifier. …”
Publicado 2018
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316“…On the other hand, control data sets led to performance values consistent with random guessing. …”
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317“…Compared to the conventional calibration method using high-accuracy control data, the difference between the two methods is only about 2.53 m, less than the 3-m resolution of the image, verifying the effectiveness of the proposed self-calibration method.…”
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318por Marlow, Neil, Ni, Yanyan, Beckmann, Joanne, O'Reilly, Helen, Johnson, Samantha, Wolke, Dieter, Morris, Joan K.“…Handedness was determined by direct observation during standardized testing at age 2.5, six, and 11 years and by self-report using the Edinburgh Handedness Inventory at 19 years. Control data from term births were included at six, 11, and 19 years. …”
Publicado 2019
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319“…OBJECTIVE: To validate a paper-and-pencil confrontation naming test (CNT) according to side of brain injury; to select a valid and reliable abbreviated CNT wherein the effect of demographic variables is minimized; and to use the selected CNT to develop a computer-aided confrontation-naming evaluation (CACNE). METHODS: Control data were obtained from 213 healthy participants (HP) aged 15 to 89 years. …”
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320“…On semantic category fluency, he showed a very clear category‐specific deficit performing better that control data on non‐living categories and significantly worse on living items. …”
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