208 research outputs found
Correlation Between CT Body Fat Distribution and Carotid Plaque Characteristics
Objective: To analyze the relationship between CT body fat distribution and the characteristics of carotid artery plaques. Method: A retrospective analysis was conducted on the clinical and imaging data of 50 patients who underwent CT examination in our hospital. Within 2 weeks, 50 patients were required to undergo abdominal CT and head CTA examinations. Transfer various data to the workstation and conduct research and analysis on the type of carotid artery plaque and degree of stenosis evaluated by CT angiography of the patient's head and neck. Determine the type of carotid artery plaque in patients and divide them into stable plaque group and unstable plaque group. According to the degree of carotid artery stenosis, patients are divided into no/mild stenosis group and moderate/severe stenosis group. Compare clinical laboratory indicators separately. Use SPSS21.0 statistical software for data processing. The measurement data in line with normal distribution were compared between the two groups by t test; The measurement data of non normal distribution were compared between the two groups by Mann Whitney U test. The difference was statistically significant with P<0.05. The VFA/SFA ratio was higher in the unstable plaque group than in the stable plaque group, and the difference between the two groups was statistically significant (P=0.028); There was no statistically significant difference in VFA and SFA between the two groups (P=0.106, 0.695); The total cholesterol in the unstable plaque group was lower than that in the stable plaque group, and the difference was statistically significant (P=0.052). The incidence rate of coronary heart disease in patients with moderate/severe stenosis was higher than that in patients with no/mild stenosis, and the difference between the two groups was statistically significant (P=0.037); The quantitative parameters of CT body fat distribution (VFA, SFA, VFA/SFA ratio) showed no statistically significant differences between the no/mild stenosis group and the moderate/severe stenosis group (P values>0.05). Conclusion: The quantitative parameter VFA/SFA ratio of abdominal fat is closely related to the stability of carotid artery plaques. The higher the VFA/SFA ratio, the poorer the stability of plaques
Mobile Power Network for Ultimate Mobility without Battery Life Anxiety
Similar to the evolution from the wired Internet to mobile Internet (MI), the
growing demand for power delivery anywhere and anytime appeals for power grid
transformation from wired to mobile domain. We propose here the next generation
of power delivery network -- mobile power network (MPN) for wireless power
transfer within a mobile range from several meters to tens of meters. At first,
we present the MPN's concept evolution and application scenarios. Then, we
introduce the MPN's supporting technology, namely resonant beam charging (RBC).
As a long-range wireless power transfer (WPT) method, RBC can safely deliver
multi-Watt power to multiple devices concurrently. Meanwhile, the recent
progress in RBC research has been summarized. Next, we specify the MPN's
architecture to provide the wide-area WPT coverage. Finally, we discuss the
MPN's features and challenges. MPN can enable the ultimate mobility by cutting
the final cord of mobile devices, realizing the "last-mile" mobile power
delivery.Comment: 10 pages, 5 figure
Unraveling the Complexity of Metal Ion Dissolution: Insights from Hybrid First-Principles/Continuum Calculations
The study of ion dissolution from metal surfaces has a long-standing history,
wherein the gradual dissolution of solute atoms with increasing electrode
potential, leading to their existence as ions in the electrolyte with integer
charges, is well-known. However, our present work reveals a more intricate and
nuanced physical perspective based on comprehensive first-principles/continuum
calculations. We investigate the dissolution and deposition processes of 22
metal elements across a range of applied electrode potentials, unveiling
diverse dissolution models. By analyzing the energy profiles and valence states
of solute atoms as a function of the distance between the solute atom and metal
surface, we identify three distinct dissolution models for different metals.
Firstly, solute atoms exhibit an integer valence state following an
integer-valence jump, aligning with classical understandings. Secondly, solute
atoms attain an eventual integer valence, yet their valence state increases in
a non-integer manner during dissolution. Lastly, we observe solute atoms
exhibiting a non-integer valence state, challenging classical understandings.
Furthermore, we propose a theoretical criterion for determining the selection
of ion valence during electrode dissolution under applied potential. These
findings not only contribute to a deeper understanding of the dissolution
process but also offer valuable insights into the complex dynamics governing
metal ion dissolution at the atomic level. Such knowledge has the potential to
advance the design of more efficient electrochemical systems and open new
avenues for controlling dissolution processes in various applications.Comment: still dont hav
Sensing with OFDM Waveform at mmWave Band based on Micro-Doppler Analysis
Joint communication and sensing (JCAS) technology has been regarded as one of
the innovations in the 6G network. With the channel modeling proposed by the
3rd Generation Partnership Project (3GPP) TR 38.901, this paper investigates
the sensing capability using the millimeter-wave (mmWave) band with an
orthogonal frequency division multiplexing (OFDM) waveform. Based on
micro-Doppler (MD) analysis, we present two case studies, i.e., fan speed
detection and human activity recognition, to demonstrate the target modeling
with micro-motions, backscattering signal construction, and MD signature
extraction using an OFDM waveform at 28 GHz. Simulated signatures demonstrate
distinct fan rotation or human motion, and waveform parameters that affect the
MD signature extraction are analyzed. Simulation results draw the validity of
the proposed modeling and simulation methods, which also aim to facilitate the
generation of data sets for various JCAS applications
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