Narrow Results

A system that builds and maintains a dynamic map for a mobile robot is presented. A learning rule associated to each observed landmark is used to compute its robustness. The position of the robot during map construction is estimated by combining sensor readings, motion commands, and the current map state by means of an Extended Kalman Filter. The combination of landmark strength validation and Kalman filtering for map updating and robot position estimation allows for robust learning of moderately dynamic indoor environments.

The availability of Silicon Germanium (SiGe) Heterojunction Bipolar Transistor (HBT) devices has opened a door for GHz Field Programmable Gate Arrays (FPGAs).^1,2 The integration of high-speed SiGe HBTs and low-power CMOS gives a significant speed advantage to SiGe FPGAs over CMOS FPGAs. In the past, high static power consumption discouraged the pursuit of bipolar FPGAs from being scaled up significantly. This paper details new ideas to reduce power in designing high-speed SiGe BiCMOS FPGAs. The paper explains new methods to reduce circuitry and utilize a novel power management scheme to achieve a flexible trade-off between power consumption and circuit speed. In addition, new decoding logic is developed with shared address and data lines. A SiGe FPGA test chip based on the Xilinx 6200 architecture has been fabricated for demonstration.

A novel multiple-output pseudo-random-bit generator (PRBG) based on a coupled map lattice (CML) consisting of skew tent maps, which generates spatiotemporal chaos, is presented. In order to guarantee PRBG highly effective, avoiding synchronization among the sites in the CML is discussed. The cryptographic properties, such as probability distribution, auto-correlation and cross-correlation, of the PRBG with various parameters, are investigated numerically. The randomness of the PRBG is verified via FIPS 140-2. In addition, as compared with the PRBG based on the CML consisting of the logistic maps, which are often used in chaos-based PRBGs by many other researchers, the ranges of the parameters within which this multiple-output PRBG have good cryptographic properties are much bigger in terms of their cryptographic properties. It lays a foundation for designing a faster and more secure encryption.

Many complex and interesting spatiotemporal patterns have been observed in a wide range of scientific areas. In this paper, two kinds of spatiotemporal patterns including spot replication and Turing systems are investigated and new identification methods are proposed to obtain Coupled Map Lattice (CML) models for this class of systems. Initially, a new correlation analysis method is introduced to determine an appropriate temporal and spatial data sampling procedure for the identification of spatiotemporal systems. A new combined Orthogonal Forward Regression and Bayesian Learning algorithm with Laplace priors is introduced to identify sparse and robust CML models for complex spatiotemporal patterns. The final identified CML models are validated using correlation-based model validation tests for spatiotemporal systems. Numerical results illustrate the identification procedure and demonstrate the validity of the identified models.

SINGAPORE – Intelligent Sensor Informs You to Change a Diaper via SMS

JAPAN – Tokyo Institute of Technology research: Key genetic event underlying fin-to-limb evolution

ISRAEL – Independent Results Show that BiondVax's Universal Flu Vaccine Administered in a Trial 3 Years ago Improves Immunogenicity against Current Flu H3N2 Epidemic

UNITED KINGDOM – Imperial Innovations Launches Orthonika: A Novel Knee Meniscus Replacement

UNITED KINGDOM – New Vaccine For Chlamydia to Use Synthetic Biology

CANADA – Aeterna Zentaris Announces Data and Safety Monitoring Board Scheduled to Complete Second Interim Analysis of the ZoptEC Phase 3 Trial in Endometrial Cancer in Early October

UNITED STATES – NueMD Launches Free ICD-10 Training Tool Ahead of October 1 Deadline

UNITED STATES – A new hope for Moderate and Severe Dementia: Upsher-Smith receives FDA approval for generic version of Namenda (Memantine HCL) Tablets

UNITED STATES – FDA Approves U.S. Product Labeling Update for Sprycel^® (dasatinib) to Include Five-Year First-Line and Seven-Year Second-Line Efficacy and Safety Data in Chronic Myeloid Leukemia in Chronic Phase

Chronic Myeloid Leukemia (CML) is known as clonal myeloproliferative disorder resulted by the proliferative and deregulated expression of the BCR-ABL gene. Although targeting the BCR-ABL gene is an effective treatment for CML, the development of drug intolerance and drug resistance is still an issue for BCR-ABL targeted therapy. With an aim to develop novel BCR-ABL inhibitors with fewer side effects, we started with the anti-cancerous natural compound coumestrol as the lead. Chalcone and pyrazole are the well-exploited scaffolds in the anticancer domain; hence, in this work, we designed novel coumestrol derivatives with these structures. In order to quantify the structural changes, we employed in silico methods. The new drug leads were compared with the FDA-approved CML drug bosutinib. The molecular orbital analysis of the selected lead compounds was assessed by Density Functional Theory (DFT) approach. Molecular Dynamic (MD) computations were performed on the most promising leads to find the stability. Following which, the pharmacokinetics parameters of the screened compounds were also analyzed to check the drug-like property.