353) Data that lead to nursing diagnoses in the |
354) olic dyshomeostasis, and proof of concept data that highlight the importance of cons |
355) e question that arises is whether in SCED data that show trend, there is indetermina |
356) These clinical data will be useful to inform mechanistic |
357) Furthermore, this data will guide the list of immunological |
358) netic NDD, and collection of longitudinal data will increase understanding of progno |
359) , this review has identified a paucity of data about the dietary intake of women wit |
360) There is quantitative data about the mental health of children a |
361) cial to summarize the current preliminary data available in order to help fill this |
362) will discuss the preclinical and clinical data available on the distinct metabolic d |
363) ine, PsychINFO, Emcare, CINAHL and Scopus data bases for the period January 1992-May |
364) We searched 14 data bases from 1990 to 2019 for all origi |
365) inclusion criteria and were analyzed for data charting. |
366) nalytical-synthetic approach was used for data charting. |
367) ed a resolution of 1.65 Å within 8-h of data collection, a condition optimal for a |
368) Few studies undertook original data collection, and SDMs were mostly buil |
369) These data confirm that consuming strawberries f |
370) High coverage sequencing data confirm that the two substrains are n |
371) Neither type of data could alone answer our questions on b |
372) Incorporating historical control data could lead to more efficient trials, |
373) dinal neuronal differentiation trajectory data demonstrated that AD iNs reflect a hy |
374) ray ionization mass spectrometry (ESI-MS) data demonstrated that a second-sphere sub |
375) Data extracted were entered into a Microso |
376) ed by a pair of independent reviewers and data extracted from eligible studies. |
377) us to develop an algorithm to predict the data generating model called the Loadings |
378) ivity and specificity when predicting the data generating model. |
379) The data highlight education, community and cl |
380) Together these data highlight that each cell type within |
381) ndings show 1) incorporating longitudinal data improves prediction of late-AMD for c |
382) thesizes that 1) incorporating historical data improves predictive strength of devel |
383) ment of psychiatric diseases, the present data may also contribute to the proposal o |
384) Routinely collected meteorological data may offer an effective means of makin |
385) Data obtained were analyzed based on level |
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