125 research outputs found
Modeling and Analysis of High Frequency Noise in Bicmos Transistors
No full textThe importance of high frequency noise performance is increasing in advanced bipolar and
complementary metal-oxide semiconductor (BiCMOS) technologies because of the high demands
of radio frequency (RF) and mixed-signal integrated circuits used in the 5G communication,
automatic-driving sensors and internet of things (IOT) applications. While the characterization and
modeling of high frequency noise of BiCMOS transistors have been a topic for many years, some
important issues have not been clarified. For example, the noise correlation is not well predicted
for bipolar devices, the excess noise factor is not well understood for MOSFET devices and the
temperature dependence of high frequency noise in BiCMOS devices is not well studied. Focused
on these issues, this research establishes the approach to extract the noise transit time from the
high current compact model (HICUM), demonstrates an efficient methodology for high frequency
noise prediction for silicon-germanium heterojunction bipolar transistors (SiGe HBTs) and
validates the prediction methodology over size, bias and temperature.
One of the issues of high frequency noise modeling of bipolar transistors is the noise correlation
effect. This research explores the physical origin of high frequency noise correlation, studies the
noise model of SiGe HBTs and creates an approach to extract the noise transit time from the
HICUM compact model. The extracted noise transit time is validated by the tuner-based noise
measurement results of sample SiGe HBTs by comparing the four noise parameters between the
calculated and measured data over transistor size, bias and temperature. The results show that the
noise transit time can be independent of frequency but dependent on bias and temperature.
Furthermore, a complete high frequency noise prediction system is established.
Based on the extraction methodology of the noise transit time from the HICUM model, this
dissertation demonstrates a low-cost and time-friendly methodology to predict the full high
frequency noise properties of the bipolar devices directly from the S-parameter measurement, DC
measurement and the parameters from the HICUM model without the tuner-based noise
measurement. Compared with the conventional tuner-based noise measurement, this methodology
can save the measurement time as well as achieve a good accuracy.
For MOSFET devices, the importance of excess noise factor is increasing with the transistor size
scaling down to sub-100nm for high frequency noise modeling, but it has not been well studied so
far. This research analyzes the excess noise factor based on the device physics and characterization
results, investigates the noise sources contribution and models the high frequency noise based on
Y-parameter methodology
Abstract P3-05-09: Prognostic factors for therapeutic personalized peptide vaccines in patients with metastatic recurrent breast cancer
No full textAbstract
Background: We have previously reported the prognostic role of humoral antigen spreading response against prostate-related antigen (PRA) for metastatic recurrent breast cancer (mrBC) patients who received personalized peptide vaccine (PPV) therapy (Toh U, SABCS 2015). The prognostic effect was additionally evaluated by the clinical relevant factors including intrinsic subtype, the regimens of combined chemo-hormonal therapies in present study.
Methods:We analyzed serum IgG responses to all of the peptide candidates included PRAs (PSA, PAP and PMSA) after PPV therapy by the Luminex systemusing peripheral blood samples from 77 vaccinated mrBC patients. The clinical factors and relevant events were statistically evaluated.
Results: After 6 and 12cycles of PPV therapy, the serum IgG of anti-PSA, anti-PAP, and/or anti-PMSA increased significantly in 31 patients (PRA response group), and the median progression free survival (PFS) and median overall survival (OS) were 8.1 and 14.3 months, but were 5.1 and 10.8 months, respectively, in the remaining 46 patients with no anti-PRA IgG response (PRA non-response Group). The anti-PRA IgG level was marginally correlated withPFS (p=0.059) and OS (p=0.082) between these two groups, which was a significant prognostic factor for PFS (Log-rank: 0.009) in estrogen-positive cancer patients (ER+). The statistical analyses showed that the clinical outcome was in favor of > 60 year-old patients, those with longer PPV therapies (>3 months), and those who received combined standard hormonal therapies or bisphosphonate/anti-RANKL therapy.
Conclusions: This study indicated a clinical significance between the pre-and post- PPV therapy measurement of serum anti-PRA IgG in patients with mrBC, which may be a useful prognostic marker for monitoring peptide vaccine treatment outcomes, particularly for patients > 60 years with ER+ breast cancer. These results also suggest that the immunotherapeutic peptide vaccine could be efficiently combined with hormonal therapy, anti-HER2 therapy, and bisphosphonate/anti-RANKL therapy in mrBC patients.
Citation Format: Toh U, Saku S, Iwakuma N, Takao Y, Okabe M, Akashi M, Yamada A, Shichijo S, Itoh K, Akagi Y. Prognostic factors for therapeutic personalized peptide vaccines in patients with metastatic recurrent breast cancer [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P3-05-09.</jats:p
Anti-Allergic Cromones Inhibit Histamine and Eicosanoid Release from Activated Human and Murine Mast Cells by Releasing Annexin A1
No full textPMCID: PMC3601088This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
ChemInform Abstract: Ruthenium Complex Catalyzed Condensation of Nitriles with Alcohols.
No full textSpatial Clustering of Housing Construction in the Tokyo Metropolitan Area: An Application of Spatially Clustered Fixed-Effects and Spatially Correlated Random-Effects Models
No full textWe proposed two types of econometric models, a spatially clustered fixed-effects model (SCFEM) and a spatially correlated random-effects model (SCREM), to examine area-based panel data. We investigate what factors influence housing construction in the Tokyo Metropolitan Area, incorporating unobservable factors, local regulatory differences in housing development and spillovers of local public or private goods, which may cause spatial clustering or correlation of housing construction. The SCFEM is a type of fixed-effects model where a cluster has the same effects, so that we have to find which areas constitute a cluster. The issue of finding clusters can be regarded as a problem of model selection from too many possible models. We adopt an aggregate prediction error as a model selection criterion, which is estimated by a resampling method, namely leave-one-out cross-validation. We showed by simulations that the estimated parameters of concern are more efficient than the within estimates. The SCREM is a model where the random-effects are spatially correlated. We use the concentrated maximum likelihood method for the estimation. The unobservable area-effects are large in the east, west and north areas of the TMA but small in the south, where regulations against development are more severe than in the other areas. Clusters are found in huge citiescluster-effects model, housing construction, area-based panel data, spatial correlation, spillover effects
Sart-3 Functions to Regulate Germline Sex Determination in C Elegans
No full textCaenorhabditis elegans gene sart-3 was first identified as the homolog of human SART3 ( S quamous cell carcinoma A ntigen R ecognized by T -cells 3). In humans, expression of SART3 is associated with squamous cell carcinoma, thus most of the studies focus on its potential role as a target of cancer immunotherapy (Shichijo et al. 1998; Yang et al. 1999). Furthermore, SART3 is also known as Tip110 (Liu et al. 2002; Whitmill et al. 2016) in the context of HIV virus host activation pathway. Despite these disease related studies, the molecular function of this protein was not revealed until the yeast homolog was identified as spliceosome U4/U6 snRNP recycling factor (Bell et al. 2002). The function of SART3 in development, however, remains unknown. Here we report that the C. elegans sart-3 mutant hermaphrodites exhibit a Mog ( M asculinization O f the G ermline) phenotype in adulthood suggesting that sart-3 normally functions to regulate the switch from spermatogenic to oogenic gametic sex
Efficacy of triple therapy with esomeprazole, amoxicillin, and sitafloxacin as a third-line Helicobacter pylori eradication regimen
No full textSummaryObjectiveTo examine the efficacy of third-line Helicobacter pylori eradication therapy with esomeprazole, amoxicillin, and sitafloxacin for patients with clarithromycin- and metronidazole-based first- and second-line therapy failure.MethodsThirty patients with first- and second-line H. pylori eradication failure were treated prospectively with esomeprazole 20mg twice daily, amoxicillin 750mg twice daily, and sitafloxacin 100mg twice daily for 7 days. After 8–12 weeks, the outcome of eradication therapy was assessed by 13C-urea breath test or stool antigen test.ResultsAll 30 patients completed the study. Eradication was successful in 25 patients and the eradication rate was 83% in the intention-to-treat and per-protocol analyses. No specific or significant adverse events were recorded in the 30 patients. Patient characteristics such as sex, body mass index, and pepsinogen I/II ratio did not differ between patients who were treated successfully and those who were not treated successfully.ConclusionsThird-line H. pylori eradication therapy with esomeprazole, amoxicillin, and sitafloxacin is as safe and effective as previously reported sitafloxacin-based triple therapy
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