Background: The aim of the present study was to evaluate the postoperative pain between root canal instrumentation with unconnected electronic apex locator and instrumentation with connected ...electronic apex locator.
Methods: Forty-two patients were randomly divided into two groups (n=21). Group 1 was treated using the traditional endodontic motor with unconnected electronic apex locator (EAL) and group 2 was treated using the endodontic motor with connected EAL. All teeth were treated in single-visit endodontic therapy. Postoperative pain levels at 6, 24, 48, 72 h and 1 week were recorded by patients. The data were collected and analyzed using the χ2, and Mann-Whitney U tests with significance at 0.05.
Results: Postoperative pain levels were significantly reduced by half at 6 hours in both experimental groups; however, no significant differences were found in postoperative pain levels between the two groups at all considered times. The postoperative pain levels using a percussion test were reduced on day 7 in both groups, and there was no significant difference in this variable between two groups.
Conclusions: Both groups have a similar effect on reduction of the postoperative pain for endodontic patients undergoing root canal.
Pattern matching or pattern recognition is one of the elemental components that constitute the very complicated recalling and remembering process in human’s brain. To realize this neuromorphic ...pattern matching, we fabricated and tested a 3 × 3 memristor synaptic array with the winner-take-all method in this research. In the measurement, first, the 3 × 3 Ta
2
O
5
memristor array is programmed to store LLL, LHH, and HLH, where L is a low-resistance state and H is a high-resistance state, at the 1st, 2nd, and 3rd columns, respectively. After the programming, three input patterns, 111, 100, and 010, are applied to the memristor synaptic array. From the measurement results, we confirm that all three input patterns can be recognized well by using a twin memristor crossbar with synaptic arrays. This measurement can be thought of as the first real verification of the twin memristor crossbar with memristive synaptic arrays for neuromorphic pattern recognition.
Abstract
The Red River delta plain is the second largest delta in Vietnam and is located in the North of the country with an area of 14,860 km
2
and residing more than 22.5 million inhabitants. ...Groundwater is mainly exploited in Quaternary sedimentary aquifers with a total discharge of about 3 million m
3
/day. Some localities have shown signs of over-exploitation such as in Hanoi and in Nam Dinh, which may lead to related problems such as depletion, subsidence, saltwater intrusion, and water pollution. In order to be able to sustainably exploit groundwater, the groundwater potential recharge needs to be estimated. There have been many studies using different methods to estimate the groundwater recharge and to zone potential recharge. In the study area, there are several studies for groundwater recharge, but some are still uncertain because of using indirect methods, some are locally estimated in specific areas. Therefore, the objective of this study is to apply remote sensing and GIS to zone the groundwater potential recharge and its verification by using radioactive isotope
3
H analysis in the Red River delta plain. Various types of satellite images have been used and interpreted to detect the different thematic layers which concern the groundwater potential recharge. GIS has been applied as a platform for analysis and integration of thematic layers for zonation, finally. Field trip and water sampling for chemical and radioactive
3
H analysis were also conducted. Zones with low, moderate, and high groundwater potential recharge have been delineated with good agreement from the direct estimation of groundwater recharge by radioactive isotopes
3
H.
Static random-access memory (SRAM) technology is utilized in designing cache memory to enhance the processing performance of computer systems. The sense amplifier (SA) circuit, a crucial component of ...memory design, significantly impacts data access time and power consumption. In comparison to conventional differential sense amplifiers (DSA) designs, latch-based sense amplifiers (LSA) used in memory-based computing platforms have specific requirements, including robust noise resistance in harsh working environments and low power consumption, particularly for internet of thing (IoT) embedded computing applications. However, the performance can be degraded due to various factors that arise during the layout, such as conductor resistance or the development of parasitic capacitance. Therefore, this study employs low-voltage 22 nm UMC CMOS technology for LSA design layout and analyzes the factors influencing design performance post-layout process. Layout design optimization techniques are applied to mitigate the impact of parasitic capacitance on important signal lines such as data line/data line bar (DLL/DLLB). Based on the performance analysis results, it is possible to achieve a reduction in power consumption of up to 15% and a 5% decrease in read delay time by implementing circuit layout LSA design optimization techniques.
Self-power technique is a vital key for stand-alone applications whereas battery replacement may be impossible. For wearable applications, extracting energy from the ambient temperature is one of the ...best solutions among the other energy harvesting methods such as solar, wireless waves, and temperature. In this paper, a high-efficient power dc-dc converter with maximum power point tracking (MPPT) and zero-current switching (ZCS) based on digital counters is proposed for thermoelectric energy harvesting. The proposed technique is able to adapt to a wide range of temperature differences. The integrated ZCS module plays an essential role in reducing the loss induced by inaccurately controlling the high-side switch. Besides, the maximum power extracted from the thermal energy source is monitored with the MPPT module. The power converter was simulated using CMOS 600nm Nuvoton technology. From the simulation results, it shows that when employing a thermoelectric generator with a temperature gradient of 3 Celsius degrees, the converter is capable of providing a maximum power of 112μW with a high-efficient of 66%.
The recent advancements in semi-supervised learning for video action detection have shown great potential. These approaches can effectively utilize the vast amount of unlabeled data available, while ...labeled data is usually limited and expensive. This paper introduces a novel architecture to approach the video action detection problem, which presents several modifications on a baseline end-to-end model. We pay more attention to the feature construction inside the architecture and enrich the data with a robust augmentation technique. Furthermore, instead of hiding the video action and localization labels of the unlabeled dataset, we leverage the classification labels to improve localization accuracy. Experiments on the benchmark UCF101-24 (24 classes), which includes only 20% of the training annotations, have shown the advantage of the proposed model in this video understanding task. The new approach outperformed the baseline model by 3.1% in f-mAP@0.5 and 4.4% in v-mAP@0.5, respectively, and reached competitive performance to those of supervised methods.
The sequence recognition is very essential in mimicking brain’s neocortical function because most of input patterns to brain’s neocortex are dynamically changing over time, not static regardless of ...time. In this paper, we experimentally demonstrate the sequence recognition for various input sequences using serial memristors, for the first time. In this experiment, the serial memristors are used, which were fabricated with carbon fiber and aluminum film on glass substrate. To verify the sequence recognition, we store the following 3 sequences in the fabricated serial memristors, which are ‘A’→‘B’→‘C’, ‘B’→‘A’→‘C’, and ‘C’→‘B’→‘A’, respectively. By performing this experiment, it is verified the serial memristors are changed to Low Resistance State only when the input sequence matches the stored one. When the input sequence is different from the stored one, the serial memristors remain unchanged. The simple voltage comparator can be used to sense the output voltage to indicate whether the sequence matching happens or not. This experimental demonstration can be very useful to realize memristor crossbars which can process the temporal and sequential patterns in future.
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.
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