Top-Down Integration Methodology for Clocking Blocks into High Speed Serial IO

High Speed Serial Input-Output (HSIOs) design architecture is widely used for many applications in today’s System-On-Chips (SOCs). SOCs integrate a number of protocols including PCIe, SATA, SD4, USB3, etc. which are based on IO architecture. Typical HSIO integrates Analog blocks such as Receiver (Rx), Transmitter (Tx) and Clocking (PLL, Clock Distribution) functions along with sea of logic gates for PCS (Physical Connectivity Sub layer), logic micro-partitions for Tx/Rx power management, encoding/decoding and Serialization/Deserialization functions. The top level design database is typically RTL leading to a sea of gates when synthesized. The top level design is implemented using standard ASIC design flow including RTL, Simulation, Synthesis, Timing, Place & Route, and Formal Verification etc. However, the partitions for Tx, Rx, PLL and Clocking are Analog/Custom hard-macros. To ensure proper functionality, integrity (for low power, timing, Place and route, Mixed Signal/IP level validation) we need to model hard-macros in a digital friendly manner. For functionality verification purpose, we model the macro behavior in Verilog, timing needs to be abstracted in industry standard liberty file format (lib file), for place and route we abstract the physical information in LEF/FRAM format etc. In HIP, while there are methods to build these individually, streamlined methodology for building these with consistency, quality and flow friendly manner is missing. The focus of this project is to formulate a methodology for hard-macro integration into top level HSIO database, and apply this for Secure Digital card (SD4) IO that is being developed in IP Blocks. DOI: 10.17762/ijritcc2321-8169.15066

The role of cost-effectiveness analysis in the development of indicators to support incentive-based behaviour in primary care in England

In England, general practitioners are incentivized through a national pay-for-performance scheme to adopt evidence-based quality improvement initiatives using a portfolio of Quality and Outcomes Framework (QOF) indicators. We describe the development of the methods used to assess the cost-effectiveness of these pay-for-performance indicators and how they have contributed to the development of new indicators. Prior to analysis of new potential indicators, an economic subgroup of the National Institute for Health and Care Excellence (NICE) Indicator Advisory Committee is formed to assess evidence on the cost-effectiveness of potential indicators in terms of the health benefits gained, compared to the cost of the intervention and the cost of the incentive. The expert subgroup is convened to reach consensus on the amounts that could potentially be paid to general practices for achieving new indicators. Indicators are also piloted in selected general practices and evidence gathered about their practical implementation. The methods used to assess economic viability of new pilot indicators represent a pragmatic and effective way of providing information to inform recommendations. Current policy to reduce QOF funding could shift the focus from national (QOF) to local schemes, with economic appraisal remaining central

Characterisation of Campylobacter jejuni genes potentially involved in phosphonate degradation

Potential biological roles of the Campylobacter jejuni genes cj0641, cj0774c and cj1663 were investigated. The proteins encoded by these genes showed sequence similarities to the phosphonate utilisation PhnH, K and L gene products of Escherichia coli. The genes cj0641, cj0774c and cj1663 were amplified from the pathogenic C. jejuni strain 81116, sequenced, and cloned into pGEM-T Easy vectors. Recombinant plasmids were used to disrupt each one of the genes by inserting a kanamycin resistance (KmR) cassette employing site-directed mutagenesis or inverse PCR. Campylobacter jejuni 81116 isogenic mutants were generated by integration of the mutated genes into the genome of the wild-type strain. The C. jejuni mutants grew on primary isolation plates, but they could not be purified by subsequent passages owing to cell death. The mutant C. jejuni strains survived and proliferated in co-cultures with wild-type bacteria or in media in which wild-type C. jejuni had been previously grown. PCR analyses of mixed wild-type/mutant cultures served to verify the presence of the mutated gene in the genome of a fraction of the total bacterial population. The data suggested that each mutation inactivated a gene essential for survival. Rates of phosphonate catabolism in lysates of E. coli strain DH5α were determined using proton nuclear magnetic resonance spectroscopy. Whole-cell lysates of the wild-type degraded phosphonoacetate, phenylphosphonate and aminomethylphosphonate. Significant differences in the rates of phosphonate degradation were observed between lysates of wild-type E. coli, and of bacteria transformed with each one of the vectors carrying one of the C. jejuni genes, suggesting that these genes were involved in phosphonate catabolism

Deep Learning Assisted Robust Detection Techniques for a Chipless RFID Sensor Tags

In this paper, we present a new approach for robust reading of identification and sensor data from chipless RFID sensor tags. For the first time, Machine Learning (ML) and Deep Learning (DL) regression modelling techniques are applied to a dataset of measured Radar Cross Section (RCS) data that has been derived from large-scale robotic measurements of custom-designed, 3-bit chipless RFID sensor tags. The robotic system is implemented using the first-of-its-kind automated data acquisition method using an ur16e industry-standard robot. A large data set of 9,600 Electromagnetic (EM) RCS signatures collected using the automated system is used to train and validate four ML models and four 1-dimensional Convolutional Neural Network (1D CNN) architectures. For the first time, we report an end-to-end design and implementation methodology for robust detection of identification (ID) and sensing data using ML/DL models. Also, we report, for the first time, the effect of varying tag surface shapes, tilt angles, and read ranges that were incorporated into the training of models for robust detection of ID and sensing values. The results show that all the models were able to generalise well on the given data. However, the 1D CNN models outperformed the conventional ML models in the detection of ID and sensing values. The best 1D CNN model architectures performed well with a low Root Mean Square Error (RSME) of 0.061 (0.87%) for tag ID and 0.0241 (3.44%) error for the capacitive sensing

Carboxylate Adsorption on Rutile TiO2(100): Role of Coulomb Repulsion, Relaxation, and Steric Hindrance

Understanding the adsorption and photoactivity of acetic acid and trimethyl acetic acid on TiO2 surfaces is important for improving the performance of photocatalysts and dye-sensitized solar cells. Here we present a structural study of adsorption on rutile TiO2(100)-1 × 1 and -1 × 3 using Scanning Tunnelling Microscopy and Density Functional Theory calculations. Exposure of both terminations to acetic acid gives rise to a ×2 periodicity in the [001] direction (i.e., along Ti rows), with a majority ordered c(2 × 2) phase in the case of the 1 × 1 termination. The DFT calculations suggest that the preference of c(2 × 2) over the 2 × 1 periodicity found for TiO2(110)-1 × 1 can be attributed to an increase in interadsorbate Coulomb repulsion. Exposure of TiO2(100)-1 × 1 and -1 × 3 to trimethyl acetic acid gives rise to largely disordered structures due to steric effects, with quasi-order occurring in small areas and near step edges where these effects are reduced

Activated lymphocyte recruitment into the tumor microenvironment following preoperative sipuleucel-T for localized prostate cancer.

BackgroundSipuleucel-T is a US Food and Drug Administration-approved immunotherapy for asymptomatic or minimally symptomatic metastatic castration-resistant prostate cancer (mCRPC). Its mechanism of action is not fully understood. This prospective trial evaluated the direct immune effects of systemically administered sipuleucel-T on prostatic cancer tissue in the preoperative setting.MethodsPatients with untreated localized prostate cancer were treated on an open-label Phase II study of sipuleucel-T prior to planned radical prostatectomy (RP). Immune infiltrates in RP specimens (posttreatment) and in paired pretreatment biopsies were evaluated by immunohistochemistry (IHC). Correlations between circulating immune response and IHC were assessed using Spearman rank order.ResultsOf the 42 enrolled patients, 37 were evaluable. Adverse events were primarily transient, mild-to-moderate and infusion related. Patients developed T cell proliferation and interferon-γ responses detectable in the blood following treatment. Furthermore, a greater-than-three-fold increase in infiltrating CD3(+), CD4(+) FOXP3(-), and CD8(+) T cells was observed in the RP tissues compared with the pretreatment biopsy (binomial proportions: all P < .001). This level of T cell infiltration was observed at the tumor interface, and was not seen in a control group consisting of 12 concurrent patients who did not receive any neoadjuvant treatment prior to RP. The majority of infiltrating T cells were PD-1(+) and Ki-67(+), consistent with activated T cells. Importantly, the magnitude of the circulating immune response did not directly correlate with T cell infiltration within the prostate based upon Spearman's rank order correlation.ConclusionsThis study is the first to demonstrate a local immune effect from the administration of sipuleucel-T. Neoadjuvant sipuleucel-T elicits both a systemic antigen-specific T cell response and the recruitment of activated effector T cells into the prostate tumor microenvironment

A Design Methodology for Sensing-Ready Concentric Rings-Based Chipless RFID Tags With Effective Spectrum Use and High Coding Capacity

This paper introduces an innovative strategy for the development of sensing-ready concentric rings-based chipless radio frequency identification (CRFID) tags. Our approach is marked by the novel use of exponentially increasing spacing, a significant departure from the conventional uniform spacing method. This innovative design results in an impressive 88.2% improvement in tag data encoding capacity compared to traditional designs. Importantly, our design framework not only advances the current state of CRFID tag technology but also methodically lays the foundation for future integration of high-resolution sensing capabilities. This is achieved by strategically utilizing the innermost ring as a prospective sensing site, complemented by the implementation of nulls for data encoding achieved through the addition of an extra ring at the tag’s outermost edge. Notably, all these features represent advancements that have not been demonstrated in previously published concentric rings-based CRFID tags. To empirically validate our methodology, we have developed and tested 18-bit example tags optimized for operation within the ultrawideband (UWB) spectrum, covering a range from 3.1 to 10.6 GHz. The radar cross-section (RCS) response of these tags exhibits well-distributed resonances, culminating in a high encoding capacity of 17.65 bits/λ2/GHz. Preliminary results using capacitors connected to the innermost ring underscore the future sensing potential of our tags, setting the stage for more advanced sensing implementations in subsequent research