Multi-level analysis of on-chip optical wireless links

Networks-on-chip are being regarded as a promising solution to meet the on-going requirement for higher and higher computation capacity. In view of future kilo-cores architectures, electrical wired connections are likely to become inefficient and alternative technologies are being widely investigated. Wireless communications on chip may be therefore leveraged to overcome the bottleneck of physical interconnections. This work deals with wireless networks-on-chip at optical frequencies, which can simplify the network layout and reduce the communication latency, easing the antenna on-chip integration process at the same time. On the other end, optical wireless communication on-chip can be limited by the heavy propagation losses and the possible cross-link interference. Assessment of the optical wireless network in terms of bit error probability and maximum communication range is here investigated through a multi-level approach. Manifold aspects, concurring to the final system performance, are simultaneously taken into account, like the antenna radiation properties, the data-rate of the core-to core communication, the geometrical and electromagnetic layout of the chip and the noise and interference level. Simulations results suggest that communication up to some hundreds of \u3bcm can be pursued provided that the antenna design and/or the target data-rate are carefully tailored to the actual layout of the chip

Stabilizing versus destabilizing the microtubules: A double-edge sword for an effective cancer treatment option?

Microtubules are dynamic and structural cellular components involved in several cell functions, including cell shape, motility, and intracellular trafficking. In proliferating cells, they are essential components in the division process through the formation of the mitotic spindle. As a result of these functions, tubulin and microtubules are targets for anticancer agents. Microtubule-targeting agents can be divided into two groups: microtubule-stabilizing, and microtubule-destabilizing agents. The former bind to the tubulin polymer and stabilize microtubules, while the latter bind to the tubulin dimers and destabilize microtubules. Alteration of tubulin-microtubule equilibrium determines the disruption of the mitotic spindle, halting the cell cycle at the metaphase-anaphase transition and, eventually, resulting in cell death. Clinical application of earlier microtubule inhibitors, however, unfortunately showed several limits, such as neurological and bone marrow toxicity and the emergence of drug-resistant tumor cells. Here we review several natural and synthetic microtubule-targeting agents, which showed antitumor activity and increased efficacy in comparison to traditional drugs in various preclinical and clinical studies. Cryptophycins, combretastatins, ombrabulin, soblidotin, D-24851, epothilones and discodermolide were used in clinical trials. Some of them showed antiangiogenic and antivascular activity and others showed the ability to overcome multidrug resistance, supporting their possible use in chemotherapy

Dielectric and plasmonic vivaldi antennas for on-chip wireless communication

In this paper, different technologies enabling wireless on-chip communication are investigated. In particular, plasmonic Vivaldi antennas coupled to silicon waveguides and all-dielectric Vivaldi antennas are proposed. The design criteria and the performances of the two antenna configurations are also discussed

CALR MUTATIONS IN SICILIAN ESSENTIAL THROMBOCYTHEMIA AND MYELOFIBROSIS PATIENTS.

Background. Essential thrombocythemia (ET) and primary myelofibrosis (MF) are myeloproliferative neoplasms characterized by the overproduction of mature cells such as platelets (ET) or early bone marrow fibrosis due to scarring induced by highly proliferating myeloid progenitors and pathological stimulation of local fibroblasts (MF). Somatic mutations in CALR gene have recently identified in the majority of JAK2-V617F and MPL negative ET and MF patients. In this study we evaluated the frequency and type of CALR mutations and their clinical and hematological features. Methods. A total of 54 patients, 29 ET and 25 MF patient, was included in this study. All patients were JAK2 V617F and MPL negative. We registered clinical and hematological characteristics of patients i.e. age, hemoglobin level, white blood cell count, platelet count, International Prognostic Scoring System (IPSS), risk of thrombosis. Samples were collected from peripheral blood and DNA was extracted by using the QIAamp DNA mini kit (QIAGEN); CALR mutations were analyzed by direct sequencing method. Results. CALR mutations were present in 20.4 % of patients (4 ET; 7 MF). Four types of CALR mutations were detected; type 1 (p.L367fs*46) was isolated in 6 MF patient, type 2 (p.K385fs*47) was isolated in 3 ET patient; we also found 2 deletion mutations (p.E371fs*49 and D373fs*47), which are less common deletions, in the remaining patients. Patients carrying CALR mutations were younger (mediane age: 50 vs 65; p=0.2) than CALR negative patients. Furthermore, they did not show thrombosis and IPSS high risk. Conclusions. Our observations are in agreement with the findings of literature. We can assert an improved outcome of CALR mutated patients and we can also speculate a possible protective role of CARL mutations given the absence of thrombosis events and of IPSS high risk. However, the cohort of patients with myeloproliferative disease need to be implemented to draw final conclusion

Combined use of principal component analysis and random forests identify population-informative single nucleotide polymorphisms: Application in cattle breeds

The genetic identification of the population of origin of individuals, including animals, has several practical applications in forensics, evolution, conservation genetics, breeding and authentication of animal products. Commercial high-density single nucleotide polymorphism (SNP) genotyping tools that have been recently developed in many species provide information from a large number of polymorphic sites that can be used to identify population-/breed-informative markers. In this study, starting from Illumina BOVINESNP50 V1 BEADCHIP array genotyping data available from 3711 cattle of four breeds (2091 Italian Holstein, 738 Italian Brown, 475 Italian Simmental and 407 Marchigiana), principal component analysis (PCA) and random forests (RFs) were combined to identify informative SNP panels useful for cattle breed identification. From a PCA preselected list of 580 SNPs, RFs were computed using ranking methods (Mean Decrease in the Gini Index and Mean Accuracy Decrease) to identify the most informative 48 and 96 SNPs for breed assignment. The out-of-bag (OOB) error rate for both ranking methods and SNP densities ranged from 0.0 to 0.1% in the reference population. Application of this approach in a test population (10% of individuals pre-extracted from the whole data set) achieved 100% of correct assignment with both classifiers. Linkage disequilibrium between selected SNPs was relevant (r(2) > 0.6) only in few pairs of markers indicating that most of the selected SNPs captured different fractions of variance. Several informative SNPs were in genes/QTL regions that affect or are associated with phenotypes or production traits that might differentiate the investigated breeds. The combination of PCA and RF to perform SNP selection and breed assignment can be easily implemented and is able to identify subsets of informative SNPs useful for population assignment starting from a large number of markers derived by high-throughput genotyping platforms