نتایج جستجو برای: fr
تعداد نتایج: 11874 فیلتر نتایج به سال:
Because neuroendocrine mechanisms may contribute to the antiaging effects of food restriction (FR), we measured the effect of FR on mRNAs encoding anterior pituitary (AP) tropic hormones. Slot blots or RNase protection assays were done on AP RNA from 3-, 6-, 12-, 18- and 24-mo-old male F344 rats consuming food ad libitum (AL) or food restricted (FR; to 60% of AL food intake) from 6 wk. Both AL ...
Objectives The purpose of this study was to investigate the validity and reliability of Timed Up and Go (TUG) and Functional Reach (FR) tests in evaluating fall risk in the elderly. Methods & Materials 200 elderly were equally divided into falling or no falling history groups. The participants were community-dwelling adults aged 60 years and over in Tehran, Iran. All subjects performed T...
We present deep, multi-VLA-configuration radio images for a set of 18 quasars, having redshifts between 0.36 and 2.5, from the 7C quasar survey. Approximately one quarter of these quasars have FR I-type twin-jet structures and the remainder are a broad range of wide angle tail, fat double, classical double, core-jet and hybrid sources. These images demonstrate that FR I quasars are prevalent in...
A group of repetitive sequences, known as the Family of Repeats (FR), is a critical cis-acting sequence required for EBV latent infection. The FR sequences are heterogeneous among EBV strains, and they are sometimes subject to partial deletion when subcloned in E. coli-based cloning vectors. However, the FR stability in EBV-BAC (bacterial artificial chromosome) system has never been investigate...
PURPOSE To reduce image artifacts from the unnecessary use of driven- equilibrium. Driven-equilibrium methods known as fast recovery, RESTORE, or DRIVE enable reduction of repetition time (TR) and hence acquisition time in RARE (FSE or TSE) imaging by applying additional RF pulses following each echotrain to accelerate T1 recovery. Fast recovery (FR) techniques are most useful when TR is less t...
Forest fire disaster is currently the subject of intense research worldwide. The development accurate strategies to prevent potential impacts and minimize occurrence disastrous events as much possible requires modeling forecasting severe conditions. In this study, we developed five new hybrid machine learning algorithms namely, Frequency Ratio-Multilayer Perceptron (FR-MLP), Ratio-Logistic Regr...
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