(Bohacek & Rozovskii 2004) studied the travel times of information packets over the internet. Queuing delay resulted in a random time varying component to their model (Footnote: Interestingly they utilized models originally developed to model short rates in finance, further illustrating the linkage between finance, information theory, and information processing). Similarly the different components of an agent’s information proces sing system can be assumed to experience similar queuing delays and the resulting randomly evolving processingrates CC L (t).
Research results prove that information processingrates, working efficiency and ac- curacy, as well as attention stability differs in children and adult students depending on their dominant brain hemisphere. children’s information processingrates are lower that those of adults, however, at this age they do not remarkably differ for right-handers and left-handers. accuracy rates, in turn, differ, mainly due to children’s unstable attention, and are more evident in left-handed children.
Surprisingly the Haliclona–Ceratodictyon association removed nearly an order of magnitude more PON and POC from the water column in winter than summer (Table·3). As there was no discernible difference between the ultraplankton communities, the greater flux is probably due to an increase in the amount of water processed by the sponge. It has been demonstrated in a temperate sponge that water processing and temperature are positively correlated (Riisgård et al., 1993). H. cymiformis, however, appears to be increasing water processingrates as the temperature decreases from summer to winter. This result, while unexpected, may be linked to the unique association between the sponge and algal partners. It may be that, in summer, higher rates of photosynthesis (Trautman, 1996) supply more oxygen and organic carbon to the sponge partner than in winter, allowing it to process less water and still meet its metabolic needs.
Over the past 15 years, laser beams, which can be focused to very small focal points or lines with high beam intensities, have been used as the heating source in both laser float zone (LFZ) and laser surface melting methods[47–49]. Later, A geometrical modification to the LFZ method is capable of producing plate-shaped samples, where the thickness of the resolidified layer depends primarily on the laser power, the material absorptivity, laser scan rate and thermal boundary conditions[33,41]. The ceramic powders are usually hydraulically pressed into a pellet and placed in a graphite crucible before laser processing. Because the laser source can be highly focused, the laser-based methods offer larger thermal gradient (10 3 -10 4 K/cm) than traditional techniques (below 10 2 K/cm) and allow for higher processingrates than traditional FZ and Bridgeman methods. With the increased thermal gradient of laser heating sources, the stability of coupled eutectic growth increases to larger solidification rates, and the high processingrates provide the possibility of producing finer microstructures.
In particular, we use field-programmable gate arrays (FP- GAs) instead of digital signal processors (DSPs) as in , for the real-time processing of the base-band signals. The reason therefore is the need to process multiple data streams in a single unit. The limited number of in- and output ports of current DSPs may not allow multiple high data rate streams in parallel. For the most simple MIMO algorithms, as the minimum mean-square error (MMSE) detector, all required components for the real-time processing of the received base- band signals can be integrated on current FPGAs. However, each component must carefully be programmed in VHDL, to allow a proper timing control. [(Calculation of beam steering weights, power allocation and bit loading vector). The typi- cal MIMO algorithms are implemented on a standard DSP.] It is also used to control the system.
Figure 6.5 illustrates the volatility of the exchange rate since 2000. The graph records movements in the Australian dollar against the US dollar and the TWI (the trade weighted index). Between 2000 and 2011, the Australian dollar fluctuated between USD0.49 and USD1.10 and between 47 and 79 on the trade weighted index. During the period shown, the average value for the Australian dollar was $US0.74. Notice how closely the two exchange rates track one another. The TWI does not fluctuate as much since it is an average of Australia’s major trading currencies. Between June 2001 and June 2008 there was a strong appreciation of the Australian dollar both against the USD and the TWI. The dollar increased from USD0.50 to USD0.96 while the TWI increased from 47 to 73. This was the start of the commodities boom in Australia fuelled by the strong demand from China.
The literature on central bank communication in general and ECB com- munication in particular has developed along different avenues. A number of contributions have been successful to establish a clear impact of communication on financial market variables like exchange rates or interest rates other than the policy rate. Andersson et al. (2001) establish that the long-term interest rates are influenced by signals from speeches of central bankers from the Swedish central bank. Guthrie and Wright (2000) find an announcement effect for interest rates along all maturities in the case of New Zealand. Also, the Bank of Eng- land influences interest rates by different channels of communication, most pro- nounced for the minutes of the meetings and the Inflation Report (Reeves and Sawicki, 2005). Kohn and Sack (2003) find that the Federal Reserve also influ- ences short- and long-term interest rates with different communication devices. The effect of ECB policy announcement on Euribor futures market rates seems to be small (Bernoth and von Hagen, 2004). Studies related to the impact of communication on exchange rates are Fratzscher (2004), Jansen and de Haan (2004b), or Beine and Lecourt (2004). Lamla and Rupprecht (2006) estab- lish a link between ECB statements and the term structure of the interest rate.
and temperatures (300˚C - 500˚C). Temperature of the specimen was monitored with the aid of a chromel/alu- mel thermocouple embedded in a 0.5 mm hole drilled half the height of the specimen as stated by Yi Liu et al. . The thermocouple was also used for measuring the adiabatic temperature rise in the specimen during defor- mation. The specimens were effectively lubricated with graphite and deformed to a true strain of 0.5. After com- pression testing, the specimens were immediately quen- ched in water and the cross section was examined for microstructure. Specimens were deformed to half of the original height. Deformed specimens were sectioned par- allel to the compression axis and the cut surface was prepared for metallographic examination. Specimens were etched with Keller’s solution. The microstructure of the specimens was obtained through Versamet 2.0 optical microscope with Clemex vision Image Analyser and me- chanism of deformation was studied. Using the flow stress data, power dissipation efficiency and flow insta- bility were evaluated for different strain rates, tempera- tures at a constant strain of 0.5. The processing maps were developed for 0.5 strains for 7075/Al/15%SiC p
The rates of amorphous aluminosilicate dissolution and precipitation are known to be dependent on several factors, including temperature, pH, concentra- tion and soluble Si/Al ratio [32, 34, 79, 108, 109]. Therefore, it is of little surprise that these same factors have been identified earlier in this article as being critical in determining the synthesis characteristics and products of geopolymerization. Knowing this, the effects of raw material selection and pre-processing, temperature of reaction, transient solution phase Si/Al ratio (i.e. related to the independent rates of silicon and aluminum release from dissolution and the initial soluble silicon concentration in the activator), and dilution rate can be incorporated into the rates of exchange, lability and speciation of the silicate, alumi- nate and aluminosilicate species in the solution phase, with the solubility of the supersaturated solution as a function of dissolution and precipitation kinetics based on published literature [24, 36]. With a more rigorous conceptual understanding of the importance of alumi- num in the formation of geopolymers, the importance of raw material chemical composition and mineralogy in the kinetics and products of geopolymerization can be elucidated. Therefore, determination of the amount of available aluminum is critical in successful formu- lation of fly ash-based geopolymers [22, 52, 53].
Includes: Bank Fees for Wire Transfer and Exchange Rates, Document Processing, Program Development, Coordinating Services, Obtaining Child Updates, Assistance in Dossier Preparation, Supervision of Foreign Provider, Communication with Adoptive Families and Foreign Government, Administrative Services provided in the US and Travel Preparation.
Six study sites, ranging from 246 to 657 km 2 in area, were located in the Queensland Murray – Darling Catchment (QMDC) of south-western Queensland (Fig. 2b). Each site consisted of several properties producing sheep, cattle or mixed cereal or ﬁbre (cotton) crops, often in combination. Habitats were typically fragmented, containing areas of cultivation, large tracts of grazing land with the occasional forest or woodland verges, particularly along riparian areas. These sites are representative of the grain-producing belt throughout southern Queensland and northern New South Wales where feral-pig harvesting commonly occurs and is encouraged by landholders. It is one of the main areas of commercial harvesting of feral pigs because its relatively consistent supply of pigs and close proximity to processing facilities, reducing freight costs (C. Dee, Wild Game Resources, pers. comm. 2011).
A post processing review of the recorded photos and videos was used to assess whether each of the potential sighting noted by the observers was correct. The post processing review was performed with the knowledge of the time when the poachers recorded the UAV passed overhead. This was used to identify any instances where the mock poacher was visible but the observer failed to see them. Figure 3.4 shows the success rates for live spotting mock poachers in each hiding behavior compared to mock poachers spotted in the post processing review. As shown, not all of the poachers were visible, even in the post processing review and the live observers did not catch all of the poachers that were visible to the UAV.
It is to note that a similar processing route was performed in an AZ61 Mg alloy with a strong initial basal texture. However, dramatically diﬀerent results were obtained. 17) First, the maximum reduction allowed during the ﬁrst pass was 30%. Second, grain reﬁnement took place by a diﬀerent dynamic recrystallization mechanism, namely rotational recrystallization (RRX). These divergences suggest that the dynamic recrystallization mechanism responsible for grain reﬁnement during LSR of Mg alloys is highly dependent on the initial texture. This may be rationalized taking into account the large anisotropy of the hcp lattice, that determines the predominant deformation mechanisms in an hcp alloy with a certain initial texture under a given stress state. 31) That is, the deformation mechanisms operative during straining of Mg alloys are not only dependent on the testing conditions such as temperature and strain rate, but also on the initial texture of the material. The deformation and recrystallization mechanisms in Mg alloys are deeply correlated, as has been previously suggested by Galiyev et al. 16) These authors have proposed that the predominance of a certain deformation mechanism would lead to the occurrence of a corresponding speciﬁc dynamic recrystallization mech- anism. Thus, as a consequence of the dependence of the deformation mechanisms on the initial texture, the dynamic recrystallization mechanisms would also be texture-depend- ent. Presumably, the same would apply during deformation under diﬀerent stress states such as uniaxial deformation, biaxial deformation and others.
cancers, it is essential to increase, rather than decrease, metabolic stress. We previously showed that clinical IDH mut gliomas have dramatically altered expres- sion profiles of genes involved in metabolism as compared to IDH wt gliomas. Based on these data, we proposed a model in which IDH mut gliomas utilize the neurotransmitter glutamate and lactate as fuels , whereas IDH wt gliomas predominantly use glucose . According to that model, the shortage of α-KG in IDH mut gliomas is partially rescued by direct import of glutamate that is converted to α-KG by the NAD + -/NADP + -depen- dent enzymes glutamate dehydrogenase 1/2 (GLUD1/2). In IDH mut non-gliomas, residing in environments with low glutamate concentrations, this rescue pathway may start with the import of glutamine that is first converted to glutamate by mitochondrial glutaminase (GLS), followed by GLUD1/2-mediated further processing to α-KG. Multiple studies have shown that glutamine is a major carbon donor for D-2-HG [27–29]. Alpha-KG can then be shuttled into the TCA cycle or converted to D-2-HG. We therefore hypothesized that inhibition of glutamate processing in IDH mut cancer cells would not only prevent D-2-HG production, but also NAD(P) H and α-KG synthesis, thus increasing metabolic stress and sensitizing IDH mut cancers to radiotherapy and chemo- therapy [25, 30].
Most of the cottonseed processed in the country is through traditional ghani or expeller. Machinery used even where cottonseed is processed in a scientific manner is also quite old and inefficient. Delinting and dehulling are two important steps in processing cottonseed in a scientific manner. Comparative cost of operation of the existing as well as modern machinery for delinting comes to about Rs. 64.01 lakh and 37.42 lakh, respectively. For dehulling machines the comparative costs for traditional and modern machinery of 150 metric tonnes per day capacity comes to about Rs. 24.18 lakh and Rs. 15.30 lakh, respectively. This comparative cost analysis underlines the urgent need for replacing the existing age old processing machinery with modern cost effective machinery which is now easily available abroad. The Department of Food Processing Industries under the Ministry of Agriculture, Government of India is operating several plan schemes for development of processed food sector. The working group constituted by the Planning Commission has recommended, based on the constrained, according priority to modernization of food processing industries. AICOSCA has approached the Additional Industrial Adviser, Department of Food Processing Industries, and Government of India for inclusion of modernization of cottonseed
system model. To assess performance of the existing crosstalk cancelers on the proposed system model, we study characteristics of the equivalent CM-DM channel at each tone. To do so, we model (due to non-availability of an analytical model for the CM channel) a CM vectored channel by extending the recently proposed single-TP CM channel , and modify it to include the statistical dis- persion (using the approach for DM channels in ). In particular, we show that the CM-DM channel matrix is more column-wise diagonally dominant (CWDD) than the DM channel at high frequency and/or longer loop-length. This fact is useful for development of efficient algorithms for crosstalk cancelation. We also obtain the SUB of the proposed system, and show that the CM-DM processing increases reach of the VDSL service by providing higher rates at longer loop-lengths. This advantage is accrued because of the fact that attenuation in the CM channel is smaller than the attenuation in the DM channel . We extend the ZF receiver of the DM system for the proposed system, derive a simple lower bound on the capacity, and show that the SUB of CM-DM system is achieved by the ZF receiver. Finally, we use CM-DM processing to exploit high correlation of CM and DM signals for the mitigation of alien crosstalk. We derive an upper bound on the SUB after noise whitening and show that higher data-rate is attained with the considered system. Computer simula- tions are presented to further demonstrate the data-rate performance of the vectored CM-DM processing in each of the upstream frequency bands.
Prostate cancer is diagnosed in 180,000 men every year, and one in seven men is affected in his lifetime. 1 Potentially curative interventions such as surgery may have signi ﬁ cant treatment-related morbidity that negatively impacts quality of life. Urinary incontinence (UI) is common, and up to 71% of all men may require the use of absorbent pads following radical prostatectomy. 2 Because ten-year survival rates in prostate cancer exceed 99%, reduction in treatment-related morbidity can have profound and long-lasting effects. Recent efforts to identify risk factors for UI following treatment aim to facilitate informed treatment decisions and increase patient engagement in medical decision-making. 2–5