Cardiovascular disease is the leading cause of death globally. This research implements a system for monitoring heart rate, electrocardiogram, and providing alerts for potential risks to patients ...based on data collected using the LSTM machine learning model. The wearable device is compact in size with a long battery life. The information collected from the device can be remotely monitored by doctors through a visual interface on a web server model, and patients can self-monitor their electrocardiogram status through an application on a mobile device. By integrating the LSTM model into the design, this study has addressed two issues: predicting the trend of the electrocardiogram signal and detecting abnormalities in the predicted signal. This allows users to self-monitor their personal status and doctors to better adjust the treatment method for the patient’s health.
We describe a new multidrug resistant
species that was isolated from patients with type 2 diabetes in Vietnam. Strain BD 01
was cultivated in 2017 from a blood sample of a patient suffering from ...bacteremia. Strain VP 7442 was isolated in 2018 from a pleural fluid sample of a patient who had presented with lung abscess and pleural effusion. Both strains are aerobic, Gram-negative, non-motile and non-spore-forming. The 16S rRNA gene sequences of both strains are 100 % similar and share a highest 16S sequence identity with
MRP-15
of 97.42 %. Their predominant fatty acid is iso-C
(73.8 % for strain BD 01
and 79.8 % for strain VP 7442). The draft genome sizes of strains BD 01
and VP 7442 are 6 308 408 and 6 308 579 bp, respectively. They are resistant to beta-lactams, aminoglycosides, fluoroquinolones, metronidazole, fosfomycin, vancomycin and macrolides, and exhibit 20 and 18 antimicrobial resistance-related genes, respectively. Using the multiphasic taxonogenomic approach, we propose that strains BD 01
(=CSUR P9622=VTCC 70981) and VP 7442 (=CSUR P9623=VTCC 70982) represent a new species, for which we propose the name
sp. nov. Strain BD 01
was chosen as type strain of
sp. nov.
Nanoscale memristors can be used as synapses in brain-mimicking neuromorphic systems. Here, the fine tuning of memristor conductance is important in controlling the synapse weights precisely, because ...the coarse tuning of memristor synapses can cause a significant error in neuromorphic processing. In this paper, we propose a new Pulse Amplitude Modulation (PAM) method for the fine tuning of memristor conductance. The new PAM scheme is verified by the experimental measurement of real memristors, where the new PAM could reduce the pulse-to-pulse fluctuation in conductance change per pulse by 84.8%, compared to the previous linear PAM. For comparing the linear and new PAM schemes, they are tested in programming memristor synapses in the memristor-based Cellular Neural Networks (CNN). The simulation result confirms that the new-PAM-programmed CNN shows better quality of edge detection than the linear-PAM-programmed CNN.
This study proposes an intelligent roadside system based on a V2X vehicle network and intelligent traffic signals to address the important issues of traffic accidents and congestion in traffic ...management. With the V2X vehicle network, vehicles can obtain real-time information from traffic signals and use better methods to control their speed and direction, thus reducing the occurrence of accidents and congestion. In addition, the system uses CNN technology to improve detection performance under required conditions, and YOLOv7 technology can accurately identify vehicles. With these technologies, the intelligent roadside system can more sensitively detect vehicle behavior on the road, better coordinate traffic flow, improve road traffic efficiency, reduce traffic congestion, and also reduce the occurrence of traffic accidents. Overall, this intelligent roadside system based on a V2X vehicle network and intelligent traffic signals is expected to play an important role in urban traffic management, effectively reducing the occurrence of traffic accidents and congestion, improving road traffic efficiency, and providing a safer and more convenient driving experience for the public.
This research looks into methods for searching of designs of nonpolarizing interference systems, which provide a small discrepancy between spectral characteristics of the energy ...reflection/transmission coefficient for s- and p- polarizations. The layer thickness of these systems is a multiple of a quarter wavelength. Depending on the method used, the number of film-forming materials can vary from two to four. Analysis of spectral characteristics shows that in the spectral range of interest the discrepancy between the integral characteristics for s- and p-polarizations is less than 2%.
To estimate the direct medical cost of type 2 diabetes mellitus (T2DM) and its complications in Vietnam.
Using the public payer perspective, the direct medical cost was estimated using routine data ...in the national claims database in Vietnam in 2017. People were identified as being diagnosed with T2DM if they were aged ≥ 30 years and who either (1) had at least one ICD-10 code E11 or (2) had been prescribed with oral antihyperglycemic medication on two separate visit records. The Diabetes Severity Complications Index was used to assess the presence of diabetes-related complications. All costs were standardized to 2017 United States dollars (USD).
Of the 1,395,204 people identified with T2DM, 55% had diabetes-related complications. The most common complication was cardiovascular diseases (34%). The total direct medical cost was USD 435 million, of which 24% was spent on hospitalization, 20% on outpatient care, 7% on emergency care, 36% on non-diabetes-related medication, and 13% on antihyperglycemic medication. About 70% of the total direct medical costs were attributed to diabetes-related complications.
The high proportion of hospitalization and complications costs in Vietnam suggests that the possibility exists to make economic savings through better preventative care.
The aim of this
study was to evaluate the accuracy of cone-beam computed tomography (CBCT) and two electronic apex locators (EALs) when measuring the actual length of root canals.
One hundred and ...eighty four root canals in 135 extracted anterior and posterior permanent teeth were studied. Root canal curvatures were analyzed on CBCT images, and root canals with curvatures less than 70
were chosen. Root canal length measurements were performed using CBCT, ProPex Pixi, E-Pex Pro, and the actual length (AL). The percentages of the measurements in the range of ±0.5 mm to the AL were compared using Fisher's Exact test. The ICC indices and Bland-Altman plots were used to display the agreement of three devices with the AL measurements. The statistical significance was set at
<0.05.
The accuracies of E-Pex Pro and ProPex Pixi (87.5% and 82.6%, respectively) were better than that of CBCT (71.7%) (
<0.05).
This
study showed that although the accuracies of the two EALs were at high level, there was no device that had an agreement with the actual root canal length measurement.
BackgroundAdolescents who are willing to perform first aid can help prevent injuries and ultimately death among themselves and others involved in accidents or injuries. This study aims to estimate ...the prevalence of students' willingness to perform first aid procedures and additionally examine associated factors among high school students in Hue, Vietnam.MethodsA cross-sectional study utilizing multi-stage stratified random sampling was conducted between April to July 2020 by investigating 798 high school students in Hue, Vietnam. Participants were invited to complete a self-reported questionnaire pertaining to individual demographic characteristics, personal perception of self-efficacy, and willingness to perform first aid. To better interpret these findings, both multivariable linear and Poisson regression models were fitted to evaluate the association between individual student characteristics and the willingness to perform first aid.ResultsThe prevalence of having willingness to perform first aid (defined as ≥4 points out of 5 to all three questions) was 49.9% (95%CI:28.6-71.2%). The major reported barriers in performing first aid were fear of making mistakes and hurting victims (34.4%, 95%CI:31.9-37.0%), no prior first aid training (29.8%, 95%CI:25.9-33.9%), and forgetting first aid steps (23.0%, 95%CI:15.8-32.2%). By employing the multivariable linear regression model, it was identified that students with high (β = 0.614, 95%CI:0.009-1.219) or very high (β = 1.64, 95%CI:0.857-2.422) levels of self-efficacy appeared to be more willing to perform first aid. Similarly, in the Poisson regression models, compared to neutral students, students who reported high (PR = 1.214, 95%CI:1.048-1.407) or very high (PR = 1.871, 95%CI:1.049-3.337) levels of self-efficacy were more willing to perform first aid.ConclusionsThe level of willingness to perform first aid among high school students in this study population was found to be moderate. Therefore, integrating activities to promote self-efficacy in first aid training could be considered a progressive step towards improving a student's willingness to provide such life-saving procedures.
A memristor Ternary Neural Network (TNN) is a promising candidate for implementing neural networks for Internet-of-Things (IoT) applications, where low power and simple hardware are important. One ...important concern in the memristor TNN is that the real memristor crossbar has various defects such as stuck-at-faults, memristance variation, etc., like human brain's biological neurons and synapses. To mitigate the inference loss due to the memristive defects, we need to retrain the defective crossbar. However, the crossbar's retraining needs a long time and a large amount of energy of programming, because the memristors should be programmed one by one using Incremental Step Pulse Programming (ISPP) of flash memories. Here, we combine the partial-gated training scheme with the asymmetrical training for not only minimizing the recognition rate loss, but also saving the crossbar's programming time and energy. The CF scheme with 10% retraining indicates the programming energy can be saved by as large as ~98%, in sacrifice with the MNIST rate loss of ~0.6%, compared to the FF scheme with 100% retraining. The simulation indicates that the CF with 10% retraining will be useful for realizing the crossbar-based neural-network in large scale for future IoT applications.
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