131,253 research outputs found
fard
No full textfard1. Go afard and haul up the grapel. 2. Fard is forward.YesJ. D. A. WIDDOWSON COLLECTOR'S PERMANENT FILE(84)Not usedNot usedWithdraw
Fard
No full textFard1. Put the gear fard in the boat. 2. This means: (1) the front part of a boat. (2) the foreheadYesDNE-citJ. D. A. WIDDOWSON COLLECTOR'S PERMANENT FILENot usedNot usedWithdrawnstamped but not use
FARD: Accelerating Distributed Fog Computing Workloads through Embedded FPGAs
No full textIn the last few years Internet of Things (ioT) applications are moving from the cloud-sensor paradigm to a more variegated structure where IoT nodes Interact with an Intermediate fog computing layer. To enable compute-intensive tasks to be executed near the source of the data, fog computing nodes should provide enough performance and be sufficiently energy efficient to run on the field. Within this context, embedded Field Programmable Gate Array (FPGA) can be used to Improve the performance per Watt ratio of fog computing nodes. In this paper we present Fog Acceleration through Reconigurable Devices (FARD), a distributed system that exploits FPGAs to accelerate compute-intensive tasks In fog computing applications. FARD Is able to efficiently run distributed fog applications thanks to a well-defined application structure, a per-application Isolated network overlay and thanks to the acceleration of tasks. Results show energy efficiency Improvements while efficiently enabling cooperation across fog nodes
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
<i>fard-1</i> RNAi Treatments Results in Compromised Ether-Linked Lipid Abundance.
No full text(A) Developmental RNAi-treatment was initiated at the L1 stage and continued until animals were harvested for analysis at day 3 of adulthood, resulting in 4 days of RNAi feeding at 25°C (blue). The second RNAi-treatment described is an adult-only fard-1 RNAi strategy (yellow) where RNAi is started after the completion of development at day 1 of adulthood (44 hours post-hatch). Animals were harvested at day 3 for both treatments. (B) qRT-PCR of fard-1 expression is reduced to 0.34 ± 0.18 and 0.40 ± 0.17 of wild-type levels with developmental RNAi and adult-only RNAi treatment, respectively. The cdc-42 housekeeping gene was used for normalization. (C) When fard-1 RNAi is initiated at the L1 stage and continued throughout development until day 3 of adulthood (blue), there is a significant reduction in the relative abundance of both O-PE and P-PE compared to control L4440 RNAi (black). (D) The overall composition of PE was compared in control RNAi- (grey) and fard-1 RNAi-treated animals (light blue) after binning the lipids by the overall degree of unsaturation found in the associated fatty acids. Similarly, PC species were measured in RNAi controls (black) and fard-1 RNAi-treated animals (dark blue). (E) fard-1 RNAi initiated in adult animals at day 1 and maintained until day 3 of adulthood (yellow) resulted in a significant decrease in O-PE as quantified by HPLC-MS/MS. There is a small but not significant decrease in the P-PE population (p-Value of 0.11). (F) The impact of adult-only fard-1 RNAi treatment on the PE and PC populations showed no significant changes in the degree of unsaturation in PE (yellow) or PC (orange) compared to L4440 RNAi shown in grey for PE and black for PC. Data was generated from at least 3 independent biological replicates with SEM shown. See S1 and S2 Datasets for complete list of phospholipid species. *p<0.05 was determined by unpaired t-tests using Holm-Sidak corrections for multiple comparisons.</p
Modeling flood event characteristics using D-vine structures
No full textThe authors investigate the use of drawable (D-)vine structures to model the dependences existing among the main characteristics of a flood event, i.e., flood volume, flood peak, duration, and peak time. Firstly, different three- and four-dimensional probability distributions were built considering all the permutations of the conditioning variables. The Frank copula was used to model the dependence of each pair of variables. Then, the appropriate D-vine structures were selected using information criteria and a goodness-of-fit test. The influence of varying the data length on the selected D-vine structure was also investigated. Finally, flood event characteristics were simulated using the four-dimensional D-vine structure
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Essential Oil Variability of Superior Myrtle (Myrtus communis L.) Accessions Grown under the Same Conditions
No full textMyrtle (Myrtus communis L., Myrtaceae) has numerous applications in pharmacology, food technology, and cosmetic industry. The current research aimed at measuring variations in the leaf essential oil (EO) compositions of 14 superior myrtle accessions originating in natural habitats of south Iran. The plants were grown under greenhouse conditions. Fresh leaf samples were harvested in June 2021. Based on dry matter, the extractable amount of EO in the accessions ranged from 0.42% (BN2) to 2.6% (BN5). According to GC/MS analysis, the major compounds in the EO were α-pinene (2.35–53.09%), linalyl acetate (0–45.3%), caryophyllene oxide (0.97–21.8%), germacrene D (0–19.19%), α-humulene (0–18.97%), 1,8-cineole (0–18.0%), limonene (0–17.4%), and p-cymene (0–13.2%). These myrtle accessions were classified into four groups, including I: caryophyllene oxide/germacrene D/α-humulene/methyl eugenol chemotype; II: α-pinene/p-cymene/α-humulene and (E)-β-caryophyllene; III: α-pinene/1,8-cineole, and linalool; IV: linalyl acetate/γ-terpinene/1,8, cineole/limonene. These classifications were established by considering the main EO components using hierarchical cluster analysis (HCA) and principal component analysis (PCA). In summary, this study provided new insights into available opportunities of selecting suitable genotypes for commercial cultivation purposes and planning breeding programs in the future
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
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