bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Sports Health Care Information System Based on Computer Deep Learning Algorithm
Authors: Ma Xiaojun , Zhang Zhenfeng
Published: June 2022

There are various problems in diagnosing and treating tumor diseases in significant hospitals. The content includes misjudgement and over-surgery issues. For example, the judgment of pulmonary nodules mainly relies on artificial experience, and most of the artificial experience is too radical. This paper is mainly based on the extensive medical data of significant hospitals, extracts the diagnosis and treatment data and digital images of similar cases from the extensive database, classifies them through the deep learning of the computer, and then proposes the control mechanism and the solution of the doctor’s misjudgement and excessive medical treatment. This method mainly relies on the CT and MRI digital images of various types of tumor diseases accumulated in the history of major hospitals. Based on the preliminary judgment of each diagnosis and treatment and the results of surgical and pathological examinations, the accumulation of various types of digital images from the history is used. The features are analysed and extracted, the model is built, and finally, a predictive analysis system for this type of tumor is obtained, which can predict the benign and malignant cases of currently occurring cases and avoid the limitations and instability of artificial experience greatest extent. It is proved by experiments and combined with Spearman to remove redundancy. The redundancy removal method SVM_RFE is used for dimensionality reduction. The method can timely correct the misjudgement of the doctor’s experience and effectively reduce the instability of the manual, which provides a solution for solving the contradiction between doctors and patients and improving the scientific of diagnosis and treatment.
Railway Traffic Emergency Management Relying on Image Recognition Technology in the Context of Big Data
Authors: Dong Fei , Ma Yuanyuan
Published: June 2022

With the full popularity of China’s railwayization process, it has brought about the problem of the management ability of railway traffic safety. Railway traffic safety emergency management capabilities are low. When an accident occurs, clearer data cannot be obtained in the first time to have a general understanding of the accident. Therefore, the problem of organizing rescue has always plagued relevant railway workers. This study aims to study the improvement of railway traffic emergency management based on image recognition technology in the context of big data. To this end, this study proposes image recognition technology based on deep learning, and through the relayout of the railway traffic emergency management system, so that the railway traffic problems can be dealt within time as soon as they occur, and designed an experiment to explore the ability of image recognition. The results of the experiment show that the efficiency of the improved railway traffic emergency management system has increased by 27%, and the recognition capability has increased by 64%. It can very well help current railway workers to carry out emergency management for railway traffic safety.
Evidence Summary of Temperature Management for Comatose Patients after Cardiopulmonary Resuscitation in ICUs
Authors: Yang Zhuo , Ni Ting , Yang Yan , Zhang Hui , Chi Hongli
Published: June 2022

Objective. This study aims to select and summarize the best evidence of temperature management for comatose patients after cardiopulmonary resuscitation in intensive care units (ICUs) at home and abroad. Method. Some well-known databases at home and abroad have been searched to find the guidelines, expert consensus, original documents, evidence summaries, and systematic evaluation about temperature management for comatose patients after cardiopulmonary resuscitation in ICUs. The databases included PubMed, Up to Date, Cochrane Library, the website of Registered Nurses’ Association of Ontario, the Guideline Library of National Institute for Health and Clinical Excellence of the UK, China National Knowledge Infrastructure (CNKI), Wanfang Database, and VIP. The period for search is from the establishment of each database to the present. Two researchers who have received evidence-based nursing training and passed the examination evaluated, extracted, and integrated the literature quality with a blind method to summarize the best evidence. Results. A total of 10 pieces of literature were included in this study, including 4 in Chinese and 6 in English. Specifically, there were 4 guidelines, 1 expert consensus, 2 evidence summaries, 1 systematic evaluation, 1 literature review, and 1 comparative experiment, accounting for 40.0%, 10.0%, 20.0%, 10.0%, 10.0%, and 10.0%, respectively. The literature and materials were all qualified, and there was no heterogeneity and no significant publication bias in the included literature. The best evidence involved mild hypothermia therapy, rewarming, prevention of mild hypothermia-related complications, and nutritional support, with a total of 21 pieces of evidence (including 11, 3, 5, and 2 pieces of evidence, respectively). In terms of the recommendation grade, 7 pieces of evidence were at Grade A and 14 at Grade B. Conclusion. Health care providers should implement hypothermia management in comatose patients after cardiopulmonary resuscitation in ICUs, pay attention to the prevention of related complications, and provide enteral nutrition support.
IOT Monitoring System for Ship Operation Management Based on YOLOv3 Algorithm
Authors: Chen Jing
Published: June 2022

Combined with the YOLOv3 algorithm, the Darknet network developed on the Internet of Things offers boat maintenance, design, and deployment to meet the needs of developing and implementing the Internet of Things-based ship management. System maintenance was completed, solving the problem of care and identifying the vessels in the water important for care. Based on this, the YOLOv3 algorithm has been reported to achieve the target thinking based on the global data map, and the target area thinking and the distribution plan need to be set into a standard neural network. Add a penalty for fixing the boat to different parts of the system together. Binarily divide the needs by a set of logistic regression, allowing rapid tracking and identification of goals in high-risk situations. Experimental results show that the average validation rate of this study’ standard is 89.5% at 30 frames per second. Compared with traditional and in-depth training, this data algorithm is not only more practical and accurate but also more efficient in learning algorithms and various environments. The switches are more flexible and can control multiple ships and their essentials.
Road Intersection Coordination Scheme for Mixed Traffic (Human-Driven and Driverless Vehicles): A Systematic Review
Authors: Ozioko Ekene F. , Kunkel Julian , Stahl Fredric
Published: June 2022

Autonomous vehicles (AVs) are emerging with enormous potentials to solve many challenging road traffic problems. The AV emergence leads to a paradigm shift in the road traffic system, making the penetration of autonomous vehicles fast and its coexistence with human-driven cars inevitable. The migration from the traditional driving to the intelligent driving system with AV’s gradual deployment needs supporting technology to address mixed traffic systems problems, mixed driving behaviour in a car-following model, variation in-vehicle type control means, the impact of a proportion of AV in traffic mixed traffic, and many more. The migration to fully AV will solve many traffic problems: desire to reclaim travel and commuting time, driving comfort, and accident reduction. Motivated by the above facts, this paper presents an extensive review of road intersection mixed traffic management techniques with a classification matrix of different traffic management strategies and technologies that could effectively describe a mix of human and autonomous vehicles. It explores the existing traffic control strategies and analyses their compatibility in a mixed traffic environment. Then review their drawback and build on it for the proposed robust mix of traffic management schemes. Though many traffic control strategies have been in existence, the analysis presented in this paper gives new insights to the readers on the applications of the cell reservation strategy in a mixed traffic environment. Though many traffic control strategies have been in existence, the Gipp’s car-following model has shown to be very effective for optimal traffic flow performance.
Industrial Demand and Innovation: An Application of Binomial Regression Model to Project Statistics of NSFC of China
Authors: Tu Yan , Chu Jian , Asif Shah Mohd
Published: June 2022

The carbon emission reduction potential of photothermal utilization of solar energy is outstanding, but the breakthrough of technology is closely related to the management of innovation and research in higher educational institutions. What factors affect such relationship is discussed in this paper. Based on the photothermal technology project data released by the National Natural Science Foundation of China (NSFC) and China education yearbook, this paper analyzes the variable relationship between the output of solar thermal technology innovation and industrial demand. Specifically, the negative binomial regression was constructed based on the technological project approval data. The results show that the input of scientific research resources has a key influence on the development of solar thermal technology, the establishment of technological projects or the subsequent patent application derived from technological projects. The results also show that the demand for photothermal technology and green innovation complement each other.
Numerical Simulation of the Dynamic Responses of Electric Power Fitting of Transmission Lines after Ice Shedding
Authors: Ye Zhongfei , Wu Chuan , Liu Xiaohui , Huang Fei
Published: June 2022

As the key connecting components between tower and conductors, electric power fittings play an important role in the provision of the safe operation of transmission lines. Taking 500 kV transmission lines as the research object, electric power fittings failure in heavy icing areas is studied. The following three questions are considered: first, the influence of different ice-shedding methods on the tension of quad bundle conductors; second, the influence of the spans number, span length, height difference, and ice thickness on the conductor tension under the most dangerous ice-shedding mode; lastly, the mechanical characteristics of tension string and suspension string under ice-shedding condition in the stable wind. The results show that the von Mises stress of the parts that connect with the iced conductor in the tension string model is greater than those of the parts connected with the ice-shedding conductor. What is more, the shackle is the most vulnerable part of the whole model, which is prone to wear and damage, and the failure is most likely to occur at the upper shackle. The middle part in the rectangular hanging plate which is connected with the iced conductor is prone to damage, for its maximum stress has already exceeded the yield stress, with a danger degree inferior only to the shackle. In the suspension string model, the von Mises stress of each part is relatively small and does not reach the yield stress. Similarly, the shackle is most likely to be damaged in the overall model, while other parts maintain larger safety margins. The structure of the parts with smaller stress can be optimized according to the simulation results where design margins may be reduced and additional cost benefits realized.
Intelligent Test Algorithm for English Writing Using English Semantic and Neural Networks
Authors: Zeng Guanguan
Published: June 2022

English writing is considered by English learners to be the portion of English learning with the greatest application, the most thorough understanding, and the most challenging instruction. It automatically detects and corrects (DAC) grammatical faults in English writing, which is critical in the English learning and teaching processes. The goal of this research is to investigate the sequence annotation model and the Seq2Seq NN model based on cyclic NN, and to use these two models to detect grammatical faults in English (EGE). This paper provides an EGE DAC approach based on sequence annotation with the aid of the sequence annotation model developed in this paper. Simultaneously, this work presents an EGE DAC approach based on Seq2Seq that integrates the sequence annotation model. The model is no longer trained on a single form of grammatical error, but rather on all types of errors combined, allowing it to respond to any EGE. This work considers the DAC of grammatical errors with fixed confusion sets, such as prepositions and articles. This model’s F1 value for article error correction is 38.05 percent, which is 33.40 percent higher than the F1 value for UIUC article error correction. The F1 value for preposition error correction is 28.89 percent, which is 7.22 percent higher than the F1 value for UIUC preposition error correction.
Comparative Analysis of Routing Schemes Based on Machine Learning
Authors: Yang Shaoyu , Tan Cong , Madsen Dag Øivind , Xiang Haige , Li Yun , Khan Imran , Choi Bong Jun
Published: June 2022

Machine learning-based distributed routing algorithms, in contrast to traditional mathematical model-driven distributed routing algorithms, are typically data-driven, allowing them to adapt to dynamically changing network environments and various performance evaluation index optimization requirements. It is quite likely that it will become a key part of the next-generation Internet in the future. However, current intelligent routing research is still in its early stages. This article provides a comprehensive review of the state-of-the-art routing algorithms based on machine learning. First, important research on existing data-driven intelligent routing algorithms is presented with the key concepts and applications of these systems demonstrated. To enable intelligent routing algorithms to be deployed in real scenarios with cheap cost and high reliability, two appropriate training deployment frameworks and intelligent routing algorithm training and deployment strategies are given. Finally, the future development of machine learning-based intelligent routing systems is examined. The opportunities and problems that have been encountered, as well as prospective research directions, are discussed.
The Experimental Exploration of TCM Theory “Treating the Same Disease with Different Approaches” on an Ulcerative Colitis Model
Authors: Ni Lulu , Kong Lingzhong , Tang Yajun , Nie Yangfan , Wang Xinyue , Yang Xue , Zhu Li , Jing Shan
Published: June 2022

There is a relationship between lung injury and ulcerative colitis. Currently, traditional Chinese medicine (Huangqi Jiegeng (HQJGD) and Huangqi Huanglian decoctions (HQHLD)) is commonly used for UC-related lung injury; however, the mechanisms of these drugs remain unclear. In this study, UC models were established with the mucous membrane of colon allergize combined with TNBS-alcohol enteroclysis for 4 weeks. The pathological changes in the lung, intestine, liver, and kidney were observed; cytokines, chemokines, and adhesion molecules in lung tissue were detected in order to explore the immunological mechanism of UC-related lung injury and the intervention mechanism of traditional Chinese medicine in treating the lung and intestine in the immune-TNBS-ethanol rat model. Histology examinations demonstrated evident pathological changes in the lungs and intestines of the model groups. Furthermore, all groups treated with TCMs demonstrated reduced expressions of toll-like receptor 4, nuclear factor kappa-B, and macrophage migration inhibitory factor. Additionally, radioimmunoassay and immunohistochemistry showed tumor necrosis factor-α, interleukin-6, and 8 expression downregulation. The results showed that HQJGD and HQHLD could alleviate pulmonary inflammation in UC-related lung injury by obviously improving the pathology and fibrosis of the lung, inhibiting the positive feedback loop of MIF/NF-κB, and reducing lymphocyte homing to bronchial mucosa. This model revealed the immune mechanism of UC-related lung injury and the intervention mechanism of the Chinese medicine, which provided the rationale for treating ulcerative colitis clinically, so as to demonstrate the theory of “the lung and the large intestine being interior-exteriorly related” and “treating the same disease with different approaches.”
An Intelligent Recognition of English Translation Based on Improved GLR Algorithm
Authors: Su Jie , Du Zhan
Published: June 2022

English is a global language. In the process of China’s internationalization, overcoming the difficulty of understanding English is the only way to achieve cultural exchanges, economic exchanges, and even scientific and technological exchanges. Especially in the context of globalization, translation between languages has become the focus of transnational communication. However, there are still problems such as low accuracy and singularity in current machine translation. Aiming at the above problems, based on the improved GLR algorithm (IGLR), this paper proposes a recognition method to solve the English translation problem. First, a corpus is built, and the number of label words reaches tens of thousands. In this way, the automatic search function of the phrase is realized. In addition, create an intelligent method for translation; and plan the intelligent recognition model with data collection, processing, and output; extract characteristic parameters to realize intelligent translation. Conduct an experimental analysis on the designed English translation method and record the experimental data. Through the experiment, it can be seen that the designed translation method can achieve accurate translation results and meet the actual needs.
Exosomal miR-224-5p from Colorectal Cancer Cells Promotes Malignant Transformation of Human Normal Colon Epithelial Cells by Promoting Cell Proliferation through Downregulation of CMTM4
Authors: Wu Feng , Yang Jiani , Shang Guoyin , Zhang Zhijia , Niu Sijia , Liu Yang , Liu Hongru , Jing Jing , Fang Yu
Published: June 2022

Background. Interactions between malignant cells and neighboring normal cells are important for carcinogenesis. In addition, cancer cell-derived exosomes have been shown to promote the malignant transformation of recipient cells, but the mechanisms remain unclear. Methods. The level of miR-224-5p in CRC cell-derived exosomes was determined by RT-qPCR assay. In addition, PKH26 dye-labeled exosomes were used to assess the efficacy of the transfer of exosomes between SW620 and normal colon epithelial cell line CCD 841 CoN. Results. In this study, we found that overexpression of miR-224-5p significantly promoted the proliferation, migration, and invasion and inhibited the oxidative stress of SW620 cells. In addition, miR-224-5p can be transferred from SW620 cells to CCD 841 CoN cells via exosomes. SW620 cell-derived exosomal miR-224-5p markedly promoted proliferation, migration, and invasion of CCD 841 CoN cells. Meanwhile, SW620 cell-derived exosomal miR-224-5p notably decreased the expression of CMTM4 in CCD 841 CoN cells. Furthermore, SW620 cell-derived exosomal miR-224-5p significantly promoted tumor growth in a xenograft model in vivo. Conclusion. These findings suggested that SW620 cell-derived exosomal miR-224-5p could promote malignant transformation and tumorigenesis in vitro and in vivo via downregulation of CMTM4, suggesting that miR-224-5p might be a potential target for therapies in CRC.
Management and Analysis of Sports Health Level of the Elderly Based on Deep Learning
Authors: Xiao Liping , Huang Limin , Chang Hongxia , Ji Li , Li Ji
Published: June 2022

With the accelerating rate of population aging in China, the health of the elderly has received more and more attention and has become one of the most important issues in the elderly care industry. Because of insufficient research on the personal health of the elderly, the value of medical examination data cannot be fully exploited, many physical indicators have a certain impact on overall health or heart health, and there are few studies on heart health assessment. This paper proposes a deep learning-based elderly management analysis method of human exercise health level, using the exercise health management model to evaluate the heart health level of the elderly. Firstly, the indicators to measure heart health are proposed through traditional expert knowledge and personal health index to analyze heart health. Through dynamic assessment, predict the heart health status at the next time point, analyze possible heart diseases, and provide corresponding methods for the health of the elderly, which helps improve the physical health of the elderly. Quality of life provides assistance to meet the needs of improving the health of older adults.
Initial-Sensitive Dynamical Behaviors of a Class of Geometrically Nonlinear Oscillators
Authors: Qin Bo , Shang Huilin , Jiang Huimin
Published: June 2022

The vibrating system of a class of linkage-slider structure is considered, and its initial-sensitive dynamical behaviors such as safe jump, locking instability, and chaos are studied. First, static bifurcation of the dynamical system is discussed. Then, via analyzing the effect of the external excitation on the periodic solutions under primary resonance, it is found that the change of the excitation frequency may lead to bistability and safe jump. Furthermore, it follows from the investigation of the heteroclinic bifurcation that the increase of the external excitation amplitude may lead to locking instability, chaos, and static locking. The results have some potential values in the design of geometrically nonlinear oscillators.
Analysis of the Influence of Hybrid Personalized Recommendation Algorithm on the Employment Tendency of Hotel Management Major
Authors: Liang Li
Published: June 2022

As the pillar industry of tourism, the hotel industry plays an important role in the present and future development of tourism. Therefore, the industry’s demand for hotel management professionals is increasing. In this paper, the mixed personalized recommendation algorithm is used to carry out descriptive statistical analysis on the results, and the characteristics of the employment tendency of college students majoring in hotel management are preliminarily understood. In addition, the influence of human capital and social capital on college students’ employment tendency is discussed. The results show that, through experiments, the hybrid personalized recommendation algorithm proposed in this paper is compared with two traditional collaborative filtering recommendation algorithms based on users, Pearson similarity and cosine similarity. The algorithm in this paper has smaller MAE, which shows that the algorithm proposed in this paper has higher recommendation quality. Through this research, it is helpful to have a more comprehensive understanding of the actual situation and characteristics of the employment tendency of hotel management major college students, and it also provides the policy basis for the government and relevant departments to make employment decisions.
SoK: Context and Risk Aware Access Control for Zero Trust Systems
Authors: Xiao Shiyu , Ye Yuhang , Kanwal Nadia , Newe Thomas , Lee Brian
Published: June 2022

Evolving computing technologies such as cloud, edge computing, and the Internet of Things (IoT) are creating a more complex, dispersed, and dynamic enterprise operational environment. New security enterprise architectures such as those based on the concept of Zero Trust (ZT) are emerging to meet the challenges posed by these changes. ZT systems treat internal and external networks as untrusted and subject both to the same security checking and control to prevent data breaches and limit internal lateral movement. Context awareness is a notion from the field of ubiquitous computing that is used to capture and react to the situation of an entity, based on the dynamics of a particular application or system context. The idea has been incorporated into several access control models. However, the overlap between context-aware access control and zero-trust security has not been fully explored. In this SoK, we conduct a systematic examination of ZT, context awareness, and risk-based access control to explore the critical elements of each and to identify areas of overlap and synergy to enhance the operation and deployment of ZT systems.
Application of Traditional Chinese Medical Science Characteristic Nursing Mode Based on Evidence-Based Medicine to Puerperal Breast Tenderness and Pain
Authors: Liu Jingying , Chen Hua , Wang Wei , Zhao Dan
Published: June 2022

Objective. To explore the effects of traditional Chinese medicine (TCM) characteristic nursing mode based on evidence-based medicine on parturients with breast tenderness and pain. Method. 100 parturients with postpartum breast pain treated at Taizhou First People’s Hospital from January 2020 to December 2021 were selected. Among them, 51 cases received routine nursing intervention (general group, GG) and 49 cases received TCM characteristic nursing based on evidence-based medicine (comprehensive group, CG). The pain number (NRS) score, lactation effect, breastfeeding self-efficacy (BSES-SF) score, anxiety and depression, and nursing satisfaction of the two groups were compared. In addition, the pregnant women were followed up after discharge to investigate the rate of exclusive breastfeeding. Result. Three days after intervention, NRS score, SAS score, and SDS score in the CG were significantly lower than those in the GG. The level of serum prolactin and total breast lactation yield in the GG were better than those in the CG. BSES-SF score, nursing satisfaction, and exclusive breastfeeding rate in the CG were higher than those in the GG. Conclusion. Evidence-based TCM care can significantly reduce postpartum breast tenderness, increase milk production, improve exclusive breastfeeding, and help relieve emotional distress.
[Retracted] Effects of Ginsenoside Rg1 on the Biological Activity of Human Periodontal Ligament Cells
Authors: Yang Qian , Guo Baihong , He Yalan , Long Fei , Zheng Yuanhua , Che Tuanjie , Shao Wenting
Published: June 2022

, Objective. To investigate the effect of ginsenoside Rg1 on the biological activity of primary cultured human periodontal ligament cells (PDLC). Methods. The effects of ginsenoside Rg1 on the proliferation activity, protein synthesis, and alkaline phosphatase (ALP) activity of primary cultured human periodontal ligament cells were investigated by thiazole blue (MTT) colorimetric method, Coomassie brilliant blue method, and enzyme kinetics method. The effect of ginsenoside Rg1 on cell cycle was detected by flow cytometry, and the cells were labeled with calcium ion‐sensitive fluorescent probe Fluo3/AM, and the effect of ginsenoside Rg1 on intracellular free calcium concentration was detected by laser scanning confocal microscope. Results. Compared with the control group, the experimental groups of ginsenoside Rg1 at various concentrations could significantly promote cell proliferation, and the effect time was the longest in the concentration range of 0.01‐0.05 μmol/L;, Rg1 0.01umol/L and 0.05umol/L. The protein content in the 72‐hour cell culture medium of the μmol/L group was significantly higher than that of the control group; the ALP activity in the 72‐hour cell culture medium of the Rg1 0.01 μmol/L, 0.05 μmol/L, and 0.1 μmol/L groups was significantly higher than that of the control group; FCM assay showed that after 0.1 μmol/L Rg1 for 48 hours, compared with the control group, the proportion of cells in the early stage of DNA synthesis (G1%) of PDLC was significantly reduced, while the proportion of cells in the DNA synthesis stage (S%) and the value of cell proliferation index PrI (S + G2M)% were significantly increased; Rg1 increased intracellular calcium in PDLC cells at first and then decreased and finally maintained at a slightly higher resting calcium level than before drug addition. Conclusion. Ginsenoside Rg1 can increase the proliferation activity, protein synthesis, and alkaline phosphatase activity of periodontal ligament cells within a certain concentration range; Rg1 reduces the cells in G1 phase and increases cells in S phase of periodontal ligament fibroblasts. Change the concentration of free calcium ions in cells and promote more cells to enter a proliferative state.
Clinical Treatment and Nursing Intervention Study of Clipping Treatment of Cerebral Aneurysm under the Health Model of Data Analysis
Authors: Huang Yuyou , Huang Liping
Published: June 2022

Middle cerebral artery aneurysm is a common type of intracranial aneurysm in neurosurgery, accounting for about 20% of intracranial aneurysms, and is the third most common site of intracranial aneurysms. The surgical success rate and postoperative recovery ability of today’s treatment plans are not satisfactory. Therefore, this paper designs a health model based on data analysis to clinically apply clipping surgery for cerebral aneurysm. This paper studies data analytics health models in the context of big data analytics. The model combines the characteristics of cerebral aneurysms for targeted analysis, and then through the understanding of the clipping treatment of cerebral aneurysms, this paper combines the deep learning in the neural network to train the treatment plan under the data analysis health model. Finally, this paper designs a therapeutic plan for clipping treatment of cerebral aneurysm based on a data analysis health model. To verify its data analysis ability, this paper designs experiments on unbalanced data sets and experiments to improve the execution efficiency of the algorithm. After analyzing the results obtained from the experiment, this paper will apply them to the clinic. The final experiment showed that the surgical success rate of the clipping treatment for cerebral aneurysm based on the data analysis health model was increased by 21.84% compared with the traditional clipping treatment for cerebral aneurysm.
A Research on the Establishment of a System Improving Teaching Ability of English Teachers in the Classroom Setting by Utilizing Artificial Intelligence
Authors: Zhang Xiaona
Published: June 2022

The efficient implementation of the artificial intelligence approaches could nobly resolve the deficiencies of the conventional approaches. This manuscript puts forward a scheme to construct a system that helps provide feedback on the teaching performance of English teachers in a classroom setting by utilizing artificial intelligence. Thus, the artificial intelligence-based framework is combined with the traditional system theories dealing with the teaching performance of English teachers in a classroom setting. For this purpose, the BP neural network is utilized to compute the teaching performance, which can effectively improve the teaching style in the classroom setting by updating the implemented teaching methodology, avoiding examination-oriented assessment, and increasing the multiorientation. To assure the rationality and effectiveness of the constructed scheme for English teachers, a simulation experiment is conducted. So, the teaching evaluation system of the English teachers is analyzed based on the constructed scheme. The experiment suggests that traditional system theories when combined with artificial intelligence schemes under the proposed scheme are found to be more suitable for modern English teaching activities in the classroom setting.
Surface Defect Detection with Modified Real-Time Detector YOLOv3
Authors: Wang Zhihui , Zhu Houying , Jia Xianqing , Bao Yongtang , Wang Changmiao
Published: June 2022

In this paper, a modified YOLOv3 net has been proposed for surface defect detection. Different from other pixel-level segmenting methods, YOLOv3 locates the regions of surface defects with bounding rectangles. Compared with conventional detectors, the operating efficiency of YOLOv3 is rather high without generating region proposals by sliding boxes. Although pixel-level details of defects are omitted in the process, the primary information of the location of detects and class labels are extracted by YOLOv3 with high accuracy. This information is sufficient for surface defect inspection, and computational efficiency has been improved, simultaneously. To further light the structure of YOLOv3, loss function optimization and pruning strategy have been adopted in the original YOLOv3. The pruning ratio is determined by the tradeoff between detecting accuracy and computational efficiency. In our experiments, we compared the performance of modified YOLOv3 with several state-of-the-art methods, and modified YOLOv3 achieves the best performance on six types of surface defects in DAGM 2007 dataset.
Clinical Application of Restrictive Brace Combined with Psychological Intervention after Replantation of Severed Fingers in Children
Authors: Chen Guangxian , Wang Wei , Wang Ping , Zhang Ning , Xiu Xiaolei , Zhao Jianyong
Published: June 2022

Objective. After replantation of severed fingers in infants, the utility model patent upper limb restrictive brace-assisted bed rest braking, combined with psychological intervention, can alleviate children’s anxiety, so as to reduce the occurrence of vascular crisis. Methods. The study period was from April 2015 to July 2018. In this paper, 30 children with finger injuries in hand surgery in the CIS electronic medical record system of Cangzhou Integrated Traditional Chinese and Western Medicine Hospital were selected as the research objects. Replantation was performed in 30 infants with severed fingers. Among them, 15 cases were applied with the method of aircraft chest arm gypsum splint combined with sedative drug braking and the utility model patented product upper limb restrictive brace fixation-assisted bed rest braking, and the method of psychological intervention was applied at the same time. Results. Among the 15 fingers in the control group, 6 had vascular crisis and 1 in the experimental group. The incidence of vascular crisis in the experimental group was lower, and the difference between the two groups was statistically significant (

P
<
0.05

). The patients were followed up for 9~18 months, with an average of

9.72
±
1.07

months. In the control group, 15 cases of severed fingers survived, and there were 13 cases of replantation finger necrosis in 2 cases of intractable arterial crisis. In the experimental group, 14 cases of severed fingers survived in 15 cases and there was 1 case of replanted finger necrosis in intractable arterial crisis after operation. There was no significant difference in the survival rate between the two groups (

P
>
0.05

). In addition, the replanted finger function was evaluated. In the control group, 9 cases were excellent, 4 cases were good, and 1 case was fair. In the experimental group, 14 cases were excellent, 1 case was good, and 0 case was fair. The functional evaluation of the experimental group was better than that of the control group, and the difference between the two groups was statistically significant (

P
<
0.05

). Conclusion. For infants after replantation of severed fingers, the application of the utility model patented product upper limb restrictive brace can effectively make up for the insufficient fixation of aircraft chest arm gypsum splint, reduce the occurrence of vascular crisis, and assist children in bed. In addition, the application of psychological intervention can reduce children’s postoperative crying and is conducive to children’s postoperative recovery.
Application Effect of Dexmedetomidine and Dezocine in Patients Undergoing Lung Cancer Surgery under General Anesthesia and Analysis of Their Roles in Recovery Time and Cognitive Function
Authors: Ding Jie , Zhu Mengqi , Lv Hu , Zhang Jun , Chen Wei
Published: June 2022

Objective. To explore the application influence of dexmedetomidine (DEX) and dezocine in patients undergoing lung cancer surgery under general anesthesia and analysis of their roles in recovery time and cognitive function. Methods. A total of 120 patients who accepted thoracoscopic pulmonary wedge resection in our hospital from November 2021 to April 2022 were selected and randomly divided into group A (

n

 =60) and group B (

n

 =60). DEX combined with dezocine-assisted anesthesia was performed to group A, and the equal dose of normal saline was administered to group B, so as to compare their inflammatory influence level, brain function, arterial blood gas index, and cognitive function. Results. Compared with group B, group A obtained significantly lower intraoperative and postoperative inflammatory factor levels (

P
<
0.001

), better postoperative brain function and arterial blood gas index (

P
<
0.001

), and lower Loewenstein Occupational Therapy Cognitive Assessment (LOTCA) scores after surgery (

P
<
0.001

). Combining DEX with dezocine-assisted general anesthesia can improve the inflammatory factors level of patients undergoing lung cancer surgery and maintain their brain function and oxygen saturation, so that they have better postoperative cognitive function. Therefore, such anesthesia modality should be promoted in practice.
[Retracted] CD73 (NT5E) Promotes the Proliferation and Metastasis of Lung Adenocarcinoma through the EGFR/AKT/mTOR Pathway
Authors: Zhang Hong , Cao Yu , Tang Jianming , Wang Rui
Published: June 2022

Introduction. Lung cancer is the most common malignant tumor and the main cause of tumor‐related death globally. As the 5‐year survival rate of lung adenocarcinoma (LUAD) remains low, it is necessary to investigate novel molecular markers and therapeutic targets for LUAD. Materials and Methods. The protein expression of CD73 (NT5E) in LUAD specimens was analyzed using immunohistochemistry. Reverse transcription‐quantitative PCR and western blot analysis were used to analyze the mRNA and protein expression levels of several genes in LUAD cells. The proliferation of LUAD cells was evaluated using proliferation and colony formation assays and apoptosis analysis. Wound healing and Transwell invasion assays were used to analyze the migration and invasion of the A549 cells, respectively. In addition, overexpression plasmids and small interfering RNAs were used to overexpress or knockdown the expression levels of CD73 in the A549 cell line, respectively. Finally, the interaction between CD73 and EGFR in the A549 cell line was analyzed using immunoprecipitation. Results. Our research emphasized the importance of CD73 in the prognosis of LUAD and highlighted it as a potential therapeutic target. We also found that the mRNA and protein expression levels of CD73 are increased in LUAD specimens and cell lines and were associated with a poor prognosis in patients with LUAD. Furthermore, it was revealed that CD73 may promote the proliferation, migration, and invasion of the A549 cell line. Finally, we demonstrated that CD73 could bind epidermal growth factor receptor (EGFR) to further regulate the activation of the AKT/mTOR signaling pathway. Conclusions. CD73 promotes LUAD proliferation and metastasis through EGFR/AKT/mTOR axis.
desafío del Hospital Regional de alta especialidad “Dr. Juan Graham Casasús” ante la nueva pandemia de SARS-CoV-2: la ocupación hospitalaria
Authors: Méndez-Irineo Sabrina , Tejeda-Mollinedo Williams , Baeza-Flores Guadalupe Del C. , Ulín-Tejeda Oscar Antionio , Narvaez-Osorio Victor Manuel , Ruiz-Quiñones Jesus Arturo
Published: June 2022

Al inicio de la pandemia en México, el Hospital Regional de Alta Especialidad “Dr. Juan Graham Casasús” contaba con 156 camas para la atención de pacientes críticos por sintomatología correspondiente a COVID-19, para abordar esto, se incrementó en un 50% la capacidad hospitalaria durante el periodo crítico. En los primeros 6 meses de pandemia se brindó atención a cerca del 60% de la población de la región que requirió atención especializada por COVID-19 pero a pesar de los resultados se concluye que COVID-19 representa un importante desafío en el sureste de México. Sobre la base de los resultados actuales se evidencia la necesidad de integrar la detección del SARS-CoV-2 de manera rutinaria reconociendo una nueva normalidad en un hospital de tercer nivel en Tabasco, México.
Proteína tau como biomarcador en Alzheimer preclínico
Authors: Arriagada Javiera , Álvarez Villalobos Rocío
Published: June 2022

El desarrollo de biomarcadores de la proteína tau para el diagnóstico temprano de la enfermedad de Alzheimer (EA) emerge como un desafío fundamental, pudiendo mejorar la efectividad de un tratamiento preventivo o que enlentezca la progresión de la enfermedad. Esta revisión analiza las evidencias que justificarían el uso de la proteína tau como biomarcador en Alzheimer preclínico. Para esto se seleccionaron artículos científicos (2011-2021) que incluyeran a la proteína tau en plasma y plaquetas como biomarcador. La presencia de la proteína tau fosforilada en el líquido cefalorraquídeo presenta limitaciones por su carácter invasivo mientras que las técnicas de imagen son costosas. La medición de tau en plaquetas se correlaciona con la severidad de la demencia, y sería útil en el seguimiento de la EA. Sin embargo, la pertinencia de su uso en la detección temprana de EA se mantiene en discusión. La presencia de proteína tau fosforilada en plasma correspondería al biomarcador con mayor nivel de desarrollo, respecto de beta amiloide. La proteína tau plasmática detecta la EA con gran precisión en casos de demencia y ha sido validada por estudios neuropatológicos. p-tau217 plasmática medida por primera vez junto a técnicas de imagen, fue importante en la etapa preclínica de EA pudiendo predecir la formación de ovillos neurofibrilares. La correlación entre especies fosforiladas de tau en plasma y EA preclínica ha sido bien establecida, por lo que su uso como biomarcador podría ser de utilidad para la comprensión del proceso fisiopatológico de la neurodegeneración y la detección temprana de EA.
Loxoscelismo: revisión de la literatura a propósito de un caso
Authors: Barra Severino Fernanda , Vivanco Paulina , Mix Allan
Published: June 2022

La mordedura de la araña de rincón es un motivo de consulta frecuente en los servicios de urgencia de Chile, que puede producir un cuadro severo con manifestaciones cutáneas y sistémicas. En Chile, Loxocelles laeta se ubica principalmente desde la I a la VIII región, aunque se han reportado casos de loxocelismo en todo el país. El veneno de esta araña tiene efecto cutáneo-necrosante, hemolítico, vasculítico y coagulante. Podemos identificar 3 tipos de loxocelismo: cutáneo necrótico (80% de los casos), cutáneo edematoso (5%) y cutáneo visceral (10-15%). Este último tiene una letalidad entre 1 y 3% del total de casos de loxocelismo, la cual depende en gran parte de la precocidad de su diagnóstico y manejo oportuno. Se debe controlar cualquier tipo de loxocelismo durante las primeras 24 a 48 horas y vigilar la aparición de síntomas y signos sugerentes del cuadro visceral. No existe ningún examen de laboratorio que confirme el diagnóstico, los cuales sólo se alteran de modo marcado en los casos viscerales. El manejo de las lesiones cutáneas es con hielo local, antiinflamatorios, antihistamínicos y curaciones seriadas. En caso del loxocelismo visceral, el tratamiento principal es de soporte. La dapsona fue una indicación frecuente en el pasado y se asocia a efectos adversos graves, siendo el principal la exacerbación de la hemólisis, por lo que actualmente su uso no está recomendado. El suero anti-loxoceles no tiene evidencia que avale menor severidad ni mortalidad del cuadro.
Cost-Effectiveness of Waiving Coinsurance for Follow-Up Colonoscopy after a Positive Stool-Based Colorectal Screening Test in a Medicare Population
Authors: Fendrick A. Mark , Lieberman David , Vahdat Vahab , Chen Jing Voon , Ozbay A. Burak , Limburg Paul J.
Published: June 2022

Commercial insurance covers a follow-up colonoscopy after a positive colorectal cancer–screening test with no patient cost-sharing. Instituting a similar policy for Medicare beneficiaries may increase screening adherence and improve outcomes. The cost-effectiveness of stool-based colorectal cancer screening was compared across adherence scenarios that assumed Medicare coinsurance status quo (20% for follow-up colonoscopy) or waived coinsurance. The CRC-AIM model simulated previously unscreened eligible Medicare beneficiaries undergoing stool-based colorectal cancer screening at age 65 for 10 years. Medicare costs, colorectal cancer cases, colorectal cancer–related deaths, life-years gained (LYG), and quality-adjusted life-years (QALY) were estimated versus no screening. Scenario 1 (S1) assumed 20% coinsurance for follow-up colonoscopy. Scenario 2 (S2) assumed waived coinsurance without adherence changes. Scenarios 3–7 (S3–S7) assumed that waiving coinsurance increased real-world stool-based screening and/or follow-up colonoscopy adherence by 5% or 10%. Sensitivity analyses assumed 1%–4% increased adherence. Cost-effectiveness threshold was ≤$100,000/QALY. Waiving coinsurance without adherence changes (S2) did not affect outcomes versus S1. S3–S7 versus S1 over 10 years estimated up to 3.6 fewer colorectal cancer cases/1,000 individuals, up to 2.1 fewer colorectal cancer deaths, up to 20.7 more LYG, and had comparable total costs per-patient (≤$6,478 vs. $6,449, respectively) as reduced colorectal cancer medical costs offset increased screening and colonoscopy costs. In sensitivity analyses, any increase in adherence after waiving coinsurance was cost-effective and increased LYG. In simulated Medicare beneficiaries, waiving coinsurance for follow-up colonoscopy after a positive stool-based test improved outcomes and was cost-effective when assumed to modestly increase colorectal cancer screening and/or follow-up colonoscopy adherence.

Prevention Relevance:

Follow-up colonoscopy after a positive stool-based test is necessary to complete the colorectal cancer-screening process. This analysis demonstrated that in a simulated Medicare population, waiving coinsurance for a follow-up colonoscopy improved estimated outcomes and was cost-effective when it was assumed that waiving the coinsurance modestly increased screening adherence.

See related Spotlight, p. 641
Esophageal Perforation Due to a Calcium Supplement Tablet
Authors: Zijlstra Michael K. , Silvers Robert I. , Fimmel Claus J. , Krantz Seth
Published: June 2022

Pill-induced esophagitis due to calcium supplements is extremely uncommon. We present a 60-year-old female patient with pill-induced esophageal perforation complicated by mediastinal abscess and esophago-pleural fistula following ingestion of a single over-the-counter “bone supplement” tablet containing mainly calcium.
Anomia with Amnesia Caused by Hemorrhage in the Left Anterior and Medial Thalamus: Thalamic Anomia Particularly for Artificial Objects
Authors: Sakurai Yasuhisa , Mannen Toru
Published: June 2022

We herein report the case of a patient who showed pure anomia and amnesia caused by hemorrhage in the left thalamus, involving the anterior, ventral anterior, and mediodorsal nuclei. It was revealed that the anomia was characterized by impaired retrieval of object names, which was more pronounced in artificial objects, and abundant perseveration, whereas the amnesia was mild and limited to daily routine events, which was made clear from the results of an episodic memory scale. Detailed lesion localization and literature review revealed that a combination of pure anomia and amnesia can occur in a lesion involving the anterior, ventral anterior, or mediodorsal nucleus of the thalamus. The relative specificity to artificial objects can be explained by the locally damaged fiber connection to the putative category-specific lexical area in the temporal lobe.