bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization of Three-Dimensional Model of Landscape Space Based on Big Data Analysis
Authors: Wang Cuixia
Published: August 2022

Based on virtual reality technology, landscape 3D modeling provides users with the possibility to construct a simulated garden landscape environment design effect online, so it has high requirements for accuracy. With the continuous improvement of precision requirements, the number of people involved in the construction of 3D models is also increasing, which puts forward higher requirements for modeling. Based on this, this paper studies the optimization strategy of landscape space 3D model based on big data analysis. Based on the analysis of the establishment of the 3D model and the related algorithm research, this paper analyzes the optimal design of the 3D model under the background of big data. In the 3D modeling of the edge folded area, it is based on the traditional quadratic error measurement grid simplification algorithm, combined with the vertex error matrix to simplify, so as to shorten the modeling time. Based on an efficient search algorithm, an adaptive nonsearch fractal image compression and decoding method is proposed in the image compression and decoding stage of 3D modeling. The search is performed by specifying the defined area block. Finally, an experiment is designed to analyze the performance of the optimization algorithm. The results show that the improved edge folding region algorithm can reduce errors on the basis of ensuring image quality, and the adaptive search algorithm can shorten the search time and improve the compression rate. This method provides a technical reference for the visualization experience and simulation system of garden landscape design and improves the presentation quality of virtual garden landscape design scenes.
Construction of Nanomaterials and the Role of Rutin in the Treatment of Cerebral Hemorrhage
Authors: Li Xin , Gao Zhenzhong
Published: August 2022

Cerebral hemorrhage generally refers to nontraumatic cerebral parenchymal hemorrhage. In China, about 20%–30% of all stroke in a month after the mortality rate can be as high as 40%. And most of the survivors have obvious neurological dysfunction, to the patient’s family and society from all walks of life caused great psychological pressure, which will seriously affect the human physical and mental health. This article aims at studying the construction of nanomaterials and the role of rutin in the treatment of ICH. It first introduces the characteristics of nanomaterials; nanomaterials have some special effects based on their special internal structural properties and surface states. These effects derive many physical and chemical properties that general substances do not possess, such as optical, electrical, magnetic, catalytic, and photocatalytic properties. A simple analysis of cerebral hemorrhage then gives the nanomaterials the first-principles algorithm. Practical application of nanomaterials is a class of nanomaterials, which have many strange chemical characteristics such as special light, electric, magnetic, thermal, mechanical, mechanical physical, and chemical characteristics. Then, the nanocomposite of rutin electrochemical detection is analyzed, and finally rutin and analog brain drug dynamics is discussed. The experimental results showed that the RSD of samples at room temperature, freeze-thaw cycles, and long-term stability of the mice were less than 5.0%, and the stability of mouse brain tissue homogenate samples completely meets the requirements of troxerutin, rutin, and troxerutin aglycone.
AR Construction Technology of Blended English Teaching Mode in Colleges
Authors: Wu Xiaoliang , Gao Pengfei
Published: August 2022

Because the educational goals set by the traditional teaching mode are too single, students gradually lose interest in learning. In the information age, there are more and more cases of various emerging technologies being applied to the field of education, and college English education should also be strengthened. The application of these technologies will help to realize the diversified development of the presentation of teaching content. AR has developed rapidly. It can help people connect with the virtual world, obtain information in real time, and apply it in teaching classrooms to help students participate in knowledge exploration and strengthen student-student and teacher-student interaction. This research designs and develops a blended English case teaching resource based on AR, applies the teaching resource to the classroom of universities, and then tests the application effect of the resource.
[Retracted] Exploration of the Effects of TGF‐β Pathway‐Based Pituitary Tumor of Rats on GH3 Cell Line after Intervention with Different Concentrations of TGZ
Authors: Duan Jiafeng , Hu Chunmei , Zhang Qiujuan , Zhu Jin
Published: August 2022

The effect of the TGF‐β pathway‐based pituitary tumor of rats on the GH3 cell line after intervention with different concentrations of troglitazone (TGZ) is explored. The CH3 cell line of 24 clean male SD rats with pituitary adenoma is selected. The cells are divided into a blank contrast set and an experimental set. The experimental set is divided into different TGZ concentration sets, including 1 × 10−3 TGZ set, 1 × 10−4 TGZ set, and 1 × 10−5 TGZ set. The cell proliferation is detected by the CCK‐8 method, the protein expressions of CD147, TGF‐β1, and MMP‐9 are detected by the western blot method, and the relative mRNA expressions of CD147, TGF‐β1, and MMP‐9 are detected by the qRT‐PCR method. The expression levels of CD147, TGF‐β1, and MMP‐9 in CH3 cells of pituitary adenoma rats are notoriously lower, while the expression of CD147, TGF‐31, and MMP‐9 could be reduced by TGZ acting on the GH3 cell line. The specific mechanism of action of this effect on the invasive ability of GH3 cell lines is multifaceted, suggesting that peroxisome proliferator activator‐receptor (PPAR‐γ) agonists have good clinical application prospects in tumor therapy and can provide new targets and approaches for tumor drug therapy.
Implementation of Digitalized Technologies for Fashion Industry 4.0: Opportunities and Challenges
Authors: Akram Shaik Vaseem , Malik Praveen Kumar , Singh Rajesh , Gehlot Anita , Juyal Ashima , Ghafoor Kayhan Zrar , Shrestha Sachin
Published: August 2022

The Sustainable Development Goals of the United Nations prioritize sustainability by 2030. The fashion industry is one most substantial manufacturing industries that generate an economy of 3 trillion dollars and contributes to 2% of the world’s gross domestic product. In addition to this, the fashion industry must focus on social and environmental concerns, where it should create fashionable products to promote sustainable consumption and production. Sustainable consumption and production can be achieved with the establishment of resilient infrastructure with innovation. The resilient infrastructure with innovation is realized by the integration of digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, augmented reality (AR), and virtual reality (VR). With this motivation, this study explored the different studies that implemented these technologies in the fashion industry for smart cloth (health), supply chain, circular economy, dress recommendation system, fashion trend forecasting, health prediction, and virtual and augmented based shopping experience. Along with the progress of these technologies in the fashion industry, the study also discussed limitations and provided recommendations such as wide adoption of blockchain in fashion supply chain; advancement in energy storage for smart cloth; integration of IoT, AI, and edge computing; and smart clothing-based framework for rescue operation for future enhancement.
Deep Learning-Based Posture Recognition for Motion-Assisted Evaluation
Authors: Yuan Yi , Zheng DongXia
Published: August 2022

With the development of computer vision technology, human action pose recognition has gradually become a popular research direction, but there are still some problems in the application research based on pose recognition in sports action assisted evaluation. In this paper, the human motion pose recognition technology based on deep learning is introduced into this field to realize the intelligence of sports-assisted training. Firstly, we analyze the advantages and limitations of the state-of-the-art human motion pose recognition algorithms in computer vision in specific fields. On this basis, a human motion space recognition method based on periscope neural network is proposed. Firstly, the classical radar signal processing method is used to preprocess the echo signal of human spatial position and generate the frequency image in the process of human spatial position. Then, the periscope neural network (CNN) is constructed, and the time-frequency image is used as the input data of CNN to train the network parameters. Finally, the method is tested by using the open dataset in the network. The experimental results show that the designed CNN can accurately identify four different types of physical motion, and the accuracy coefficient is at least 97%.
Application of Digital Image Processing Technology in Textile and Garment Field
Authors: Shih Jhan-Rong
Published: August 2022

In order to study the shortcomings of traditional manual inspection of clothing, improve the quality of clothing. A method of applying digital image processing technology in the field of textile and clothing is proposed. This method combines computer digital image technology to propose an image processing and measurement process technology based on the Labview platform. Through the effective combination of neural networks and support vector machines, methods such as deep learning can better realize the recognition and classification of clothing images. According to a random interview survey of 80 people, 78 people think that the quality of clothing is the most important, and 2 people think that beauty is the most important. The experimental results show that the digital book processing technology platform can further improve the accuracy of clothing detection.
An Advanced System-Level Testing for Roadside Multimodal Sensing and Processing in IoV
Authors: Wang Yancong , Wang Jian , Bao Xuyan , Yu Bingyan , Ge Yuming
Published: August 2022

Currently, there are mature test methods for specific sensing devices or processing devices in the Internet of Vehicles (IoV). However, when a system is combined with these different types of devices and algorithms for real scenarios, the existing device-level test results cannot reflect the comprehensive functional or performance requirements of the IoV applications at the system level. Therefore, novel application-oriented system-level evaluation indexes and test methods are needed. To this end, we extract the data processing functional entities into specific and quantifiable evaluation indexes by considering the IoV application functions and performance requirements. Then, we build a roadside sensing and processing test system in a real test zone to collect and process these evaluation indexes into accurate multidimensional ground-truth. According to the actual test results of multiple manufacturers’ solutions, our proposed test method is verified to effectively evaluate the performance of the system-level solutions in real IoV application scenarios. The unprecedented evaluation indexes, system-level test method, and the actual test results in this paper can provide an advanced reference for academics and industry.
Revocable One-Time Ring Signature from Pairings
Authors: Han Xu , Zhang Dawei , Huang Zongmin , Yao Shuang , Wu Zuodong
Published: August 2022

Ring signature is an anonymous signature that allows a person to sign a message on behalf of a self-formed group while concealing the identification of the signer. However, due to its anonymity and unlinkability, malicious or irresponsible signers can easily attack the signature without any responsibility in some scenarios. In this paper, we propose a novel revocable one-time ring signature (roRS) scheme from bilinear pairings, which introduces linkability and mandatory revocability into ring signature. In particular, linkability can resist the double-signing attack and mandatory revocability guarantees that a revocation authority can identify the actual signer when a suspicious signer appears in any situation. The computational complexity of pairing computations is constant, and the time of the revocation phase is more efficient than previous schemes. Furthermore, our scheme is provable secure in the random oracle model, using DL, CDH, and DBDH assumptions.
A Study of Stock Market Predictability Based on Financial Time Series Models
Authors: Yu Yan
Published: August 2022

In today’s era of economic globalization and financial integration, the stock market is constantly complex, showing many deviations that cannot be explained by classical financial analysis, but at the same time, some classic financial statistical features have striking similarities. This suggests that although the stock market is intricate, there are universal laws that can be found through data mining to find its underlying operating rules. In this paper, we construct financial time series models such as ARIMA, ARCH, and GARCH to predict the stock market price fluctuations and trends. The ARIMA model is used to fit the linear financial time series, and the GARCH model is used to fit the nonlinear time series residuals. The results show that the integrated tree model based on the idea of weight voting has high accuracy in predicting stock market bulls and bears, with XGBoost prediction accuracy up to 96%, and the neural network model is also very effective, with an accuracy rate of over 90%.
Construction of Innovative Working Mode of College Counselors Based on Data Mining Technology
Authors: Wang Lei , Xu Jian
Published: August 2022

Data mining technology can analyze and mine university management data, provide more data support for university management, and play an important role in optimizing teaching quality, but these technologies are rarely applied to the work of university counselors. Based on this, this paper studies the construction and research of college counselors’ innovative work mode based on data mining technology. Based on the simple analysis of the impact of big data on the traditional working mode of counselors, this paper introduces the application of data mining commonly used in colleges and universities and puts forward the existing shortcomings. The innovative working mode of college counselors is designed. In the analysis of students’ daily behavior, the advantages of cluster analysis and support vector machine are used to analyze students’ consumption behavior. The Apriori algorithm is applied to the student achievement early warning management to improve the Apriori algorithm. Simulation results show that the proposed algorithm can shorten the running time, reduce the number of frequent item sets, and improve the classification accuracy.
Probabilistic Linguistic PROMETHEE I and II Methods for Evaluation of the Reform Scheme of Postgraduate Innovation and Entrepreneurship Education Talent Training Mode under the Big Data Environment
Authors: Wu Wenshuai
Published: August 2022

Talent training quality is an important field within higher education research. Innovating the talent training mode and deepening educational reform programs are both of great significance for enhancing the quality of postgraduate innovation and entrepreneurship education in universities. In this study, Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) I and II methods are extended with the probability linguistic term set (PLTS) to accurately express and quantitatively evaluate the reform scheme of postgraduate innovation and entrepreneurship education talent training mode under the big data environment. First, probabilistic linguistic PROMETHEE I and II methods are presented for quantitatively evaluating the reform scheme of postgraduate innovation and entrepreneurship education talent training, which have the advantages of good effectiveness and feasibility. Second, the PLTS is imported into the evaluation methods and applied to accurately depict qualitative information about the index data of the reform scheme effect by the degree of probability. Third, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) with PLTS is proposed to perform a comparative study and conduct visual analysis to verify the effectiveness of the extended probabilistic linguistic PROMETHEE I and II methods. Fourth, an empirical example illustrates the specific evaluation process, verifies the feasibility of the extended methods, and explains the effectiveness of the results. The research findings indicate that the proposed method to reform scheme evaluation can lead to better decision quality, especially in a complex fuzzy and uncertain decision-making environment.
Inhibition of TNF-α and JNK Signaling Pathway Can Reduce Paclitaxel-Induced Apoptosis of Mouse Cardiomyocytes
Authors: Ren Shuang , Huang Tianwen , Ou Danyan , Feng Luhuai , Huang Sisi , Zhou Chaonan , Ge Lianying
Published: August 2022

Paclitaxel (PTX) is a widely used chemotherapeutic drug for treating tumors. However, studies have shown that it can cause cardiac problems such as arrhythmia, myocarditis, chronic cardiomyopathy, and heart failure. Therefore, it is essential to study the mechanism behind the cardiotoxicity of PTX in tumor treatment. In this study, we initially injected PTX into mice to establish a myocardial cell apoptosis model to observe the degree of damage to mouse myocardium caused by PTX. Upon determining the levels of mouse myocardial creatine phosphokinase (CK), myokinase isoenzyme (CK-MB), aspartate transaminase (AST), and lactate dehydrogenase (LDH), we found that all of these levels showed apparent increases in mice treated with PTX. Further analyses of the TNF-α level and the expression of Jun N-terminal kinase (JNK) and Bcl-2 family-related proteins in myocardial tissue were performed. It was found that PTX increased the protein levels of TNF-α, Bax, p-JNK, and JNK in myocardial tissue but decreased the protein level of Bcl-2. After 1 month of PTX treatment in mice, we inhibited the expression of TNF-α and JNK proteins, which reduced the effect of paclitaxel on the apoptosis of mouse cardiomyocytes. The protein levels of Bax, p-JNK, and TNF-α in cardiomyocytes were reduced, while there was a relative increase in the Bcl-2 protein level. The findings suggested that inhibition of the NK signaling pathway and TNF-α can lessen the effect of PTX on mouse cardiomyocytes.
Activation of LRP1 Ameliorates Cerebral Ischemia/Reperfusion Injury and Cognitive Decline by Suppressing Neuroinflammation and Oxidative Stress through TXNIP/NLRP3 Signaling Pathway in Mice
Authors: Yang Cheng-Jie , Li Xin , Feng Xiao-Qing , Chen Ye , Feng Jian-Guo , Jia Jing , Wei Ji-Cheng , Zhou Jun
Published: August 2022

Cerebral ischemia/reperfusion (I/R) injury is a clinical event associated with high morbidity and mortality. Neuroinflammation plays a crucial role in the pathogenesis of I/R-induced brain injury and cognitive decline. Low-density lipoprotein receptor-related protein-1 (LRP1) can exert strong neuroprotection in experimental intracerebral hemorrhage. However, whether LRP1 can confer neuroprotective effects after cerebral I/R is yet to be elucidated. The present study is aimed at investigating the effects of LRP1 activation on cerebral I/R injury and deducing the underlying mechanism involving TXNIP/NLRP3 signaling pathway. Cerebral I/R injury was induced in mice by bilateral common carotid artery occlusion. LPR1 ligand, apoE-mimic peptide COG1410, was administered intraperitoneally. To elucidate the underlying mechanism, overexpression of TXNIP was achieved via the hippocampal injection of AAV-TXNIP before COG1410 treatment. Neurobehavioral tests, brain water content, immunofluorescence, Western blot, enzyme-linked immunosorbent assay, HE, and terminal deoxynucleotidyl transferase dUTP nick end labeling staining were performed. Our results showed that the expressions of endogenous LRP1, TXNIP, NLRP3, procaspase-1, and cleaved caspase-1 were increased after cerebral I/R. COG1410 significantly ameliorated cerebral I/R-induced neurobehavioral deficits, brain edema, histopathological damage, and poor survival rate. Interestingly, COG1410 inhibited microglia proinflammatory polarization and promoted anti-inflammatory polarization, decreased oxidative stress, attenuated apoptosis, and inhibited the expression of the TXNIP/NLRP3 signaling pathway. However, the benefits of COG1410 were abolished by TXNIP overexpression. Thus, our study suggested that LRP1 activation with COG1410 attenuated cerebral I/R injury at least partially related to modulating microglial polarization through TXNIP/NLRP3 signaling pathway in mice. Thus, COG1410 treatment might serve as a promising therapeutic approach in the management of cerebral I/R patients.
Online Labor Education Optimization Method Based on Computer Intelligent Algorithm
Authors: Huang Liming , Zheng Tingting , Huang Qiaomin
Published: August 2022

People’s lives are undergoing tremendous changes with the development of the times. Compared with the past, people’s pursuit of spiritual and cultural life also makes our education field usher in a huge development to adapt to the changes in the context of the times. But, at the same time, the development of labor education is gradually being downplayed by people, resulting in a series of problems such as people preferring comfort and not working. Aiming at this common problem, this paper will use the ant colony algorithm and particle swarm optimization algorithm in the computer intelligent algorithm to optimize the way of labor education. It includes the principle and basic process of the ant colony algorithm, the establishment of the mathematical model of the original ant colony algorithm, and the improved algorithm of the ant colony algorithm. The research results of the optimization method of labor education showed the following: when the number of ant colonies reaches 51, the number of iterations of the algorithm will be the least, and the corresponding shortest path is also the best solution; when the combination of pheromone intensity and volatility factor is 3, the optimal solution can be quickly found, and the algorithm inflection point of MMAS is 44.82. From the research results, it can be seen that the computer intelligent algorithm has a good choice for the optimization of labor education and can achieve a major breakthrough in the traditional model of labor education.
Identification and Validation of Three Hub Genes Involved in Cell Proliferation and Prognosis of Castration-Resistant Prostate Cancer
Authors: Yu Pan , Dai Yibei , Zhuang Tingting , Yue Xiaofang , Chen Yuhua , Wang Xuchu , Duan Xiuzhi , Ping Ying , Xie Yiyi , Cao Ying , Tao Zhihua
Published: August 2022

Background. The acquisition of castration resistance is lethal and inevitable in most prostate cancer patients under hormone therapy. However, effective biomarkers and therapeutic targets for castration-resistant prostate cancer remain to be defined. Methods. Comprehensive bioinformatics tools were used to screen hub genes in castration-resistant prostate cancer and were verified in androgen-dependent prostate cancer and castration-resistant prostate cancer in TCGA and the SU2C/PCF Dream Team database, respectively. Gene set enrichment analysis and in vitro experiments were performed to determine the potential functions of hub genes involved in castration-resistant prostate cancer progression. Results. Three hub genes were screened out by bioinformatics analysis: MCM4, CENPI, and KNTC1. These hub genes were upregulated in castration-resistant prostate cancer and showed high diagnostic and prognostic value. Moreover, the expression levels of the hub genes were positively correlated with neuroendocrine prostate cancer scores, which represent the degree of castration-resistant prostate cancer aggression. Meanwhile, in vitro experiments confirmed that hub gene expression was increased in castration-resistant prostate cancer cell lines and that inhibition of hub genes hindered cell cycle transition, resulting in suppression of castration-resistant prostate cancer cell proliferation, which confirmed the gene set enrichment analysis results. Conclusions. MCM4, CENPI, and KNTC1 could serve as candidate diagnostic and prognostic biomarkers of castration-resistant prostate cancer and may provide potential preventive and therapeutic targets.
Deconstruction and Implementation of Strategic Human Resource Management Evaluation Algorithm Using Data Mining Technology
Authors: Liu Jie
Published: August 2022

With the rapid development of information technology, especially the extensive use of databases, computer networks, and other fields, the amount of data held by enterprises is also growing rapidly. With the current shortage of human resources and the pressure of talent competition, the evaluation of human resource management in enterprises is particularly important. Creating measures to attract talents, innovating the understanding management system, formulating a standard talent evaluation system, avoiding the occurrence of improper employment accidents, rationally allocating the weight of human resources, and cultivating the loyalty of employees to the enterprise have become the challenges that more and more companies need to face. In response to the problems raised above, this paper conducts an in-depth excavation of strategic human resource management evaluation and uses in-depth excavation technology. Due to the huge amount of data in the human resource management system, data mining algorithms such as the ID3 algorithm, GBDT algorithm, and Bayesian network are proposed to classify and evaluate the data. Based on these data mining techniques, the strategic human resource management evaluation algorithm is researched and tested. First, the decision tree algorithm is used to build a decision tree for the educational background, identity, and other information of a company’s staff to classify the employees. The factor analysis test results show that after deleting a single similar factor, the variance contribution rate of each influencing human resource management evaluation has a certain increase. Employee engagement and organizational culture rose by 2 percent, while employee satisfaction, organizational learning, and organizational capability each rose by 1 percent. Therefore, data mining technology patient decision tree algorithm is effective for strategic human resource management evaluation.
[Retracted] Thromboelastography Parameters in Urosepsis: A Retrospective Study
Authors: Qiao Yun , Lu Xiaoye
Published: August 2022

Thromboelastography (TEG) is usually used to monitor coagulation disorder clinically. It is unclear whether TEG has association with urosepsis and sepsis‐induced coagulopathy (SIC). The purpose of this study was to investigate the clinical significance of TEG parameters in urosepsis. 90 patients who were admitted to the Emergency Ward and Emergency Intensive Care Unit (EICU) of Ren Ji Hospital affiliated to Shanghai Jiao Tong University School of Medicine due to urinary infection from February 2014 to February 2022 were retrospectively studied. Urosepsis patients and non‐sepsis patients were separately investigated according to the final discharge diagnosis and Sepsis 3.0. At the same time, patients with urosepsis were further divided into groups of SIC and non‐SIC based on the definition of SIC. The data of clinical features, laboratory biomarkers, and TEG parameters were collected and analyzed. There were significant differences in white blood cell count, C‐reactive protein (CRP), platelet count, procalcitonin (PCT), fibrinogen (FIB), international normalized ratio (INR), prothrombin time (PT), D‐dimer, and incidence of urinary tract obstruction between the urosepsis group and non‐sepsis group (P < 0.05). In the comparison with non‐sepsis group, K value was significantly lower (P = 0.006), while α‐angle (P = 0.003) and clot index (CI) (P = 0.048) were significantly higher in urosepsis group. The area under the K value curve excluding urosepsis was 0.667. The areas under CI and α‐angle curves for diagnosing urosepsis were 0.682 and 0.621, respectively. The patients in SIC group had significantly higher K value, lower α‐angle, and maximum amplitude (MA) than those in non‐SIC group (P < 0.05). Coagulopathy is prone to occur in patients with urosepsis. TEG is helpful for assessment of hypercoagulable state in urosepsis and prediction of hypocoagulability in SIC patients implying the dynamic process of DIC.
Application of Internet of Things Technology to Promote High-Quality Development of Resource-Based City Industrial Transformation and Upgrading Demonstration Areas
Authors: Wang Xiaojun
Published: August 2022

As a new generation of information technology, the Internet of Things technology has a very broad development prospect. It can not only cultivate strategic emerging industries, but also transform and upgrade traditional industries and promote the transformation of economic development mode. Industrial transformation and upgrading is a strategic choice for high-quality development of resource-based cities. As one of the first national demonstration areas for industrial transformation and upgrading, Loudi has made good progress in industrial transformation and upgrading in recent years, with more reasonable industrial structure, gradually emerging industrial upgrading effect, optimized internal structure of industry, and the trend of green development of the industry. At present, the industrial transformation and upgrading of Loudi is hampered by the local government, enterprises, and talents, and the technological innovation is obviously insufficient. The main bottlenecks are that low fiscal revenue and less fiscal expenditure of science and technology lead to insufficient services and guidance for industrial transformation and upgrading by local governments, low R&D investment and less scientific and technological innovation results lead to weak innovation momentum for enterprises to promote industrial transformation and upgrading, low human capital reserve and low consumption potential lead to a weak fundamental guarantee for industrial transformation and upgrading driven by human capital. The suggestions are to increase financial investment in science and technology, set up local government guidance fund, play the role of financial capital in the industrial transformation and upgrading of traction and leverage guidance, guide enterprises to increase their investment in R&D, create a favorable environment for scientific and technological innovation, and strengthen the main role of enterprises in innovation in industrial transformation and upgrading, strengthen the introduction of innovative and highly skilled personnel, take a variety of measures to reform the mechanism for training innovative personnel, and ensure the fundamental guarantee for talents in industrial transformation and upgrading.
[Retracted] The Construction of a Diversified and Open Teacher Education System Management System That Integrates Public Mental Health
Authors: Qin Jixin
Published: August 2022

The teacher education management system is crucial to the operation of the teacher education system (TES). It is the core institutional system of the TES, which stipulates the management authority and functional scope of the relevant departments of the TES. After the new pluralistic and open TES is formed, the original management system must be adjusted accordingly. In this context, this article integrates public mental health (PMH) into the diversified and open management system of TES and then uses a neural network to evaluate and complete the following tasks: (1) this article introduces the development status of diversified and open TES management systems at home and abroad and the importance of public psychology courses to teacher education. (2) The framework of TES integrating PMH is proposed, and then the principles of BPNN and gray wolf optimization (GWO) algorithm are introduced, and the IGWO‐BPNN model is constructed accordingly. (3) The convergence and fitness of the IGWO‐BP model and the GWO‐BP model are compared through experiments, which proves the superiority of the performance of the IGWO‐BP model. The optimal model is constructed by selecting parameters, and then the output of the model is compared with the expert evaluation results, and the error is small. It is proved that the model has superior performance in evaluating the professional quality of teacher education. (4) This article selects three professional quality evaluation indicators of teacher education to compare the changes before and after the integration of PMH. The results show that the proposed diversified and open management system of TES integrating PMH can effectively improve the professional quality of teachers in all aspects.
Application of Internet of Things Technology in Mechanical Automation Control
Authors: Xie Yonghui , Li Haiqing , Jia Qiushaung , Nie Xiumin
Published: August 2022

In order to solve the problem of low production efficiency of the mechanical electromechanical automatic control system, this paper proposes a manufacturing mechanical automatic detection system based on Internet of things technology. Automatic detection of manufacturing machinery is realized by setting data module monitoring, which includes the data monitoring module and signal detection module. The experimental results show that compared with the traditional computer vision system, the detection system designed in this paper has a higher level of basic data and better detection accuracy. The detection accuracy can be improved by about 10% in different detection times. Conclusion. The mechanical and electrical automation control system based on the Internet of things can effectively improve the production efficiency and control accuracy of the mechanical and electrical automation control system.
Design of Question Answering Interactive Open Platform for Power Grid Business Acceptance Robot
Authors: Wu Shisong
Published: August 2022

In order to improve the matching degree between answers and questions of the power grid business acceptance robot question answering platform, an interactive open platform for power grid business acceptance robot question answering is designed. Firstly, an open platform of questions and answers interaction with data layer and information retrieval layer as the main body is constructed. To improve the question and answer interactive open platform database, the data layer is divided into three modules: data collecting, database setup, and data storage. At the same time, the information retrieval layer is divided into user input, answer display, query expansion, and information retrieval modules. To improve the retrieval accuracy, the corresponding answers are matched by using the similarity between questions and documents in the information retrieval module, and finally, the design of the question and answer interactive open platform of power grid business acceptance robot is realized. The experimental results demonstrate that the designed platform’s service acceptance accuracy is high, the AUC curve is low, and the degree of matching between replies and queries is high.
Application Effect and Prognosis of High-Quality Nursing in the Whole Process of Nursing in Lung Cancer Surgery
Authors: Mei Ling , Xu Yan , Shi Qingtong , Wu Chen
Published: August 2022

Objective. To explore the application effect and prognostic benefits of whole-course high-quality nursing in lung cancer patients after surgery. Methods. Sixty patients with lung cancer who underwent surgical treatment in the Department of Respiratory Medicine from April 2020 to July 2021 were recruited and assigned to receive either conventional nursing (control group) or whole-course high-quality nursing (intervention group) using the random number table method, with 30 cases in each group. Outcome measures included self-rating anxiety scale (SAS) scores, self-rating depression scale (SDS) scores, nursing compliance, patient satisfaction, complications, and patient prognosis. Results. Patients receiving whole-course high-quality nursing showed significantly lower SAS and SDS scores versus those given conventional nursing (

P
<
0.05

). Whole-course high-quality nursing resulted in higher patient compliance versus conventional nursing (

P
<
0.05

). Patients in the intervention group were more satisfied with the nursing compared with those in the control group (

P
<
0.05

). Whole-course high-quality nursing resulted in a lower incidence of complications, postoperative recurrence, and mortality versus conventional nursing (

P
<
0.05

). Conclusion. Whole-course high-quality nursing alleviates the negative emotions of patients after lung cancer surgery, enhances patient compliance and satisfaction, and reduces the incidence of postoperative relapse and complications, which demonstrates great potential for clinical promotion.
[Retracted] Effects of Irrational Use of Antibiotics on Intestinal Health of Children with Extraintestinal Infectious Diseases
Authors: Guo Xiaomei , Sun Lifu , Wang Shengjiang , Shen Yan
Published: August 2022

The effects of different antibiotic treatment regimens on intestinal function and flora distribution in children with extraintestinal infectious diseases are explored. A total of 150 cases of extraintestinal infectious diseases admitted to our hospital from January 2021 to January 2022 and 50 healthy subjects during the same period were selected for the study. These 150 children were randomly divided into cephalosporin group, piperacillin group, and combined group and were successively treated with ceftazidime, piperacillin, and two drug combination regimens. The efficacy of the drug, intestinal microflora, intestinal mucosal barrier function, and incidence of antibiotic‐associated diarrhea (AAD) were compared among the different groups. The experimental results showed that ceftazidime combined with piperacillin can effectively improve the intestinal health of children with extraintestinal infectious diseases but destroy the microecological environment of intestinal flora, affect the intestinal mucosal barrier function, and increase the risk of AAD.
Ear Biometrics Using Deep Learning: A Survey
Authors: Booysens Aimee , Viriri Serestina
Published: August 2022

This paper explores ear biometrics using a mixture of feature extraction techniques and classifies this feature vector using deep learning with convolutional neural network. This exploration of ear biometrics uses images from 2D facial profiles and facial images. The investigated feature techniques are Zernike Moments, local binary pattern, Gabor filter, and Haralick texture moments. The normalised feature vector is used to examine whether deep learning using convolutional neural network is better at identifying the ear than other commonly used machine learning techniques. The widely used machine learning techniques that were used to compare them are decision tree, naïve Bayes, K-nearest neighbors (KNN), and support vector machine (SVM). This paper proved that using a bag of feature techniques and the classification technique of deep learning using convolutional neural network was better than standard machine learning techniques. The result achieved by the deep learning using convolutional neural network was 92.00% average ear identification rate for both left and right ears.
Komplexe Traumasymptomatik nach Missbrauch und Misshandlung in der Kindheit: Stärken und Herausforderungen des Therapieprogramms STAIR-NT
Authors: Rojas Roberto , Hitzler Melissa , Palmer Sebastian , Sauer Karoline Sophie , Wendler-Bödicker Christine , Boos Anne , Hoyer Jürgen , Niemeyer Helen
Published: August 2022

Die Anzahl sowie die Art erlebter traumatischer Erfahrungen (v. a. Missbrauch und Misshandlung in der Kindheit) scheinen das Risiko für die Entwicklung einer komplexen Traumasymptomatik zu erhöhen. Es gibt erste Evidenzen, dass Patient*innen mit einer komplexen Traumatisierung von phasenbasierten Therapieansätzen profitieren. STAIR-NT (Skillstraining zur affektiven und interpersonellen Regulation mit narrativer Therapie) ist ein zweiphasiger Traumatherapieansatz: Während in der STAIR-Phase Emotionsregulations- und interpersonelle Skills gelernt werden, wird in der narrativen Therapie-Phase (NT-Phase) eine Traumaexposition mittels Narrativen durchgeführt, mit dem Ziel, dysfunktionale traumaassoziierte Annahmen zu erkennen und zu verändern. Die Erfahrungen mit STAIR-NT im Rahmen einer aktuellen Therapiestudie zeigen, dass das Phasen-Konzept eine klare Struktur und mehr Sicherheit für die Behandlung zu schaffen scheint. Es werden klinische Erfahrungen mit dem STAIR-NT Ansatz und kurze Fallvignetten präsentiert sowie Empfehlungen für die Praxis und die ambulante Behandlung von Patient*innen mit komplexer Traumatisierung gegeben. Dabei werden konkrete praktische Empfehlungen zur Durchführung und Individualisierung der Interventionen vermittelt, die sich u. a. auf Täterkontakt, Motivationsarbeit, Umgang mit dissoziativen Zuständen, therapeutische Methoden (v. a. Exposition) und den Therapieabschluss beziehen. Die enge Verzahnung von Theorie und Praxis in STAIR-NT erleichtert den Transfer von Lernerfahrungen in den Alltag und fördert die Stärkung der Selbstwirksamkeit und Autonomie der Patient*innen.
Cerebral Hemodynamics and Regional Oxygen Metabolism during Ductus Arteriosus Ligation in Preterm Infants
Authors: Hsu Kai-Hsiang , Lin Chih , Lai Mei-Yin , Wu I-Hsyuan , Chu Jaw-Ji , Chang Yu-Sheng , Chiang Ming-Chou , Lien Reyin
Published: August 2022

Introduction: Neurodevelopmental impairment is a growing concern for preterm infants who received surgical ligation of patent ductus arteriosus (PDA). We aimed to explore the cerebral hemodynamics during the critical period of PDA ligation. Methods: Very-low-birth-weight (VLBW) preterm infants who underwent PDA ligation were prospectively enrolled. Patients were monitored preoperatively and until 72 h post-ligation. Middle cerebral artery (MCA) flow, regional cerebral oxygen saturation (rcSO2), and cardiac output were measured through Doppler ultrasound, near-infrared spectroscopy, and electrical cardiometry, respectively. Using rcSO2 <55% indicating cerebral hypoxia, the duration (% of time) and burden (cumulative negative quantity of rsSO2 <55% × the period [minutes]) were estimated. An abnormal MCA was defined as an MCA flow of <10th percentile of flow velocity or >90th percentile of pulsatility or resistance index. Poor outcomes were defined as in-hospital death or neurologic disorders, either neuroimaging or functional abnormalities, upon discharge. Results: Thirty-two VLBW infants were examined, and 15 (46.9%) had poor outcomes. Infants with poor outcomes had significantly longer duration of cerebral hypoxia (5.4 [2.2–32.3] vs. 1.8 [0.4–5.6] %, p = 0.033) and worse hypoxic burden (2,118 [684–13,549] vs. 622 [88–1,669] %minutes, p = 0.027). In a linear mixed model, rcSO2 was positively correlated with arterial saturation (β 0.860, 95% CI: 0.649–1.070) and negatively correlated with abnormal MCA flow (β −5.287, 95% CI: −8.238 to −2.335). Conclusion: Longer duration of cerebral hypoxia and worse hypoxic burden post-ligation was associated with an increased risk of in-hospital mortality or neurologic disorders upon discharge in VLBW preterm infants.
Evaluation of Skeletal Muscle Mass in Patients with Chronic Liver Disease Shows Different Results Based on Bioelectric Impedance Analysis and Computed Tomography
Authors: Kikuchi Nahoko , Uojima Haruki , Hidaka Hisashi , Iwasaki Shuichiro , Wada Naohisa , Kubota Kousuke , Nakazawa Takahide , Shibuya Akitaka , Kako Makoto , Take Akira , Sakaguchi Yoshihiko , Sato Teruko , Kusano Chika
Published: August 2022

Objective: We aimed to evaluate the difference between computed tomography (CT)-based and bioelectrical impedance analysis (BIA)-based assessment of sarcopenia in patients with chronic liver disease (CLD). Methods: We enrolled a total of 257 patients who were evaluated with or without sarcopenia. Sarcopenia was defined as a low skeletal muscle mass index (SMI) with low muscular strength by the Japan Society of Hepatology. To evaluate whether or not the different methods influence the diagnosis of sarcopenia for patients with CLD, we assessed the number and characteristics of mismatches between the low SMI using BIA and CT. We also compared the overall survival (OS) in patients with and without sarcopenia based on CT and BIA to evaluate the appropriate methods. Results: The numbers of patients with low SMI using BIA or CT were 53 (20.6%) and 114 (44.3%) patients, respectively. Multivariate analysis revealed that hepatic ascites and body weight were independent factors of mismatch between SMI using BIA versus CT (hazard ratio [HR] 3.232, p < 0.001; HR 2.347, p = 0.005, respectively). The median OS in patients with sarcopenia based on CT was significantly lower than that in patients without sarcopenia (p = 0.006). In contrast, there was no difference between patients with sarcopenia based on BIA (p = 0.217). Conclusion: Muscle mass in patients with CLD may be overestimated by the BIA method compared to CT when assessing sarcopenia, especially in cases of fluid retention.
РОЛЬ ЦЕНТРІВ ГРОМАДСЬКОГО ЗДОРОВ’Я У ВИРІШЕННІ ПРОБЛЕМ ХАРЧУВАННЯ ТА ПРОФІЛАКТИЦІ РОЗЛАДІВ ХАРЧОВОЇ ПОВЕДІНКИ
Authors: Шульгай А. Г. , Сатурський О. В. , Сатурська Г. С. , Панчишин Н. Я. , Коллінс Д. М.
Published: August 2022

Мета: з’ясувати роль центрів громадського здоров’я у формуванні засад та принципів правильної харчової поведінки і раціонального харчування в Україні на сучасному етапі розвитку галузі громадського здоров’я в рамках досягнення Цілей сталого розвитку.

Матеріали і методи. Здійснено аналіз доступних інформаційних ресурсів мережі “Internet”, іноземних фахових видань, медичної бази даних MEDLINE/PubMed за останні п’ять років. Застосовано метод інформаційного пошуку та аналітико-порівняльний метод.

Результати. Центральні і регіональні центри контролю та профілактики захворювань і центри громадського здоров’я у питаннях вирішення проблем харчування населення та профілактики розладів харчової поведінки повинні взяти до уваги, в першу чергу, етіологію розладів харчової поведінки, яка на сьогодні є достатньо гетерогенною, включаючи біологічні, психологічні, пов’язані з розвитком особистості та соціально-культурні аспекти. При дослідженні ролі центрів громадського здоров’я в Україні у формуванні засад та принципів правильної харчової поведінки та раціонального харчування слід приділяти увагу можливостям вирішення цієї проблеми в Україні. Проте не всі центри громадського здоров’я в Україні містять таку інформацію, що потребує вдосконалення їх роботи. Важливо звернути увагу на те, щоб інформація була подана правильно, з урахуванням віку, вподобань, освітнього рівня населення, яке буде найчастіше користуватися цією інформацією.

Висновки. Таким чином, для профілактики розладів харчової поведінки та раціонального харчування в Україні на сучасному етапі розвитку галузі громадського здоров’я серед багатьох засобів, доступних для реалізації,  найбільш ефективними є формування у молоді позитивного ставлення до здорового способу життя, формування об’єктивного сприйняття власного тіла, популяризація правильних засад культури харчування в соціумі і регулярний моніторинг якості харчових продуктів з урахуванням світового досвіду центрів контролю та профілактики захворювань у вирішенні цієї проблеми.