bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimization of Innovation and Entrepreneurship Education and Training System in Colleges and Universities Based on OpenStack Cloud Computing
Authors: Xu Chunyan , Song Cai
Published: August 2022

With economic globalization and rapid development of science and technology, many colleges and universities pay more and more attention to the cultivation of students’ innovative thinking and creativity, and innovation and entrepreneurship education has also become an important part of the education system. Due to the current unevenness of teachers in innovation and entrepreneurship education in colleges and universities, high training cost, and lack of strong atmosphere, this paper optimizes the innovation and entrepreneurship education and training system in colleges and universities through OpenStack cloud computing. This paper optimizes the cloud computing platform according to the OpenStack virtual machine and the multiobjective ant colony improvement algorithm and then designs the innovation and entrepreneurship education and training system. The multiobjective ant colony improvement algorithm uses the way ants find food to find the best information resource route from the traces left by the information trend in the cloud platform. In order to test the effectiveness of these methods, this paper uses the simulation method to test. The results show that, sometimes, the load utilization rate of the innovation and entrepreneurship education and training system in colleges and universities exceeds 80%, which is in line with the expected settings. Through the OpenStack cloud computing platform, it can provide a good innovation and entrepreneurship training environment for more users at low cost and low risk and promote the development of innovation and entrepreneurship education.
Text Analysis and Policy Guidance of Emotional Intonation of Enterprise Management Based on Deep Learning
Authors: Yang Ni , Qiu Jing
Published: August 2022

In the context of global science and technology, all countries pay more and more attention to the text analysis of emotional intonation, and the emotional intonation text analysis and policy orientation of enterprise management in major international and domestic enterprises have also changed from shallow to deep. In the twenty-first century, with the rapid development of human society, people’s demand for living standards and material needs increases rapidly, and employees’ awareness and needs for work are constantly changing. At present, there is the problem of emotional intonation text analysis error in the management of the enterprise, and the task and emotional transmission command are not clear and thorough. It is necessary to reasonably use deep-learning-related algorithms, especially convolutional neural network and other algorithms, to study the emotional intonation text analysis and policy guidance of the enterprise management. Aiming at the forefront of deep learning development, the latest deep learning technologies are constantly introduced. The research field of emotional intonation text analysis and policy orientation of enterprise management is focused. Through simulation experiment, the characteristics of emotional intonation text analysis and policy orientation research of different enterprise management are compared and analyzed, so as to further improve the emotional intonation text analysis and policy orientation of deep learning for enterprise management.
Characteristics and Prognostic Nomogram for Primary Lung Lepidic Adenocarcinoma
Authors: Tang Hui , Qiao Caixia , Wang Yingyi , Bai Chunmei
Published: August 2022

Background. Lepidic adenocarcinoma (LPA) is an infrequent subtype of invasive pulmonary adenocarcinoma (ADC). However, the clinicopathological features and prognostic factors of LPA have not been elucidated. Methods. Data from the Surveillance, Epidemiology, and End Results (SEER) database of 4191 LPA patients were retrospectively analyzed and compared with non-LPA pulmonary ADC to explore the clinicopathological and prognosis features of LPA. Univariate and multivariate Cox proportional hazard models were performed to identify independent survival predictors for further nomogram development. The nomograms were validated using the concordance index, receiver operating characteristic curves, and calibration plots, as well as decision curve analysis, in both the training and validation cohorts. Results. Compared with non-LPA pulmonary ADC patients, those with LPA exhibited unique clinicopathological features, including more elderly and female patients, smaller tumor size, less pleural invasion, and lower histological grade and stage. Multivariate analyses showed that age, sex, race, tumor location, primary tumor size, pleural invasion, histological grade, stage, primary tumor surgery, and chemotherapy were independently associated with overall survival (OS) and cancer-specific survival (CSS) in patients with LPA. The nomograms showed good accuracy compared with the actual observed results and demonstrated improved prognostic capacity compared with the TNM stage. Conclusions. LPA is more frequently diagnosed in older people and women. LPA was inclined to be smaller in tumor size and lower in tumor grade and staging, which may indicate a favorable prognosis. The constructed nomograms accurately predict the long-term survival of LPA patients.
Asymmetric Bidirectional Controlled Quantum Teleportation of Three- and Four-Qubit States
Authors: Feng Zhiying
Published: August 2022

In this paper, we theoretically realize bidirectional controlled quantum teleportation by using ten-qubit entangled state method. This paper uses a case to introduce the specific process of realizing quantum teleportation: Alice sends an unknown four-qubit GHZ state to Bob, and Bob sends an arbitrary three-qubit GHZ state to Alice. In addition, Charlie controls the transfer to ensure the integrity of the protocol. A ten-qubit quantum channel is constructed and used in this paper. Then, the unitary matrix transformation is used to complete the communication protocol. The research results show that the communication protocol constructed in this paper is more efficient than most communication protocols.
Minimizing the Machine Processing Time in a Flow Shop Scheduling Problem under Piecewise Quadratic Fuzzy Numbers
Authors: Zhou Tingwei , El-Wahed Khalifa Hamiden Abd , Najafi Seyyed Esmaeil , Edalatpanah S.A.
Published: August 2022

The piecewise quadratic fuzzy number (PQFN) can signify uncertain information that exists in scientific, technological, and engineering fields. Hence, it is a useful tool for describing information in scheduling problems. This study examines structured n‐job flow shop scheduling with fuzzy piecewise quadratic processing times and three machines. Close interval approximation of PQFNs is also offered as one of the most effective approximate intervals. Furthermore, the leasing cost of equipment is minimized with the use of a fuzzy style and an inventive algorithm. To demonstrate how the proposed framework can be used, a numerical illustration is provided.
Evaluation of Patient Comfort and Impact of Different Anesthesia Techniques on the Temporomandibular Joint Arthrocentesis Applications by Comparing Gow-Gates Mandibular Block Anesthesia with Auriculotemporal Nerve Block
Authors: Atalı Onur , Özçelik Elif , Gönül Onur , Garip Hasan
Published: August 2022

Aim. Temporomandibular disorders (TMDs) are clinical situations that are characterized by pain, sound, and irregular movements of the temporomandibular joints. The most common method in the treatment of TMDs is arthrocentesis. This study aims to compare the effect of conventional extraoral auriculotemporal nerve block (ANB) and Gow-Gates (GG) mandibular anesthesia techniques on patient comfort in an arthrocentesis procedure. Materials and Methods. We performed this study on 40 patients who underwent TMJ arthrocentesis with ANB (n = 20) or GG (n = 20) mandibular anesthesia techniques at the Marmara University Faculty of Dentistry between 2016 and 2019. The predictor variable was the type of an anesthesia technique, and the outcome variables included were pain, maximum mouth opening (MMO), and protrusive movement (PM). They were compared at the preoperative period and 3rd and 6th month periods. Statistical analysis included means with standard deviations, a one-way ANOVA for continuous data, and the results were evaluated at the significance level of

p
<
0.05

. Results. No statistically significant difference was observed between the VAS values, MMO, and PM averages of preoperative, 3rd and 6th months of ANB and GG (

p
=
0.142

,

p
=
0.209

, and

p
=
0.148

). Conclusion. Both anesthesia techniques have provided effective results in terms of pain and functional jaw movements in the postoperative period in arthrocentesis treatment.
Analysis of Factors Influencing the Development of mHealth Innovation Based on Data Mining Algorithms
Authors: Ma Rui , Liu Bin
Published: August 2022

Data mining algorithms combine expertise in machine algorithm learning, software modeling pattern recognition, statistical analysis principles, database construction, and artificial intelligence. With the rapid development of Internet technology and the common application of cell phones, mobile medical, a new medical method based on this technology, has been spawned, which greatly facilitates multiple aspects of medical services such as doctor diagnosis, patient treatment, disease care, and health management of critically ill patients and also alleviates the imbalance of medical resources. This paper firstly starts from the background of rapid development of information technology and mobile technology, combines the theoretical knowledge of data mining algorithm and mobile medical, as well as previous research reviews, and presents the main research content of this paper: analysis of factors influencing the development of mobile medical innovation based on data mining algorithm. Based on the K-means algorithm in the data mining algorithm and the Apriori algorithm in the association algorithm, this paper analyzes the current situation and problems of mobile medical development in China based on the algorithm model, analyzes the influencing factors of mobile medical innovation development in China based on the algorithm model, and summarizes and concludes the influencing factors of mobile medical innovation development and concludes that there are four categories of mHealth innovation development influencing factors: demand influence, policy orientation, technological innovation, and capital injection.
Screening and Biological Function Analysis of miRNA and mRNA Related to Lung Adenocarcinoma Based on Bioinformatics Technology
Authors: Jia Kaining , Ren Xiaocang , Liu Yuee , Wang Jiawei
Published: August 2022

Objective. To screen the differentially expressed miRNAs (DEMs) and the differentially expressed gene mRNAs (DEGs) in lung adenocarcinoma (LUAD) from the TCGA database and to explore the relationship between miRNAs and the prognosis of lung adenocarcinoma and their biological functions. Methods. The RNA-seq and miRNA-seq data of lung adenocarcinoma samples were downloaded from the TCGA database for analysis, and the R program was used to screen for differentially expressed miRNAs and mRNAs. Then, the molecular functions, biological processes, cellular components, and signaling pathways involved in the occurrence and development of LUAD were analyzed using the functional accumulation analysis software of GSEA. The relationship between the integrated differentially expressed RNAs was analyzed by miRcode, TargetScan, and miRTarbase databases, and the miRNA-mRNA network was constructed. Result. A total of 516 differentially expressed miRNAs and 5464 differentially expressed mRNAs were identified in LUAD. The GSEA enrichment analysis showed that miRNAs and mRNAs were mainly enriched in extracellular structure organization, external encapsulating structure organization, extracellular matrix organization, and gated channel activity. They were mainly involved in neuroactive ligand-receptor interaction signaling pathway. Some miRNAs and mRNAs in clustering modules were found to be associated with the prognosis of LUAD. Four targeting networks consisting of 22 miRNAs and 531 mRNAs were constructed. Conclusion. The miRNA and mRNA related to the prognosis of LUAD were screened out, which provided a valuable preliminary basis for the follow-upin-depth clinical research and basic experimental research of LUAD.
Database Oriented Big Data Analysis Engine Based on Deep Learning
Authors: Shang Xiaoran
Published: August 2022

In recent years, with the development of enterprises to the Internet, the demand for cloud database is also growing, especially how to capture data quickly and efficiently through the database. In order to improve the data structure at all levels in the process of database analysis engine, this paper realizes the accurate construction and rapid analysis of cloud database based on big data analysis engine technology and deep learning wolf pack greedy algorithm. Through the deep learning strategy, a big data analysis engine system based on the deep learning model is constructed. The functions of deep learning technology, wolf greedy algorithm, and data analysis strategy in the cloud database analysis engine system are analyzed, as well as the functions of the whole analysis engine system. Finally, the accuracy and response speed of the cloud database analysis engine system are tested according to the known clustering data. The results show that compared with the traditional data analysis engine system with character search as the core, the database oriented big data analysis engine system based on a deep learning model and wolf swarm greedy algorithm has faster response speed and intelligence. The research application is that the proposed engine system can significantly improve the effect of the analysis engine and greatly improve the retrieval accuracy and analysis efficiency of fixed-point data in the database.
Research on Sustainable Development of Transport Infrastructure Based on Corporate Culture and Low‐Carbon Perspective
Authors: Fang Wenbin , Ma Chongsen , Lei Zeyang
Published: August 2022

Excellence in corporate culture is the key to achieving sustainable business development. Sustainability can be a source of success, innovation and profitability for a company, driving the achievement of low‐carbon goals for transport infrastructure enterprises. The aim of this study is to examine the relationship between corporate culture and corporate sustainability from the perspective of transport infrastructure enterprises, and to identify which corporate culture factors may have an impact on the sustainable low carbon development of transport infrastructure enterprises. To achieve this, we constructed a structural equation model based on 351 cases in Hunan Province and examined the relationship between corporate culture and sustainable low‐carbon development using partial least squares structural equation modeling. The findings suggest that corporate values and corporate culture management capabilities play an important role in promoting sustainable development of transport infrastructure enterprises at the economic and low‐carbon levels.
Using Enhanced Reordered Census Transform for Semiglobal Stereo Matching Algorithm
Authors: Wu Xiang , Lian Hao , Bao Xiangwei , Zhang Shijie , Chen Tianfei
Published: August 2022

We present a semiglobal stereo matching technique that combines enhanced census transform with unidirectional dynamic programming optimization. This method not only improves matching accuracy but also substantially reduces noise interference by using the 8-domain pixel median instead of the centre pixel in the standard technique and optimizing the initial matching generation value with the 8-path aggregation optimization algorithm. The experimental findings show that this suggested strategy efficiently avoids interference produced by various noises and reduces the false matching rate significantly.
Application of Computer Vision and Sensor Technology in Multivariate Assessment of Ecological Environment Carrying Capacity
Authors: Wang Zhiguo , Wang Wei
Published: August 2022

In order to solve the problems of low accuracy and long monitoring time of the existing ecological environment monitoring system, this study puts forward the application method of computer vision and sensor technology in the multivariate evaluation of ecological environment carrying capacity. In this method, the monitor, server, and spatial identifier are designed in the hardware area of the ecological environment monitoring system to maximize the monitoring performance according to the data memory. By analyzing the monitoring principles of RS technology and GIS positioning technology, the devices in the hardware area are reasonably called, and the workflow of the ecological environment monitoring system is summarized, so as to complete the optimization of the ecological environment monitoring system based on RS and GIS technology. The experimental results show that the monitoring accuracy of the ecological environment monitoring system proposed in this study is higher than that of the traditional monitoring system, with an average of 95.4%; the detection time is about 70 s, which is the lowest compared with other systems when the detection quantity is from 0 to 40 and the detection time is from 0 to 80. The designed monitoring system effectively improves the monitoring effect of the ecological environment and promotes the sustainable development of the ecological environment.
Analysis of Epidemiological Characteristics of New Cardiovascular Diseases in Cancer Patients with Cardiovascular Disease
Authors: Zhang Guangchong , Zhang Yiwen , Li Wenguan
Published: August 2022

In cancer patients, a cardiovascular disease (CVD) is a prevalent occurrence. When a patient has both heart disease and cancer, the treatment can be complicated because treatment for one condition can have an adverse effect on the outcome of the other. A cardiovascular disease that involves heart failures, coronary artery disease (CAD), stroke, pericardial diseases, arrhythmias, and valve and vascular dysfunction is a serious worry for long-term cancer patients. Because preclinical research is limited, it is critical to comprehend the pathophysiology of CVD as a consequence of anticancerous therapies while taking into account the developing and expanding heart. As a result, in this research, we look at the epidemiological characteristics of cancer patients who also have cardiovascular illness. Low-dose chest computed tomography, cardiac CT, and cardiac magnetic resonance imaging (MRI) are used to acquire the data and perform the screening. Chemotherapeutic drugs such as anthracyclines and trastuzumab are used to treat the condition. Univariate analysis is used to examine risk factors and predict cardiovascular damage. Sensitivity, specificity, positive predictive value, negative predictive value, life expectancy, left ventricular ejection fraction (LVEF), and longitudinal strain are among the metrics examined.
Comparative Analysis of Strength Calculation for Railway’s Flat Car Body Using Fuzzy Logic and Evolutionary Algorithms
Authors: Yang Zhongliang
Published: August 2022

This article makes an in-depth analysis of different body strength calculation methods using fuzzy logic and evolutionary algorithm by taking the universal flat car body strength calculation as an example. For this study, a more scientific and reliable theoretical basis for the structural strength design and analysis of railway flat car surveying and mapping is considered. If the expansion and contraction of the jack are not synchronised while jacking the vehicle body with a jack when the vehicle is freshly manufactured and maintained, the vehicle body will be in a three-point support state. The 3-point support state will result in permanent deformation if a structure with low torsional stiffness is used. If the structure characterized by small torsional stiffness is adopted, the 3-point support state will produce permanent deformation. The safety factor specified in EN12663 is only 1.15, which shows that the Interim Provisions have the highest requirements for the design of vehicle body strength and the corresponding design cost. From the fatigue strength analysis, it can be seen that the difference between the maximum principal stress and the corresponding allowable stress at the node level with the maximum von Mises stress is high, which is not the dangerous position of the structure. The research shows that there are great differences in the provisions of jacking load in various specifications.
Clinical Efficacy of Glucosamine plus Sodium Hyaluronate for Osteoporosis Complicated by Knee Osteoarthritis and Its Influence on Joint Function and Bone Metabolic Markers
Authors: Yang Jing-Jin , Zhang Xiu-Mei
Published: August 2022

Background. Osteoporosis (OP) associated with knee osteoarthritis (KOA) is common in older men and postmenopausal women, and it is important to find reliable and effective treatments for this disease to improve joint function and bone metabolism in this population. Objective. To clarify the clinical efficacy of glucosamine (GlcN) plus sodium hyaluronate (SH) for OP complicated by KOA (OP + KOA) and its influence on joint function and bone metabolic markers (BMMs). Methods. Admitted from July 2019 to July 2021, 126 patients with OP + KOA were selected, including 76 cases (observation group) treated with GlcN plus SH and 50 cases (control group) given GlcN alone. The pain, joint function, BMMs, and clinical efficacy were evaluated and compared. Pain and joint function assessments employed the Visual Analogue Scale (VAS) and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) plus Lysholm Knee Scoring Scale, respectively. BMMs mainly measured bone gla protein (BGP), serum tartrate-resistant acid phosphatase variant (TRACP)-5b, type I collagen cross-linked C-telopeptide (CTX-1), and bone-specific alkaline phosphatase (BALP). Results. Higher posttreatment VAS scores were determined in observation group as compared to control group; observation group showed lower WOMAC scores of joint function and higher Lysholm scores than control group; in terms of BMMs, TRACP-5b and CTX-1 were lower while BGP and BALP were higher in observation group; the curative effect was also higher in observation group. All the above differences were statistically significant. Conclusions. GlcN plus SH has definite clinical efficacy in the treatment of OP + KOA, which can not only significantly improve patients’ joint function and bone metabolism but also relieve pain, with high clinical popularization value.
Preparation of Sheepskin Unhairing Extracts from Locally Available Plants: Cleaner Leather Processing
Authors: Teshome Zerihun , Ahmed Fitsum Etefa , Tesfaye Tamrat , Getachew Lioul , Wodag Awoke Fenta , Bitew Misganaw
Published: August 2022

Leather is made from animal hides and skins that have passed through several stages of processing, from soaking to finishing. Unhairing is a crucial processing stage in which hair is removed from the animal hide or skin through open up the hair and it facilitates subsequent operations. The conventional sodium sulfide-based unhairing process generates a high volume of effluent, which accounts for 50 to 70% of the total biochemical oxygen demand (BOD) and chemical oxygen demand (COD) load in the tanneries’ effluent. This study aimed to investigate the potential of unhairing agents prepared from locally available plants. The research employed qualitative methods. Plant materials are collected, dried, and ground. In different proportions, unhairing extracts were obtained from Phytolacca dodecandra leaves, Cucurbita foetidissima fruits, and Solanum incanum fruits. In the conventional soaking process, plant extracts were applied in various concentrations to sheepskin. The physical parameters of conventionally processed (control) and experimentally treated leather were examined using FTIR, SEM, tear strength, percentage of elongation, and organoleptic tests. The unhairing solution was prepared from a mixture of 0.5% S. incanum extract, 0.5% P. dodecandra extract, 0.6% C. foetidissima extract, and 260 g/L lime powder lime, and this solution effectively removed the hair from the sheepskin in both hairs saving and hair burning unhairing process. The study revealed that the sheepskin treated with the plant extracts based on an unhairing agent and the conventional unhairing agent showed a comparable tensile strength (42.3 kg/cm and 45.2 kg/cm), tear strength (140.1 kg/cm2 and 143.5 kg/cm2), and percent elongation at break (40.2 and 42.3), respectively, which were above the permissible limit for leather production making. According to the study findings, the plant extracts have a good potential for removing hair from sheepskin, and they are eco-friendly and cost-effective compared to unhairing chemicals such as sodium sulfide.
Computational Insights of Bioconvective Third Grade Nanofluid Flow past a Riga Plate with Triple Stratification and Swimming Microorganisms
Authors: Kayikci Safak
Published: August 2022

The goal of this study is to examine the heat‐mass effects of a third grade nanofluid flow through a triply stratified medium containing nanoparticles and gyrostatic microorganisms swimming in the flow. The heat and mass fluxes are considered as a non‐Fourier model. The governing models are constructed as a partial differential system. Using correct transformations, these systems are converted to an ordinary differential model. Ordinary systems are solved using convergent series solutions. The effects of physical parameters for fluid velocity, fluid temperature, nanoparticle volume percentage, motile microbe density, skin friction coefficients, local Nusselt number, and local Sherwood number are all illustrated in detail. When the values of the bioconvection Lewis number increase, the entropy rate also rises. The porosity parameter and modified Hartmann number show the opposite behaviour in the velocity profile.
Preaxial Polydactyly in an Elderly Woman
Authors: Chhabra Barkha , Charls Richy , Faillace John J.
Published: August 2022

A 70-year-old woman born and raised in India presented with Wassel type IV preaxial polydactyly of the right thumb and difficulty performing daily activities. She elected for surgical reconstruction after postponing the procedure for many years due to cultural norms. Her postoperative course was unremarkable. At her 3-month follow-up, she was diagnosed with carpal tunnel syndrome and underwent open carpal tunnel release. Preaxial polydactyly repair is unusual in patients older than 25 years. Though the duplication is considered lucky in South Asia, indications for this case were arthritic pain, cosmesis, and function. This case report details a unique indication for polydactyly reconstruction, arthritic pain, which may benefit hand surgeons when discussing the literature on adult polydactyly with their patients.
A Big Data Security Architecture Based on Blockchain and Trusted Data Cloud Center
Authors: Qin Peng , Li Wei , Ding Ke
Published: August 2022

In view of the shortcomings of big data security and privacy protection in cloud environment, a big data security architecture was proposed in this paper. Based on blockchain technology and trusted data cloud center, data security architecture adopts the ideas of trusted authentication, intrusion detection, data segmentation, and decentralized storage and applies Amazon AWS log processing service, PairHand user authentication protocol, and Hadoop data analysis framework to realize dig data security and privacy protection in the cloud environment. This paper realizes system initialization and user authentication, hierarchical data storage, decentralized storage, and user security access. The experimental results show that the system architecture can ensure data security and data access speed, which can provide necessary reference for cloud security.
Health State Assessment of Industrial Equipment Driven by the Fusion of Digital Twin Model and Intelligent Algorithm
Authors: Wang Shuai , Wang Yabin , Liu Xiaoyu , Wang Jinguo , Wang Zhuo
Published: August 2022

Equipment health state assessment is of great significance to improve the efficiency of industrial equipment maintenance support and realize accurate support. Using the method driven by the fusion of digital twin model and intelligent algorithm can make the equipment health state assessment more suitable for the “accuracy” requirement of equipment support. Taking the neural network algorithm as an example, this paper studies the method of unit level health state assessment of equipment driven by the fusion of digital twin model and intelligent algorithm. The principle and opportunity of equipment health state assessment based on digital twin model are analyzed, the equipment health state grade is redefined from the data-driven perspective, the selection principles of assessment parameters are established, and the unit level health state assessment model of equipment based on digital twin model and neural network algorithm is established. The proposed method is implemented by programming with Python, and the effectiveness of the method is verified by a case study. It provides support for further research of equipment-level health state assessment and the decision-making of equipment maintenance and provides reference for the study of the combination of digital twin model and other intelligent algorithms for health state assessment.
Platform Logic: Understanding the Influence of AI on Information Dissemination Mechanisms of Chinese New Media Platforms
Authors: Chen Xifeng , Wu Han
Published: August 2022

The development of technologies in the field of artificial intelligence is redefining the modes of information dissemination. However, it is hard to understand its influence from the perspective of the platform alone. Based on “platform logic” defined by José van Dijck, this article analyzes information dissemination from perspectives of underlayer platform, mid-layer monitoring, and upper-layer application and explores the influence of artificial intelligence and the changes in the patterns of information dissemination of Chinese new media platforms. In this paper, CiteSpace software is used to analyze the literature on artificial intelligence information dissemination on CNKI and the development trend of artificial intelligence information dissemination is summarized and discussed.
A Study of Ethics on Intelligent Nonlinear Prediction Creative Design
Authors: Wang Zuyao , Zhang Yuhong
Published: August 2022

In order to build a safe, credible, responsible, and sustainable intelligent nonlinear prediction creative design system, this paper explores the process of intelligent creative design through four stages of user research, concept ideation, design generation, and design evaluation, then discusses the potential ethical issues in three fields of data perception, experiential computing, and intelligent production in the process of intelligent creative design; and then analyzes the ethical dilemmas that intelligent creative design systems may face. It can establish a necessary theoretical foundation for the upcoming vigorous development of intelligent creative design and set up the situation to rethink design values in the age of artificial intelligence.
Application of Rhino Modeling Software in Product Fading Surface Modeling Design from the Perspective of Computer
Authors: Zhang Jiahui
Published: August 2022

In order to improve the effectiveness of product fading surface modeling design, this paper puts forward an application research of rhino modeling software in product fading surface modeling design from the perspective of computer. First, this paper studies the optimization design of product fading surface modeling, establishes the visual image information processing model of product fading surface modeling design, carries out product fading surface modeling design according to the information fusion results, and puts forward the product fading surface modeling design method based on visual expression and surface fusion. Based on rhino modeling software, the visual communication design of product fading surface modeling design is carried out, the visual optimization control model of product fading surface modeling is established, and the optimization design of product fading surface modeling is realized by combining the block fusion matching method. The simulation experiment of product fading surface modeling design is carried out in rhino modeling software. Therefore, this method has good effect, strong visual communication ability, and short time cost.
Clinical Analysis of Echocardiography and Serum IL-6 and TNF-α Changes in Pregnant Women with Hypertension
Authors: Liu Ying , Hou Xiaolin , Yu Mei , Zhou Jin
Published: August 2022

In order to explore the changes and clinical significance of serum TNF-α and IL-6 and ET levels in the pathogenesis of hypertensive disorders of pregnancy (HDIP), echocardiography, and serum IL-6 and TNF-α changes in pregnant women with a hypertensive disorder, a clinical analysis method was proposed. A retrospective analysis of 59 pregnant women who visited the obstetrics department of a provincial hospital was divided into 2 groups. The normal control group consisted of 32 normal, uncomplicated pregnant women; the preeclampsia group included 27 patients with systolic blood

pressure
>
140
 
mmHg

and/or diastolic blood

pressure
>
90
 
mmHg

who developed proteinuria after 20 weeks of gestation. The levels of TNF-α and IL-6 in serum of normal pregnant women and pregnant women with preeclampsia were detected by enzyme-linked immunosorbent assay (ELISA). The results showed that compared with normal pregnant women, the serum levels of TNF-α and IL-6 in the early pregnant women of Zizhi were significantly increased, and the trend of increased TNF-α and IL-6 levels was related to the severity of complications. With the mean pulmonary artery

pressure
>
50
 
mmHg

, the serum TNF-α level of pregnant women was significantly higher than that of pregnant women with mean pulmonary artery

pressure
<
50
 
mmHg

. The analysis found that the serum levels of TNF-α and IL-6 in patients with hypoxic gestational hypertension were significantly increased, and the results of lung tissue immunohistochemistry also showed that serum TNF-α and IL-6 levels in patients with hypoxic gestational hypertension were significantly increased. And serum TNF-α and IL-6 levels were positively correlated with right ventricular systolic blood pressure (RVSP). Conclusion. This study revealed that the elevated levels of serum TNF-α and IL-6 are closely related to the pathophysiological process of gestational hypertension. Serum levels of TNF-α and IL-6 and ET were significantly increased, and the changes of serum TNF-α and IL-6 and ET levels had important clinical value for closely monitoring the severity of the disease and the development of the disease.
Validation of a Research Instrument to Measure Generation Y Parents’ Perception of Service Quality and Effect on Satisfaction and Word of Mouth in International Schools
Authors: Stribbell Howard , Duangekanong Somsit
Published: August 2022

This quantitative research aimed to (1) validate an adapted instrument used for measuring service quality in private hospitals to measure the perceived service quality of K-12 international schools and (2) implement the instrument to assess service quality’s impact on word of mouth and satisfaction. It was necessary to contextualize the scale items through item objective congruence test using industry experts. Scale items were adjusted to reflect the service provided by teachers, staff, and leadership of the school. The resulting 27 scale items for service quality were shown to be contextually valid and internally reliable. The instrument was then implemented to measure parental service quality’s effect satisfaction and word of mouth. The survey was piloted by 33 parents and verified for internal consistency before being administered to 422 Generation Y parents. The results showed that the modified instrument was reliable and valid. The results showed that service quality had a direct and positive effect on both satisfaction and word of mouth but it had a greater effect on satisfaction.
Design and Application of English Online Learning Platform
Authors: Pu Chunfang
Published: August 2022

In order to solve the problems of the existing English online learning platforms, such as the single way of providing learning content and the unclear learning purpose, this article proposes to build a cloud computing online learning platform based on data correlation mining label distribution learning algorithm. With the help of distributed computing and virtualization technology, the software and hardware resource virtualization resource pool is integrated to build an open online learning system, which can change the defects of traditional English online learning system to the maximum extent. At the level of 10000 iterations, the average number of system requests is 2.17/s. The system runs steadily and can meet the English learning needs of student users; it can be popularized and applied in English teaching practice.
Bacterial Isolates and Antibacterial Resistance Patterns in a Patient with Acute Exacerbation of Chronic Obstructive Pulmonary Disease in a Tertiary Teaching Hospital, Southwest Ethiopia
Authors: Mussema Abdulhakim , Beyene Getenet , Gashaw Mulatu
Published: August 2022

Introduction. Chronic obstructive pulmonary disease (COPD) is a major cause of chronic morbidity and mortality worldwide. The natural course of COPD is characterized by acute exacerbation. Infectious agents, particularly bacteria, cause exacerbation of COPD in the majority. This study aimed to determine the bacteriology and antibiotic resistance patterns among patients with acute exacerbations of COPD (AECOPD) at Jimma Medical Center. Methods. A cross-sectional study was conducted from March to October 2019. Demographic, clinical, and sputa samples were collected from 39 study participants, who were diagnosed with AECOPD. Bacterial pathogens were identified using standard bacteriological techniques, and anti-microbial susceptibility testing was done by Kirby Bauer’s disk diffusion method. Extended-spectrum β-lactamase (ESβL) and carbapenemase production were confirmed by MASTTM D68C and MASTTM D73C combination disc sets, respectively. Chi-square and odds ratios were calculated. Results. Overall, 69.2% (27/39) of sputum samples were confirmed to be culture-positive. A total of 32 bacterial isolates with 78.1% (25/32) Gram-negative and 21.9% (7/32) Gram-positive bacteria were identified. The predominant bacterial isolates were Pseudomonas aeruginosa 21.9% (7/32), Klebsiella pneumoniae 18.75% (6/32), and Staphylococcus aureus 15.62% (7/32). Overall, 30 (93.8%) of the isolates were multidrug-resistant (MDR). About 48% (12/25) and 8 (32%)of gram negative bacterial isolates were ESBL betalatemase and OXA-48 carbapenemase producers, respectively. Having two or more exacerbation experiences in the previous year were found to be important determinants of the sputum culture positivity. Conclusions. High rates of MDR, ESBL, and carbapenemase producer bacteria were isolated from patients with AECOPD. Empiric antibiotic therapy should consider the prevalence of antibiotic-resistant pathogens and the factor that may increase the occurrence of MDR bacterial pathogens.
An Empirical Research on the Impact of Passenger Consumption Characteristics on the Supporting Commercial Facilities of Rail Transit Integrated Transfer Hubs: Taking Beijing and Tianjin as an Example
Authors: Lu Yuan , Shao Jinyan , Ren Xue , Zhou Lin
Published: August 2022

With the rapid development of urban rail transit in various parts of China, the supply and demand contradiction between the commercial development level of rail transit integrated transfer hubs and passenger demand has become increasingly obvious, and it is of great significance to clarify the consumption characteristics and influencing factors of passengers from the rail transit integrated transfer hubs to solve the contradiction between supply and demand. In this paper, passengers of major rail transit integrated transfer hubs in Beijing and Tianjin are selected as samples, and combined with questionnaire survey and data statistics, the consumption characteristics of passengers at hub stations are quantitatively analyzed, and the influence mechanism of passengers' basic attributes and travel behavior on their consumption characteristics is studied. Through data processing, correlation analysis, regression analysis, and other analysis methods, five key factors affecting passenger consumption and the corresponding influence mechanism are obtained, respectively, and the regression model of five consumption characteristics is obtained, which lays a foundation for the optimization and improvement of the commercial layout of the integrated transfer hub of rail transit in the future.
Coleções colaborativas: um espaço de dois universos
Authors: Nicolau Netto Michel , Ábile Bárbara Venturini
Published: August 2022

Neste artigo estudamos a produção de fronteiras simbólicas e sociais valendo-nos das coleções de roupas realizadas entre marcas de luxo e de fast fashion. Elas são divulgadas como democratização do luxo, já que supostamente facilitam o acesso a esses tipos de bens. Nossa análise sobre as colaborações entre a fast fashion Riachuelo e as marcas de luxo Versace e Karl Lagerfeld mostra, contudo, que essas colaborações não embaralham esses universos e seus consumidores. Identificamos uma unificação simbólica do mercado de luxo, a consequente expansão transclasse do reconhecimento de elementos estabelecidos como distintivos e o estabelecimento de hierarquias que mantêm as fronteiras sociais entre as  classes.
“Tuve la mala suerte de comer en el Ritz": a autobiografia de Victoria Ocampo e a composição do habitus de elite em Buenos Aires em princípios do século XX
Authors: Tedesco Alexandra Dias Ferraz
Published: August 2022

Este artigo revisa a trajetória intelectual de Victoria Ocampo à luz das reflexões de uma história intelectual sociologicamente orientada. Essa abordagem atenta ao papel de Ocampo como testemunha da constituição de um habitus cultivado, central para a composição do campo intelectual argentino. Proponho que três aspectos da autobiografia de Ocampo – o  uso culto de línguas não maternas, a espacialidade urbana de sua criação e seu epistolário – elucidam dispositivos de consagração das atitudes  intelectuais que estão na base da autoimagem da elite argentina do início do século xx e servem como paradigma para uma reflexão sobre a pertinência interdisciplinar do testemunho enquanto observatório de  práticas sociais condensadas nos dispositivos de distinção cultural.
Interview with Johannes Hjellbrekke
Authors: Nicolau Netto Michel , Bertoncelo Edison , Ribeiro Fabio
Published: August 2022

Interview with Johannes Hjellbrekke
José de Anchieta e o ofício de assistência à saúde em São Vicente e em Piratininga (1554 - 1565)
Authors: Pereira Edson
Published: August 2022

Em 1553, o padre Manuel da Nobrega desembarcou em São Vicente vindo da Bahia e logo demandou reforços para poder prosseguir com a missão. Dentre os religiosos enviados estava o jovem José de Anchieta então notório pelo conhecimento da língua latina. Ao lado da obra de orientação espiritual do povo, mais apropriada a própria formação, a situação incipiente da sociedade vicentina exigiu que Anchieta servisse ocasionalmente de cirurgião curando os doentes. Sabemos disso através da correspondência remetida pelo inaciano entre os anos 1554-1565. Neste interim, Anchieta narra seguidas epidemias, o adoecimento de membros da Companhia de Jesus, os males físicos de índios e de portugueses, os remédios administrados e as razões que embasaram a escolha terapêutica. Tendo este contexto em mente, no qual Anchieta dividiu seu tempo de missionário entre a salvação da alma e do corpo das gentes, o presente artigo visa entender a estreita relação estabelecida entre assistência à saúde e propagação da fé.
Bypass of Primary Stroke Centers Compared With Secondary Transfer for Endovascular Thrombectomy
Authors: Hong Jae Beom , Diprose William K. , Wang Michael T. M. , Meyer Juliette , Kilfoyle Dean , Brew Stefan , Barber Peter Alan
Published: August 2022

Background

Our stroke network operates a hybrid organizational structure, with patients with potential large‐vessel occlusion taken to the local primary stroke center (PSC) during office hours, and directly bypassed to the endovascular thrombectomy–capable stroke center (EVT‐SC) after hours. We aimed to compare the 2 methods of transfer.

Methods

Consecutive patients with anterior large‐vessel occlusion treated with EVT between August 2017 and February 2021 were identified. Patients who had EVT puncture within 6 hours of last known normal were included for analysis. Patients were grouped into method of presentation: direct bypass to EVT‐SC (“EVT‐SC direct”) or taken to local PSC with secondary transfer to EVT‐SC (“PSC‐transfer”). The primary outcome was 3‐month functional independence (modified Rankin scale score 0–2). Secondary outcomes included mortality at 7 days and at 3 months.

Results

A total of 259 patients (109 women; mean±SD age, 66.8±15.2 years) were included; there were 91 (35.1%) EVT‐SC direct and 168 (64.9%) PSC‐transfer patients. The EVT‐SC direct patients had shorter median times from last known normal to thrombolysis (120 versus 147 minutes;
P
=0.004) and puncture (190 versus 230 minutes;
P
<0.001). Multivariable logistic regression analysis found that EVT‐SC direct patients had greater 3‐month functional independence (odds ratio [OR], 2.04 [95% CI, 1.12–3.73];
P
=0.02) and lower 3‐month mortality (OR, 0.33 [95% CI, 0.12–0.91];
P
=0.03). For every 100 patients directly bypassed to EVT‐SC, there were 14 more patients functionally independent and 9 fewer who had died, at 3 months.

Conclusions

In this comparison of 2 organizational paradigms in patients with a PSC as the closest stroke center, direct bypass to EVT‐SC resulted in significantly better process times and clinical outcomes compared with secondary transfers from PSCs.
Data Access, Control, and Privacy Protection in the VODAN-Africa Architecture
Authors: Purnama Jati Putu Hadi , van Reisen Mirjam , Flikkenschild Erik , Oladipo Fransisca , Meerman Bert , Plug Ruduan , Nodehi Sara
Published: August 2022

The Virus Outbreak Data Network (VODAN)-Africa aims to contribute to the publication of Findable Accessible, Interoperable, and Reusable (FAIR) health data under well-defined access conditions. The next step in the VODAN-Africa architecture is to locally deploy the Center for Expanded Data Annotation and Retrieval (CEDAR) and arrange accessibility based on the ‘data visiting’ concept. Locally curated and reposited machine-actionable data can be visited by queries or algorithms, provided that the conditions of access are met. The goal is to enable the multiple (re)use of data with secure access functionality by clinicians (patient care), an idea aligned with the FAIR-based Personal Health Train (PHT) concept. The privacy and security requirements in relation to the FAIR Data Host and the FAIRification workspace (to produce metadata) or dashboard (for the patient) must be clear to design the IT architecture. This article describes a (first) practice, a reference implementation in development, within the VODAN-Africa and Leiden University Medical Center community.