bluuebunny/crossref_metadata_2025 huggingface dataset:
The Proteome of Extracellular Vesicles Produced by the Human Gut Bacteria Bacteroides thetaiotaomicron
In Vivo
Is Influenced by Environmental and Host-Derived Factors
Authors: Stentz Régis , Jones Emily , Juodeikis Rokas , Wegmann Udo , Guirro Maria , Goldson Andrew J. , Brion Arlaine , Booth Catherine , Sudhakar Padhmanand , Brown Ian R. , Korcsmáros Tamás , Carding Simon R.
Published: August 2022

The gastrointestinal tract (GIT) harbors a complex community of microbes termed the microbiota that plays a role in maintaining the host’s health and wellbeing. How this comes about and the nature of microbe-host cell interactions in the GIT is still unclear.
A Bispecific Antibody Targeting RBD and S2 Potently Neutralizes SARS-CoV-2 Omicron and Other Variants of Concern
Authors: Yuan Mengqi , Chen Xiangyu , Zhu Yanzhi , Dong Xiaoqing , Liu Yan , Qian Zhaohui , Ye Lilin , Liu Pinghuang
Published: August 2022

The new, highly contagious SARS-CoV-2 Omicron variant caused substantial breakthrough infections and has become the dominant strain in countries across the world. Omicron variants usually bear high mutations in the spike protein and exhibit considerable escape of most potent neutralization monoclonal antibodies and reduced efficacy of current COVID-19 vaccines.
Differential Recognition of Computationally Optimized H3 Hemagglutinin Influenza Vaccine Candidates by Human Antibodies
Authors: Abbadi Nada , Nagashima Kaito , Pena-Briseno Alma , Ross Ted M. , Mousa Jarrod J.
Published: August 2022

Vaccine development for circulating influenza viruses, particularly for the H3N2 subtype, remains challenging due to consistent antigenic drift. Computationally optimized broadly reactive antigen (COBRA) technology has proven effective for broadening influenza hemagglutinin (HA)-elicited antibody responses compared to wild-type immunogens.
Porcine Deltacoronavirus Infection Cleaves HDAC2 to Attenuate Its Antiviral Activity
Authors: Li Zhuang , Fang Puxian , Duan Panpan , Chen Jiyao , Fang Liurong , Xiao Shaobo
Published: August 2022

As an emerging porcine enteropathogenic coronavirus that possesses the potential to infect humans, porcine deltacoronavirus (PDCoV) is receiving increasing attention. In this work, we found that PDCoV infection downregulated cellular histone deacetylase (HDAC) activity.
Simultaneous fall and flow during pyroclastic eruptions: A novel proximal hybrid facies
Authors: Dowey Natasha , Williams Rebecca
Published: August 2022

The deposits of Plinian and subplinian eruptions provide critical insights into past volcanic events and inform numerical models that aim to mitigate against future hazards. However, pyroclastic deposits are often considered from either a fallout or pyroclastic density current (PDC) perspective, with little attention given to facies exhibiting characteristics of both processes. Such hybrid units may be created where fallout and PDCs act simultaneously, where a transitional phase between the two occurs, and/or due to reworking. This study presents analysis of a novel hybrid pyroclastic lithofacies found on Tenerife (Canary Islands) and Pantelleria (Italy). The coarse pumice block facies has an openwork texture and correlates with distal Plinian units, but it is cross-stratified and relatively poorly sorted with an erosional base. The facies is proposed to record the simultaneous interaction of very proximal fallout and turbulent PDCs, and it reveals a fuller spectrum of hybrid deposition than previously reported. This work highlights the importance of recognizing hybrid deposition both in the rock record and in hazard modeling.
Ultracold neutron storage in a bottle coated with the fluoropolymer CYTOP
Authors: Neulinger Thomas , Beck Douglas , Connolly Euan , Degenkolb Skyler , Fierlinger Peter , Filter Hanno , Hingerl Jürgen , Nordin Pontus , Saerbeck Thomas , Zimmer Oliver
Published: July 2022

The fluoropolymer CYTOP was investigated in order to evaluate its suitability as a coating material for ultracold neutron (UCN) storage vessels. Using neutron reflectometry on CYTOP-coated silicon wafers, its neutron optical potential was measured to be 115.2(2) neV. UCN storage measurements were carried out in a 3.8 l CYTOP-coated aluminum bottle, in which the storage time constant was found to increase from 311(9) s at room temperature to 564(7) s slightly above 10 K. By combining experimental storage data with simulations of the UCN source, the neutron loss factor of CYTOP is estimated to decrease from 1.1(1)$$\times 10^{-4}$$×10-4to 2.7(2)$$\times 10^{-5}$$×10-5at these temperatures, respectively. These results are of particular importance to the next-generation superthermal UCN source SuperSUN, currently under construction at the Institut Laue-Langevin, for which CYTOP is a possible top-surface coating in the UCN production volume.
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey
Authors: Wan Mingyang , Zha Daochen , Liu Ninghao , Zou Na
Published: July 2022

Machine learning models are becoming pervasive in high-stakes applications. Despite their clear benefits in terms of performance, the models could show discrimination against minority groups and result in fairness issues in a decision-making process, leading to severe negative impacts on the individuals and the society. In recent years, various techniques have been developed to mitigate the unfairness for machine learning models. Among them, in-processing methods have drawn increasing attention from the community, where fairness is directly taken into consideration during model design to induce intrinsically fair models and fundamentally mitigate fairness issues in outputs and representations. In this survey, we review the current progress of in-processing fairness mitigation techniques. Based on where the fairness is achieved in the model, we categorize them into explicit and implicit methods, where the former directly incorporates fairness metrics in training objectives, and the latter focuses on refining latent representation learning. Finally, we conclude the survey with a discussion of the research challenges in this community to motivate future exploration.
DNformer: Temporal Link Prediction with Transfer Learning in Dynamic Networks
Authors: Jiang Xin , Yu Zhengxin , Hai Chao , Liu Hongbo , Wu Xindong , Ward Tomas
Published: August 2022

Temporal link prediction (TLP) is among the most important graph learning tasks, capable of predicting dynamic, time-varying links within networks. The key problem of TLP is how to explore potential link-evolving tendency from the increasing number of links over time. There exist three major challenges toward solving this problem: temporal nonlinear sparsity, weak serial correlation, and discontinuous structural dynamics. In this article, we propose a novel transfer learning model, called DNformer, to predict temporal link sequence in dynamic networks. The structural dynamic evolution is sequenced into consecutive links one by one over time to inhibit temporal nonlinear sparsity. The self-attention of the model is used to capture the serial correlation between the input and output link sequences. Moreover, our structural encoding is designed to obtain changing structures from the consecutive links and to learn the mapping between link sequences. This structural encoding consists of two parts: the node clustering encoding of each link and the link similarity encoding between links. These encodings enable the model to perceive the importance and correlation of links. Furthermore, we introduce a measurement of structural similarity in the loss function for the structural differences of link sequences. The experimental results demonstrate that our model outperforms other state-of-the-art TLP methods such as Transformer, TGAT, and EvolveGCN. It achieves the three highest AUC and four highest precision scores in five different representative dynamic networks problems.
DSME-LoRa: Seamless Long-range Communication between Arbitrary Nodes in the Constrained IoT
Authors: Álamos José , Kietzmann Peter , Schmidt Thomas C. , Wählisch Matthias
Published: July 2022

Long-range radio communication is preferred in many IoT deployments, as it avoids the complexity of multi-hop wireless networks. LoRa is a popular, energy-efficient wireless modulation but its networking substrate LoRaWAN introduces severe limitations to its users. In this article, we present and thoroughly analyze DSME-LoRa, a system design of LoRa with IEEE 802.15.4 Deterministic Synchronous Multichannel Extension (DSME) as a MAC layer. DSME-LoRa offers the advantage of seamless client-to-client communication beyond the pure gateway-centric transmission of LoRaWAN. We evaluate its feasibility via a full-stack implementation on the popular RIOT operating system, assess its steady-state packet flows in an analytical stochastic Markov model, and quantify its scalability in massive communication scenarios using large-scale network simulations. Our findings indicate that DSME-LoRa is indeed a powerful approach that opens LoRa to standard network layers and outperforms LoRaWAN in many dimensions.
Anaerobic Degradation of Alkanes by Marine Archaea
Authors: Wegener Gunter , Laso-Pérez Rafael , Orphan Victoria J. , Boetius Antje
Published: August 2022

Alkanes are saturated apolar hydrocarbons that range from their simplest form, methane, to high-molecular-weight compounds. Although alkanes were once considered biologically recalcitrant under anaerobic conditions, microbiological investigations have now identified several microbial taxa that can anaerobically degrade alkanes. Here we review recent discoveries in the anaerobic oxidation of alkanes with a specific focus on archaea that use specific methyl coenzyme M reductases to activate their substrates. Our understanding of the diversity of uncultured alkane-oxidizing archaea has expanded through the use of environmental metagenomics and enrichment cultures of syntrophic methane-, ethane-, propane-, and butane-oxidizing marine archaea with sulfate-reducing bacteria. A recently cultured group of archaea directly couples long-chain alkane degradation with methane formation, expanding the range of substrates used for methanogenesis. This article summarizes the rapidly growing knowledge of the diversity, physiology, and habitat distribution of alkane-degrading archaea.
Opioid Sparing Analgesics in Spine Surgery
Authors: Reed Logan A. , Patel Mihir , Luque Kevin , Theiss Steven M.
Published: July 2022

Combinations of various nonopioid analgesics have been used to decrease pain and opioid consumption postoperatively allowing for faster recovery, improved patient satisfaction, and decreased morbidity. These opioid alternatives include acetaminophen, NSAIDs, COX-2 specific inhibitors, gabapentinoids, local anesthetics, dexamethasone, and ketamine. Each of these drugs presents its own advantages and disadvantages which can make it difficult to implement universally. In addition, ambiguous administration guidelines for these nonopioid analgesics lead to a difficult implementation of standardization protocols in spine surgery. A focus on the efficacy of different pain modalities specifically within spine surgery was implemented to assist with this standardized protocol endeavor and to educate surgeons on limiting opioid prescribing in the postoperative period. The purpose of this review article is to investigate the various opioid sparing medications that have been used to decrease morbidity in spine surgery and better assist surgeons in managing postoperative pain. Methods. A narrative review of published literature was conducted using the search function in Google scholar and PubMed was used to narrow down search criteria. The keywords “analgesics,” “spine,” and “pain” were used.
Car Driving Record System Based on Ferroelectric Memory Reading Function and SD Card Chip
Authors: Long Donghua
Published: July 2022

The advent of the new era has promoted the rapid rise of technology. It drives the rapid development of the well-off economy. The car sales rate has also skyrocketed, but due to the frequent occurrence of various traffic accidents, it has become a difficult problem for relevant personnel to find the cause of the accident and driving. The arrival of the recorder is able not only to record the problems of traffic accidents but also to monitor the drivers as a basis for judging traffic violations. Based on the investigation and research on the current car driving recorders on the market, all the driving recorders on the market have relatively simple system structures and functions, and the transmission of communication information is slow. The SD card emphasizes the security of data and can set the stored usage rights to prevent the data from being copied by others, and the transmission speed is fast. Based on the problems described above, the design of the system program of the car driving recorder based on the reading function of the ferroelectric memory and the combination of the small size and large storage capacity of the SD card chip is proposed, and the combination of GPS positioning is added, to improve the accuracy of the positioning function. In order to obtain a more practical car driving recorder, the experimental results show that when the distance of each observation location is less than 0.45 m, its average accuracy factor is also less than 0.45 m, which can meet the requirements of the system for accuracy performance, that is to say, it can be shown under the accuracy analysis. The research and design system has a certain degree of practicability, and the stability function is very good.
[Retracted] Analyzing the Relationship between Hotel Brand Image, Service Quality, Experience Marketing, and Customer Satisfaction under the Environment of Social Network
Authors: Xi Wen
Published: July 2022

Based on the development background of the social network environment, higher requirements are put forward for the development and transformation of hotels in the new era. As a representative industry in the service industry, the service quality and experience provided by the hotel can meet the feelings and needs of customers. According to the data of the hotel industry in previous years, it can be found that from 2015 to 2018, the average revenue of hotel rooms available for rent (RevPAR) decreased by 7.7%, 5.3%, and 7.7%, respectively; The occupancy rate dropped to the lowest point at the end of 2018 and then began to rise gradually. In addition, while the economy recovers, the tourism industry has driven the hotel industry. RevPAR has increased by—1.4% and 3.5% year‐on‐year, and the occupancy rate has increased by 3.6% and 2.0% year‐on‐year. In 2018, China’s star hotels generally showed an upward trend. This also shows the attraction of hotel brand logo to customers. By studying the factors such as brand image and service quality, we can establish the viscosity with customers. This paper explores the relationship between various elements and customers and puts forward effective suggestions in order to further improve the service level of the hotel.
[Retracted] Research on the Integrated Development of Local Art Design and Art Design Education in the New Media Environment
Authors: Wang Zhuo , Liu Bo
Published: July 2022

With the rapid development of the times, various industries have undergone earth‐shaking changes in the face of development trends. The education industry is also making progress in development. Art design and new media technology can be better presented to the public, and it is also convenient for designers. This paper investigates the local art design and art design education. (1) The new media art design and the traditional art design are compared, and the advantages and disadvantages are analyzed. Both have advantages and disadvantages, and they should learn from each other and improve the disadvantages. (2) Conducted an investigation and analysis on art and design education, and the analysis results showed the defects of today’s art and design education, and analyzed the methods of improving art and design education through the school’s investigation and applied it to art and design education. (3) Artists and designers are very important for local art. This paper analyzes the genealogical relationship of art designers and the composition of local art designers, taking Yunnan as an example.
Day Surgery Scheduling and Optimization in Large Public Hospitals in China: A Three-Station Job Shop Scheduling Problem
Authors: Bai Xue , Zhang Wei , Luo Li , Ma Hongsheng , Zhu Ting
Published: July 2022

Day surgery scheduling allocates hospital resources to day surgical cases and decides on the time to perform the surgeries in the day surgery center (DSC). Based on the day surgery service process of large public hospitals in China, we found that the service efficiency of the process depends on the utilization of hospital resources efficiently and could be optimized through day surgery scheduling. We described it as a flexible flow shop owing to the three-station nature of surgery. Allocating all types of hospital resources to the three stations and determining the length of time for each stage during surgery are crucial to improving the efficiency of DSC. This paper integrates a three-station job shop scheduling problem (JSSP) into the day surgery scheduling and optimization problem. The JSSP was formulated as a mixed-integer linear programming model, and the elicitation of the model for scheduling surgeries with different priorities in the DSC is discussed. The model illustrated a case study of the DSC within West China Hospital (WCH). Numerical experiments based on the genetic algorithm design were conducted. Compared to the other optimization strategies, we proposed that the three-station job shop scheduling strategy (TSJS) could not only improve the efficiency and reduce the waiting time of the patients of the DSC in large public hospitals in China but also allow for timely scheduling adjustments during the advent of emergency surgeries.
Curative Effect of Heat-sensitive Moxibustion on Primary Dysmenorrhea: A Meta-Analysis
Authors: Xu Ningning , Huang Yingjie , Huang Hai , Huang Yuxin , Lai Siran , Zhang Zhenyu , Zhong Yizheng
Published: July 2022

Background. Primary dysmenorrhea (PD) refers to functional dysmenorrhea, typically characterized by cyclical, pronounced lower abdominal pain and seriously affects a woman’s work and quality of life. Some studies have reported that heat-sensitive moxibustion (HSM) is expected to alleviate the clinical symptoms. This systematic review aimed to evaluate the current evidence regarding the efficacy and safety of HSM on PD. Methods. 7 databases including PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), Wan Fang Data Knowledge Service Platform (Wan Fang Data), and China Science and Technology Journal Database (VIP) were searched for clinical randomized controlled trials. Meanwhile, Revman 5.3 software was used to evaluate the methodological quality of the included literature. The confidence interval (CI) of either relative risk or mean difference was set to 95%. Besides, the heterogeneity of the research results is tested by I2. Results. 19 studies were ultimately included in this meta-analysis. All of them were declared as random controlled trials. 18 studies reported the total effective rate of the test group and the control group, which was significantly higher (RR: 0.92; 95% CI: 0.85,0.99;P=0.031<0.05) than the control group. It is demonstrated that the VAS score of the test group, totally 9 studies included, was significantly lower (SMD: −0.98; 95% CI: −1.15, −0.81;P<0.001). The meta-analysis of 6 studies showed the symptom score of the test group was significantly lower (SMD: −0.67; 95% CI: −0.87, −0.47;P<0.001). There were the CMSS results of 3 studies which were significantly lower (SMD: −0.88; 95% CI: −1.13, −0.62;P<0.001). Combined with the results of subgroup analysis, compared with the control group, the test group had advantages in the VAS score, symptom score, and CMSS score. Conclusions. The result has revealed the effectiveness and feasibility of HSM in treating PD, especially in improving the total effective rate and reducing the VAS score, symptom score, and CMSS score.
[Retracted] Study on the Mechanism of Action of STAT3 in the Drug Resistance of Gastric Cancer Cells
Authors: Di Ji , Jiang Bo , Shang Hao , Yang Xin , Zhang Chengwu , Shi Xiali , Chai Yan
Published: July 2022

Gastric cancer is the most common digestive tract malignancy in China and has a poor prognosis, with a 5‐year overall survival rate of only 35.1%. Because its early symptoms are not obvious and early diagnosis is complicated, there is an urgent need to find biological targets for diagnosis and treatment. This research detected the expression of STAT3 in gastric cancer tissues and adjacent tissues by Western blot and immunohistochemical experiments and conducted corresponding basic experiments to explore the role of STAT3 in inhibiting the proliferation of cisplatin‐resistant gastric cancer cells and promoting their apoptosis, including the construction of cisplatin‐resistant gastric cancer cell line, the knock‐out STAT3 in drug‐resistant gastric cancer cells by CRISPR‐Cas9, and the comparison of the proliferation and apoptosis of drug‐resistant cells and drug‐resistant cells STAT3(‐). The mechanism provides a possible intervention target for clinically improving the prognosis of patients with cisplatin‐resistant gastric cancer.
Application of MRI and CT Images in Surgical Treatment of Early Cervical Cancer
Authors: Lu An , Lu Guohua
Published: August 2022

In order to understand the problems of the application of MRI and CT images in the early cervical cancer surgery, a method that the application of MRI imaging and CT images in early cervical cancer surgery was proposed. For the cervical cancer in clinical practice, the applications of the modern imaging examination and the clinical staging classification were investigated and analyzed. Compared with the surgical pathology results, the application value of common modern imaging in clinical staging of cervical cancer was evaluated. It was found that the sensitivity of MRI and CT in diagnosing lymph node metastasis was 56% and 58%, and the specificity was 93% and 92%, respectively. The experiment proved the application value of MRI and CT in clinical staging of cervical cancer.
A Study of Heat Shock Protein 90 and Serum CCL21 Expression in Pregnant Women with Preeclampsia
Authors: Yang Weina , Yang Xuemei , Zhang Su’e , Zhang Limei , Wang Wenze , Wang Li
Published: August 2022

Objective. The purpose of the study was to determine the significance of heat shock protein 90 (HSP 90) and serum chemokine ligand 21 (CCL-21) in pregnant women with preeclampsia (PE). Methods. From June 2021 to June 2022, the study enrolled 100 women undergoing obstetric examinations and delivering in our hospital; 50 PE patients undergoing routine obstetric examinations and delivering during the same period were enrolled in the research group; according to the severity, they were divided into mild PE and severe PE groups, while 50 healthy pregnant women undergoing obstetric examinations and delivering in our hospital during the same period were enrolled in the control group. In a subsequent analysis, serum levels of CCL-21 and HSP90 were compared between the two groups, and the correlation among CCL-21, HSP 90, and PE severity was analyzed. Results. An overall total of 50 patients with PE were enrolled in the study, which included 32 patients with mild PE and 18 patients with severe PE. Patients with severe PE had lower mean arterial pressure (MAP), HSP 90, and CCL21 index levels than those with mild PE; MAP, HSP 90, and CCL21 in the severe PE group were higher than those in the mild PE group, but the difference was not statistically significant; In the research group, MAP was weakly correlated with HSP90 concentration and CCL21 concentration, with correlation coefficients of 0.33 and 0.30, respectively, and the correlation analysis was significant. Conclusion. Patients with PE showed significantly increased serum concentrations of HSP90 and CCL-21, but a significant difference did not exist between mild and severe PE. In addition, there was a weak relationship between HSP90 and CCL-21 concentrations in PE patients and MAP, suggesting that HSP90 and CCL-21 play an instrumental role in the pathogenesis of PE, although more studies are needed to clarify the exact mechanisms.
Application of Reverse Time Migration to Faults Imaging in Rakhine Basin, Myanmar
Authors: Jang Seonghyung , Lee Donghoon
Published: July 2022

The Rakhine Basin in the northeastern Bay of Bengal is an active field in hydrocarbon exploration and development. It contains fault structures and steeply sloping stratigraphic reservoirs, both primary features of interest for hydrocarbon exploration that needs to be accurately imaged to improve the interpretation of seismic data and facilitate the accurate identification of features of interest. Although faults are an indicator of possible hydrocarbon traps, they are difficult to identify in seismic images using traditional stack or prestack time migration due to the rather complex behaviors of wave propagation. On the other hand, prestack depth migration (PSDM) can significantly improve the accuracy of seismic images, especially of complex subsurface structures such as faults, folds, overthrusts, and salt domes. Among the various PSDM approaches, reverse time migration (RTM) has been shown to be the most powerful. Here, we show how PSDM-RTM can significantly improve the representation of fault structures and steeply dipping structures in seismic images from field data collected in Rakhine Basin, which is characterized by complex geology including stratigraphic and strati-structural traps as well as complex channel systems. Typically, these structures appear heavily blurred and are difficult to identify using normal stack and prestack time migration. We demonstrate that they become clearer and easier to detect with the PSDM–RTM approach, making this approach particularly suitable for seismic interpretations of geologically complex areas within the context of hydrocarbon prospecting.
Next-Generation Optimization Models and Algorithms in Cloud and Fog Computing Virtualization Security: The Present State and Future
Authors: Verma Rohit , Rane Dheeraj , Jha Ravi Shankar , Ibrahim Wubshet
Published: July 2022

Virtualization is becoming popular and is gaining widespread attention in recent years. However, with its popularity comes the challenge of securing the virtualized environment. Security measures for virtualized systems cannot always be applied in the same manner as in physical systems. Virtualized environments may have multiple virtual systems on the same physical machine, so different levels of security one needed. The hypervisor is the controlling program that provides the virtual systems’ effective isolation and security. In this article, we present a comprehensive review of the existing security ideas and architectures for virtualized environment and some of the open issues in virtualization security.
Analysis on Sealing Performance for a New Type of Rubber Olecranon‐Shaped Sealing Ring in Pipe Jacking Joint
Authors: Zhang Yi , Chen Zaiqian , Wu Duoxian , Yan Hao , He Qiao , Wang Lei
Published: July 2022

To address the easy damage of rubber sealing rings for pipe joints used in China’s first rock pipe jacking project, the launch of research concerning the optimization design of rubber ring structure was decided. However, modification based on the existing production mold was required, to prevent the construction period and cost from exceeding limits. Utilizing the optimization experience, the stress and waterproof property variations of rubber ring before and after optimization during the pipe translation and deflection were initially analyzed via the ADINA software. Meanwhile, the correct orientation of the ring optimization criteria was confirmed through the field test. Next, the effects of key structural parameters on the contact length and maximum contact pressure of rubber ring were quantified, thereby obtaining the sensitivity correlations between five key parameters of ring optimization to further establish the criteria for rubber ring optimization. The findings of this study offer safe construction suggestions for pipe jacking projects.
Identification of Pathologic Grading-Related Genes Associated with Kidney Renal Clear Cell Carcinoma
Authors: Xiong Weijian , Zhong Jin , Li Ying , Li Xunjia , Wu Lili , Zhang Ling
Published: July 2022

Background. Renal epithelium lesions can cause renal cell carcinoma. This kind of tumor is common among all renal cancers with poor prognosis, of which more than 70% belong to kidney renal clear cell carcinoma. As the pathogenesis of KIRC has not been elucidated, it is necessary to be further explored. Methods. The Genomic Spatial Event database was used to obtain the analysis dataset (GSE126964) based on the GEO database, and The Cancer Genome Atlas was applied for KIRC data collection. edgeR and limma analyses were subsequently conducted to identify differentially expressed genes. Based on the systems biology approach of WGCNA, potential biomarkers and therapeutic targets of this disease were screened after the establishment of a gene coexpression network. GO and KEGG enrichment used cluster Profiler, enrichplot, and ggplot2 in the R software package. Protein-protein interaction network diagrams were plotted for hub gene collection via the STRING platform and Cytoscape software. Hub genes associated with overall survival time of KIRC patients were ultimately identified using the Kaplan-Meier plotter. Results. There were 1863 DEGs identified in total and ten coexpressed gene modules discovered using a WGCNA method. GO and KEGG analysis findings revealed that the most enrichment pathways included Notch binding, cell migration, cell cycle, cell senescence, apoptosis, focal adhesions, and autophagosomes. Twenty-seven hub genes were identified, among which FLT1, HNRNPU, ATP6V0D2, ATP6V1A, and ATP6V1H were positively correlated with OS rates of KIRC patients (

p
<
0.05

). Conclusions. In conclusion, bioinformatic techniques can be useful tools for predicting the progression of KIRC. DEGs are present in both KIRC and normal kidney tissues, which can be considered the KIRC biomarkers.
Up-Regulation of RACGAP1 Promotes Progressions of Hepatocellular Carcinoma Regulated by GABPA via PI3K/AKT Pathway
Authors: Gu Yang , Chen Baiyang , Guo Deliang , Pan Leyu , Luo Xiaofeng , Tang Jie , Yang Weihua , Zhang Yuxian , Zhang Liangqiang , Huang Jingwen , Duan Rui , Wang Zhigang
Published: August 2022

Hepatocellular carcinoma (HCC) is one of the dominating tumors causing death due to lack of timely discovery and valid treatment. Abnormal increase of Rac GTPase activating protein 1 (RACGAP1) has been verified to be an oncogene in plenty tumors. The profound mechanism of RACGAP1 was rarely reported in HCC. In this study, we explored the function and mechanism of RACGAP1 in HCC through multiple analysis and experiments. RACGAP1 expression was up-regulated in HCC samples and the high expression of RACGAP1 was an independent prognostic risk factor for HCC patients. Meanwhile, RACGAP1 promoted developments of HCC both in vitro and in vivo. We verified that RACGAP1 promoted proliferation of HCC via PI3K/AKT/CDK2 and PI3K/AKT/GSK3β/Cyclin D1 signaling pathway. RACGAP1 accelerated the invasion and metastasis of HCC via phosphorylation of GSK3β and nuclear translocation of β-catenin. Furthermore, by luciferase reporter assay and Chromatin immunoprecipitation (ChIP) assay, we confirmed Recombinant GA Binding Protein Transcription Factor Alpha (GABPA) regulated the transcription of RACGAP1. All these findings revealed that RACGAP1 promotes the progression of HCC through a novel mechanism, which might be a new therapeutic target for HCC patients.
Deep Learning Algorithm in Biomedical Engineering in Intelligent Automatic Processing and Analysis of Sports Images
Authors: Bao Junxiao , Bei Cuilin , Zheng Xiang , Wang Jinli
Published: July 2022

In order to improve the detection and identification ability of sports injury ultrasound medicine, a segmentation method of sports injury ultrasound medical image based on local features is proposed, and the research on the sports injury ultrasound medical detection and identification ability is carried out. Methods of the sports injury ultrasound medical image segmentation model are established; the sports injury ultrasound medical image information is enhanced by using the sports skeletal muscle block matching technology; the image features are extracted; and the characteristics of sports injury ultrasound medical images are analyzed by CT bright spot feature transmission. In detail, combined with the deep convolutional neural network training method, the extracted sports injury points are automatically detected for sports injury ultrasound medical images, and the sports injury ultrasound medical image segmentation is realized. The simulation results show that this method has high accuracy for sports injury ultrasound medical image segmentation, the error value can be controlled below 0.103, and finally, the effect of zero error is achieved. It is confirmed that the method proposed in this paper has high resolution and accuracy for sports injury point detection and has strong practical application ability.
Prediction of Economic Operation Index Based on Support Vector Machine
Authors: Zhang Zheming
Published: August 2022

Economic forecasting is not only an important field of economic research but also attracts extensive public attention. The results of the study are directly related to the accurate understanding and view of the economic situation, which in turn affects the rational formulation of macroeconomic policies. However, traditional estimation methods are often limited by expert experience and simple mathematical models, which are difficult to deal with on nonlinear models and do not meet the objective requirements for predicting macroeconomic performance indicators. Support vector machine is a popular new data mining technique. Benefiting from its good theoretical foundation and good generalization performance, SVM has become the starting point of research in recent years. Combining support vector machine research, fuzzy theory, and macroeconomic performance estimation, it attempts to develop a method for predicting macroeconomic function indicators based on support vector machines and expand the theory and projects of support vector machines. In addition, empirical evaluations of early financial forecasts are conducted to integrate theoretical and practical data. The characteristics of the traditional evaluation system are discussed in detail, and the standard model of the prediction system is established, including classical and modern forecasting theories and their forecasting systems. The theory of statistical learning and the theory and basic features of support vector machines are also discussed. For the analysis of the internal relationship between the distribution pattern, SVM, and the forecast of macroeconomic performance indicators, predictable economic activity forecast can be considered as a distribution system. Combining SVM with economic forecasting, SWE intelligent economic operation index forecasting is used for the first time, the automatic selection of symbolic parameters is recognized, and some algorithms and in-depth analysis methods are provided. The experimental results show that the prediction of economic operation indicators based on support vector machine technology is 57% faster than the traditional prediction method and the prediction accuracy rate is as high as 98.56%.
Comparison of Inflammatory Cytokine Levels between Single‐Port and Three‐Port Thoracoscopic Lobectomy in the Treatment of Non‐Small‐Cell Lung Cancer
Authors: Liang Song , Yin Xiao , Fu Yu , Li Xinglin , Zhu Junchao , Xu Ran
Published: July 2022

Introduction. Thoracoscopic minimally invasive surgery is the main method for the treatment of lung cancer. The reduction of surgical trauma can effectively reduce the intraoperative and postoperative inflammatory reaction. The aim of the study is to compare the intraoperative and postoperative inflammatory reactions in patients with non‐small‐cell lung cancer (NSCLC) treated by single‐port thoracoscopic surgery and three‐port thoracoscopic surgery. Methods. A total of 68 NSCLC patients (stages I and II) of thoracoscopic surgery were selected and randomly divided into two groups where they received either single‐port thoracoscopic surgery or three‐port thoracoscopic surgery. Intraoperative and postoperative serum inflammatory markers (C‐reactive protein, CRP; serum amyloid A protein, SAA; and interleukin 6, IL‐6) were detected using the enzyme‐linked immunosorbent assay. Results. The CRP level of the single‐port group was significantly lower than that of the three‐port group during surgery, the first day after surgery, and third day after surgery (P < 0.05). The level of IL‐6 in the single‐port group was significantly lower than that in the three‐port group during surgery on the first and third days after surgery (P < 0.05). The level of SAA in the single‐port group was also significantly lower than that in the three‐port group on the first and third days after surgery (P < 0.05). Conclusion. Compared with three‐port thoracoscopic surgery, single‐port thoracoscopic surgery could reduce the inflammatory response and improve the recovery of NSCLC patients. Single‐port thoracoscopic surgery is worthy of further promotion in the current treatment field of NSCLC in terms of reducing intraoperative and postoperative inflammatory reactions.
Complement 3a Mediates CCN2/CTGF in Human Retinal Pigment Epithelial Cells
Authors: Xiao Kang , Xu Zhiyan , Chen Zhengyu , Long Qin , Chen Youxin
Published: July 2022

Background. Complement 3 (C3) is the crucial component of the complement cascade when retina was exposed to external stimulus. Cellular communication network 2/connective tissue growth factor (CCN2/CTGF) is important in response of retinal stress and a fulcrum for angiogenesis and fibrosis scar formation. Our study aims to explore the interaction between C3 and CCN2/CTGF via bioinformatics analyses and in vitro cell experiments. Methods. The GSE dataset was selected to analyse the chemokine expression in human retinal pigment epithelium (ARPE-19) cells under stimulus. Then, RPE cells were further transfected with or without C3 siRNA, followed by C3a (0.1 μM or 0.3 μM) for 24, 48, and 72 hours. Reverse transcription-polymerase chain reaction (RT-PCR) and enzyme-linked immunosorbent assay (ELISA) were used to measure CCN2/CTGF mRNA and protein levels. Results. The GSE36331 revealed C3 expression was significantly elevated in RPE under stimulus. Compared with negative control, CCN2/CTGF mRNA was increased with all types of C3a treatments, whereas a significant increase of protein level was only observed with high concentration of 0.3 μM C3a for a prolonged 72-hour time. Compared with nontransfected cells, significant reductions of CCN2/CTGF mRNA were observed in the C3 siRNA transfected cells with 0.3 μM C3a for 24, 48, and 72 hours, and a significant reduction of CCN2/CTGF protein was observed with 0.3 μM C3a for 48 hours. Conclusions. C3 was elevated in RPE under environmental stimulus and long-term exposure to specified concentration of C3a increased CCN2/CTGF expression in RPE, which could be partially reversed by C3 siRNA.
Design of 3D Image Visual Communication System for Automatic Reconstruction of Digital Images
Authors: Li Yuting
Published: July 2022

In order to improve the visual communication effect of the 3D image visual communication system, this article combines the automatic reconstruction technology of digital images to design the 3D image visual communication system. Moreover, this article studies the shock stability of the shock capture scheme by combining entropy generation analysis, linear disturbance analysis, and numerical experiments. In addition to this, this article presents a general method that can be used to suppress numerical shock instabilities in various Godunov-type schemes. It can be seen from the experimental results that the proposed 3D image visual communication system for the automatic reconstruction of digital images has a good visual communication effect.
An Analysis of the Interaction between Ancient Literature Informatization Project and Classical Literature Research Based on Intelligent Computing
Authors: Ma Jinjin
Published: July 2022

Objective. This research preliminarily establishes a public information platform in the field of ancient literature informatization engineering aiming to provide an effective platform and foundation for the analysis of the interaction between ancient literature informatization engineering and classical literature research. Methods. This research collects ancient documents and establishes an ancient document information engineering retrieval system based on intelligent computer. Through the computer, various data and keywords can be extracted and preprocessed, and the required word frequency can be obtained through the sorting index. Check and use coordinates to label node locations, which can automatically generate data tables and files arranged by year. The method based on intelligent computing is used to analyze the development context of ancient Chinese literature, literary thoughts of different schools, and the quantity of classical literary works of different ages. Results. The ancient literature informatization project occupies an important position in the complex ancient literature, and the application frequency is high, which promotes the development and progress of classical literature. Applying the method based on intelligent computing for ancient literature retrieval, the retrieval speed is significantly improved, and basic and comprehensive retrieval can be realized. Conclusion. The ancient literature informatization project based on intelligent computing and classical literature research can build a good relationship through interaction, and the work in this area has achieved the initial results. In the process of applying the ancient literature information engineering retrieval system, there will still be a problem that the management level of a large number of ancient literature is not high. However, it is necessary to continue to explore in more unknown areas and expand the application scope of intelligent computers.
Mechanism of Undergraduate Students’ Waste Separation Behavior in the Environmentally Friendly Higher Education Mega Center of Guangzhou
Authors: Wang Dong , Chen Weishan , Zheng Xiarou , Li Yuxin
Published: July 2022

The volume of waste produced by aspects of both industrial life and daily life has increased in the past few years in conjunction with the rapidly growing economy in China. In urban areas, citizens consume more resources and produce much waste, which pollutes the environment. Many cities have proposed numerous regulations for waste separation to help build environmentally friendly cities. Plenty of studies tried to reveal the mechanism of residents’ waste separation behavior in different theoretical perspectives but were unable to clarify the effect of waste separation factors in university. Moreover, the response and performance of undergraduate students after the waste separation regulations are proposed and are not well discussed. To clarify the mechanism of waste separation behavior in campus and evaluate the response and performance, in this study, a questionnaire is used to sample undergraduate students from the Higher Education Mega Center in Guangzhou. With the use of SPSS 23.0, this study conducts an empirical analysis; the results of which show that (1) environmental awareness and personal responsibility have a significant positive impact on behavior attitude; (2) convenience and economic cost have a significant positive impact on perceived behavior control; (3) intention has a partial mediating role between behavior attitude, subjective norms, and perceived behavior control; and (4) habits directly affect behavior and regulate the relationship between intention and behavior. The results will provide some meaningful implications for the government.
Optimization of Ideological and Political Education Strategies in Colleges and Universities Based on Deep Learning
Authors: Yao Yanxia , Xia Jianwen
Published: July 2022

In the current technological world, artificially intelligent deep learning techniques are adapted in many fields. This advanced technology is also used in the field of education. In this study, people will conduct research on the optimization of ideological and political education strategies in colleges and universities based on deep learning. Deep learning is often a machine learning technique that uses artificial neural networks that allow a machine to imitate human behaviour. Ideological and political education deals with the social studies implied by the political scenario. Ideological and political education aims to teach the younger generation social, economic, and political awareness. In our proposed system, people will deploy the deep learning algorithm named brute force algorithm to optimize ideological and political education in colleges and universities. The teaching optimization is performed by automating the training of the deep learning model. The results were compared with the existing K-means algorithm, and it is observed that the proposed system has achieved a higher accuracy of 99.12% in optimizing the educational strategies.
Collaborative Computation for Offloading and Caching Strategy Using Intelligent Edge Computing
Authors: Zheng Yi-fan , Wei Ning , Liu Yi
Published: July 2022

Computation offloading and caching strategy is a well-established concept for allowing mobile applications that are high in resources. Furthermore, the unloaded duties can be replicated when several customers are within easy access because of the rising mobile cooperation applications. However, the problematic characteristics of offloading and caching strategy delay bandwidth transfer from mobile computing devices to cloud computing. A new technical approach to restrict the issues and unwanted functions in offloading and caching is called the intellectual power computing framework (IPCF). IPCF depends on two conventional offloading and caching strategies called systematic offloading technique and managerial migrant caching. The migration of data transfer from the destination to location basis lies in the systematic offloading technique to restrict network delays. Managerial migrant caching duplicates the data required by the mobile terminals (MTs) from the remote cloud storage to the mobile application to reduce the access time. The forbidden actions in current techniques are refused, and solutions are enhanced for better communication strategy. Thus, the simulation analysis performs better in IPCF to reach efficient outcomes for offloading and caching processes.
Prediction and Experimental Verification of Distortion due to Residual Stresses in a Ti-6Al-4V Control Arm Plate
Authors: Bhat Aayush , Elsen Renold S. , Abishai Daniel , Jayaprakash Narayan M. , Sakthivel Aravind Raj , Chadha Utkarsh , Hirpha Bulcha Bukele
Published: July 2022

This study evaluates the distortion in an SLM-printed Ti-6Al-4V control arm plate of a double-wishbone suspension linkage. Temperature gradients are a common observation in selective laser melting (SLM). The development of residual stresses can lead to performance-based concerns due to the distortions emerging in part. Despite these shortcomings, SLM has often been employed in manufacturing high-end structural components under its ability to produce complex geometries. A thermomechanical simulation predicts the residual stresses developed in part and the distortions generated by those stresses. The simulation model is validated by reconstructing the printed part using computerized tomography (CT) and aligning it with the original design. The results reveal a close correlation between the predicted and the observed distortion, with the thickness of features and the location of support structures having a significant impact on postprint parts. Additionally, the study on build orientation helps understand the distribution of residual stresses and their redistribution after removing support structures.