7,617 research outputs found
I Sh*T You Not
No full textI Sh*t You Not is an exercise in edutainment intended to instill feelings of skepticism and curiosity in its players when confronted with attention-grabbing headlines. Developed as an amusing answer to the fake news epidemic, this game can be played with up to four players in a head-to-head assessment of each other\u27s evaluation skills
Control of electron density and temperature with a modified capacitive discharge
No full textWe propose a new type of capacitive plasma source with a mesh grid to solve the problems of previous low pressure discharges, the inability to control the electron density and temperature independently, i.e. just one value of electron temperature is possible for a given electron density. While varying the grid bias and the discharge current, various electron temperatures are possible for a given electron density, and the electron density and temperature can be controlled from 4 x 10(8) cm(-3) to 1 x 10(10) cm(3) and from 1 to 4 eV, respectively
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Sh*t no one tells you about law school /
No full text"Irreverent. Fun. Honest. Words never before used to describe a book intended for law students-until now. Sh*t No One Tells You About Law School offers law students a compilation of advice culled from the author's fifteen years of teaching experience. Think Jessica Pearson meets Carrie Bradshaw-shoe closet included! This book is a tell-it-like-it-is account of how students can successfully navigate the law school experience (minus the boring stuff). Written for today's law student, this book goes far beyond the run-of-the-mill "here's how you case brief" and "read cases carefully" advice. Expect to be both motivated and entertained by the author's practical, hands-on guidance. Professor Tanya Monestier is a tenured law professor who teaches Contracts, Sales, and Conflict of Laws. She was a first-generation student who kicked a** in law school and who wants to help you do the same"-
Electron and ion kinetics in magnetized capacitively coupled plasma source
No full textOne-dimensional particle-in-cell Monte Carlo collision simulations of magnetized argon plasmas in an asymmetric capacitively coupled plasma reactor are presented. At low pressure (10 mTorr), electron kinetics are strongly affected by the magnetic field and transitions from nonlocal to local kinetic property occur with increasing magnetic field which are reflected in spatially resolved calculations of the electron-energy probability function. For high-energy electrons, the transition takes place when the energy-relaxation length is smaller than the system length. For low-energy electrons, however, the transition occurs when the electron-diffusion time scale in the energy space is shorter than the spatial-diffusion time scale in coordinate space. These observations are in agreement with experimental data and theoretical calculations deduced from the Boltzmann equation. The ion energy distribution function (IEDF) on the driven electrode changes from the ion-neutral collisional type to the ion-neutral collisionless type with increasing magnetic field strength. The maximum ion energy in the IEDF decreases and the angular spread in the ion angle distribution function slightly increases with increasing magnetic field strength. These changes are explained in terms of the ratio of the ion-transit time to rf frequency, the sheath length, and the mean potential difference between the driven electrode and the plasma. At high pressure (218 mTorr), electron-neutral collisions disrupt electron gyromotion so that the effects of the magnetic field on electron and ion kinetics are greatly reduced. (C) 2007 American Vacuum Society
Statistically optimal estimation of surface mass anomalies by directly using GRACE level-2 spherical harmonic coefficients as measurements
No full textPoint-mass inversion is widely employed in GRACE level-2 data processing. Conventionally, the spherical harmonic (SH) coefficients are used indirectly: a set of pseudo measurements is generated first using the SH coefficients through SH synthesis; then the point-mass inversion is done with these pseudo measurements. To be statistically optimal, the covariance matrix of pseudo measurements should be calculated and used to appropriately weigh the parameter estimation. In this work, we propose a statistically optimal point-mass inversion scheme by directly using the SH coefficients as measurements. We prove the equivalence between this direct approach and the conventional indirect approaches. We also demonstrated their comparable performance through both simulation and real GRACE data processing. Choosing and calculating pseudo measurements, propagating covariance matrix, and potentially dealing with the singularity of the covariance matrix involved in the conventional indirect approaches are avoided in the proposed direct approach. This statistically optimal direct approach can readily be employed in mascon inversion of GRACE data and other radial basis functions-based approaches in regional gravity modeling.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Physical and Space Geodes
Trade-off between ordinary differential equation and Legendre polynomial methods to study guided modes in angle-ply laminate
No full textIt has been shown that the roots of guided waves in laminate plates produced by the ordinary differential equations (ODE) approach may not hold under to some computational conditions. A particular drawback of the 2D formulation of the ODE approach is the lack of reliability in the case of unidirectional laminates due to the decoupling properties between the SH and Lamb wave modes, which is caused by the unified matrix of roots. Due to this problem, the SH modes disappear from the unified roots of guided modes, then re-emerge with a separate computation of the SH and Lamb wave modes. Initially, we did not notice this computational “bug” in the event of a coupling between the SH and Lamb wave modes. In this context, the Legendre polynomial method is used to illustrate that fact. Results demonstrate how the polynomial method is pre-eminent to handle the laminate modelling over the ODE method for these specific requirements, however, a trade-off between these two methods needs to be considered to obtain stable and robust behavior of guided dispersion curves. This short study ends with conclusions and future perspectives.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Structural Integrity & Composite
Hyperosmolar therapy response in traumatic brain injury: Explainable artificial intelligence based long-term time series forecasting approach
No full textIn the neurological intensive care setting implementing tier-based therapy, osmotic therapy serves as an intermediate approach for reducing intracranial pressure (ICP). However, discussions regarding quantitative and specific criteria for the maintenance and transition of treatment remain limited. This study proposes an explainable neural network forecasting of physiological responses after osmotic therapy administration for the purpose of treatment guidance. Recordings of arterial blood pressure and intracranial pressure were obtained from 107 patients with traumatic brain injury. To maintain adequate intracranial pressure, arterial blood pressure, and cerebral perfusion pressure, 20 % mannitol (100 ml; no. infusion, 3,571) and 11.3 % hypertonic saline (40 ml; no. infusion, 574) were administered. The LTSF-NLinear model was used to predict the target signal response for the subsequent 1 h. Six prediction models were derived by combining two agents (mannitol or hypertonic saline) and three target signals (mean arterial blood pressure, mean intracranial pressure and cerebral perfusion pressure). To validate the model's robustness while considering patient heterogeneity, group (5)-fold cross-validation was implemented. To assess the predictive ability of the proposed model for adverse clinical events, binary classification of hypotension, intracranial hypertension, and cerebral hypoperfusion was performed. The overall function of the model was elucidated using linear weight visualization. Additionally, the DeepSHAP application allows for a detailed investigation of the prediction process for a single case. The relationship between response to osmotic therapy and patient outcomes was statistically significant. The proposed models achieved reasonable performance, with R2 score > 0.8 for physiological signal predictions and accuracy > 0.9 for event predictions. Through global explanation, the recent values of mean arterial blood pressure, mean intracranial pressure, and cerebral perfusion pressure of input signals significantly influenced physiological responses after osmotic treatment. In the context of local explanation (a single case), it was possible to determine how physiological state influenced the response. The proposed model is expected to provide objective and quantitative information on osmotherapy in neurological intensive care environments, enabling guidance for alternative and aggressive treatments. Thus, it can potentially aid in enhancing the prognosis of patients with traumatic brain injury and improving the clinical workflow. Moreover, the global and local explanations of the proposed model can provide valuable insights for future researchers
Wellesly Sh. W. to Mr. James Meredith (2 October 1962)
No full textSigned by Wellesly Sh. W.https://egrove.olemiss.edu/mercorr_pro/1531/thumbnail.jp
Dose variation and regimen modification of adjuvant chemotherapy in daily practice affect survival of stage I-II and operable stage III Taiwanese breast cancer patients.
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