UV detector monitors organic contamination of optical surfaces

Silicon carbide, insensitive to visible light, is used in photodetectors. System contamination can be monitored during the normal operation without interference to the operator, and without shielding from ambient light

Making the small oblique parameters large

We compute the oblique parameters, including the three new parameters $V$, $W$ and $X$ introduced recently by the Montreal group, for the case of one scalar multiplet of arbitrary weak isospin $J$ and weak hypercharge $Y$. We show that, when the masses of the heaviest and lightest components of the multiplet remain constant, but $J$ increases, the oblique parameter $U$ and the three new oblique parameters increase like $J^3$, while $T$ only increases like $J$. For large multiplets with masses not much higher than $m_Z$, the oblique parameters $U$ and $V$ may become much larger than $T$ and $S$.Comment: 9 pages, standard LATEX, 3 figures available from the authors, report CMU-HEP93-17 and DOE-ER/40682-4

Arkansas Cotton Variety Test 2016

The primary goal of the Arkansas Cotton Variety Test is to provide unbiased data regarding the agronomic performance of cotton varieties and advanced breeding lines in the major cotton-growing areas of Arkansas

Fast-field cycling NMR is sensitive to the method of cross-linking in BSA gels

This work was supported by ARUK (grant number 19689).Non peer reviewedPublisher PD

Effectiveness of resins/exudates of trees in corrosion prevention of reinforcement in reinforced concrete structures

Corrosion of steel reinforcement is one of the important factors that are responsible for the short service life of reinforced concrete members, in marine structures like bridges, piers and jetties. This study, investigated the effectiveness of resin/exuda tes in corrosion prevention of reinforcement in reinforced concrete cubes. The reinforced concrete cubes of dimension (150mm x 150mm x 150mm) were coated with dacryodes edulis resin paste of various thicknesses: 150um, 250um, and 300um. The reinforced conc rete cubes were exposed to a corrosive environment for 60days after 28 days of curing. in order to stimulate accelerated corrosion of the reinforcing steel. Another test was carried out with steel reinforcement cubes, whose steel reinforcement were not coa ted with dacryodes edulis resin but also exposed to the same corrosive environment. for the same 60 days after 28 days curing. The control test was carried out with a set of concrete cubes that were not coated with dacryodes edulis but were not exposed to a corrosive environment. The reinforced concrete cubes were subjected to tensile and pull out bond strength in order to access the effectiveness of the resin on the corrosion prevention, by enhancing the tensile and pull out bond strength of the reinforcement in the experimental cubes. Results obtained indicated that the failure bond strength, pull out bond strength and maximum slip of the resin coated reinforced cubes were higher by (19%), (84%) and (112%). respectively than those obtained from the controlled tests. Similar results were obtained for the maximum slip (the resin coated and non - corroded steel members) had higher values of maximum s lip compared to the cubes that had corroded steel reinforcements. For the corroded beam members, the failure bond strength, pull out bond strength and maximum slip of the resin coated reinforcements were lower by (22%), (32%) and (32%). respectively than those obtained from the controlled tests. The resin (mdacryodes edulis) inhibit corrosion of there inforcement, hence enhanced strength to the reinforcement. Key words: Bond strength, Concrete (reinforced), Ccorrosion, Resins Slip, Tensile strengt

Fast field-cycling NMR of cartilage : a way toward molecular imaging

Peer reviewedPublisher PD

Particle Swarm Optimization and gravitational wave data analysis: Performance on a binary inspiral testbed

The detection and estimation of gravitational wave (GW) signals belonging to a parameterized family of waveforms requires, in general, the numerical maximization of a data-dependent function of the signal parameters. Due to noise in the data, the function to be maximized is often highly multi-modal with numerous local maxima. Searching for the global maximum then becomes computationally expensive, which in turn can limit the scientific scope of the search. Stochastic optimization is one possible approach to reducing computational costs in such applications. We report results from a first investigation of the Particle Swarm Optimization (PSO) method in this context. The method is applied to a testbed motivated by the problem of detection and estimation of a binary inspiral signal. Our results show that PSO works well in the presence of high multi-modality, making it a viable candidate method for further applications in GW data analysis.Comment: 13 pages, 5 figure

Kennedy, W. C. Collegiate Institute Yearbook 1953-1954

Called The KenCollhttps://scholar.uwindsor.ca/essexcountyontariohighschoolyearbooks/1031/thumbnail.jp