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Diagnostic Value of Specialist Systems in Sports Knee Injuries.

Chen X, Yu A, Cai N … +2 more , Wei S, Tong Y

Scanning · 2022 · PMID 36105552 · Full text

In order to explore the diagnostic effect of the expert system in knee sports injury, a method of diagnostic value of expert system in sports knee sports injury is proposed. This paper mainly takes 200 professional footb... In order to explore the diagnostic effect of the expert system in knee sports injury, a method of diagnostic value of expert system in sports knee sports injury is proposed. This paper mainly takes 200 professional football players in sports higher vocational colleges as the research object. There are 146 male athletes and 44 female athletes; we establish a football injury ontology knowledge base and use a reasoning engine to build an intelligent expert system diagnosis system, allowing users to quickly discover diseases, accurately diagnose injuries, and obtain the best means of rehabilitation. Through the investigation, it can be seen that the body parts caused by football injuries are more complex, and the types of injuries in each part are also different. Therefore, it is particularly important to establish an intelligent retrieval system with convenient query and clear diagnosis by the expert system. With the birth and development of computer and artificial intelligence technology, the development of artificial intelligence expert systems in the medical field has become a reality. The construction of this system will have theoretical and practical significance and application value.

Postoperative Nursing and Functional Rehabilitation of Ultrasound Diagnosis of Lower Rotator Cuff Injury.

Hou R

Scanning · 2022 · PMID 36105551 · Full text

In order to explore the postoperative nursing effect and functional rehabilitation of rotator cuff repair under ultrasound diagnosis, a method of nursing and rehabilitation functional training for athletes' wrist injury... In order to explore the postoperative nursing effect and functional rehabilitation of rotator cuff repair under ultrasound diagnosis, a method of nursing and rehabilitation functional training for athletes' wrist injury under the assistance of microscopic B-ultrasound was proposed. This study retrospectively analyzed the therapeutic effect of tendon anastomosis in 237 patients with wrist tendon injury, adopted nursing measures such as health education and functional exercise, and observed its clinical effect. The results showed that after 3-6 months of follow-up, all patients had satisfactory recovery of tendon function. Of these, 132 patients recovered well. 84 patients recovered well. The excellent and good rate of patients was 91%. Ultrasound diagnosis of rotator cuff repair combined with functional exercise promotes good recovery of shoulder joint function in patients.

Hydrothermal Corrosion of SiC Coupons Suppressed by Magnetron Sputtered Cr Coatings.

Dai S, Zou Z, Wang R … +4 more , Li Y, Li B, Ge F, Li P

Scanning · 2022 · PMID 36105550 · Full text

SiC-based components are sometimes susceptible to aqueous dissolution in LWR coolant environments. To address this issue, ~10 m thick Cr coatings was deposited on reaction-bonded silicon carbide (RBSC) plates by magnetro... SiC-based components are sometimes susceptible to aqueous dissolution in LWR coolant environments. To address this issue, ~10 m thick Cr coatings was deposited on reaction-bonded silicon carbide (RBSC) plates by magnetron sputtering. Corrosion behavior of Cr-coated SiC and -uncoated SiC coupons was studied by immersing in autoclave (345°C and 16.5 MPa). The weight loss of the Cr coated SiC coupons (3.02% after the 93-days) in the autoclave tests was effectively reduced due to their Cr-coated surfaces, in contrast to the uncoated ones (20.4% after the 78-days). Moreover, microstructural and compositional evolutions were examined by using scanning electron microscopy (SEM), X-ray diffraction (XRD), and Raman spectroscopy. It was revealed that a continuous and dense CrO layer formed on the surface after the hydrothermal corrosion, which can suppress the in-diffusion of corrosive medium.

Injury Prevention Effect of MRI Imaging Technology in Physical Education and Sports Training.

Liu J

Scanning · 2022 · PMID 36105549 · Full text

In order to solve the problem of observing and analyzing the clinical value of MRI diagnosis in patients with knee sports injury and guiding clinical targeted treatment, the author proposed a sports injury prevention met... In order to solve the problem of observing and analyzing the clinical value of MRI diagnosis in patients with knee sports injury and guiding clinical targeted treatment, the author proposed a sports injury prevention method in sports training teaching based on MRI image observation. This method retrospectively analyzed the imaging data of 101 patients with knee joint MRI examination due to osteoarthritis, sports injury and synovitis in joint surgery, and arthroscopic exclusion of true meniscus tear, MR multisequence and multiplane scans were performed to observe the anatomical features of TGL and MFL images and the occurrence rate of the lateral meniscus "false tear sign," and the test was used to compare the occurrence rate of "pseudo-tear sign" between genders and sides. Experimental results show that the incidence of TGL on MRI was about 67.3% (68/101), and the incidence of "pseudo-tear sign" in the anterior horn of the lateral meniscus caused by TGL was 2.9% (2/68). The overall appearance rate of MFL on MRI was 91.1% (92/101), the appearance rate of plate anterior ligament (HL) was 13.9% (14/101), and the occurrence rate of "pseudo-tear sign" in the posterior horn of the lateral meniscus caused by HL was 7.1% (1/14). The occurrence rate of the posterior ligament (WL) was 77.2% (78/101), and the incidence of "pseudo-tear sign" in the posterior horn was 20.5% (16/78). According to the shape and course of TGL and MFL on MRI, and the direction and position of the lateral meniscus pseudotear, combined with MRI sagittal plane and coronal plane observation, it can effectively identify the true and false attributes of lateral meniscus anterior and posterior horn tears, thereby reducing unnecessary surgical treatment.

Intelligent Scanning Detection System of Muscle Exercise Fatigue Based on Surface Electromyography.

Wang W

Scanning · 2022 · PMID 36101524 · Full text

In order to use the surface EMG signal to detect the muscle fatigue state, a research method of the muscle exercise fatigue intelligent scanning detection system based on surface EMG was proposed, and the sEMG signal fe... In order to use the surface EMG signal to detect the muscle fatigue state, a research method of the muscle exercise fatigue intelligent scanning detection system based on surface EMG was proposed, and the sEMG signal features of 10 subjects before and after fatigue were extracted. A time-varying parameter autoregressive model is established. By introducing the Legendre basis function, the parameter identification of the linear nonstationary process is transformed into the parameter identification of the linear time-invariant system. Combined with the correlation index, the optimal Legendre base function dimension of the time-varying system parameter estimation can be obtained, then the best model fitting effect can be obtained, and the time-invariant parameters are solved by the least square method. Using the rate of change of the first time-varying parameter (ARC1) of the autoregressive model before and after fatigue as an index to detect muscle fatigue sensitivity, a two-tailed test was used to compare the mean power frequency (MPF) and the median frequency (MF) with the rate of change. The results showed that the change rates of ARC1, MPF, and MF before and after fatigue were34.33% ± 2.5%, 68% + 2.03%, and 22.80% + 2.19%, which were 41% and 25%, respectively. The rate of change of ACR1 was significantly higher than that of MPF and MF ( < 0.05). When detecting muscle fatigue by sEMG signal, it has the advantages of short time and high sensitivity. It can be used for online real-time analysis of muscle fatigue, providing a potential analysis tool for limb muscle strain, rehabilitation, and ergonomics assessment.

Image Effect Observation of Acanthopanax senticosus on Antifatigue Activity after Exercise.

Zhang X, Zhu W

Scanning · 2022 · PMID 36101523 · Full text

In order to explore the effect of Acanthopanax senticosus on antifatigue activity after exercise, this paper proposes an image effect observation based on the effect of Acanthopanax senticosus on antifatigue activity aft... In order to explore the effect of Acanthopanax senticosus on antifatigue activity after exercise, this paper proposes an image effect observation based on the effect of Acanthopanax senticosus on antifatigue activity after exercise. This method recommends key technical problems and solutions based on the information represented by image effect observation and explores the influence of Acanthopanax senticosus on antifatigue after exercise. Through the retrospective analysis of certain personnel, it is shown that the image effect observation based on the influence of Acanthopanax senticosus on the antifatigue activity after exercise is about 25% more accurate than the traditional method. Most of the active ingredients of Acanthopanax senticosus have phenolic hydroxyl groups, which can resist oxidation, fatigue, focus attention, and reduce work mistakes. This experiment shows that after sleep deprivation, the antioxidant capacity of the body decreases with time. Acanthopanax senticosus extract can significantly improve the above symptoms and fight fatigue.

Discuss the Application of Data Services in Data Health Management of High-Risk Pregnant and Lying-In Women in Smart Medical Care.

Shen L, Shi W, Cai L … +2 more , An J, Ling Q

Scanning · 2022 · PMID 36082174 · Full text

OBJECTIVE: In order to improve the refined management of hospitals, promote the scientific development of smart hospitals in medical institutions, and solve the problem of data filling and reporting that is increasing ye... OBJECTIVE: In order to improve the refined management of hospitals, promote the scientific development of smart hospitals in medical institutions, and solve the problem of data filling and reporting that is increasing year by year in the country, province, and city. METHODS: A total of 84 high-risk pregnant women admitted to our hospital from January 2020 to October 2021 were selected and screened for high-risk pregnant women. Risk pregnant women were divided into a routine intervention group and a DS medical group, with 42 cases in each group. High-risk pregnant women in the routine intervention group received routine intervention, and the DS medical group applied data to serve smart medical services on the basis of routine intervention. The scores of self-care, anxiety, and depression were compared between the two groups, the coping styles were analyzed, the satisfaction rate and incidence of adverse conditions of the high-risk puerperae were recorded, and the delivery methods of the two groups were compared. RESULTS: After the intervention, the activities of daily living, follow-up, fetal monitoring, and self-protection behaviors in the DS medical group were higher than those in the routine intervention group, and the difference was statistically significant ( < 0.05). The scores of anxiety and depression in the group were lower, with statistical significance ( < 0.05); after the intervention, the scores of negative coping styles in the DS medical group were lower than those in the conventional intervention group, while the scores for positive coping styles were higher than those in the conventional intervention group; the DS medical group had higher risk. The satisfaction of pregnant women was significantly higher than that of the routine intervention group, and the difference was statistically significant ( < 0.05); the overall incidence of adverse maternal outcomes among high-risk pregnant women in the DS medical group was lower than that of the routine intervention group, and the difference was not statistically significant ( > 0.05). Compared with the routine group, the DS medical group had a higher number of vaginal deliveries and a lower number of cesarean deliveries, and the difference was statistically significant ( < 0.05). CONCLUSION: The application of data services in a smart medical high-risk maternity-related data management platform enables the promotion of high-risk pregnant women's self-care behaviors and improves negative emotions, enables them to cooperate in delivery with positive behaviors, and reduces the number of cases of cesarean delivery.

The Effect of CT Imaging Technology in the Diagnosis of Thoracic and Cardiac Surgery Diseases.

Yang M, Qian H, Zhang D … +1 more , Gui Y

Scanning · 2022 · PMID 36082173 · Full text

In order to increase doctors' cognition of the three-dimensional anatomical structure of cardiothoracic and cardiothoracic surgery and increase the diagnosis rate and cure rate of cardiothoracic surgery diseases, the aut... In order to increase doctors' cognition of the three-dimensional anatomical structure of cardiothoracic and cardiothoracic surgery and increase the diagnosis rate and cure rate of cardiothoracic surgery diseases, the authors propose a method of CT imaging technology for diagnosing cardiothoracic surgery diseases. Through the joint Hookwire positioning of 3D-CTBA, application in thoracoscopic segmentectomy and CT energy spectrum curve, retrospective analysis of diagnosis of intrathoracic lymph node metastasis in non-small-cell lung cancer, 3D-CTBA and CT-guided Hookwire localization, and preoperative CT-enhanced scanning were performed using two methods. The experimental results showed that the chest tube placement time, postoperative thoracic drainage volume, and postoperative hospital stay after the first operation all showed a good trend. The diagnostic sensitivity was 87.1%. The specificity was 92.6%. The correct index was 79.7%. The accuracy was 91.3%. The positive predictive value was 79.4%. And the negative predictive value was 95.7%. These data prove that CT imaging technology has high diagnostic value for thoracic and cardiac surgery diseases and can effectively help the formulation and implementation of thoracic and cardiac surgery diseases.

Changes of Volume Parameters in the Treatment of Graves Ophthalmopathy by Endoscopic Transethmoidal Decompression of the Orbital Inner Wall Combined with Fat Decompression.

Fu W

Scanning · 2022 · PMID 36082172 · Full text

OBJECTIVE: To observe the orbital volume changes and the analysis of surgical effect of Graves orbitopathy (GO) after endoscopic medial wall decompression combined with muscle cone fat. METHODS: Twenty-two patients (30 e... OBJECTIVE: To observe the orbital volume changes and the analysis of surgical effect of Graves orbitopathy (GO) after endoscopic medial wall decompression combined with muscle cone fat. METHODS: Twenty-two patients (30 eyes) with Graves orbital disease who visited the Department of Ophthalmology of Ningbo Medical Center from December 2019 to September 2021 were retrospectively collected. All patients were diagnosed as nonorganic active stage before operation, and all of them received endoscopic transethmoidal decompression of the medial orbital wall combined with intramuscular orbital fat decompression due to decreased vision, visual field defect or color vision disorder, and concomitant proptosis. Regular follow-up after operation. The curative effect is judged according to the degree of improvement of visual acuity, color vision, degree of correction of exophthalmos, diplopia, and other complications at 9 months after operation. Orbital CT combined with computer aided measurement software (Mimics 21) was used to measure the changes of orbital volume before and after exophthalmos surgery. The relationship between the value and eyeball regression is analyzed. RESULTS: Preoperative exophthalmos ranged from 17.4 mm to 27.6 mm, with an average of (22.08 ± 2.86) mm. The postoperative exophthalmos was 14-25 mm, with an average of (19.52 ± 3.10) mm. Among them, 7 eyes (23.3%) had exophthalmos regression less than 1 mm, 6 eyes (20%) had a regression of 1-2 mm, 7 eyes (23.3%) had a regression of 2-3 mm, 5 eyes (16.7%) had a regression of 3-4 mm, and 5 eyes (16.7%) had a regression of 4-5.3 mm. The exophthalmos after operation was significantly lower than that before operation, and the difference was statistically significant ( = 9.909, < 0.05). The preoperative orbital volume was 18.6 cm-25.3 cm with an average of (22.39 ± 1.91) cm. The postoperative orbital volume was 19.8 cm-26.6 cm, with an average of (23.89 ± 1.90) cm.The orbital volume change range is 0.1 cm-3.8 cm, and the average orbital volume change is (1.51 ± 1.00) cm. Compared with preoperative orbital volume, the difference was statistically significant ( = -8.074, < 0.05). CONCLUSION: Endoscopic decompression of the medial orbital wall through the ethmoid approach combined with decompression of the orbital fat within the muscle cone can effectively correct the exophthalmos while decompressing the orbital apex, and it is minimally invasive and has no facial scars. It has the advantages of extremely low incidence of postoperative diplopia and eye shift. There is a significant correlation between orbital volume changes and the regression of exophthalmos, which can provide reference for clinical guidance of surgical methods and prediction of surgical results.

Optimal Cellular Microscopic Pattern Recognizer- (OCMPR-) Based Wireless Detection Network for Efficiently Leveraging the Parallel Distributed Processing Capabilities.

Kaleeswaran D, Kavitha R

Scanning · 2022 · PMID 36072309 · Full text

Recognizing patterns associated with particular events enables the detection of specific critical changes in the events. Due to the resource constraints inherent in WSNs, pattern recognition is highly dependent on the co... Recognizing patterns associated with particular events enables the detection of specific critical changes in the events. Due to the resource constraints inherent in WSNs, pattern recognition is highly dependent on the complexity of the computation, the number of iterations, and the requirements for node training. Iterative learning is frequently used in computer-based computer vision. As a result, these methods are in conflict with the perfectly alright architecture of the WSN. The proposed technique, Optimal Cellular Microscopic Pattern Recognizer (OCMPR), enables the detection of macroscale events in WSN. Using the distributed system computational resources of WSNs, the approach reduces calculations for conserving energy and improves recognition. The method generates promising results by combining a well-known optimization technique (the genetic algorithm) with CMPR. This approach addresses the resource-constrained WSN's real-time mission-critical application needs. Global and quick recognition is achieved by dispersing processing over a network's nodes, allowing for loosely connected communication. The results demonstrate the suggested scheme's versatility.

Effect of Running Exercise on Brain Functional Magnetic Resonance Characteristics of College Students with Depression.

Li W, Yang J

Scanning · 2022 · PMID 36051256 · Full text

In order to effectively reduce the incidence of depression in college students, the author proposes a method to influence brain functional magnetic resonance through running exercise. Aiming at the effect of running exer... In order to effectively reduce the incidence of depression in college students, the author proposes a method to influence brain functional magnetic resonance through running exercise. Aiming at the effect of running exercise on the brain functional magnetic resonance characteristics of depression in college students, through the comparison experiment between the MDD group and the HC group and the retrospective analysis of the sugar water preference experiment in rats, explore it in depth. Experimental results show that under the running exercise for six consecutive weeks, the average body weight of the rats in the depression model group was significantly lower than that in the blank control group, and the health status was significantly better than that in the blank group. Running exercise can effectively affect and reduce the incidence of depression in college students.

Nursing Education of Lateral Oblique Complications of Neurosurgery under Microscope.

Hu K

Scanning · 2022 · PMID 36051255 · Full text

In order to solve the problem of nursing education of lateral oblique complications, a nursing education solution of lateral oblique complications of neurosurgery under the microscope was proposed. The method used subjec... In order to solve the problem of nursing education of lateral oblique complications, a nursing education solution of lateral oblique complications of neurosurgery under the microscope was proposed. The method used subjective evaluation and objective evaluation to systematically evaluate the basic training module. In subjective evaluation, the authenticity score of surgical simulator was 3.65 ± 0.01, the realism score of surgical instruments was 3.81 ± 0.01, the realism score of tactile sense was 3.75 ± 0.01, the operating environment score was 3.60 ± 0.01, and the overall effect score was 3.63 ± 0.01. The difficulty score of the whole training was 3.15 ± 0.01. In the aspect of objective evaluation, the entropy method was used to process the data of training track, training angle, training time, trigger times, success times, failure times, and other indicators of 24 trainers collected, and the experiment verified the nursing education of lateral oblique complications of neurosurgery under the microscope.

Effect of Rehabilitation Physical Training on Basketball Injury under Ultrasound Examination.

E W, Yu Q

Scanning · 2022 · PMID 36042982 · Full text

In order to solve the problem of observing the effect of rehabilitation physical training on basketball player injury, a kind of observation study on the effect of rehabilitation physical training on basketball player in... In order to solve the problem of observing the effect of rehabilitation physical training on basketball player injury, a kind of observation study on the effect of rehabilitation physical training on basketball player injury based on memory ultrasound examination was proposed. This study makes a comprehensive analysis of physical fitness training factors such as physical fitness test plan, training arrangement, training method, training monitoring, and effect evaluation. Through the experiment, it is found that there are still gaps in physical training, diagnostic standards, training plans and requirements, load monitoring, standardization of operation, nutrition, and recovery in the training organization. There are only 23.81% of full-time physical coaches and 25.40% of professional team doctors at all levels of sports teams. There were only 23.81% of full-time physical fitness coaches and 25.40% of professional team doctors in all levels of sports teams. Basketball players in the basketball injury survey had 67 sports injuries throughout the year, with a rate of 3.35 injuries per person and 2.48 injuries per 1000 hours. The location of chronic injuries is usually the lower back, knee joint, and ankle. The main injuries are due to the physical component, with injuries occurring most frequently throughout the training season in July, August, and September. Experiments show that good and professional physical training can reduce the risk of injury to a greater extent than strengthening the specific skills of athletes.

Observation on the Effect of Rehabilitative Physical Training on Ice and Snow Sports Injury under Ultrasound Examination.

Wang Y, Zhou Y

Scanning · 2022 · PMID 36042981 · Full text

In order to solve the problem of rehabilitative physical training on ice and snow sports injuries, the author proposed an observation method using ultrasonography to be proposed. This method selects patients with anterio... In order to solve the problem of rehabilitative physical training on ice and snow sports injuries, the author proposed an observation method using ultrasonography to be proposed. This method selects patients with anterior talofibular ligament injury treated in a hospital, forty-nine patients who did not undergo conventional rehabilitation under the surveillance of sports medicine ultrasound were set as the control group, a total of 49 patients with anterior talofibular ligament injury who underwent rehabilitation treatment under the monitoring of sports medicine ultrasound were selected as the experimental group, and the clinical efficacy of the two groups of patients was retrospectively analyzed, in order to discuss the application value of sports medicine ultrasound in the rehabilitation of anterior talofibular ligament injury. The results showed that comparing the rehabilitation effect, ankle function score, and daily living ability of the two groups of patients, the experimental group was better than the control group. Comparing the thickness of ligament and effusion between the two groups, the experimental group was also better than the control group, and the difference was statistically significant ( < 0.05). Ultrasound medical examination can help doctors to effectively judge the degree of injury and recovery of patients, and doctors can adjust the treatment plan in time according to the examination results and formulate an effective rehabilitation plan, which can greatly shorten the recovery time of patients, improve the treatment effect, promote the functional recovery of the ankle joint, and reduce the occurrence of complications.

Sports Medical Image Modeling of Injury Prevention in Wushu Training.

Feng Y

Scanning · 2022 · PMID 36034471 · Full text

In order to solve the problem of injury prevention in Wushu training, this paper proposes a research on modeling using sports medical images. The main content of this technology research is to drive the muscle strength m... In order to solve the problem of injury prevention in Wushu training, this paper proposes a research on modeling using sports medical images. The main content of this technology research is to drive the muscle strength modeling method based on the sports medical image data. According to the acquisition of MRI/CT images, through the research and application of DFIS, it is concluded that the research on sports medical image modeling has a high accuracy for injury prevention in Wushu training. The experimental results show that translation accuracy ≤ 0.03~0.27, rotation accuracy ≤ 0.24~0.63, flexion and extension accuracy ≤ 0.1, translation retest error ≤ 0.2~1.2, rotation retest error ≤ 0.5~3.4, rotation retest accuracy ≤ 0.4~1.04, and sports medical images have a high accuracy for injury prevention in Wushu training. It is proved that the research on sports medical image modeling is effective and accurate for the problem of injury prevention in Wushu training.

DSA Image Analysis of Clinical Features and Nursing Care of Cerebral Aneurysm Patients Based on the Deep Learning Algorithm.

Wang J, Ti L, Sun X … +3 more , Yang R, Zhang N, Sun K

Scanning · 2022 · PMID 36034470 · Full text

OBJECTIVE: A deep learning algorithm was developed for automatic detection and localization of intracranial aneurysms in DSA, and its clinical characteristics were analyzed, and targeted nursing measures were formulated.... OBJECTIVE: A deep learning algorithm was developed for automatic detection and localization of intracranial aneurysms in DSA, and its clinical characteristics were analyzed, and targeted nursing measures were formulated. METHODS: Using a retrospective multicenter study method based on radiology reports, DSA images of aneurysms were randomly divided into 75 cases in the training set, 20 cases in the internal test set, and 35 cases in the external test set. Using a computer-aided detection method based on the three-dimensional U-Net (3D U-Net), after preprocessing DSA images, automatic segmentation of intracranial blood vessels is performed to obtain regions of interest, and based on the segmentation results, physicians' annotations are introduced. The 3D U-Net network model is trained and adjusted, and the obtained model is used to automatically detect the cerebral aneurysm area. RESULTS: Fivefold cross-validation was used for the training set and the internal test set, and a sensitivity of (94.4 ± 1.1)% was obtained. Automatic detection of aneurysms was performed on the external test set, and the average false positive rate was 0.86 FPs/case (false positives/case). The resulting sensitivity was 82.9%. The classification comparison of external test sets showed that the sensitivity of the method for detecting aneurysms with sizes of 5.00~<10.00 mm and ≥10.00 mm (88.2% and 100.0%) was higher than that for aneurysms with sizes of <3.00 mm and 3.00~<5.00 mm (50.0% and 72.7%). The sensitivity of patients aged 50-60 years and >60 years (90.0% and 87.5%) was higher than that of patients aged <50 years (66.7%), and there was little difference between different genders (84.6% in males and 81.8% in females). CONCLUSION: The deep learning algorithm has high diagnostic performance in detecting intracranial aneurysms, which is verified by external datasets.

Adhesive Bond Integrity of Experimental Zinc Oxide Nanoparticles Incorporated Dentin Adhesive: An SEM, EDX, TBS, and Rheometric Analysis.

Alfaawaz YF, Alamri R, Almohsen F … +6 more , Shabab S, Alhamdan MM, Al Ahdal K, Farooq I, Vohra F, Abduljabbar T

Scanning · 2022 · PMID 36016673 · Full text

OBJECTIVE: Our study is aimed at preparing an experimental adhesive (EA) and assessing the influence of adding 5-10 wt.% concentrations of zinc oxide (ZnO) nanoparticles on the adhesive's mechanical properties. METHODS:... OBJECTIVE: Our study is aimed at preparing an experimental adhesive (EA) and assessing the influence of adding 5-10 wt.% concentrations of zinc oxide (ZnO) nanoparticles on the adhesive's mechanical properties. METHODS: Field emission scanning electron microscopy (FESEM) and energy dispersive X-ray (EDX) spectroscopy were employed to investigate the morphology and elemental distribution of the filler nanoparticles. To examine the adhesive properties, microtensile bond strength (TBS) testing, an investigation of the rheological properties, degree of conversion (DC), and analysis of the interface between the adhesive and dentin were carried out. RESULTS: The SEM micrographs of ZnO nanoparticles demonstrated spherical agglomerates. The EDX plotting confirmed the incidence of Zn and oxygen (O) in the ZnO nanoparticles. The highest TBS was observed for nonthermocycled (NTC) 5 wt.% ZnO group (32.11 ± 3.60 MPa), followed by the NTC-10 wt.% ZnO group (30.04 ± 3.24 MPa). Most of the failures observed were adhesive in nature. A gradual reduction in the viscosity was observed at higher angular frequencies, and the addition of 5 and 10 wt.% ZnO to the composition of the EA lowered its viscosity. The 5 wt.% ZnO group demonstrated suitable dentin interaction by showing the formation of resin tags, while for the 10 wt.% ZnO group, compromised resin tag formation was detected. DC was significantly higher in the 0% ZnO (EA) group. CONCLUSION: The reinforcement of the EA with 5 and 10 wt.% concentrations of ZnO nanoparticles produced an improvement in the adhesive's TBS. However, a reduced viscosity was observed for both nanoparticle-reinforced adhesives, and a negotiated dentin interaction was seen for 10 wt.% ZnO adhesive group. Further research exploring the influence of more filler concentrations on diverse adhesive properties is recommended.

Developments of Interfacial Measurement Using Cavity Scanning Microwave Microscopy.

Zhang Z, Wen H, Li L … +5 more , Pei T, Guo H, Li Z, Tang J, Liu J

Scanning · 2022 · PMID 36016672 · Full text

In the field of materials research, scanning microwave microscopy imaging has already become a vital research tool due to its high sensitivity and nondestructive testing of samples. In this article, we review the main th... In the field of materials research, scanning microwave microscopy imaging has already become a vital research tool due to its high sensitivity and nondestructive testing of samples. In this article, we review the main theoretical and fundamental components of microwave imaging, in addition to the wide range of applications of microwave imaging. Rather than the indirect determination of material properties by measuring dielectric constants and conductivity, microwave microscopy now permits the direct investigation of semiconductor devices, electromagnetic fields, and ferroelectric domains. This paper reviews recent advances in scanning microwave microscopy in the areas of resolution and operating frequency and presents a discussion of possible future industrial and academic applications.

Influence of Comprehensive Nursing Intervention Combined with WeChat Platform Propaganda and Education of ERAS Concept on Postoperative Functional Recovery of Patients with Gallbladder Polyps.

Zhang Y, Guo D, Yang X … +7 more , Sun X, Dong Y, Zhang J, Gao Y, Guo Z, Zhou H, Li Q

Scanning · 2022 · PMID 36016671 · Full text

To analyze the effect of comprehensive nursing intervention based on ERAS's concept in laparoscopic gallbladder polyp (GP) surgery on patients' postoperative quality of life and nursing job satisfaction. Ninety patients... To analyze the effect of comprehensive nursing intervention based on ERAS's concept in laparoscopic gallbladder polyp (GP) surgery on patients' postoperative quality of life and nursing job satisfaction. Ninety patients with polyps were included in this article until October 2021. In this format, the 45 cases are divided into governing bodies and committees according to their processing time. As recommended by the ERAS committee, the committee provides daily and patient care, as well as training on the WeChat platform. The pain level (visual analogue scale (VAS) score), the quality of life (life quality index (GLQI) score), and the incidence of complications were compared between the two groups before and after the intervention. The VAS score of the control group at 2 h after operation was lower than that of the control group, and the difference was statistically significant ( < 0.05). After the intervention, the GLQI scores of the two groups were higher than those before the intervention, and the GLQI scores of the control group were higher than those of the control group, with significant differences (all < 0.05). Studies have shown that comprehensive nursing intervention applied to patients with gallbladder polyps can reduce postoperative pain with less complications and can also improve nursing satisfaction, which is worthy of clinical promotion.

High-Intensity Injury Recognition Pattern of Sports Athletes Based on the Deep Neural Network.

Chen N, Zhang Y

Scanning · 2022 · PMID 36016670 · Full text

In order to solve the problem of low efficiency and accuracy of injury image recognition for sports athletes in high-intensity injury treatment, this paper proposes an injury recognition mode based on the deep neural net... In order to solve the problem of low efficiency and accuracy of injury image recognition for sports athletes in high-intensity injury treatment, this paper proposes an injury recognition mode based on the deep neural network. In this paper, the image of sports injury is converted to gray level, and the contour of the injury part in the image is extracted according to the combination of adaptive thresholding and mathematical morphology. In this model, the seed points are selected, the active contour is used to approximate the initial contour, and the curve fitting method is used to fit the obtained discrete points to obtain the final damaged contour. The digital matrix is constructed by using the extracted number of pixels at the damaged position and relevant information. The images are arranged into feature vectors with a length of 64 according to the mode of column concatenation. The overall mean vector of the image is calculated. The calculation results, training samples, and image samples to be recognized are substituted into the Euclidean distance to obtain the preliminary recognition results of the damaged position of the image of sports injury. Then, the image segmentation is realized by clustering. The clustering segmentation results are used to color describe the pixel categories of the original image, calculate the relative damage proportion area in the sports injury image, and identify the damage parts of the high-intensity sports injury image. The experimental results show that the recognition rate of the neural network is 80%-100%, and the recognition time of this method is 0-0.6/s. The above method can improve the accuracy of the recognition of the damaged part of the sports injury image and shorten the recognition time and has certain feasibility in determining the sports injury part.
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