bluuebunny/crossref_metadata_2025 huggingface dataset:
Contrast-Enhanced Ultrasound and Magnetic Resonance Enhancement Based on Machine Learning in Cancer Diagnosis in the Context of the Internet of Things Medical System
Authors: Zhou Guo , Zhang Yongliang , You Yijuan , Wang Binghua , Wang Simin , Yang Chong , Zhang Yu , Liu Jun
Published: July 2022

As an accurate, safe, and effective noninvasive examination method, imaging examination has been widely used in the diagnosis and differential diagnosis of focal liver lesions. Enhanced ultrasonography (CEUS), enhanced CT (CECT), and enhanced magnetic resonance imaging (CEMRI) are the most commonly used enhanced imaging methods in clinical practice, all of which can accurately determine the nature of liver lesions. The purpose of this paper is to study the application of contrast-enhanced ultrasound and magnetic resonance enhancement in cancer diagnosis based on the Internet of Things medical system. The basic clinical data, CEUS, and enhanced CT/MRI findings of 120 CHC patients were retrospectively analyzed. The clinicopathological features of CHC patients were investigated by contrast-enhanced ultrasonography and CT/MRI enhanced mode. The diagnostic value of contrast-enhanced ultrasound and enhanced CT/MRI combined with tumor markers in CHC was analyzed. The experimental results showed that the sensitivities of CEUS, enhanced MRI, and their combination in diagnosing CHC were 72.44%, 81.56%, and 93.78%, respectively. This experiment has an important value in the diagnosis of primary liver cancer.
Deep Learning Dual Neural Networks in the Construction of Learning Models for Online Courses in Piano Education
Authors: Lei Shijun , Liu Huiming
Published: July 2022

The use of deep learning (DL) and artificial intelligence (AI) in teaching children piano lessons promotes modern piano instruction and enhances the overall quality of education. To begin, a more thorough explanation of the teaching environment and the intelligent piano’s features is provided. Then, a method for detecting the onset of a piano note using a Dual Neural Network (DNN) is proposed. By transforming the original time-domain waveform of the piano music signal into a frequency distribution that changes with time, the network can analyze the input signal’s time-frequency. Finally, the intelligent piano teaching method combines deep learning with artificial intelligence (AI) to produce the best possible results for students learning the piano instrument. For children and their parents alike, it is a favorite, and it significantly impacts their interests. The proposed model has a 94% overall accuracy rate.
Reviewing the Past, Present, and Future Risks of Pathogens in Ghana and What This Means for Rethinking Infectious Disease Surveillance for Sub-Saharan Africa
Authors: Mahama Peter N-Jonaam , Kabo-Bah Amos Tiereyangn , Blanford Justine I. , Yamba Edmund Ilimoan , Antwi-Agyei Prince
Published: July 2022

The current epidemiological transition makes us wonder how the parallel of infectious diseases (IDs) might be at the end of each passing year. Yet, the surveillance of these IDs continues to focus on high-profile diseases of public health importance without keeping track of the broad spectrum of the IDs we face. Here, we presented the prevalence of the broad spectrum of IDs in Ghana. Data from the annual reports on Gold Coast now Ghana, Global Infectious Diseases and Epidemiology Network (GIDEON), and the District Health Information Management System II (DHIMS2) databases were examined for records of ID prevalence in Ghana. Using the IDs from these databases, the paper assessed the epidemiological transition, pathogen-host interactions, spatiotemporal distribution, transmission routes, and their potential areas of impact in Ghana. The topmost ID recorded in health facilities in Ghana transitioned from yaws in the 1890s to malaria in the 1950s through 2020. We then presented the hosts of a pathogen and the pathogens of a host, the administrative districts where a pathogen was found, and the pathogens found in each district of Ghana. The highest modes of transmission routes were through direct contact for bacteria and airborne or droplet-borne for viral pathogens. From GIDEON, 226 IDs were identified as endemic or potentially endemic in Ghana, with 42% cited in peer-reviewed articles from 2000 to 2020. From the extent of risk of endemic or potentially endemic IDs, Ghana faces a high risk of ID burden that we should be mindful of their changing patterns and should keep track of the state of each of them.
[Retracted] Analysis of the Natural Conditions and Geographical Factors of the Formation of Hui‐Style Prints
Authors: Li Shangke
Published: July 2022

In order to analyze the natural conditions and geographical factors of the formation of Hui‐style prints, big data analysis technology is brought in, through which more audiences can understand the true meaning of Hui‐style printmaking, the internal system of Hui‐style printmaking during its operation can be improved, and artists can complete the analysis of natural conditions and geographical factors for the formation of Hui‐style prints by means of empirical analysis. In this way, during the implementation of artistic acts, the benefits of the city and even the society can be increased, and the social and economic benefits can be improved accordingly and involved in information management systems directionally, and the natural conditions and geographical factors related to the formation of Hui‐style prints can be deeply analyzed, so as to ensure that the formation of Hui‐style prints has a social and economic promotion.
Clinical Effect of Emergency Dermabrasion Combined with Biological Dressing A on Wound Microcirculation and Preventing Sepsis in Deep Degree-II Burns
Authors: Shao Huawei , Luo Ru , You Chuangang , Li Qiong , Mao Shulei
Published: July 2022

Objective. The aim of this study is to explore the clinical effect of emergency dermabrasion combined with biological dressing A on wound microcirculation and preventing sepsis in deep degree-II burns. Methods. A total of 90 patients with deep degree-II burns admitted to the hospital were retrospectively enrolled between January 2020 and January 2022. According to different treatment methods, they were divided into the control group (42 cases, biological dressing A) and the observation group (48 cases, emergency dermabrasion combined with biological dressing A). The clinical curative effect in both groups was observed. The wound repair rate and wound healing quality, and changes in levels of wound microcirculation-related indexes (serum epidermal growth factor (EGF), wound blood flow, and partial pressure of transcutaneous oxygen) and inflammatory cytokines (C-reactive protein (CPR), interleukin-6 (IL-6), erythrocyte sedimentation rate (ESR), and procalcitonin (PCT)) before treatment, at 3d and 7d after treatment were compared between the two groups. The incidence of wound infection and sepsis in both groups was recorded. Results. The wound healing time in the observation group was significantly shorter than that in the control group, and wound healing quality in the observation group was better than that in the control group (

P
<
0.05

). At 3 d and 7d after treatment, the levels of serum EGF, wound blood flow and partial pressure of transcutaneous oxygen in both groups were all increased (

P
<
0.05

), which were higher in the observation group than those in the control group (

P
<
0.05

). The levels of CRP, IL-6, ESR, and PCT in both groups were all decreased (

P
<
0.05

), which were lower in the observation group than those in the control group (

P
<
0.05

). There was no significant difference in incidence of sepsis between observation group and control group (4.17% (2/48) vs. 7.14% (3/42)) (Fisher = 0.539). Conclusion. Emergency dermabrasion combined with biological dressing A can effectively improve wound microcirculation in patients with deep degree-II burns, promote wound healing, shorten wound healing time, improve wound healing quality, effectively control inflammatory response, and prevent sepsis.
State Evaluation Method of Distribution Equipment Based on Health Index in Big Data Environment
Authors: Xue Fei , Li Xutao , Wang Xiaoli , Wang Chao , Li Hongqiang , Zhang Di
Published: July 2022

Aiming at the problems of time-consuming and low accuracy in the existing state evaluation methods of distribution equipment, a state evaluation method of distribution equipment based on health index in big data environment is proposed. Firstly, in order to optimize the time-consuming of big data analysis on large-scale and distributed clusters, a distribution equipment condition monitoring data platform in big data environment is designed, and a hive based relational online analysis method (ROLAP) is proposed. Secondly, the health index (HI) is introduced as the evaluation index to evaluate the health status of distribution equipment. According to the different influence degree of different fault factors on the equipment status, a comprehensive multifactor fault rate correction model is obtained, and the method based on success flow is used to solve the model to improve the accuracy of state evaluation. Finally, experiments show that when the data volume of distribution equipment is 60 GB, the time of the proposed method is only 30.0 s, which is far lower than 73.6 s and 82.5 s of the comparison method. The evaluation accuracy of the proposed method is 95.1%, while the evaluation accuracy of the comparison method is only 82.4% and 73.1%, respectively. Therefore, the proposed method can effectively improve the efficiency of distribution equipment condition evaluation.
Effect of Nursing Intervention on Self-Management and Quality of Life in Patients with Chronic Kidney Disease Evaluated by Renal Diffusion Tensor Imaging Features Using Image Registration Algorithm
Authors: Zhou Zongqiong
Published: July 2022

The aim of this research was to explore the effect of nursing intervention on self-management and quality of life in patients with chronic kidney disease (CKD) by using the renal diffusion tensor imaging (DTI) feature of image registration algorithm. A total of 100 patients with CKD were randomly divided into experimental group (nursing maintenance guidance intervention) and control group (routine nursing), with 50 cases in each group. The image effect before and after registration, self-management behavior after 6 months, quality of life, DTI-related parameters, and renal function indicators were collected and analyzed. The results showed that the images were clearer than those before registration, the self-management ability in the control group (92.81 ± 19.32) was smaller than that in the experimental group (107.12 ± 18.78), the quality of life in the experimental group (121.47 ± 11.21) was greater than that in the control group (104.89 ± 12.11), and the corresponding magnetic resonance apparent diffusion coefficient (ADC) (2.54 ± 0.28) and fractional anisotropy (FA) (0.28 ± 0.07) in the cortex were greater than those in the control group (2.35 ± 0.21, 0.23 ± 0.04). The differences were statistically significant (

P
<
0.05

). The corresponding ADC value (2.32 ± 0.22) and FA value (0.59 ± 0.02) of medulla were greater than those of the control group (2.12 ± 0.24 and 0.41 ± 0.17). The levels of serum creatinine (Scr) (μmol/L) (421.38 ± 42.78) and 24 h urinary protein (24 h-Upro) (mg/d) (1,836.7 ± 545.98) were lower than those of the control group, and the differences had statistical significance (

P
<
0.05

). In summary, the registration algorithm can enhance the effect of image presentation and nursing intervention has positive significance for the self-management and quality of life of patients with CKD.
Preclinical Evaluation of an Activity-Based Probe for Intraoperative Imaging of Esophageal Cancer
Authors: Kennedy Gregory T. , Azari Feredun S. , Nadeem Bilal , Chang Ashley , Segil Alix , Bernstein Elizabeth , Desphande Charuhas , Kucharczuk John C. , Delikatny Edward J. , Singhal Sunil
Published: July 2022

Background. Early detection and complete resection are important prognostic factors for esophageal cancer (EC). Intraoperative molecular imaging (IMI) using tumor-targeted tracers is effective in many cancer types. However, there are no EC-specific IMI tracers. We sought to test a cathepsin activity-based tracer (VGT-309) for EC resection. Methods. Murine (AKR, HNM007) and human (OE19) EC cell lines were screened for cathepsin expression by western blotting. In vitro binding affinity of VGT-309 was evaluated by fluorescence microscopy. Flank tumor models were developed by injecting EC cells into the flanks of BALB/c or athymic nude mice. Mice pretreated with a cathepsin inhibitor (JPM-OEt) were used to confirm on target binding. Animals were injected with 2 mg/kg VGT-309, underwent IMI, and were sacrificed 24 hours after injection. Results. Cathepsins B, L, S, and X were expressed by EC cell lines, and all cell lines were labeled in vitro with VGT-309. Fluorescent signal was eliminated when cells were pretreated with JPM-OEt. On biodistribution analysis, VGT-309 accumulated in the liver, kidneys, and spleen without other organ involvement. VGT-309 selectively accumulated in flank allografts and xenografts, with mean signal-to-background ratio of 5.21 (IQR: 4.18-6.73) for flank allografts and 4.34 (IQR: 3.75-5.02) for flank xenografts. Fluorescence microscopy and histopathological analysis confirmed the selective accumulation of the tracer in tumors compared to background normal tissues. Conclusions. VGT-309 is an effective tracer for IMI of esophageal cancer. There is potential for clinical translation both as an adjunct to endoscopic detection and for complete removal of disease during esophagectomy.
Heavy-Duty Vehicle Braking Stability Control and HIL Verification for Improving Traffic Safety
Authors: Wang Fahui , Lu Yongjie , Li Haoyu
Published: July 2022

The braking failure of heavy vehicles under long downhill or curved conditions may cause traffic crash and reduce road traffic efficiency. Therefore, to improve the traffic safety and braking stability of vehicles under special road conditions, a braking dynamic model and control system based on the interval uncertainty analysis are proposed, and the safety of the active control model is verified by experiments (HIL). Firstly, the interval uncertain dynamic model is established based on the Monte Carlo method, and the braking failure simulation analysis of the right front wheel of heavy vehicles is carried out in the set of three uncertain intervals. Secondly, the fuzzy PID and sliding mode controller based on yaw and centroid error are designed to find the optimal control strategy from the two kinds of control strategies for HIL experiments. Finally, the actual control effect and feasibility of these control algorithms for heavy vehicle braking under special road conditions are verified by HIL experiments. The experimental results show that under the action of the fuzzy PID control strategy, the running stability of the vehicle is significantly improved compared with no control, which effectively reduces the risk of vehicle braking failure and improves the active safety and stability of the vehicle.
An Image Classification Algorithm Based on Hybrid Quantum Classical Convolutional Neural Network
Authors: Li Wei , Chu Peng-Cheng , Liu Guang-Zhe , Tian Yan-Bing , Qiu Tian-Hui , Wang Shu-Mei
Published: July 2022

Quantum machine learning is emerging as a strategy to solve real-world problems. As a quantum computing model, parameterized quantum circuits provide an approach for constructing quantum machine learning algorithms, which may either realize computational acceleration or achieve better algorithm performance than classical algorithms. Based on the parameterized quantum circuit, we propose a hybrid quantum-classical convolutional neural network (HQCCNN) model for image classification that comprises both quantum and classical components. The quantum convolutional layer is designed using a parameterized quantum circuit. It is used to perform linear unitary transformation on the quantum state to extract hidden information. In addition, the quantum pooling unit is used to perform pooling operations. After the evolution of the quantum system, we measure the quantum state and input the measurement results into a classical fully connected layer for further processing. We demonstrate its potential by applying HQCCNN to the MNIST dataset. Compared to a convolutional neural network in a similar architecture, the results reveal that HQCCNN has a faster training speed and higher testing set accuracy than a convolutional neural network.
Pupil Diameter Changes after Anesthesia with Different Doses of Sufentanil under Ultrasound Monitoring
Authors: Zhou Xue-Lan , Xing Li-Ji , Liu Hai-Rui , Qian Yu , Zhu Jiang , Xie Hong
Published: July 2022

Objective. This study aims to observe the changes in pupil diameter (PD) after anesthesia with different doses of sufentanil with the ultrasound method and observe whether pupil contraction is correlated with hemodynamic changes and bispectral index (BIS) values. Methods. A total of 124 patients between the ages of 18–65 with ASA I–II undergoing general anesthesia for surgery were enrolled in the study. According to the sufentanil dose initially injected, they were randomly divided into groups P, S1, S2, and S3, with 31 cases in each group. Group P was injected with normal saline. Group S1 was injected with 0.2 μg/kg of sufentanil. Group S2 was injected with 0.4 μg/kg of sufentanil. Group S3 was injected with 0.6 μg/kg of sufentanil. Following propofol administration and eye closure, the pupil diameter (PD) of the patients in the four groups was observed and measured by ultrasound after the loss of consciousness (T1) and within 3 min after the sufentanil injection at an interval of 30 s (30 s (T2), 1 min (T3), 1 min 30 s (T4), 2 min (T5), 2 min 30 s (T6), and 3 min (T7)). PD, systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), and BIS values at T1–T7 were recorded. Results. The ultrasonic method was used to observe that different doses of sufentanil could make the patients’ pupils contract. During anesthesia induction, the changes in PD have a positive correlation with SBP, DBP, HR, and BIS values. Conclusion. Ultrasound can become a new noninvasive method to monitor pupil changes during general anesthesia, and ultrasonic observation of pupil changes has great potential for individualized analgesia management in the perioperative period.
Adolescent Psychological Assistance Treatment Strategy Integrating Home-School Coordination and Network Information
Authors: Li Yaling
Published: July 2022

With the continuous satisfaction of material life, teenagers’ physical health has been generally improved, and all aspects of competition have posed a challenge to teenagers’ mental health. Therefore, both at the family level and at the school level, teenagers’ mental health education has been paid more and more attention. The school cooperative education model came into being, which has had an important impact on the mental health education of teenagers. Family education is the first level of education for teenagers. Parents’ role model, family education concept, and education model all play a key role in the development of children’s mental health. Based on this, this paper will focus on optimizing the home-school cooperation strategy, further clarify the main responsibilities of the school, teachers, and parents in the home-school cooperation education in the strategy, establish and improve the home-school cooperation mechanism based on this, and focus on the cultivation of parents’ mental health education and teachers’ mental health guidance professional skills in this process. Based on the current situation of network home-school mental health coordination and mental health education, this study takes teenagers as the research object, aiming at the common psychological problems in learning, social adaptation, and interpersonal communication, and tries to study the problems of promoting teenagers’ mental health from the perspective of integrity and development. The developed home-school collaboration method is to verify that the network home-school collaboration method is more effective than the traditional home-school collaboration method in promoting the mental health development of primary school students, so as to provide a reference for the theory and practice of home-school collaboration under the network environment to carry out mental health education. According to the corresponding network information intelligent algorithm, this paper constantly adjusts the coordination strategy between family and school and guides teenagers to internalize the corresponding excellent behaviour into their own habits. In the experimental part, the psychological assistance treatment scheme proposed in this paper is verified and analysed. The experimental results show that the psychological assistance treatment program for adolescents proposed in this paper has obvious effects. School education has a special mental health counseling center and special psychological teachers, which can carry out mental health education more scientifically. The unity and cooperation between family education and school education can combine the educational power of parents and schools to fully develop the mental health of teenagers.
[Retracted] Observation of Clinical Efficacy of Anisodamine and Chlorpromazine in the Treatment of Intractable Hiccup after Stroke
Authors: Wang Jing , Zhu Qinghua , Zhang Shuyan , Wen Lisha , Wang Li
Published: July 2022

Objective. This study is aimed at investigating the clinical efficacy of anisodamine combined with chlorpromazine on intractable hiccups after stroke. Methods. 150 patients admitted to Affiliated Hospital of the Hebei University of Engineering from 2017 to 2021 were selected as the research objects, all of which received the computed tomography (CT) examination. During CT examination, intelligent algorithms were used to segment the images. An unsupervised multilayer image threshold segmentation algorithm was proposed by using Kullback‐Leibler (K‐L) divergence and the modified particle swarm optimization (MPSO) algorithm. All patients were divided into three groups, with each group of 50 patients. Patients in the control group (group A) took the calcium tablets, vitamin C tablets, and vitamin B1 tablets orally. Patients in the control group (group B) received the acupoint injection of anisodamine, and those in the observation group (group C) received the acupoint injection of anisodamine combined with chlorpromazine. The therapeutic effect and patient satisfaction of the three groups were compared. Results. The two‐dimensional (2D) K‐L divergence was applied for the multilayer segmentation of images, which was helpful to obtain accurate images. The MPSO algorithm was adopted to reduce the computational complexity. The total efficiency of group C was 98%, that of group B was 56%, and that of group A was 22%. The total efficiency and satisfaction rate of group C were signally better than those of group A and group B (P < 0.05). Conclusion. The combination of 2D K‐L divergence and MPSO algorithm could improve the accuracy of multilayer image segmentation and CT imaging. Acupoint injection of anisodamine combined with chlorpromazine had better efficacy than the injection of anisodamine alone for the treatment of intractable hiccups after stroke, with high safety and clinical promotion value.
Innovation of Digital Multimedia VR Technology in Music Education Curriculum in Colleges and Universities
Authors: Xiao Hong
Published: July 2022

The art of music is the art of hearing, helping humans to establish good aesthetic interests. Music education is not only an important means of quality education for students, but also an important way to cultivate musical talents in colleges and universities. It inspires students’ lofty ideals, cultivates their sentiments, and improves their aesthetic ability and cultural quality. The emergence of digital multimedia VR technology has made the traditional music education in colleges and universities seem a bit high and low. In the new era, the exploration of VR technology in music education is very challenging. It is especially important to explore the innovation of music education mode in colleges and universities in the era of digital multimedia VR technology. The goal of this paper is to explore the innovation of music curriculum in colleges and universities in the era of digital multimedia VR technology. According to the relevant research materials at home and abroad, drawing on and absorbing the new education and teaching ideas and new teaching achievements, adopting the methods of questionnaire, interview, and classroom observation, and taking the implementation of digital multimedia VR art course as a sample, the experimental results show that up to 72.2% of the classmates say that the implementation of digital multimedia VR art course is effective, and their music teachers occasionally use digital multimedia VR teaching facilities. Equipment is closed to teach digital multimedia VR courses in music class, and the data is on the rise. Through the survey on the current situation of the implementation of the digital multimedia VR teaching in colleges, it provides a more detailed basis for the reform of the music curriculum in colleges and makes the digital multimedia VR teaching tend to improve in the implementation of music in colleges.
Evaluation of the Effect of Garlic Tablet as a Complementary Treatment for Patients with Diabetic Retinopathy
Authors: Afarid Mehrdad , Sadeghi Elham , Johari Mohammadkarim , Namvar Ehsan , Sanie-Jahromi Fatemeh
Published: July 2022

Purpose. The aim of this study was to investigate the effectiveness of garlic (Allium sativum L.) tablets as a complimentary herbal medication in diabetic macular edema. Methods. A total of 91 diabetic participants (117 eyes) with central involved macular edema underwent a double-blind randomized trial. The patients used garlic tablets (500 mg) (2 tab/day) or placebo for 4 weeks and subsequently were examined by an expert ophthalmologist. Clinical manifestations including the best-corrected visual acuity (BCVA, logMAR), central macular thickness (CMT, μm), and intraocular pressure (IOP) were measured as the main outcomes. Results. BCVA was significantly improved by a 0.18 decrease in mean logMAR value in the garlic-treated patients in comparison with 0.06 in the control ones (

P
 
value
=
0.027

). CMT was decreased in both groups by a 102.99 μm decrease in the garlic group compared to 52.67 μm in the placebo group, albeit in a nonsignificant manner (

P

value: 0.094). IOP was decreased in the garlic group by 1.03 mmHg (

P

value: 0.024) and increased by 0.3 mmHg (

P

value: 0.468) in the placebo group. Conclusion. Our trial suggests that garlic supplements can improve visual acuity, decrease the CMT and lower the IOP, and can be considered as an adjuvant treatment in patients with diabetic macular edema. Garlic was satisfactorily tolerated in diabetic patients, and no significant adverse effect interrupting the safety profile was observed.
Knowledge and Attitude of Iranian University Students toward Genital Warts
Authors: Aryanian Zeinab , Mohammadi Maedeh , Babazadeh Arefeh , Hatami Parvaneh , Mohseni Afshar Zeinab , Goodarzi Azadeh , Etesami Ifa , Barary Mohammad , Ebrahimpour Soheil , Sabbagh Parisa
Published: July 2022

Human papillomavirus (HPV) is one of the well-known causes of cervical cancer and one of the most prevalent sexually transmitted diseases (STDs). Since cervical cancer is one of the most common causes of morbidity and mortality in women, this study was performed to investigate Iranian medical students’ knowledge and attitudes towards genital warts. This cross-sectional study assessed the perception and attitudes of 385 students at Babol University of Medical Sciences using a preconceived questionnaire. The participants’ mean age was 23.70 ± 3.27 years, with a range of 20–50 years. Evaluation of these students’ level of general information about HPV showed that 7 (1.8%) students had inadequate general information, 34 (8.8%) had moderate knowledge, and 344 (89.4%) had good general knowledge in this regard. There was also a significant association between students’ general knowledge of HPV and their field of study. Based on our results, the knowledge of the majority of Babol University of Medical Sciences students about genital warts was in a good range, and their knowledge about HPV routes of transmission was of moderate level. Moreover, the majority had an appropriate attitude to interact with people infected with HPV.
Uterine Rupture in Pregnancy following Two Abdominal Myomectomies and IVF
Authors: D’Asta Marco , Gulino Ferdinando Antonio , Ettore Carla , Dilisi Valentina , Pappalardo Elisa , Ettore Giuseppe
Published: July 2022

Objective. Uterine rupture (UR) during pregnancy is an obstetric emergency that could determine poor maternal and neonatal outcomes. There are many factors that could increase the risk of UR, such as a previous myomectomy. The aim of this study is to evaluate the role of a previous myomectomy in a spontaneous UR in pregnancy. Methods. A 33-year-old primigravida comes to our obstetric emergency room for pelvic pain at 29 weeks of gestation. In her medical history, there were two previous surgical operations of abdominal myomectomy, one in 2015 and one in January 2021 (6 months before conception). After 34 minutes, a pubo-subumbilical longitudinal laparotomy was performed for pathological decelerations in the cardiotocography. In the peritoneal cavity, there was 500 mL of blood serum liquid. The right arm and shoulder of the fetus were extending out of the uterus across a breach of 5 cm near the right tubal corner. A corporal incision was performed, and a healthy baby was born and moved to neonatal intensive unit care. Results. A UR can occur at any stage of pregnancy, mostly during the third trimester of pregnancy. Risk factors that increase the incidence of a uterine rupture after myomectomy include a short period (i.e., <12 months) between the myomectomy and conception, the opening of the endometrial cavity, and large myomas (with a maximum diameter above 4 cm). Uterine rupture during pregnancy after abdominal myomectomy seems to be less frequent than after a laparoscopic one. Conclusion. Uterine rupture is an obstetric emergency; it is mandatory to consider this eventuality in pregnancy, particularly in the third trimester, if there was a previous laparoscopic myomectomy in the anamnesis of the patient.
The Adsorption of VOCs by Honeycomb Ceramics Loaded with Molecular Sieves
Authors: Zhang Ping
Published: July 2022

In order to improve the adsorption performance of molecular sieve honeycomb ceramics for VOCs, the author proposes a research method for the adsorption performance of VOCs based on the honeycomb ceramics loaded with molecular sieves. The method prepared cordierite honeycomb ceramic-supported HY, Na Y, USY, ZSM-5-300, and ZSM-5-360 monolithic adsorption materials by the coating method. Using toluene, ethyl acetate, isopropanol, and acetone as adsorbates, the adsorption properties of single-component and mixed-component organic compounds on the supported molecular sieve honeycomb ceramics were investigated. The result shows ZSM-5-300 has the largest adsorption capacity for the four adsorbates, which are toluene 68.0 mg/g, ethyl acetate 118.7 mg/g, isopropanol 70.9 mg/g, and acetone 72.5 mg/g. The test results show that ZSM-5-300 molecular sieve has high saturated adsorption capacity and is an ideal VOCs adsorption material.
Matching Model of Dance Movements and Music Rhythm Features Using Human Posture Estimation
Authors: Jiang Dandan
Published: July 2022

The essential issue in music understanding and dance synthesis research is how to improve the degree of matching between dance motions and music rhythm elements. The matching model of dance movements and music rhythm features is created in this study based on human posture estimation research to tackle the problems that existing matching methods are prone to rapid changes in movements and cannot keep the original movement features. The rhythm properties of movement and music data are first analyzed, and then the degree of matching between movement and music pieces is measured using a dynamic time warping technique. A constraint-based dynamic planning approach is also used to synthesize the dance action sequence that best matches the supplied music. Experiments reveal that this model has a matching accuracy of 95.1 percent, which is higher than the two comparative models’ matching accuracy of 5.2 percent and 7.6 percent, respectively. The matching score of this paper is high, reaching around 94 percent, according to the user research results. The method suggested in this work has apparent advantages in that it may efficiently help users in the arrangement of desired dance moves or backing music, and it can be applied in the field of actual choreography and scoring.
Analyzing the Effectiveness of Finance in Supply Chain in Solving the Financing Difficulties of SMEs Based on Grey Theory Model
Authors: Piao Guofeng , Xiao Biyan
Published: July 2022

Small and medium-sized enterprises (SMEs) play an indispensable role in China’s national economic system, and they can play a critical role in promoting economic growth and full employment. The main reason for the disruption and impediment to the development of SME clusters is that the enterprises in the clusters are experiencing a “capital shortage,” as a result of the double contradiction between the clusters’ financial benefits and the difficulties in financing. Grey theory is a relatively new concept in the field of information processing. It proposes theories and methods for processing and analyzing incomplete information systems using mathematical methods. This study uses finance in supply chain as a new research perspective to investigate the effectiveness of finance in supply chain in resolving SMEs’ financing problems using the Grey theory model, with the goal of resolving SMEs’ financing problems. When comparing the results of the Grey theory model and the regression analysis model, the relative error of the Grey theory model is on average 12.2% lower than that of the regression analysis model, indicating that the Grey theory model greatly improves accuracy. As a result, using the Grey theory model to solve supply chain financing and SMEs’ difficulties can share risks, share credit, reduce transaction costs, weaken information asymmetry, and achieve mutual benefits and a win-win situation. It is expected to promote the development of the finance in supply chain model, mobilise enterprise enthusiasm for using finance in supply chain, improve finance in supply chain operational efficiency, and promote finance in supply chain development.
qHBsAg for the Identification of Liver Histological Abnormalities in HBeAg-Negative Chronic Hepatitis B Patients with Normal and Mildly Elevated ALT Levels
Authors: Gan Qinyi , Huang Yan , Zhu Chuanwu , Zhao Shuang , Fu Haoshuang , Cai Minghao , Wang Jiexiao , Zhang Chenxi , Guo Simin , Cao Zhujun , Xie Qing
Published: July 2022

Backgrounds. Noninvasive detection of histological abnormalities remains challenging in patients with HBeAg-negative chronic HBV infection with normal or mildly elevated levels of alanine aminotransferase (ALT). This study aimed to assess the utility of serum quantitative hepatitis B surface antigen (qHBsAg) in identifying significant histological lesions in this population. Methods. This is a single-center study with retrospective analysis of 392 treatment-naive patients of HBeAg-negative chronic HBV infection with normal or mildly elevated levels of ALT. Results. In this cohort, significant necroinflammation and fibrosis were found in 69.4% and 61.5% of patients, respectively. Patients with qHBsAg >1000 IU/mL (N = 236) had more hepatic inflammation of ≥G2 (75.4% vs. 60.9%,

P
<
0.01

) or fibrosis ≥ S2 (66.1% vs. 54.5%,

P
<
0.05

) compared to those without (N = 156). Serum HBsAg (cutoff point = 1000 IU/mL), aspartate aminotransferase (AST) level (cutoff point = 25 IU/L), age (cutoff point = 40 years), and HBV family history were identified as independent predictors of significant histological abnormalities in multivariate logistic analysis. Conclusions. A significantly higher proportion of patients with histological abnormalities were found in patients with qHBsAg >1000 IU/mL than those without. The qHBsAg level together with age, AST, and family history of HBV infection could be used as an algorithm to help noninvasive patient selection for antiviral therapy.
The Auxiliary Role of Artificial Intelligence in the Intelligent Creation and Conducting of Symphony
Authors: Dong Rui
Published: July 2022

In order to improve the effect of symphony intelligent creation and command, this paper combines artificial intelligence technology to study the symphony intelligent creation and command system. Moreover, this paper designs three common signal conditioning circuits, namely gain-adjustable circuit, universal high-order filter, and D/A converter, and implements them in a cross-coupled POTA-based FPAA array. In addition, this paper verifies the programmability and correctness of these three signal conditioning circuits through simulation analysis in cadence software. Finally, this paper builds a simulation system based on the requirements of symphony intelligent creation and conducting. Through the simulation evaluation, it can be seen that the symphony intelligent creation and command system based on artificial intelligence proposed in this paper has a good simulation effect in the symphony intelligent creation and command system, and can play an important role in the symphony intelligent creation and command.
Electronic Communication Fault Signal Recognition Based on Data Mining Algorithm
Authors: Luo Jun
Published: July 2022

In order to solve the technical problem of fault signal recognition in the field of communication, this paper proposes an electronic communication fault signal recognition method based on data mining algorithm. Firstly, the K-means clustering algorithm is used to determine the cluster number k according to some attributes or class characteristics of the communication class samples, and the communication sample types are classified into a certain class so that the communication sample data in the cluster can be closely distributed and the data within a certain class range can be calculated by Euclidean distance formula. Then, this paper clusters the data. In the clustering data, BP neural network model is used to train and calculate the obtained clustering data again, which can map and deal with the complex nonlinear relationship between the fault information data of different clustering categories. The results show that the final error accuracy can be raised to about 20% by using the method in this paper. Conclusion. The algorithm designed in this paper can quickly predict the factors affecting the communication and find the communication fault information.
The Development of an “Absyak” Application for ESP Learning: Insights from Indonesia
Authors: Syakur Abd. , Sugirin  , Margana  , Ubaidillah M. Faruq , Ahmad Tilwani Shouket
Published: July 2022

There has been a dearth of studies exploring the development of online learning platforms in Indonesian ESP classes in recent years. To fill such a lacuna, the present study was designed to develop an online learning application for pharmacy students in their ESP learning in an Indonesian higher education setting. Encapsulated by Gall, Borg, and Gall’s (2003) Research and Development (R&D) model, the study’s findings showcase that (1) the application, named “Absyak,” has been successfully developed at the design stage based on the needs analysis; (2) the variables of material, media, and student responses on learning have been validated and corrected according to the suggestions of two validators as media experts and three validators as material experts; (3) responses from 30 students showed that the indicators for each variable were valid, reliable, and very feasible to implement; and (4) the implementation phase with 60 students indicated that the developed material effectively enhanced the pharmacy students' English speaking skill. Implications from this study are offered at the end of this article.
Is Anti-Reflux Anastomosis an Advantage in an Orthotopic Ileal Neobladder? A Systematic Review and Meta-Analysis
Authors: Zhang Yuanfeng , Ding Hui , Zhang Yunxin , Tian Junqiang , Yang Li , Dong Zhilong , Wang Juan , Wang Yuhan , Zhang Yonghai , Wang Zhiping
Published: July 2022

Introduction: We conducted a systematic review and meta-analysis to assess the available literature regarding the postoperative effects of anti-reflux anastomosis and direct anastomosis in orthotopic ileal neobladder (ONB). Methods: We searched PubMed, Embase, and the Cochrane Library in October 2021. We included 11 studies of patients with bladder cancer who underwent radical cystectomy and ONB as urinary diversion. Outcomes evaluated in this review were ureteroenteric anastomotic stricture (UEAS), vesicoureteral reflux, renal function (RFn) impairment, and pyelonephritis. All data were analyzed using Review Manager 5.4.4 and subgroup analyses were applied. Results: A total of 11 studies were eligible for meta-analysis. The synthetic data suggested that anti-reflux anastomosis and direct anastomosis were comparable in terms of RFn impairment (odds ratio (OR) = 1.69; 95% confidence interval (CI): 0.18–15.6; p = 0.65, I2 = 69%) and pyelonephritis (OR = 1.13; 95% CI: 0.65–1.99; p = 0.66, I2 = 1%) without significant difference in each group statistically. The pooled study data showed a significantly higher incidence of UEAS (OR = 2.84; 95% CI: 1.75–4.61, p < 0.0001, I2 = 50%) and a lower incidence of vesicoureteral reflux (OR = 0.24; 95% CI: 0.10–0.59; p = 0.002, I2 = 75%) in anti-reflux anastomosis compared to direct anastomosis. In subgroup analysis, anti-reflux anastomosis was more likely to result in UEAS than direct anastomosis, especially when ureteral stent was removed within 14 days. Conclusion: Although meta-analysis showed that overall incidence of vesicoureteral reflux was higher with direct anastomosis than anti-reflux anastomosis, the rate of vesicoureteral reflux was not directly related to impairment of RFn. The anti-reflux mechanism of ONB was positively associated with a higher incidence of significant UEAS compared to the direct approach, which can lead to kidney damage and an increased risk of secondary surgical procedures.
From Interactive Regulation in Infancy to Relationship-Focused Interventions
Authors: Reck Corinna , Hagl Maria , Ohlrich Robert , Zietlow Anna-Lena
Published: July 2022

In interaction with their mother, infants not only learn how human relationships work, but – on an even more basic level – the continuous bidirectional, interactive regulation between mother and infant shapes the infant’s socioemotional development. Coordinated interactions alternate with uncoordinated ones, the latter resulting in momentary ruptures during this dyadic exchange. Usually, these are quickly repaired. The mother’s capacity for engaging with her infant in a sensitive and appropriate manner is crucial for successful socioemotional development. On a transgenerational level, a mother will draw on her own relational experiences – embodied as implicit memory – when interacting with her baby. Thus, comprehensive and effective treatment of maternal postpartum disorders that often impair the mother’s interactive skills and capacity for maternal bonding is of great importance. One aim of modern mother-infant treatment is to target dysfunctional interactive patterns, often with the help of video feedback and microanalysis of behavioral observations. In this paper, after giving an overview of affective regulation in mother-infant dyads and the role of maternal factors and postpartum mental health, we describe relationship-focused approaches to mother-infant treatment. Our focus lies on video feedback and body-oriented interventions. We also explore classical as well as contemporary theoretical underpinnings in mother-infant research and how psychoanalytic concepts like containment and mentalization not only enrich approaches to mother-infant treatment but also adult treatment in general. We conclude that working with and expanding one’s own implicit relational knowledge is central for the therapeutic process and can be initiated by video-based interventions or by genuinely experiencing and reflecting on interactions in dyads and groups.
Augmented Vision for Dental Students’ Education in Detecting Proximal Carious Lesions on Bitewing Radiographs: A Randomized Controlled Trial
Authors: Rodrigues Jonas Almeida , Arsiwala-Scheppach Lubaina T. , Krois Joachim , Schwendicke Falk
Published: July 2022

This two-arm, parallel, randomized controlled trial aimed to assess the effect of augmented vision (AV, using interactive color overlays) on the education of dental students in detecting proximal carious lesions on bitewing radiographs compared to black-and-white textbook-like illustrations. Forty-eight preclinical third-year dental students were randomized using a random number generator into two learning groups: test (AV, allowing interaction with color-highlighted carious lesions, n = 24) and control (showing the native radiograph and a black-and-white illustration displaying the carious lesion, n = 24). First, students had 2 weeks to assess 50 bitewings (lesion prevalence on the tooth level: 54.5%) in the test or control. Due to the nature of the intervention, participants could not be blinded toward the intervention. After that, they were asked to detect lesions on 10 independent bitewings and to assess lesion extent (outer/inner enamel; outer/middle/inner dentin). The reference test was constituted by two experienced dentists. No significant differences in accuracy (test 0.84 [95% CI: 0.79, 0.88]; control 0.83 [0.78, 0.87]), AUC (test 0.82 [0.81, 0.84]; control 0.81 [0.80, 0.83]) and F1 score (test 0.79 [0.75, 0.82]; control 0.77 [0.72, 0.81]) were observed between groups. Students of both groups showed difficulties in differentiating enamel from dentin carious lesions. While AV was reported to be motivating by students, it did not increase their accuracy.