Anisotropic random resistor networks: a model for piezoresistive response of thick-film resistors

A number of evidences suggests that thick-film resistors are close to a metal-insulator transition and that tunneling processes between metallic grains are the main source of resistance. We consider as a minimal model for description of transport properties in thick-film resistors a percolative resistor network, with conducting elements governed by tunneling. For both oriented and randomly oriented networks, we show that the piezoresistive response to an applied strain is model dependent when the system is far away from the percolation thresold, while in the critical region it acquires universal properties. In particular close to the metal-insulator transition, the piezoresistive anisotropy show a power law behavior. Within this region, there exists a simple and universal relation between the conductance and the piezoresistive anisotropy, which could be experimentally tested by common cantilever bar measurements of thick-film resistors.Comment: 7 pages, 2 eps figure

Tversky loss function for image segmentation using 3D fully convolutional deep networks

Fully convolutional deep neural networks carry out excellent potential for fast and accurate image segmentation. One of the main challenges in training these networks is data imbalance, which is particularly problematic in medical imaging applications such as lesion segmentation where the number of lesion voxels is often much lower than the number of non-lesion voxels. Training with unbalanced data can lead to predictions that are severely biased towards high precision but low recall (sensitivity), which is undesired especially in medical applications where false negatives are much less tolerable than false positives. Several methods have been proposed to deal with this problem including balanced sampling, two step training, sample re-weighting, and similarity loss functions. In this paper, we propose a generalized loss function based on the Tversky index to address the issue of data imbalance and achieve much better trade-off between precision and recall in training 3D fully convolutional deep neural networks. Experimental results in multiple sclerosis lesion segmentation on magnetic resonance images show improved F2 score, Dice coefficient, and the area under the precision-recall curve in test data. Based on these results we suggest Tversky loss function as a generalized framework to effectively train deep neural networks

Magnetic phase diagram of the Hubbard model

The competition between commensurate and incommensurate spin-density-wave phases in the infinite-dimensional single-band Hubbard model is examined with quantum Monte Carlo simulation and strong and weak coupling approximations. Quantum fluctuations modify the weak-coupling phase diagram by factors of order unity and produce remarkable agreement with the quantum Monte Carlo data, but strong-coupling theories (that map onto effective Falicov-Kimball models) display pathological behavior. The single-band model can be used to describe much of the experimental data in Cr and its dilute alloys with V and Mn.Comment: 12 pages plus 3 uuencoded postscript figures, ReVTe

Spin and charge excitations in incommensurate spin density waves

Collective excitations both for spin- and charge-channels are investigated in incommensurate spin density wave (or stripe) states on two-dimensional Hubbard model. By random phase approximation, the dynamical susceptibility \chi(q,\omega) is calculated for full range of (q,\omega) with including all higher harmonics components. An intricate landscape of the spectra in \chi(q,\omega) is obtained. We discuss the anisotropy of the dispersion cones for spin wave excitations, and for the phason excitation related to the motion of the stripe line. Inelastic neutron experiments on Cr and its alloys and stripe states of underdoped cuprates are proposed

Risk factors for feline infectious peritonitis in Australian cats

Objective: To determine whether patient signalment (age, breed, sex, and neuter status) are associated with naturally occurring feline infectious peritonitis (FIP) in cats in Australia. Design: A retrospective comparison of the signalment between cats with confirmed FIP and the general cat population. Results: The patient signalment of 382 FIP confirmed cases were compared with the Companion Animal Register of NSW and the general cat population of Sydney. Younger cats were significantly over-represented amongst FIP cases. Domestic crossbred, Persian, and Himalayan cats were significantly under-represented in the FIP cohort while several breeds were over-represented including British Shorthair, Devon Rex, and Abyssinian. A significantly higher proportion of male cats had FIP compared to female cats. Conclusion: This study provides further evidence that FIP is primarily a disease of young cats and that significant breed and sex predilections exist in Australia. This opens further avenues to investigate the role of genetic factors in FIP

Risk factors for feline infectious peritonitis in Australian cats

Objective: To determine whether patient signalment (age, breed, sex, and neuter status) are associated with naturally occurring feline infectious peritonitis (FIP) in cats in Australia. Design: A retrospective comparison of the signalment between cats with confirmed FIP and the general cat population. Results: The patient signalment of 382 FIP confirmed cases were compared with the Companion Animal Register of NSW and the general cat population of Sydney. Younger cats were significantly over-represented amongst FIP cases. Domestic crossbred, Persian, and Himalayan cats were significantly under-represented in the FIP cohort while several breeds were over-represented including British Shorthair, Devon Rex, and Abyssinian. A significantly higher proportion of male cats had FIP compared to female cats. Conclusion: This study provides further evidence that FIP is primarily a disease of young cats and that significant breed and sex predilections exist in Australia. This opens further avenues to investigate the role of genetic factors in FIP

Associations Among Nitrogen Harvest Index and Other Traits Within Two Avena Species

The partitioning efficiency of nitrogen in crop plants is measured via nitrogen harvest index (NHI), which is the ratio of the weights of grain nitrogen to total plant nitrogen. To determine what associations, if any, exist between NHI and other plant traits for oats, 40 Avena sativa lines and 52 A. sterilis collections were studied. Significant variations occurred between and within species for NHI, groat yield (GTY), groat protein percentage (GTP), groat protein yield (GTPY), straw yield (SY), straw protein percentage (SP), total plant protein yield (TPPY), harvest index (HI), and vegetative growth rate (GR). Traits significantly associated with NHI within both Avena species were HI, GTY, GTPY, SP, and heading date (HD). Uptake and partitioning of nitrogen between grain and straw were not related in A. sativa, suggesting that these two phenomena were controlled by separate physiological mechanisms. Total dry matter accumulation and not protein percentage was the major factor influencing protein yields of both grain and straw. NHI was nor correlated with either GTY or GTP in A. sativa, suggesting that selecting for high NHI may break the inverse relationship between GTY and GTP within this species

Nitrogen Harvest Index Variation in Avena Sativa and A. Sterilis

Forty Avena sativa (L.) lines and 28 A. sterilis (L.) collections were evaluated in two nitrogen environments (i.e., low and high) for variation in nitrogen harvest index (NHI). Significant genetic variation for NHI occurred among entries within both species. NHI varied from 25 to 51%, with a mean of 42% for A. sterilis, and from 42 to 67%, with a mean of 59%, for A. sativa. Mean NHI was significantly lower in A. sterilis than in A. sativa. Some adapted entries with introgressed germplasm from A. sterilis had relatively high NHI\u27s, however. Plant traits that were associated with NHI were harvest index (HI), groat yield (GTY), groat protein yield (GTPY), heading date (HD), and straw protein percentage (SP). High nitrogen fertility caused a significant decrease in NHI and HI, significant increases in groat protein percentage (GTP), straw yield (SY), SP, straw protein yield (SPY), total plant protein yield (TPPY), and vegetative growth rate (GR), and no change in GTY and GTPY for A. sativa entries. High nitrogen increased GTP, SY, SP, SPY, TPPY, and GR and decreased NHI and HI in A. sterilis

NMR Evidence for Antiferromagnetic Transition in the Single-Component Molecular Conductor, [Au(tmdt)_{2}] at 110 K

We present the results of a ^{1}H NMR study of the single-component molecular conductor, [Au(tmdt)_{2}]. A steep increase in the NMR line width and a peak formation of the nuclear spin-lattice relaxation rate, 1/T_{1}, were observed at around 110 K. This behavior provides clear and microscopic evidences for a magnetic phase transition at considerably high temperature among organic conductors. The observed variation in 1/T_{1} with respect to temperature indicates the highly correlated nature of the metallic phase.Comment: 5pages, 6figures to be published in J. Phys. Soc. Jp

Influence of intermartensitic transitions on transport properties of Ni2.16Mn0.84Ga alloy

Magnetic, transport, and x-ray diffraction measurements of ferromagnetic shape memory alloy Ni$_{2.16}$Mn$_{0.84}$Ga revealed that this alloy undergoes an intermartensitic transition upon cooling, whereas no such a transition is observed upon subsequent heating. The difference in the modulation of the martensite forming upon cooling from the high-temperature austenitic state [5-layered (5M) martensite], and the martensite forming upon the intermartensitic transition [7-layered (7M) martensite] strongly affects the magnetic and transport properties of the alloy and results in a large thermal hysteresis of the resistivity $\rho$ and magnetization $M$. The intermartensitic transition has an especially marked influence on the transport properties, as is evident from a large difference in the resistivity of the 5M and 7M martensite, $(\rho_{\mathrm{5M}} - \rho_{\mathrm{7M}})/\rho _{\mathrm{5M}} \approx 15$, which is larger than the jump of resistivity at the martensitic transition from the cubic austenitic phase to the monoclinic 5M martensitic phase. We assume that this significant difference in $\rho$ between the martensitic phases is accounted for by nesting features of the Fermi surface. It is also suggested that the nesting hypothesis can explain the uncommon behavior of the resistivity at the martensitic transition, observed in stoichiometric and near-stoichiometric Ni-Mn-Ga alloys.Comment: 7 pages, 6 figures, REVTEX