Deep learning-based regional ECG diagnosis platform.

OBJECTIVE: To enable the intelligent diagnosis of a variety of common Electrocardiogram (ECG), we investigate the deep learning-based ECG diagnosis system. METHODS: From January 2015 to December 2019, four consecutive years of 100,120 conventional 12-lead ECG data were collected in our hospital. Utilizing this dataset, we constructed a deep learning model designed to intelligently diagnose prevalent ECG anomalies by employing a multi-task learning framework. The system performance was evaluated using various metrics, including sensitivity, specificity, negative predictive value, positive predictive value, and so forth. Additionally, we employed an ECG intelligent diagnostic platform for clinical application to undertake real-time online analysis of 2500 conventional 12-lead ECG samples in June 2020, aiming to validate our model. At this stage, we compared the performance of our model against the traditional manual identification method. RESULTS: The efficacy of the ECG intelligent diagnostic model was notably high for common and straightforward ECG patterns, such as sinus rhythm (F1 = 98.01%), sinus tachycardia (F1 = 96.26%), sinus bradycardia (F1 = 94.88%), and a normal electrocardiogram (F1 = 91.71%), as well as for Premature Ventricular Contractions (F1 = 91.62%). Nevertheless, when diagnosing rarer and more intricate ECG anomalies, the system requires an increased number of samples to refine the deep learning models. During the validation stage, our model exhibited better efficiency in terms of accuracy, labor time and labor cost when compared to the manual identification approach. CONCLUSIONS: Our deep learning-driven intelligent ECG diagnostic model clearly demonstrates significant clinical utility. The integrated artificial intelligence diagnosis system not only has the potential to augment physicians in their diagnostic processes but also offers a viable avenue to reduce associated labor costs.

Influence of pecking frequency at working length on the volume of apically extruded debris: A micro-computed tomography analysis.

Background/purpose: There is no consensus to date on how many repetitive pecking motions at working length (WL) should be regarded as optimal during instrumentation. Therefore, this study aimed to evaluate the effect of pecking frequency at WL on the volume of apically extruded debris using three single-file systems in curved, oval-shaped canals. Materials and methods: Forty-five single-rooted mandibular premolars with curved, oval-shaped canals were prescanned by micro-computed tomography, anatomically paired-matched, and randomly divided among three groups (n = 15 each): Reciproc Blue (RB), WaveOne Gold (WOG) and XP-endo Shaper (XPS). Samples were embedded in agarose gel to collect extruded debris. After preparation to the WL, each sample was rescanned after one, two, four, 10, and 20 pecking motions at WL, respectively. The debris volume was innovatively calculated by a modification of an existing method using micro-computed tomography. The apical preparation size was also measured. Data were compared using a two-way repeated-measures analysis of variance. Results: All single-file systems extruded debris apically, irrespective of the pecking frequency at WL. The extruded debris volume correlated positively with the minor foramen size (P < 0.05); both increased with pecking frequency for each single-file system (P < 0.05). The minor foramen size corresponded to the instrument tip size when reaching the WL once. Conclusion: To produce less debris extrusion and obtain a predictable foramen size corresponding to the instrument tip size, a single pecking motion may be preferred when using single-file systems. Caution should be exercised when applying the current results to clinical situations.

Ethylene mediates salicylic-acid-induced stomatal closure by controlling reactive oxygen species and nitric oxide production in Arabidopsis.

Both salicylic acid (SA) and ethylene induce stomatal closure and positively regulate stomatal immunity, but their interactions in guard cell signaling are unclear. Here, we observed that SA induced the expression of ethylene biosynthetic genes; the production of ethylene, reactive oxygen species (ROS) and nitric oxide (NO); and stomatal closure in Arabidopsis thaliana. However, SA-induced stomatal closure was inhibited by an ethylene biosynthetic inhibitor and mutations in ethylene biosynthetic genes, ethylene-signaling genes [RESPONSE TO ANTAGONIST 1 (RAN1), ETHYLENE RESPONSE 1 (ETR1), ETHYLENE INSENSITIVE 2 (EIN2), EIN3 and ARABIDOPSIS RESPONSE REGULATOR 2 (ARR2)], NADPH oxidase genes [ATRBOHD and ATRBOHF], and nitrate reductase genes (NIA1 and NIA2). Furthermore, SA-triggered ROS production in guard cells was impaired in ran1, etr1, AtrbohD and AtrbohF, but not in ein2, ein3 or arr2. SA-triggered NO production was impaired in all ethylene-signaling mutants tested and in nia1 and nia2. The stomata of mutants for CONSTITUTIVE TRIPLE RESPONSE1 (CTR1) showed constitutive ROS and NO production and closure. These results indicate that ethylene mediates SA-induced stomatal closure by activating ATRBOHD/F-mediated ROS synthesis in an RAN1-, ETR1- and CTR1-dependent manner. This in turn induces NIA1/2-mediated NO production and subsequent stomatal closure via the ETR1, EIN2, EIN3 and ARR2-dependent pathway(s).

Bifurcation analysis of a wild and sterile mosquito model.

The bifurcation of an ordinary differential equation model describing interaction of the wild and the released sterile mosquitoes is analyzed. It is shown that the model undergoes a sequence of bifurcations including saddle-node bifurcation, supercritical Hopf bifurcation, subcritical Hopf bifurcation, homoclinic bifurcation and Bogdanov-Takens bifurcation. We also find that the model displays monostable, bistable or tristable dynamics. This analysis suggests that the densities of the initial wild mosquitoes and the released sterile ones determine the asymptotic states of both populations. This study may give an insight into the estimation number of the released sterile mosquitoes.

[Degradation of nonylphenol in water by microorganisms immobilized on bamboo charcoal.] / ç«¹ç‚­å›ºå®šåŒ–å¾®ç”Ÿç‰©å¯¹æ°´ä¸­å£¬åŸºé šçš„é™è§£æ•ˆçŽ‡.

Bamboo charcoal is a high-quality biochar, with a large surface area, well-developed pores, and high mechanical strength. Therefore, it is one of the best choices of microbial immobilization carrier. In this study, the optimal preparation condition was examined for microorganisms immobilized on bamboo charcoal by the orthogonal test. The degradation effects of estrogen nonylphenol were compared between the bacteria immobilized on bamboo charcoal and free bacteria, and then feasibility of the reuse of immobilized bacteria was investigated. The results showed that lots of degrading bacteria could adhere to the surface and internal pores of bamboo charcoal. The optimum conditions for the preparation of immobilized microorganisms were as follows: 30 ℃, pH=7, 35-mesh bamboo charcoal. The degradation rate of nonylphenol was in good agreement with the first order kinetics equation. When the initial concentrations of nonylphenol were 30, 50, 80 and 100 mg·L-1, the degradation rates of nonylphenol of immobilized bacteria for seven days were 100%, 75.3%, 67.3% and 78.7%, respectively, which were significantly higher than those of free bacteria (54.2%, 51.5%, 30.6% and 23.5%). After eight rounds of reuse, the degradation rate for immobilized bacteria still reached as high as 36.5%, while it was only 8.9% for free bacteria. Our results indicated that the microorganisms immobilized on bamboo charcoal had long-term reusability, and thus had good prospects in the application of organic pollutants removal in wastewater.

Expression of Wnt/ß-catenin related genes after skeletal muscle contusion.

BACKGROUND: It was aimed to determine expressions of genes related to Wnt/ß-catenin signaling for evaluating time duration after skeletal muscle contusion. METHODS: Pathological change of skeletal muscle was observed after H-E staining. mRNA of respective genes was quantified with real-time quantitative PCR. Expression of ß-catenin was further characterized with immunostaining and quantified as intensity/area and further immune blotting and quantified as grey intensity normalized to loading control (GADPH). RESULTS: After injury, skeletal muscle exhibited prominent inflammatory response, hyperplasia and regeneration. Infiltration of inflammatory cell, formation of myotube and maturation of skeletal muscle fiber were observed under HE staining. Expression of FZD4, Myo D, Myf5 changed during early stages after injury and could serve to evaluate injury within 24 h; Expression of SFRP5 and Fra1 changed during early-to-intermediate stages after injury and could serve to evaluate injury within 12-48 h; Expression of MRF4 changed during intermediate stages after injury and could serve to evaluate injury within 36-48 h; Expression of ß-catenin changed during intermediate stages after injury and could serve to evaluate injury within 36 h-3 d; Expression of MyoG changed during late stages after injury and could serve to evaluate injury within 48 h-7 d. Immunostaining experiments showed that 36 h after injury, membrane ß-catenin decreased while nucleus ß-catenin increased. CONCLUSION: Wnt/ß-catenin related genes are involved in regeneration of skeletal muscle after contusion. The sequential changes of gene expression can be used for evaluating the duration after contusion.