Ergodic Capacity of Cognitive TAS/GSC Relaying in Nakagami-m Fading Channels

We examine the impact of transmit antenna selection with receive generalized selection combining (TAS/GSC) for cognitive decode-and-forward (DF) relaying in Nakagami-m fading channels. We select a single transmit antenna at the secondary transmitter which maximizes the receive signal-to-noise ratio (SNR) and combine a subset of receive antennas with the largest SNRs at the secondary receiver. In an effort to assess the performance, we first derive the probability density function and cumulative distribution function of the end-to-end SNR using the moment generating function. We then derive new exact closed-form expression for the ergodic capacity. More importantly, by deriving the asymptotic expression for the high SNR approximation of the ergodic capacity, we gather deep insights into the high SNR slope and the power offset. Our results show that the high SNR slope is 1/2 under the proportional interference power constraint. Under the fixed interference power constraint, the high SNR slope is zero.

Variance-Constrained Capacity of the Molecular Timing Channel with Synchronization Error

Molecular communication is set to play an important role in the design of complex biological and chemical systems. An important class of molecular communication systems is based on the timing channel, where information is encoded in the delay of the transmitted molecule - a synchronous approach. At present, a widely used modeling assumption is the perfect synchronization between the transmitter and the receiver. Unfortunately, this assumption is unlikely to hold in most practical molecular systems. To remedy this, we introduce a clock into the model - leading to the molecular timing channel with synchronization error. To quantify the behavior of this new system, we derive upper and lower bounds on the variance-constrained capacity, which we view as the step between the mean-delay and the peak-delay constrained capacity. By numerically evaluating our bounds, we obtain a key practical insight: the drift velocity of the clock links does not need to be significantly larger than the drift velocity of the information link, in order to achieve the variance-constrained capacity with perfect synchronization.

Diabetes Impairs the Aldehyde Detoxifying Capacity of the Retina

Purpose: We studied whether the accumulation of advanced lipoxidation end-products (ALEs) in the diabetic retina is linked to the impairment of lipid aldehyde detoxification mechanisms.

Methods: Retinas were collected from nondiabetic and diabetic rats and processed for conventional and quantitative RT-PCR (qRT-PCR), Western blotting, immunohistochemistry, and aldehyde dehydrogenase (ALDH) activity assays. The effect of the ALDH1a1 inhibitor, NCT-501, on ALE accumulation and cell viability in cultured Müller glia also was investigated.

Results: The rat retina expressed a range of lipid aldehyde detoxifying ALDH and aldo-keto reductase (AKR) genes. In diabetes, mRNA levels were reduced for 5 of 9 transcripts tested. These findings contrasted with those in the lens and cornea where many of these enzymes were upregulated. We have reported previously accumulation of the acrolein (ACR)-derived ALE, FDP-lysine, in retinal Müller glia during diabetes. In the present study, we show that the main ACR-detoxifying ALDH and AKR genes expressed in the retina, namely, ALDH1a1, ALDH2, and AKR1b1, are principally localized to Müller glia. Diabetes-induced FDP-lysine accumulation in Müller glia was associated with a reduction in ALDH1a1 mRNA and protein expression in whole retina and a decrease in ALDH1a1-immunoreactivity specifically within these cells. No such changes were detected for ALDH2 or AKR1b1. Activity of ALDH was suppressed in the diabetic retina and blockade of ALDH1a1 in cultured Müller glia triggered FDP-lysine accumulation and reduced cell viability.

Conclusions: These findings suggest that downregulation of ALDH and AKR enzymes, particularly ALDH1a1, may contribute ALE accumulation in the diabetic retina.

The role of proximity in university-business cooperation for innovation

The potential for universities to contribute positively to business innovation has received much attention in recent years. While the determinants of university-business cooperation have been examined extensively, less attention has been given to the mediating influence of proximity in this relationship. The analysis in this paper builds on theUKbusiness innovation survey (2002–2005) by incorporating measures of the university research environment for each of the 16,500 businesses surveyed. These measures allow us to look beyond business-level characteristics as determinants of the geography of university cooperation and account for the character of the local university environment. Measures include the distance from each business to its nearest university, the quality of local university research and the density of the university research environment. The findings suggest that significant differences exist between those businesses that cooperate with local universities and those that cooperate with non-local universities. These differences relate to business size, sales profile, location, absorptive capacity and innovation activity. In addition, we also find that if a business is located close to a research excellent university, cooperation tends to remain local, however, the distance between businesses and the nearest university is not a significant determinant of university-business cooperation and further, the higher the concentration of universities in the business locale, the more likely businesses are to cooperate with non-local universities.