Sensor data to measure Hawthorne effects in cookstove evaluation.

This data in brief article includes estimated time cooking based on temperature sensor data taken every 30 min from three stone fires and introduced fuel-efficient Envirofit stoves in approximately 168 households in rural Uganda. These households were part of an impact evaluation study spanning about six months to understand the effects of fuel-efficient cookstoves on fuel use and pollution. Daily particulate matter (pollution) and fuelwood use data are also included. This data in brief file only includes the weeks prior to, during, and after an in-person measurement team visited each home. The data is used to analyze whether households change cooking patterns when in-person measurement teams are present versus when only the temperature sensor is in the home

Further evidence for early lunar magnetism from troctolite 76535

The earliest history of the lunar dynamo is largely unknown and has important implications for the thermal state of the Moon and the physics of dynamo generation. The lunar sample with the oldest known paleomagnetic record is the 4.25 billion year old (Ga) troctolite 76535. Previous studies of unoriented subsamples of 76535 found evidence for a dynamo field with a paleointensity of several tens of microteslas. However, the lack of mutual subsample orientation prevented a demonstration that the magnetization was unidirectional, a key property of thermoremanent magnetization. Here we report further alternating field demagnetization on three mutually oriented subsamples of 76535, as well as new pressure remanent magnetization experiments to help rule out shock magnetization. We also describe new 40Ar/39Ar thermochronometry and cosmogenic neon measurements that better constrain the rock's thermal history. Although the rock is unbrecciated, unshocked, and slowly cooled, its demagnetization behavior is not ideal due to spurious remanence acquisition. Despite this limitation, all three subsamples record a high coercivity magnetization oriented in nearly the same direction, implying that they were magnetized by a unidirectional field on the Moon. We find no evidence for shock remanence, and our thermochronometry calculations show no significant reheating events since 4249 ± 12 million years ago (Ma). We infer a field paleointensity of approximately 20–40 μT, supporting the previous conclusion that a lunar dynamo existed at 4.25 Ga. The timing of this field supports an early dynamo powered by thermal or thermochemical core convection and/or a mechanical dynamo but marginally excludes a dynamo delayed by thermal blanketing from radiogenic element-rich magma ocean cumulates

The country girl, a comedy, (altered from Wycherley) as it is acted at the Theatre-Royal in Drury-Lane

[6], 78 p. ; 21 cm. An alteration by Garrick of The country wife

From the Classroom to the Tip of the Spear – Designing a System to Track USMA’s Intellectual Capital

As the world becomes increasingly interconnected and unstable, the US Army’s mission becomes more complex. This reality, when coupled with a smaller force, is increasing the Army’s reliance on foreign partners and its need for non-traditional skills. Given these challenges, deployed units often offset capability gaps using “reachback,” the act of contacting external organizations for critical expertise. Based on recent support to the 1st Infantry Division in Iraq, the United States Military Academy (USMA) possesses considerable reachback potential; however, to fulfill such requests, USMA must first understand its capability and capacity. With this in mind, our research shows that although USMA’s faculty is quite willing to help deployed units, no formalized process exists to catalogue and leverage its collective intellectual capital. As such, we identify the requirement for an intuitive system to fill this void, and we develop and analyze several alternative

Genomic Prediction and QTL Mapping Using Bayesian Methods

Several genomic selection methods were applied to a data set that was simulated for the 2010 QTLMAS workshop to predict the genomic breeding values (GEBV) of the offspring generation and to map the QTL. The GEBV had an accuracy of 0.894 with very small bias. QTL were detected based on the variance of 10 SNP windows. Using a threshold chosen for a 10% chromosome-wise type-I error rate, most of the large QTL were successfully detected with few false positives. Results for both prediction of breeding values and detection of QTL were among the best among all analyses of this data set by groups across the globe. Genomic selection method BayesCπ was identified to be appropriate for the 2010 QTLMAS dataset and also applicable to real cases with similar settings

Indium selenide nanowire phase-change memory

Nonvolatile memory device using indium selenide nanowire as programmable resistive element was fabricated and its resistive switching property was studied as functions of electrical pulse width and voltage magnitude. The nanowire memory can be repeatedly switched between high-resistance (similar to 10(11) Omega) and low-resistance (similar to 6x10(5) Omega) states which are attributed to amorphous and crystalline states, respectively. Once set to a specific state, the nanowire resistance is stable as measured at voltages up to 2 V. This observation suggests that the nanowire can be programed into two distinct states with a large on-off resistance ratio of similar to 10(5) with significant potential for nonvolatile information storage

CpG binding protein (CFP1) occupies open chromatin regions of active genes, including enhancers and non-CpG islands.

Funding This work was supported by a University of Edinburgh Chancellor’s Fellowship to Douglas Vernimmen and by Institute Strategic Grant funding to the Roslin Institute from the BBSRC [BB/J004235/1] and [BB/P013732/1]. Louie N. van de Lagemaat was supported by Roslin Institute funding to Douglas Vernimmen. We are very grateful to Zhanyun Tang and Bob Roeder for the CFP1 antibody. We would like to thank our colleagues Alan Archibald, Philipp Voigt and Duncan Sproul for critically reading the manuscript. We also thank Jim Hughes for curating data sets obtained in Oxford. High-throughput sequencing was provided by the Oxford Genomics Centre (http://www.well.ox.ac.uk/ogc/ home/) and Edinburgh Genomics (http://genomics.ed.ac.uk).Peer reviewe

Applying machine learning optimization methods to the production of a quantum gas

We apply three machine learning strategies to optimize the atomic cooling processes utilized in the production of a Bose-Einstein condensate (BEC). For the first time, we optimize both laser cooling and evaporative cooling mechanisms simultaneously. We present the results of an evolutionary optimization method (Differential Evolution), a method based on non-parametric inference (Gaussian Process regression) and a gradient-based function approximator (Artificial Neural Network). Online optimization is performed using no prior knowledge of the apparatus, and the learner succeeds in creating a BEC from completely randomized initial parameters. Optimizing these cooling processes results in a factor of four increase in BEC atom number compared to our manually-optimized parameters. This automated approach can maintain close-to-optimal performance in long-term operation. Furthermore, we show that machine learning techniques can be used to identify the main sources of instability within the apparatus.Comment: 19 pages, 7 figures, 1 tabl

Universal scaling of the dynamic BKT transition in quenched 2D Bose gases

While renormalization group theory is a fully established method to capture equilibrium phase transitions, the applicability of RG theory to universal non-equilibrium behavior remains elusive. Here we address this question by measuring the non-equilibrium dynamics triggered by a quench from superfluid to thermal phase across the Berezinskii-Kosterlitz-Thouless transition in a 2D Bose gas. We quench the system by splitting the 2D gas in two and probe the relaxation dynamics by measuring the phase correlation function and vortex density via matter-wave interferometry. The dynamics occur via a two-step process of rapid phonon thermalization followed by slow dynamic vortex unbinding. We demonstrate universal scaling laws for the algebraic exponents and vortex density, supported by classical-field simulations, and show their agreement with the real-time RG theory