215 research outputs found

    JAVA INSTRUMENTATION OPTIMIZATION TECHNIQUES

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    Techniques are described herein for reducing overhead, risk, and code maintenance for Java® instrumentation required to monitor customer-facing applications. These techniques avoid transforms and retransforms, thereby eliminating risk and overhead as there are no transformers registered with the Java Virtual Machine (JVM). This may use the same call mechanism as a typical transform, and therefore requires no code changes in instrumentation. The dummy transform may always obtain a real class (not a null) that has not been initialized. Thus, a user may add a static block or other one-time-only objects. These techniques are also portable, because the only hook is in the core JVM classloader, and compact, because very little code is required for the agent itself

    APP-CENTRIC DISTRIBUTED MESSAGING BUS FOR PERFORMANCE MONITORING

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    A novel messaging system simplifies integration of dissimilar devices and instrumentation to enable a distributed application performance intelligence

    Precise Frequency Control of the Voltage Controlled Oscillator Using Finite Digital Word Lengths

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    For an oscillator that is periodically swept in frequency between some upper and lower bound, the output amplitude may easily be made constant and therefore known with a high degree of certainty. The instantaneous frequency exists only at a point in time and therefore possesses a zero probability of existing at any point. This thesis deals with the development of a method for interchanging the probability density functions of amplitude and frequency so that the latter becomes known with certainty while the former is known only to the extent that it is within a certain range. The method developed makes practical the use of the fast tuned voltage controlled oscillator as the local oscillator in a frequency scanning superheterodyne receiver. Exact frequency is expressed by a digital word of finite bit length that, in actuality, expresses the value of a quantized amplitude variable whose quantized value represents a precise frequency. Because of the interrelationship of amplitude, frequency, and time through the Fourier Transform, functions of these variables are also interrelated suggesting the possibility that the original certainty of amplitude information may be traded with the original uncertainty of frequency information. The success of the method presented makes use of the precise knowledge of the frequencies of the sidebands generated by the angle modulation process rather than make direct use of the instantaneous frequency. After mathematical development, a design example addresses the actual frequency range in the microwave region where the scanning superheterodyne receiver finds military application. To demonstrate the concept of precise frequency control with words of finite length, a practical frequency model is designed and constructed by scaling megahertz to hertz. Extensive use is made of monolithic waveform generators, balanced mixers, and operational amplifiers used as active filters and time domain summers. All assemblies within the model have practical microwave counterparts. Time and frequency domain waveforms are observed at virtually every major point of the model corresponding to the functional block interfaces and are compared with the mathematical predictions. The ultimate goal of precise frequency selection as a function of an imprecise independent variable is also obtained with the aid of a spectrum analyzer and dual trace oscilloscope. The causes of less than optimum signal level separation of adjacent discrete frequencies are analyzed in a qualitative manner. Reasons for the ineffectiveness of a quantitative critique are also presented. Experimental results, however, are demonstrated proof of the feasibility of the concept of exchanging probability density functions of related variables and that refinement is the only ingredient missing to render the fast scan VCO a useful local oscillator

    PREVENTING DATA LEAKS FROM APPLICATION SCREEN-SHARING

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    According to a recent and comprehensive analysis of information security breaches, 23% of attacks are attributable to internal instances. Presented herein are techniques for protecting businesses against the sharing of confidential information within applications with unauthorized meeting participants. In particular, techniques presented herein restrict screen sharing of confidential information by preventing confidential content from being displayed on an unauthorized user’s endpoint device during a collaboration session

    Evaluation of polygenic risk scores for breast and ovarian cancer risk prediction in BRCA1 and BRCA2 mutation carriers

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    Background: Genome-wide association studies (GWAS) have identified 94 common single-nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk and 18 associated with ovarian cancer (OC) risk. Several of these are also associated with risk of BC or OC for women who carry a pathogenic mutation in the high-risk BC and OC genes BRCA1 or BRCA2. The combined effects of these variants on BC or OC risk for BRCA1 and BRCA2 mutation carriers have not yet been assessed while their clinical management could benefit from improved personalized risk estimates. Methods: We constructed polygenic risk scores (PRS) using BC and OC susceptibility SNPs identified through population-based GWAS: for BC (overall, estrogen receptor [ER]-positive, and ER-negative) and for OC. Using data from 15 252 female BRCA1 and 8211 BRCA2 carriers, the association of each PRS with BC or OC risk was evaluated using a weighted cohort approach, with time to diagnosis as the outcome and estimation of the hazard ratios (HRs) per standard deviation increase in the PRS. Results: The PRS for ER-negative BC displayed the strongest association with BC risk in BRCA1 carriers (HR = 1.27, 95% confidence interval [CI] = 1.23 to 1.31, P = 8.2 x 10(53)). In BRCA2 carriers, the strongest association with BC risk was seen for the overall BC PRS (HR = 1.22, 95% CI = 1.17 to 1.28, P = 7.2 x 10(-20)). The OC PRS was strongly associated with OC risk for both BRCA1 and BRCA2 carriers. These translate to differences in absolute risks (more than 10% in each case) between the top and bottom deciles of the PRS distribution; for example, the OC risk was 6% by age 80 years for BRCA2 carriers at the 10th percentile of the OC PRS compared with 19% risk for those at the 90th percentile of PRS. Conclusions: BC and OC PRS are predictive of cancer risk in BRCA1 and BRCA2 carriers. Incorporation of the PRS into risk prediction models has promise to better inform decisions on cancer risk management

    BRCA2 polymorphic stop codon K3326X and the risk of breast, prostate, and ovarian cancers

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    Background: The K3326X variant in BRCA2 (BRCA2*c.9976A>T; p.Lys3326*; rs11571833) has been found to be associated with small increased risks of breast cancer. However, it is not clear to what extent linkage disequilibrium with fully pathogenic mutations might account for this association. There is scant information about the effect of K3326X in other hormone-related cancers. Methods: Using weighted logistic regression, we analyzed data from the large iCOGS study including 76 637 cancer case patients and 83 796 control patients to estimate odds ratios (ORw) and 95% confidence intervals (CIs) for K3326X variant carriers in relation to breast, ovarian, and prostate cancer risks, with weights defined as probability of not having a pathogenic BRCA2 variant. Using Cox proportional hazards modeling, we also examined the associations of K3326X with breast and ovarian cancer risks among 7183 BRCA1 variant carriers. All statistical tests were two-sided. Results: The K3326X variant was associated with breast (ORw = 1.28, 95% CI = 1.17 to 1.40, P = 5.9x10- 6) and invasive ovarian cancer (ORw = 1.26, 95% CI = 1.10 to 1.43, P = 3.8x10-3). These associations were stronger for serous ovarian cancer and for estrogen receptor–negative breast cancer (ORw = 1.46, 95% CI = 1.2 to 1.70, P = 3.4x10-5 and ORw = 1.50, 95% CI = 1.28 to 1.76, P = 4.1x10-5, respectively). For BRCA1 mutation carriers, there was a statistically significant inverse association of the K3326X variant with risk of ovarian cancer (HR = 0.43, 95% CI = 0.22 to 0.84, P = .013) but no association with breast cancer. No association with prostate cancer was observed. Conclusions: Our study provides evidence that the K3326X variant is associated with risk of developing breast and ovarian cancers independent of other pathogenic variants in BRCA2. Further studies are needed to determine the biological mechanism of action responsible for these associations
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