10 research outputs found
Charge density functional plus calculation of lacunar spinel GaMSe (M = Nb, Mo, Ta, and W)
Charge density functional plus calculations are carried out to examine
the validity of molecular =1/2 and 3/2 state in lacunar spinel
GaMX (M = Nb, Mo, Ta, and W). With LDA (spin-unpolarized local density
approximation), which has recently been suggested as the more desirable
choice than LSDA (local spin density approximation), we examine the band
structure in comparison with the previous prediction based on the
spin-polarized version of functional and with the prototypical
=1/2 material SrIrO. It is found that the previously
suggested =1/2 and 3/2 band characters remain valid still in
LDA calculations while the use of charge-only density causes some minor
differences. Our result provides the further support for the novel molecular
state in this series of materials, which can hopefully motivate
the future exploration toward its verification and the further search for new
functionalities
Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension
Quantum convolutional neural networks (QCNNs) represent a promising approach
in quantum machine learning, paving new directions for both quantum and
classical data analysis. This approach is particularly attractive due to the
absence of the barren plateau problem, a fundamental challenge in training
quantum neural networks (QNNs), and its feasibility. However, a limitation
arises when applying QCNNs to classical data. The network architecture is most
natural when the number of input qubits is a power of two, as this number is
reduced by a factor of two in each pooling layer. The number of input qubits
determines the dimensions (i.e. the number of features) of the input data that
can be processed, restricting the applicability of QCNN algorithms to
real-world data. To address this issue, we propose a QCNN architecture capable
of handling arbitrary input data dimensions while optimizing the allocation of
quantum resources such as ancillary qubits and quantum gates. This optimization
is not only important for minimizing computational resources, but also
essential in noisy intermediate-scale quantum (NISQ) computing, as the size of
the quantum circuits that can be executed reliably is limited. Through
numerical simulations, we benchmarked the classification performance of various
QCNN architectures when handling arbitrary input data dimensions on the MNIST
and Breast Cancer datasets. The results validate that the proposed QCNN
architecture achieves excellent classification performance while utilizing a
minimal resource overhead, providing an optimal solution when reliable quantum
computation is constrained by noise and imperfections.Comment: 17 pages, 7 figure
A PVT-Insensitive Optimal Phase Noise Point Tracking Bias Calibration in Class-C VCO
This paper presents a Class-C voltage-controlled oscillator (VCO) with bias voltage calibration that automatically finds the low-phase noise point and achieves robust start-up regardless of PVT variation. This VCO structure also has the bias circuit that compensates for temperature changes even when calibration is not applied. Through these techniques, the problems of robust start-up and vulnerability to PVT variation, which are chronic problems of Class-C VCO, are overcome. The proposed VCO was designed in a 28 nm CMOS process. Simulation results show that this VCO has an operating range from 3.717 to 4.675 GHz, resulting in a frequency tuning range (FTR) of 22.8%. In addition, power consumption was 2.135 mW, phase noise at 1 MHz was ā124.1 dBc/Hz, and the figure of merit (FoM) was ā192.2 dBc/Hz. The chip area was very small at 0.196 mm2
Self Capacitance Mismatch Calibration Technique for Fully-Differential Touch Screen Panel Self Capacitance Sensing System
This paper presents a fully-differential touch screen panel (TSP) self-capacitance sensing (SCS) system with a self-capacitance mismatch calibration technique. Due to the self-capacitance mismatch of TSP, the analog front-end (AFE) of the receiver (RX) circuit suffers from dynamic range degradation and gain limitations, which lead to the signal-to-noise ratio (SNR) loss for the TSP SCS system. The proposed calibration introduces the difference in input resistance and the driving amplifierās strength between the fully-differential input. Thus, the mismatch effect is efficiently relieved in terms of area and power consumption. The proposed calibration restores the SNR by 19.54 dB even under the worst self-capacitance mismatch case
Asynchronous SAR ADC with selfātimed trackāandāhold
Abstract This paper presents an asynchronous SAR ADC featuring a selfātimed trackāandāhold (STH) architecture. The design aims to address the common timing issue of dividerābased clock generation, where the fixedātime trackāandāhold (FTH) period often results in incomplete conversions due to prolonged conversion times time due to comparator metastability. To alleviate the degradation of the ENOB induced by these delays, the proposed STH method is introduced so that more conversion period is secured without requiring a highāspeed input clock. Based on measurements, the proposed STH method achieves up to 0.7 bit improvement over the conventional FTH approach as conversion timeĀ increases
Computed tomographic bronchial collapsibility values over 50% may be detected in healthy dogs
Bronchomalacia and bronchial collapse are important causes of chronic coughing in dogs. The current reference standard diagnostic tests for these problems are flexible bronchoscopy and biopsy. Previous human studies have also supported inspiration/expiration computed tomography (CT) as a diagnostic test. The current prospective, pilot study aimed to determine whether inspiration/expiration CT is also a feasible test for quantifying bronchial collapsibility in dogs. Thoracic CT images were acquired using a 64-row multidetector CT for 10 healthy Beagle dogs during maximal inspiration and expiration. For each scan, one observer measured transverse sectional areas of the mainstem and lobar bronchi, and the dorsal and ventral segmental bronchi of the left cranial lobar bronchus. Diameters for each bronchus were also measured in transverse, sagittal, and dorsal planes. Bronchial collapsibility (%) was calculated as the difference between inspiration/expiration transverse sectional areas divided by the inspiration transverse sectional areas. Mean bronchial collapsibility of all bronchi was 38.20 +/- 15.17%. A collapsibility of over 50% was found in the dorsal (n = 7) and ventral (n = 4) segmental bronchi of the left cranial lobar bronchus, and the left caudal (n = 5) and right middle (n = 2) lobar bronchus. Bronchial collapsibility measurements were greater in the dorsal and ventral segmental bronchi of the left cranial lobar bronchus and the left caudal lobar bronchus (P < 0.001). Findings supported inspiration/expiration CT as a modality to noninvasively assess bronchial collapse in dogs and a bronchial collapsibility value greater than 50% for detecting pathologic bronchial collapse in clinically affected dogs.Y
Determination of tricuspid regurgitation velocity/pulmonary artery flow velocity time integral in dogs with pulmonary hypertension
Ā© 2020, Korean Society of Veterinary Clinics. All rights reserved.This retrospective, echocardiographic study using 144 dogs with clear systolic tricuspid regurgitation on Doppler echocardiography was performed to determine the diagnostic value of the systolic tricuspid regurgitation velocity/pulmonary artery flow velocity time integral to predict the Doppler estimates of dogs with tricuspid regurgitation pressure gradient compared with other cardiac indices of pulmonary hypertension, and to investigate a cutoff value to select patients with a potentially poor outcome. The systolic tricuspid regurgitation velocity/pulmonary artery flow velocity time integral increased significantly as the severity of pulmonary hypertension increased and had a correlation coefficient that was analogous to those of other conventional cardiac indices. A cutoff value greater 1.65 provided the best-balanced sensitivity (84%) and specificity (80%) in determining patients with a poor prognosis. In conclusion, the systolic tricuspid regurgitation velocity/pulmonary artery flow velocity time integral is readily obtained using routine echocardiography and could provide a non-invasive, novel, and supplementary index for evaluating dogs with pulmonary hypertension as useful prognostic criteria, particularly in those with advanced pulmonary hypertension.N
Esophageal insufflation computed tomography in clinically normal dogs
OBJECTIVE To assess the feasibility of esophageal insufflation CT (EICT) for evaluation of the esophagus in dogs. ANIMALS 7 clinically normal adult Beagles. PROCEDURES Each dog was anesthetized twice with 1 week between anesthesia sessions. Dogs were positioned in sternal recumbency during all CT scans. During the first anesthesia session, a CT scan was performed before the esophagus was insufflated (insufflation pressure, 0 mm Hg) and unenhanced and contrast-enhanced EICT scans were performed after CO2 was insufflated into the esophageal lumen to achieve a pressure of 5 mm Hg. For the contrast-enhanced scan, each dog received iohexol (600 mg/kg, IV), and the scan was performed 30 seconds later. During the second anesthesia session, unenhanced and contrast-enhanced EICT scans were performed in the same manner except the insufflation pressure achieved was 10 mm Hg. The esophageal luminal cross-sectional area and wall thickness were measured at each of 5 segments, and mean values were compared among the 3 insufflation pressures and between unenhanced and contrast-enhanced images. RESULTS Mean esophageal luminal cross-sectional area increased and esophageal wall thickness decreased as insufflation pressure increased. Measurements did not differ significantly between unenhanced and contrast-enhanced images. The stomach became distended with CO2 at an insufflation pressure of 10 mm Hg but not at 5 mm Hg. No adverse effects were observed. CONCLUSIONS AND CLINICAL RELEVANCE Results suggested EICT was feasible for esophageal evaluation in dogs. Further research is necessary to determine the optimal insufflation pressure for the procedure and its diagnostic efficacy in diseased patients.OAIID:RECH_ACHV_DSTSH_NO:T201900028RECH_ACHV_FG:RR00200001ADJUST_YN:EMP_ID:A004776CITE_RATE:.833DEPT_NM:ģģķź³¼EMAIL:[email protected]_YN:YN
Extraordinary Off-Stoichiometric Bismuth Telluride for Enhanced nāType Thermoelectric Power Factor
Thermoelectrics
directly converts waste heat into electricity and
is considered a promising means of sustainable energy generation.
While most of the recent advances in the enhancement of the thermoelectric
figure of merit (<i>ZT</i>) resulted from a decrease in
lattice thermal conductivity by nanostructuring, there have been very
few attempts to enhance electrical transport properties, i.e., the
power factor. Here we use nanochemistry to stabilize bulk bismuth
telluride (Bi<sub>2</sub>Te<sub>3</sub>) that violates phase equilibrium,
namely, phase-pure n-type K<sub>0.06</sub>Bi<sub>2</sub>Te<sub>3.18</sub>. Incorporated potassium and tellurium in Bi<sub>2</sub>Te<sub>3</sub> far exceed their solubility limit, inducing simultaneous increase
in the electrical conductivity and the Seebeck coefficient along with
decrease in the thermal conductivity. Consequently, a high power factor
of ā¼43 Ī¼W cm<sup>ā1</sup> K<sup>ā2</sup> and a high <i>ZT</i> > 1.1 at 323 K are achieved. Our
current synthetic method can be used to produce a new family of materials
with novel physical and chemical characteristics for various applications