Why did Hannah Arendt Reject the Partition of Palestine?

ERIC JACOBSON, JOURNAL FOR CULTURAL RESEARCH, 201

Comparison of the Batch and Individual Log Study Methods for use in Determining Log Breakeven Pricing

Understanding log yields and overrun is critical to a profitable sawmill operation. Lumber yield and overrun data can be gathered through one of two types of sawmill studies: batch studies or individual log studies. Little to no research has previously been conducted to determine if one method provides more reliable results than the other method. For this effort, 16 batch studies were conducted. Individual log studies were also conducted on the same logs, allowing a direct comparison of the results from both study types. A breakeven analysis was conducted for each study type, which determined the amount of variability in breakeven prices generated from the two types of sawmill studies. Results show that batch compositions were quite variable, leading to unreliable breakeven pricing results. The individual log study method provided more reliable lumber yield and overrun results, leading to more reliable breakeven pricing results

Strategy for Mitigating Collision Between Landsat-5 and the Afternoon Constellation

The NASA Goddard Space Flight Center Earth Science Mission Operations project, the French space agency Centre National d tudes Spatiales, the Argentinian space agency Comisi n Nacional de Actividades Espaciales, and the United States Geological Survey all operate spacecraft in sun-synchronous frozen orbits. The orbits are planned to not place any of the spacecraft at risk of colliding with another. However, evolution of these orbits over time has com-promised the safe interaction between Landsat-5 and the Afternoon Constella-tion. This paper analyzes the interactions between the Landsat-5 spacecraft and the Afternoon Constellation members over a period of 6 years, describing the current risk and plan to mitigate collisions in the future

Machine Learning-Derived Entanglement Witnesses

In this work, we show a correspondence between linear support vector machines (SVMs) and entanglement witnesses, and use this correspondence to generate entanglement witnesses for bipartite and tripartite qubit (and qudit) target entangled states. An SVM allows for the construction of a hyperplane that clearly delineates between separable states and the target entangled state; this hyperplane is a weighted sum of observables (`features') whose coefficients are optimized during the training of the SVM. In contrast to other methods such as deep neural networks, the training of an SVM is a convex optimization problem and always yields an `optimal' solution. We demonstrate with this method the ability to obtain witnesses that require only local measurements even when the target state is a non-stabilizer state. Furthermore, we show that SVMs are flexible enough to allow us to rank features, and to reduce the number of features systematically while bounding the inference error. This programmatic approach will allow us to streamline the detection of entangled states in experiment.Comment: 6 page

Black ring deconstruction

We present a sample microstate for a black ring in four and five dimensional language. The microstate consists of a black string microstate with an additional D6-brane. We show that with an appropriate choice of parameters the piece involving the black string microstate falls down a long AdS throat, whose M-theory lift is AdS_3 x S2. We wrap a spinning dipole M2-brane on the S2 in the probe approximation. In IIA, this corresponds to a dielectric D2-brane carrying only D0-charge. We conjecture this is the firstapproximation to a cloud of D0-branes blowing up due to their non-abelian degrees of freedom and the Myers effect