562 research outputs found

    Generation of mechanical oscillation applicable to vibratory rate gyroscopes

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    To achieve a drive-axis oscillation with improved frequency and amplitude stability, additional feedback loops are used to adjust force-feedback loop parameters. An amplitude-control loop measures oscillation amplitude, compares this value to the desired level, and adjusts damping of the mechanical sense-element to grow or shrink oscillation amplitude as appropriate. A frequency-tuning loop measures the oscillation frequency, compares this value with a highly stable reference, and adjusts the gain in the force-feedback loop to keep the drive-axis oscillation frequency at the reference value. The combined topology simultaneously controls both amplitude and frequency. Advantages of the combined topology include improved stability, fast oscillation start-up, low power consumption, and excellent shock rejection

    Microfabricated structures with electrical isolation and interconnections

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    The invention is directed to a microfabricated device. The device includes a substrate that is etched to define mechanical structures at least some of which are anchored laterally to the remainder of the substrate. Electrical isolation at points where mechanical structures are attached to the substrate is provided by filled isolation trenches. Filled trenches may also be used to electrically isolate structure elements from each other at points where mechanical attachment of structure elements is desired. The performance of microelectromechanical devices is improved by 1) having a high-aspect-ratio between vertical and lateral dimensions of the mechanical elements, 2) integrating electronics on the same substrate as the mechanical elements, 3) good electrical isolation among mechanical elements and circuits except where electrical interconnection is desired

    Using Hallucinations to Bypass GPT4's Filter

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    Large language models (LLMs) are initially trained on vast amounts of data, then fine-tuned using reinforcement learning from human feedback (RLHF); this also serves to teach the LLM to provide appropriate and safe responses. In this paper, we present a novel method to manipulate the fine-tuned version into reverting to its pre-RLHF behavior, effectively erasing the model's filters; the exploit currently works for GPT4, Claude Sonnet, and (to some extent) for Inflection-2.5. Unlike other jailbreaks (for example, the popular "Do Anything Now" (DAN) ), our method does not rely on instructing the LLM to override its RLHF policy; hence, simply modifying the RLHF process is unlikely to address it. Instead, we induce a hallucination involving reversed text during which the model reverts to a word bucket, effectively pausing the model's filter. We believe that our exploit presents a fundamental vulnerability in LLMs currently unaddressed, as well as an opportunity to better understand the inner workings of LLMs during hallucinations

    International Courts and the Crime of Genocide

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    En este trabajo realizo un análisis jurídico de los elementos constitutivos (tanto subjetivos como objetivos) del crimen de genocidio, tal y como han sido interpretados y aplicados por la jurisprudencia internacional. En concreto, se estudia la jurisprudencia de la Corte Internacional de Justicia, del Tribunal Internacional Penal para la antigua Yugoslavia y del Tribunal Internacional Penal para Ruanda sobre el crimen de genocidio

    School connectedness and high school graduation among maltreated youth

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    Maltreated youth have higher rates of school dropout than their non-maltreated peers. School connectedness is a modifiable predictor of school success. We hypothesized maltreated youth’s school connectedness (supportive relationships with adults at school and participation in school clubs) would be positively associated with high school graduation. We included youth with at least one Child Protective Services (CPS) report by age twelve from Longitudinal Studies of Child Abuse and Neglect, a prospective cohort study. Participation in extracurricular activities and adult relationships reported at age 16, high school graduation/General Education Development (GED) status reported at age 18, and demographics were provided by youth and caregivers. Maltreatment data were coded from CPS records. The outcome was graduation/receipt of GED. Multivariable logistic regressions examined the association between school connectedness and graduation/receipt of GED, controlling for confounders. In our sample of 318 maltreated youth, 73.3% graduated. School club was the only activity with a statistically significant association with graduation in bivariate analysis. Supportive relationships were not significantly associated with graduation, though only 10.7% of maltreated youth identified supportive relationships with adults at school. Maltreated youth who participated in school clubs had 2.54 times the odds of graduating, adjusted for study site, gender, poverty status, caregiver high school graduation status, and age at first CPS report (95% CI: [1.02, 6.33]). Few maltreated youth reported relationships with adults at school, and additional efforts may be needed to support these vulnerable youth. School club participation may represent an opportunity to modify maltreated youth’s risk for school dropout.2019-06-09T00:00:00

    A database application for pre-processing, storage and comparison of mass spectra derived from patients and controls.

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    BACKGROUND: Statistical comparison of peptide profiles in biomarker discovery requires fast, user-friendly software for high throughput data analysis. Important features are flexibility in changing input variables and statistical analysis of peptides that are differentially expressed between patient and control groups. In addition, integration the mass spectrometry data with the results of other experiments, such as microarray analysis, and information from other databases requires a central storage of the profile matrix, where protein id's can be added to peptide masses of interest. RESULTS: A new database application is presented, to detect and identify significantly differentially expressed peptides in peptide profiles obtained from body fluids of patient and control groups. The presented modular software is capable of central storage of mass spectra and results in fast analysis. The software architecture consists of 4 pillars, 1) a Graphical User Interface written in Java, 2) a MySQL database, which contains all metadata, such as experiment numbers and sample codes, 3) a FTP (File Transport Protocol) server to store all raw mass spectrometry files and processed data, and 4) the software package R, which is used for modular statistical calculations, such as the Wilcoxon-Mann-Whitney rank sum test. Statistic analysis by the Wilcoxon-Mann-Whitney test in R demonstrates that peptide-profiles of two patient groups 1) breast cancer patients with leptomeningeal metastases and 2) prostate cancer patients in end stage disease can be distinguished from those of control groups. CONCLUSION: The database application is capable to distinguish patient Matrix Assisted Laser Desorption Ionization (MALDI-TOF) peptide profiles from control groups using large size datasets. The modular architecture of the application makes it possible to adapt the application to handle also large sized data from MS/MS- and Fourier Transform Ion Cyclotron Resonance (FT-ICR) mass spectrometry experiments. It is expected that the higher resolution and mass accuracy of the FT-ICR mass spectrometry prevents the clustering of peaks of different peptides and allows the identification of differentially expressed proteins from the peptide profiles
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