4,112 research outputs found
Symmetry breaking and criticality in tensor-product states
We discuss variationally optimized matrix-product states for the
transverse-field Ising chain, using D*D matrices with small D=2-10. For finite
system size N there are energy minimums for symmetric as well as
symmetry-broken states, which cross each other at a field value hc(N,D); thus
the transition is first-order. A continuous transition develops as N->infinity.
The asymptotic critical behavior is then always of mean-field type (the
magnetization exponent beta=1/2), but a window of field strengths where true
Ising scaling holds (beta=1/8) emerges with increasing D. We also demonstrate
asymptotic mean-field behavior for infinite-size two-dimensional tensor-product
(iPEPS) states with small tensors.Comment: 4 pages, 5 figure
Secretory Carcinoma: A Silent Mass Increasing in the Parotid Gland
BACKGROUND: Secretory carcinoma (SC) of the salivary gland, also known as mammary analog secretory carcinoma, is a rare tumor in the parotid gland. This kind of tumor is characterized by generally indolent clinical behavior and expression of a break in the ETV6 gene.
CASE REPORT: We present a unique case of secretory carcinoma and show its favorable prognoses.
CONCLUSION: Secretory carcinoma of the salivary gland is a low-grade carcinoma with a favorable prognosis. It has low regional lymph node and distant metastasis potential. Due to the possibility of misdiagnosis, immunohistochemical studies and FISH are suggested. The most effective treatment is complete surgical excision with negative surgical margins
Prevalence of Dyslipidemia in Patients Receiving Health Checkups: A Hospital-Based Study
We used the dataset from one medical center in Taiwan to explore the prevalence of dyslipidemia, which included 2695 subjects receiving private health checkups in 2003-2004. The overall prevalence of hypercholesterolemia was 53.3% in men and 48.2% in women (P = 0.008). The overall prevalence of hypertriglyceridemia was 29.3% in men and 13.7% in women (P < 0.001). The overall prevalence of elevated LDL level was 50.7% in men and 37.9% in women (P < 0.001). The overall prevalence of low HDL level was 47.4% in men and 53% in women (P = 0.004)
Magnon-induced non-Markovian friction of a domain wall in a ferromagnet
Motivated by the recent study on the quasiparticle-induced friction of
solitons in superfluids, we theoretically study magnon-induced intrinsic
friction of a domain wall in a one-dimensional ferromagnet. To this end, we
start by obtaining the hitherto overlooked dissipative interaction of a domain
wall and its quantum magnon bath to linear order in the domain-wall velocity
and to quadratic order in magnon fields. An exact expression for the pertinent
scattering matrix is obtained with the aid of supersymmetric quantum mechanics.
We then derive the magnon-induced frictional force on a domain wall in two
different frameworks: time-dependent perturbation theory in quantum mechanics
and the Keldysh formalism, which yield identical results. The latter, in
particular, allows us to verify the fluctuation-dissipation theorem explicitly
by providing both the frictional force and the correlator of the associated
stochastic Langevin force. The potential for magnons induced by a domain wall
is reflectionless, and thus the resultant frictional force is non-Markovian
similarly to the case of solitons in superfluids. They share an intriguing
connection to the Abraham-Lorentz force that is well-known for its causality
paradox. The dynamical responses of a domain wall are studied under a few
simple circumstances, where the non-Markovian nature of the frictional force
can be probed experimentally. Our work, in conjunction with the previous study
on solitons in superfluids, shows that the macroscopic frictional force on
solitons can serve as an effective probe of the microscopic degrees of freedom
of the system.Comment: 13 pages, 2 figure
An Automatic Decision-Making Mechanism for Virtual Machine Live Migration in Private Clouds
Due to the increasing number of computer hosts deployed in an enterprise, automatic management of electronic applications is inevitable. To provide diverse services, there will be increases in procurement, maintenance, and electricity costs. Virtualization technology is getting popular in cloud computing environment, which enables the efficient use of computing resources and reduces the operating cost. In this paper, we present an automatic mechanism to consolidate virtual servers and shut down the idle physical machines during the off-peak hours, while activating more machines at peak times. Through the monitoring of system resources, heavy system loads can be evenly distributed over physical machines to achieve load balancing. By integrating the feature of load balancing with virtual machine live migration, we successfully develop an automatic private cloud management system. Experimental results demonstrate that, during the off-peak hours, we can save power consumption of about 69 W by consolidating the idle virtual servers. And the load balancing implementation has shown that two machines with 80% and 40% CPU loads can be uniformly balanced to 60% each. And, through the use of preallocated virtual machine images, the proposed mechanism can be easily applied to a large amount of physical machines
An All Deep System for Badminton Game Analysis
The CoachAI Badminton 2023 Track1 initiative aim to automatically detect
events within badminton match videos. Detecting small objects, especially the
shuttlecock, is of quite importance and demands high precision within the
challenge. Such detection is crucial for tasks like hit count, hitting time,
and hitting location. However, even after revising the well-regarded
shuttlecock detecting model, TrackNet, our object detection models still fall
short of the desired accuracy. To address this issue, we've implemented various
deep learning methods to tackle the problems arising from noisy detectied data,
leveraging diverse data types to improve precision. In this report, we detail
the detection model modifications we've made and our approach to the 11 tasks.
Notably, our system garnered a score of 0.78 out of 1.0 in the challenge.Comment: Golden Award for IJCAI CoachAI Challenge 2023: Team NTNUEE AIoTLa
Bending Stress Analysis of Laminated Foldable Touch Panel
AbstractThe touch panel technology has been developed in recent years, and the foldable touch panel is one of the newly attractive characteristics. This article focuses on the bending stress analysis of foldable touch panel, composed of plastic substrate PET, adhesive layer, plastic layer PI, organic layer and conductive layer ITO to form a seven-layer laminated structure. By applying four-point bending, the stress distribution of the touch panel under different radius of curvature was analyzed. The results show that the maximum von Mises stress occurred in the ITO layer and the maximum von Mises stress increased from 0.497GPa to 1.242GPa with decreasing radius of curvature. The region near the center of the touch panel has higher von Mises stress, and the relation between the radius of curvature and the maximum von Mises stress exhibits a non-linear feature
Causal Evidence for the Role of Specific GABAergic Interneuron Types in Entorhinal Recruitment of Dentate Granule Cells
The dentate gyrus (DG) is the primary gate of the hippocampus and controls
information flow from the cortex to the hippocampus proper. To maintain normal
function, granule cells (GCs), the principal neurons in the DG, receive fine-
tuned inhibition from local-circuit GABAergic inhibitory interneurons (INs).
Abnormalities of GABAergic circuits in the DG are associated with several
brain disorders, including epilepsy, autism, schizophrenia, and Alzheimer
disease. Therefore, understanding the network mechanisms of inhibitory control
of GCs is of functional and pathophysiological importance. GABAergic
inhibitory INs are heterogeneous, but it is unclear how individual subtypes
contribute to GC activity. Using cell-type-specific optogenetic perturbation,
we investigated whether and how two major IN populations defined by
parvalbumin (PV) and somatostatin (SST) expression, regulate GC input
transformations. We showed that PV-expressing (PV+) INs, and not SST-
expressing (SST+) INs, primarily suppress GC responses to single cortical
stimulation. In addition, these two IN classes differentially regulate GC
responses to θ and γ frequency inputs from the cortex. Notably, PV+ INs
specifically control the onset of the spike series, whereas SST+ INs
preferentially regulate the later spikes in the series. Together, PV+ and SST+
GABAergic INs engage differentially in GC input-output transformations in
response to various activity patterns
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