Low-temperature, high-resolution magnetic force microscopy using a quartz tuning fork

We have developed a low temperature, high resolution magnetic force microscope (MFM) using a quartz tuning fork that can operate in a magnetic field. A tuning fork with a spring constant of 1300 N/m mounted with a commercial MFM cantilever tip was used. We have obtained high resolution images of the stray magnetic fields exerted from grains with a spatial resolution of 15 nm and force resolution of 2 pN at 4.2 K. Tuning fork based magnetic force microscopes have the potential to be used at millikelvin temperatures due to their low power dissipation and high force sensitivity.Comment: 3page

Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction

We tackle image question answering (ImageQA) problem by learning a convolutional neural network (CNN) with a dynamic parameter layer whose weights are determined adaptively based on questions. For the adaptive parameter prediction, we employ a separate parameter prediction network, which consists of gated recurrent unit (GRU) taking a question as its input and a fully-connected layer generating a set of candidate weights as its output. However, it is challenging to construct a parameter prediction network for a large number of parameters in the fully-connected dynamic parameter layer of the CNN. We reduce the complexity of this problem by incorporating a hashing technique, where the candidate weights given by the parameter prediction network are selected using a predefined hash function to determine individual weights in the dynamic parameter layer. The proposed network---joint network with the CNN for ImageQA and the parameter prediction network---is trained end-to-end through back-propagation, where its weights are initialized using a pre-trained CNN and GRU. The proposed algorithm illustrates the state-of-the-art performance on all available public ImageQA benchmarks

Irrigation Technology Adoption in the Texas High Plains: A Real Options Approach

Water scarcity has been a significant issue for several decades in the Texas High Plains, with agriculture identified as the main activity contributing to this scarcity. To address this issue, much effort has been devoted to developing and encouraging adoption of sophisticated irrigation systems with high levels of water application efficiency, such as the low energy precision application (LEPA) system, subsurface drip irrigation (SDI), and variable rate irrigation (VRI). In this study, the economic feasibility of these irrigation systems is evaluated in cotton farming in the Texas High Plains using a real options approach. Results find that only the LEPA system is profitable under current conditions. The VRI system is profitable with high cotton prices (above $0.72/lb), while SDI is not profitable under any conditions explored.Resource /Energy Economics and Policy,

EFFECT OF REVENUE INSURANCE ON ENTRY AND EXIT DECISIONS IN TABLE GRAPE PRODUCTION: A REAL OPTION APPROACH

This study determines the entry and exit thresholds of table grape farming with irreversible investment under uncertainty. Real option approach is adopted to consider the investment and management flexibility. Also revenue insurance is introduced to consider the effect of the risk management programs on the entry and exit thresholds. Results show that revenue insurance increases the entry and exit thresholds by 1% and 4%, respectively, thus discouraging new investment and current farming, as long as the revenue guarantee is less than the exit threshold. Revenue insurance increases the entry threshold by 3% and decreases the exit threshold by 13% as long as the revenue guarantee is greater than the exit threshold. In this case, revenue insurance discourages the investment and encourages the current farmer to stay in farming, further. However, the decrease in the subsidy rate results in the increase in both entry and exit thresholds. Thus, the premium subsidy levels should be carefully considered if the policy objective is to encourage growers to shift to higher-value crops.Risk and Uncertainty,

Spatially translatable optical fiber-coupled heterodyne interferometer

An interferometer is a useful diagnostic tool for measuring line-averaged electron density but is limited in its use because it generally measures at a fixed location. We report here a spatially translatable fiber-coupled interferometer that measures the density of a high-speed MHD-driven plasma jet colliding with a target cloud. The interferometer uses a He–Ne laser coupled to a polarization-maintaining single mode optical fiber having a vacuum feedthrough. The interferometer provides a measure of the spatial-temporal profile of the line-averaged electron density from which the change in jet velocity as a result of its collision with the target cloud can be deduced