128,727 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
SV2A/B KO neurons are resistant to TeNT.
<p>(A) Mouse spinal cord neurons with the following genotypes: WT, SV2B KO [SV2A (+/+) SV2B (−/−)], and SV2A/B KO [SV2A (−/−) SV2B (−/−)], were exposed to HCR/T (50 nM). HCR/T fluorescence in SV2A/B KO neurons was dramatically reduced as compared to WT and SV2B KO. (B) Quantification of HCR/T binding: fluorescence was reduced by 30% and 50% for SV2B KO and SV2A/B KO neurons, respectively. Error bars represent SD, WT n = 9, SV2B KO n = 11, SV2A/B KO n = 12, ***p≤0.001. (C) SV2B KO and SV2A/B KO cultures were exposed to TeNT (20 nM) and BoNT/A (10 nM). Cell lysates were subjected to immunoblot analysis and probed for syb II, SV2, SNAP-25, and actin. Syb II in SV2A/B KO neurons was largely protected from TeNT action until resensitized through lentiviral expression of SV2A or SV2B; arrow indicates the BoNT/A cleaved form of SNAP-25. (D) SV2B KO and SV2A/B KO spinal cord neurons from were assayed for susceptibility to TeNT. Syb II was cleaved by 5 nM TeNT in SV2B KO neurons, while syb II was protected from TeNT in SV2A/B KO neurons. SV2A/B KO neurons could be resensitized to TeNT, upon lentiviral expression of SV2A. (E) Three putative glycosylation sites in SV2A were removed by creating N to Q mutants (residues 498, 548 and 573) and were expressed in SV2A/B KO neurons along with WT SV2A. Syb II was cleaved by TeNT in neurons reinfected with WT SV2A as well as the three mutants. (F) WT and SV2B KO mice were injected with the indicated amounts of TeNT and their time-to-death was recorded. SV2B KO mice were more than five-times more resistant to TeNT as compared to their WT counterparts. (G) WT and SV2A/B KO neurons were cultured and treated with BoNT/F at the indicated concentrations. Cell lysates were probed for syb II and syp by immunoblot analysis. WT and SV2A/B KO neurons exhibited similar sensitivities to BoNT/F.</p
Wright Model B Flyer tail protruding from a tent
A Wright Model B Flyer in a tent near the Wright Bros. sign at Belmont Park. The tail of the Model B is resting on a sawhorse outside the tent. This photograph is attributed to the U.S. Army Air Corps, 2nd Photo Section, Langley Field, Virginia.https://corescholar.libraries.wright.edu/special_ms1_photographs/2391/thumbnail.jp
An exposure-free tool for monitoring adult malaria mosquito populations.
Catches of Anopheles gambiae and An. arabiensis with the Ifakara Tent Trap-model B (ITT-B) correlate better with human landing catches than any other method but fail to reduce the proportion of blood-fed mosquito caught, which indicates that users are exposed to bites during collection. An improved C model (ITT-C) was developed and evaluated by comparing with ITT-B in semi-field and full-field conditions in southern Tanzania. The sensitivity of the ITT-C was approximately two times that of the ITT-B: relative rate (95% confidence interval) = 1.92 (1.52-2.42), 1.90 (1.48-2.43), and 2.30 (1.54-3.30) for field populations of An. arabiensis, Culex spp., and Mansonia spp., respectively. The ITT-C caught 73% less blood-fed An. arabiensis than the ITT-B in open field experiments and none in semi-field experiments, which confirmed that the C design is a safe trapping method. Validation of ITT-C by comparison with human landing catches and parasitologic measures of human infection status may be necessary to confirm that this design produces consistent and epidemiologically meaningful results
Photo Tent (55b26)
A view of a photo tent at a 319th Bomb Group camp site. The double tent helps provide coolness. One black and white photograph
Effects of climate and forest structure on duration of forest tent caterpillar outbreaks across central Ontario, Canada
Abstract: We examined the effect of forest structure and climate enlarge-scale and long-term patterns of outbreaks of forest tent caterpillar, Malacosoma disstria Hbn., across central Ontario. This was done using previously published data on outbreak duration and forest heterogeneity, combined with high-resolution climatic data simulated by the recently developed Ontario Climate Model. Our analysis, which eliminates some of the spatially confounding effects of forest structure and climate, suggests that both the predicted long-term temperature minimum for the coldest month and the predicted growing degree-days in the first 6 weeks of the growing season are important determinants of outbreak duration, with colder weather being associated with shorter outbreaks. Forest heterogeneity accounts for more variation in outbreak duration than either of the climatic variables
Arab Tent A and B
Quilt pattern from the Linda Lowe Quilt Patterns Collection titled Arab Tent A and B.https://scholarworks.moreheadstate.edu/lowe_quilt_patterns/1035/thumbnail.jp
Measurement of small signal variations using one-dimensional chaotic maps
A novel electronic signal Measurement System (MS) based on one-dimensional chaotic maps (Logistic Map (LM) and Tent Map (TM)) has been developed, analysed and tested. Firstly, an in-depth theoretical analysis of each map was performed using MATLAB based computation, and the results demonstrated that the high sensitivity, to initial conditions, of each map was suitable for small signal change detection and measurement. A new 3D representation of chaos map output for varying initial input was also developed allowing the suitability of any one-dimensional chaotic map to be determined.
An electronic implementation of the chaotic maps, using low noise and low cost components was developed along with a feedback and a series based MS. The implementations were tested and the experimental results demonstrate a matching within ±1 %, between theory and the electronic implementations, both maps exhibiting behaviour identical to the theoretical maps, ranging from fixed point stability, periodicity and chaos.
Each map implementation was tested separately and as part of a complete MS and the results reveal that the proposed measurement technique can detect and measure input signals changes as low as 5 over a 10 V input range, which yields a greater resolution than a MS using an 20 bit Analogue to Digital Converter (ADC) over the same input range.
The main advantage of the presented MS is that the accuracy of the measurement is independent of the input range which is not the case with classical approach to measurement based on conditioning circuitry followed by an ADC as the minimum detectable change is directly proportional to the input range
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