bluuebunny/crossref_metadata_2025 huggingface dataset:
A Pan-Cancer Analysis of the Oncogenic Roles of RAD51 in Human Tumors
Authors: Lu Han , Li Zhenzhen , Liu Liangeng , Tao Yunjuan , Zhou Yue , Mao Xiaohong , Zhu Aoxun , Wu Honglin , Zheng Xingzhong
Published: September 2022

Objective. RAD51 homolog 1 (RAD51) plays significant roles in DNA damage repair and apoptosis. These pathways are tightly associated with tumor initiation and progression. To unravel the roles of RAD51 in oncogenesis and progression of different cancers, herein, a comprehensive analysis of the RAD51 was carried out using multiomics datasets of 33 cancers. Methods. Raw data were obtained from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases. We analyzed the correlation between RAD51 expression and drug response using datasets from CellMiner. Next, clinical characteristics and prognostic values of RAD51 were conducted based on TCGA data. The correlation between RAD51 expression and tumor immune infiltration was explored. This was followed by gene set enrichment analysis by Rsoftware. In addition, pan-cancer analysis was conducted to investigate genetic and epigenetic alterations, respectively. Results. RAD51 was upregulated in most tumors, and this was associated with poor overall survival (OS), progression-free survival (PFS), and disease-specific survival (DSS). The expression level of RAD51 is significantly associated with the IC50 of multiple antitumor drugs and the proportion of stromal and immune components in tumor microenvironment (TME). Moreover, RAD51 expression showed a positive relationship with multiple key immune checkpoint and immunosuppressive genes, including death-ligand 1 (PD-L1), cytotoxic T-lymphocyte associated protein 4 (CTLA-4), CD28, and several TNF-related immune genes. Gene set enrichment analysis uncovered that RAD51 correlated with cell cycle, cell division, and immune system pathways in diverse cancers. Our results revealed a strong link between RAD51 expression and microsatellite instability (MSI) or tumor mutation burden (TMB). Conclusions. Our pan-cancer analysis provides a comprehensive overview of the roles of RAD51 in multiple human cancers and infers that RAD51 has the potential as a biomarker for progression and immune infiltration of different tumor types.
Analysis of the Development Trend and Scheme of Agricultural Electrification Intelligence Based on Big Data Mining and OLAP Tool Analysis Algorithm
Authors: Chen Chao , Fu Jun , Zou Li , Liu Yi , Sun Yakun
Published: September 2022

To transform from a large agricultural country to a strong agricultural country, China must take the road of modernized, automated, and information-based agriculture. With the advantages of high efficiency, low cost, flexibility, stability, and reliability, electrified production is the material and technical basis for agricultural mechanization, automation, industrialization, and management modernization. Big data mining and OLAP tool analysis algorithm has powerful data processing ability and occupies a very important part in various fields. This article analyzes the current situation of agricultural electrification development, electrification development dynamics, and electrification application scope based on big data mining and OLAP tool analysis algorithm, and finally comes up with several suggestions for agricultural electrification development.
A Comparative Study of Some Point Process Models for Dynamic Networks
Authors: Dizaji S. Haleh S. , Pashazadeh Saeid , Musevi Niya Javad
Published: September 2022

Modeling dynamic networks has attracted much interest in recent years, which helps understand networks’ behavior. Many works have been dedicated to modeling discrete‐time networks, but less work is done for continuous‐time networks. Point processes as powerful tools for modeling discrete events in continuous time have been widely used for modeling events over networks and their dynamics. These models have solid mathematical assumptions, making them interpretable but decreasing their generalizability for different datasets. Hence, neural point processes were introduced that don’t have strong assumptions on generative functions. However, these models can be impractical in the case of a large number of event types. This research presents a comparative study of different point process (Hawkes) models for continuous‐time networks. Furthermore, a previously introduced neural point process (neural Hawkes) model is applied for modeling network interactions. In this work, network clustering is used for specifying interaction types. These methods are compared using different synthetic and real‐world datasets, and their efficiency is evaluated on these datasets. The experiments represent that each model is appropriate for a group of datasets. In addition, the effect of clustering on results is discussed, and experiments for different clusters are presented.
Optimization of Distribution Automation System Based on Artificial Intelligence Wireless Network Technology
Authors: Tian Weihua , Meng Xiangbin , Wang Jianing , Yan Hongkui
Published: September 2022

In order to further improve the automation setting of distribution system, this paper proposes an optimization research of distribution automation system based on artificial intelligence wireless network technology. This method uses artificial intelligence wireless network technology to optimize the automation of distribution system and improve the automation ability of distribution system. The experimental results show that when the number of iterations in the training process reaches 338, the mean square error is 0.001. Conclusion. The optimization research method of distribution automation system based on artificial intelligence wireless network technology can more effectively improve the automation level of distribution system.
The Therapeutic Effectiveness Using Fluorescence‐Guided Surgery for MRONJ
Authors: Huang Hongyuan , Zhao Ning , Li Qingxiang , Qiao Qiao , Zhang Jianya , Guo Chuanbin , Guo Yuxing
Published: September 2022

Background. Long‐term application of antiresorptive and/or antiangiogenic agents may cause oral disorders, including medication‐related osteonecrosis of the jaw (MRONJ), which remains an incurable disease. Surgical treatment can help alleviate infection of the jaw and block the progress of the disease, but postoperative recurrence is often caused by incomplete resection of necrotic bone during surgery. The traditional method for determining the boundary of necrotic bone resection is primarily based on the color, geology, and microcirculation‐based bleeding state according to the bone tissue, which is easily affected by the surgeon’s clinical experience and can cause insufficient resection of osteonecrosis bone. Recent studies have proposed using fluorescence technology‐assisted necrotic bone resection. Objective. Systematic literature review was conducted to evaluate the therapeutic effectiveness of fluorescence‐guided MRONJ surgery. Design. PubMed/MedLine, Scopus, and Web of Science databases were searched from inception to February 7, 2022. Randomized controlled trial (RCT) studies were evaluated according to the Cochrane risk of bias tool ROB 2, and non‐RCT (N‐RCT) studies were evaluated according to the ROBINS‐I tool. Results. A total of 6 articles were included in the systematic review, including 4 N‐RCT studies (1 retrospective study and 3 prospective studies) and 2 RCT studies, with 240 patients and 280 MRONJ lesions. The vast majority of studies were with moderate risk of bias, and the quality of the evidence was moderate. Conclusion. Evidence of moderate strength suggests that fluorescence‐assisted techniques effectively determine the bone resection boundaries in MRONJ surgery. However, whether the prognosis of patients treated with fluorescence‐guided surgery is significantly better than that of traditional surgery must be proved by randomized controlled studies with larger sample sizes and higher quality.
Identification and Validation of a Prognostic Signature Based on Methylation Profiles and Methylation-Driven Gene DAB2 as a Prognostic Biomarker in Differentiated Thyroid Carcinoma
Authors: Ju Gaoda , Zhang Lingling , Guo Wenting , Wang Hao , Zhang Xin , Mu Zhuanzhuan , Sun Yuqing , Sun Di , Diao Han , Miao Sen , Chen Yiran , Xing Tao , Liang Jun , Lin Yansong
Published: September 2022

Recurrence is the major death cause of differentiated thyroid carcinoma (DTC), and a better understanding of recurrence risk at early stage may lead to make the optimal medical decision to improve patients’ prognosis. The 2015 American Thyroid Association (ATA) risk stratification system primary based on clinic-pathologic features is the most commonly used to describe the initial risk of persistent/recurrent disease. Besides, multiple prognostics models based on multigenes expression profiles have been developed to predict the recurrence risk of DTC patients. Recent evidences indicated that aberrant DNA methylation is involved in the initiation and progression of DTC and can be useful biomarkers for clinical diagnosis and prognosis prediction of DTC. Therefore, there is a need for integrating gene methylation feature to assess the recurrence risk of DTC. Gene methylation profile from The Cancer Genome Atlas (TCGA) was used to construct a recurrence risk model of DTC by successively performed univariate Cox regression, LASSO regression, and multivariate Cox regression. Two Gene Expression Omnibus (GEO) methylation cohorts of DTC were utilized to validate the predictive value of the methylation profiles model as external cohort by receiver operating characteristic (ROC) curve and survival analysis. Besides, CCK-8, colony-formation assay, transwell, and scratch-wound assay were used to investigate the biological significance of critical gene in the model. In our study, we constructed and validated a prognostic signature based on methylation profiles of SPTA1, APCS, and DAB2 and constructed a nomogram based on the methylation-related model, age, and AJCC_T stage that could provide evidence for the long-term treatment and management of DTC patients. Besides, in vitro experiments showed that DAB2 inhibited proliferation, colony-formation, and migration of BCPAP cells and the gene set enrichment analysis and immune infiltration analysis showed that DAB2 may promote antitumor immunity in DTC. In conclusion, promoter hypermethylation and loss expression of DAB2 in DTC may be a biomarker of unfavorable prognosis and poor response to immune therapy.
Intelligent Logistics System Design and Supply Chain Management under Edge Computing and Internet of Things
Authors: Wang Tianxia , Chen Hong , Dai Rui , Zhu Delong
Published: September 2022

In order to carry out practical innovation of the intelligent logistics system and promote the practicality of the intelligent logistics system and supply chain management process, this study aims to optimize the design of the intelligent logistics system and supply chain management under edge computing (EC) and the Internet of Things (IoT). The flower pollination algorithm performs the positioning function in the intelligent logistics system and supply chain management. Based on the research on the design of the intelligent logistics system and supply chain management under the EC and IoT, this thesis analyzes the positioning of intelligent logistics systems and supply chain management through the flower pollination algorithm. The eXtreme Gradient Boosting (XGBoost) model is used to predict user information in the system of supply chain management information. Finally, the operation of intelligent logistics and supply chain management systems, the prediction model of supply chain management under XGBoost, and the change of supply chain management and material flow are analyzed. The results show that with the increase in the number of iterations, the optimized algorithm improves the comparison distance error by 53.57%, which has high accuracy and can meet the requirements of positioning and tracking of the intelligent logistics system and logistics status query in supply chain management. The waiting time of the intelligent logistics system is shorter than that of the supply chain management system, and the average waiting time of the system increases by 121.252 ms. The XGBoost model can well predict user information under supply chain management. After discussing the changes of the intelligent logistics system from 2018 to 2020, it is found that the operation efficiency of the supply management system is higher with the increase of the system operation days. The intelligent logistics system has a significant impact on the development of the logistics industry. This research gives a reference for establishing the intelligent logistics system and supply chain management system.
Financial Management of Listed Companies Based on Convolutional Neural Network Model in the Context of Epidemic
Authors: Duan Qian , Cao Xinyu , Xu Li
Published: September 2022

The goal of financial management is to manage the purchase and sale of assets, the rational financing of funds, the management of cash flow in operations, and finally, the reasonable distribution of company profits in a certain task situation, which is simply the management of the “three statements” of the enterprise. The core issue of the financial mechanism is how to choose a centralized or decentralized management model, which requires the company to consider the internal and external environment, and according to the development of the company, the quality of employees and business characteristics of various factors, in order to make the best choice of the company’s financial management model. Therefore, in the context of the epidemic, this article conducts research related to the financial management of listed companies based on convolutional neural network models (radial basis neural network, generalized regression neural network, wavelet neural network, and fuzzy neural network). This article, firstly, discusses the basic theories of macro- and micro-financial management of enterprises and financial management of listed enterprises, secondly, examines the overall financial management model of listed enterprises in China through methods such as the convolutional neural network model research method introduced in this article, and then, after an overall examination and analysis of the financial management situation of X-listed enterprises, finds the macro- and micro-status quo of financial management of listed enterprises in China under the epidemic, and in the sub. On the basis of the status quo, suggestions are made to build a financial management model that combines centralization and decentralization and to build a group financial risk management system.
Research on Personalized Book Recommendation Based on Improved Similarity Calculation and Data Filling Collaborative Filtering Algorithm
Authors: Du Yanping , Peng Lizhi , Dou Shuihai , Su Xianyang , Ren Xiaona
Published: September 2022

(Purpose/Significance). This paper aims at the problems of inaccurate recommendation effect caused by data sparseness and cold start in the traditional collaborative filtering-based book personalized recommendation algorithm. So this paper proposes a collaborative filtering recommendation algorithm which improves the similarity solution method and the filling method of missing data. (Method/Process). By considering the influence of the user’s common rating book collection on the similarity calculation, the average rating value of all books is used as the threshold, and the user’s common rating weight is introduced into the user’s similarity calculation. As for data filling, according to the user’s average rating, the basic attributes such as the age and gender of users are coded, and then Euclidean distance is initially calculated, making hierarchical clustering on users. What’s more, Shope-one algorithm is used to calculate the filling value of the former m similar users，and add the weight value of the degree simultaneously to get the final filling value, so as to improve the data filling method. (Result/Conclusion). Experiments were carried out with the data set of Book-Crossing Data set through Python. The experimental results show that the improved collaborative filtering algorithm has a significantly improvement in the accuracy and quality of book recommendation.
Primary and Triage Cervical Screening Diagnostic Value of Methods for the Detection of Cervical Dysplasia
Authors: Njue James Kinoti , Muturi Margaret , Kamau Lucy , Lwembe Raphael
Published: September 2022

Background. Cervical cancer is a leading cause of mortality among women globally. Approaches to reduce cervical cancer incidence and mortality are “screen‐and‐treat,” where positive primary test only is used in the treatment and “screen, triage and treat,” where treatment is based on positive primary and triage tests with/without histological analysis. Objectives. To determine cervical screening outcomes among HIV‐infected and noninfected women using VIA, Pap smear, and HPV‐PCR cervical screening methods and to determine the sensitivity, specificity, PPV and NPV of VIA, Pap smear, and HPV‐PCR as primary test and sequential triage based on abnormal histopathology among HIV‐infected and noninfected women. Methodology. This was a comparative cross‐sectional study where women aged 18‐46 years women underwent cervical screening and colposcopy‐biopsy test as a positive‐confirmatory test in the Referral Hospitals of Eastern Kenya. Results. A total of 317 (HIV negative: 156/317 (49.2%) and HIV positive: 161/317 (50.8%)) women were enrolled. Of these 81/317 (25.6%), 84/317 (26.5%), 96/317 (30.2%), and 78/122 (63.9%) participants had VIA, HPV DNA‐PCR, Pap smear, and cervical histology positive results, respectively; average: 27.4% (HIV positive: 21.5%; HIV negative: 5.9%). Majority of women with LSIL [17/317 (5.4%)], HSIL [22/317 (6.9%)], invasive cancer [5/317 (1.6%)], cervicitis [45/317 (14.2%], and candidiasis 47/317 (14.8%) were HIV‐infected (p < 0.001). 78/317 (24.6%) participants had positive histology test [ASCUS: 34/317 (10.7%) CIN1:17/317 (5.3%), CIN2: 16/317 (5.0%), CIN3:6/317 (1.9%), and ICC: 5/317 (1.6%)] (p > 0.001). A higher primary diagnostic accuracy was established by HPV DNA‐PCR (sensitivity: 95.5%; specificity: 92.6%) than Pap smear and VIA test while in triage testing, high sensitivity was obtained by HPV DNA‐PCR parallel testing with VIA test (92.6%) and Pap smear test (92.7%) and VIA cotesting with Pap smear (99.9%). HIV‐infected women had increased specificity and reduced sensitivity and diagnostic accuracy by both primary and triage testing approaches. Discussion. Abnormal cervical screening outcome was high among HIV‐infected than noninfected women. HIV‐infected women had significantly high cases of cervical neoplastic changes. The diagnostic value of primary tests increased upon concurrent testing with other test methods hence reducing the number of women who would have been referred for biopsy. Conclusion. High sensitivity and specificity in detection of CIN+ were established among HIV‐infected than HIV noninfected women by HPV DNA‐PCR and Pap smear than VIA test. HPV DNA‐PCR test and Pap smear are more accurate in primary and sequential triage cervical screening based on abnormal histopathology outcomes among HIV‐infected than noninfected women.
Diagnostic Performance of Transient Elastography Versus Two‐Dimensional Shear Wave Elastography for Liver Fibrosis in Chronic Viral Hepatitis: Direct Comparison and a Meta‐Analysis
Authors: Luo Qing-Tian , Zhu Qing , Zong Xiao-Dan , Li Ming-Kai , Yu Hong-Sheng , Jiang Chang-Yu , Liao Xiang
Published: September 2022

Objective. This systematic review and meta‐analysis aimed to compare the diagnostic performance of transient elastography (TE) and two‐dimensional shear wave elastography (2D‐SWE) for staging liver fibrosis in patients with chronic viral hepatitis (CVH). Methods. Pubmed, Embase, Web of Science, and Cochrane Library were searched (‐01/08/2021) for studies comparing TE with 2D‐SWE in patients with CVH. Other etiologies of chronic liver disease (CLD) and articles not published in SCI journals were excluded. The bivariate random‐effects model was used to pool the performance of the TE and 2D‐SWE. Results. Eight articles with a total of 1301 CVH patients were included. The prevalence of significant fibrosis (fibrosis stage ≥ 2), advanced fibrosis (fibrosis stage ≥ 3), and cirrhosis was 50.8%, 44.8%, and 34.7%, respectively. 2D‐SWE expressed higher overall accuracy than TE in detecting significant fibrosis (0.93 vs. 0.85, P = 0.04). No significant difference among the overall diagnostic accuracy of TE and 2D‐SWE in staging advanced fibrosis and cirrhosis was found. Conclusion. TE and 2D‐SWE express good to excellent diagnostic accuracies to stage fibrosis in CVH patients. 2D‐SWE compares favorably with TE especially for predicting significant fibrosis.
Design of the Student Attendance Management System Based on the Internet of Things Technology
Authors: Xun Hongmei , Zou Bojun , Duan Chenyu
Published: September 2022

The IoT  refers to the linking of items to a network through message-generating devices; in the connection process, communication and information circulation are carried out through the information dissemination medium to realize intelligent identification, tracking, supervision, and other functions. Attendance management is a system for assessing employee attendance, including being late, leaving early, and asking for leave. Student attendance refers to the attendance rate of students in class. This article aimed to study the design and research of the student attendance management system based on the Internet of things technology, and use this system to accurately record students’ attendance and develop good habits for students. An effective attendance management company has been developed to enhance the collection of information for student management in universities, to keep track of teachers’ and students’ teaching attendance in real time, and to connect teachers and students in real time using computer technology. Access to the Android version of the software speeds up the collection and processing of information and can play an important role in improving the efficiency of personnel management. On the basis of analysing the operation logic of the attendance system, matching programs and the attendance system software are designed. The experimental results of this article show that the attendance rate of students with utilitarian personality is the highest, as high as 70%; the attendance rate of students with helpless personality is 13%; the attendance rate of students who follow the current personality accounted for 10%; and the attendance rate of nonmotivated students accounted for 7%. It can be seen from this that personality is an important factor affecting students’ attendance rate. The attendance rate of positive psychology with goals is the highest, and the attendance rate of students without clear goals is the lowest. The student attendance management system of the Internet of things technology has been applied in practical work, but with the continuous construction and development of the school, the continuous improvement of new software and hardware, and the emergence of new needs in practical work, the student attendance management system is easy to crash when processing a large amount of data at the same time.
Single-Cell Transcriptome Analysis Reveals Different Immune Signatures in HPV- and HPV + Driven Human Head and Neck Squamous Cell Carcinoma
Authors: Li Simin , Wang Yang , Sun Rui , Franceschi Debora , Pan Hongying , Wei Chenxuan , Ogbuehi Anthony Chukwunonso , Lethaus Bernd , Savkovic Vuk , Gaus Sebastian , Zimmerer Rüdiger , Ziebolz Dirk , Schmalz Gerhard , Jiang Xiao
Published: September 2022

Background. Head and neck squamous cell carcinoma (HNSCC) is a significant health problem and related to poor long-term outcomes, indicating more research to be done to deeply understand the underlying pathways. Objective. This current study aimed in the assessment of the viral- (especially human papilloma virus [HPV]) and carcinogen-driven head and neck squamous cell carcinoma (HNSCC) microenvironment based on single-cell sequencing analysis. Methods. Data were downloaded from GEO database (GSE139324), including 131224 cells from 18 HP- HNSCC patients and 8 HPV+ HNSCC patients. Following data normalization, all highly variable genes in single cells were identified, and batch correction was applied. Differentially expressed genes were identified using Wilcoxon rank sum test. A gene enrichment analysis was performed in each cell cluster using KEGG analysis. Single-cell pseudotime trajectories were constructed with MONOCLE (version 2.6.4). Cell-cell interactions were analyzed with CellChat R package. Additionally, cell-cell communication patterns in key signal pathways were compared in different tissue groups. A hidden Markov model (HMM) was used to predict gene expression states (on or off) throughout pseudotime. Five-year overall survival outcomes were compared in both HPV+ and HPV- subsets. Results. 20,978 high-quality individual cells passed quality control. RNA-seq data were used from 522 HNSCC primary tumor samples. 1,137 differentially expressed genes between HPV+ and HPV- HNSCC patients were investigated. 96 differentially expressed genes were associated with overall survival and highly enriched in B cell associated biological process. Cell composition differed between types of samples. MHC-I, MHC-II, and MIF signaling pathways were found to be most relevant. Within these pathways, some cells were either signal receiver or signal sender, depending on sample type, respectively. Six genes were obtained, AREG and TGFBI (upregulation), CD27, CXCR3, MS4A1, and CD19 (downregulation), whose expression and HPV types were highly associated with worse overall survival. AREG and TGFBI were pDC marker genes, CXCR3 and CD27 were significantly expressed in T cell-related cells, while MS4A1 and CD19 were mainly expressed in B naïve cells. Conclusions. This study revealed dynamic changes in cell percentage and heterogeneity of cell subtypes of HNSCC. AREG, TGFBI, CD27, CXCR3, MS4A1, and CD19 were associated with worse overall survival in HPV-related HNSCC. Especially B-cell related pathways were revealed as particularly relevant in HPV-related HNSCC. These findings are a basis for the development of biomarkers and therapeutic targets in respective patients.
New-Onset Lichen Planus Induced by the Pfizer COVID-19 Vaccine
Authors: Alghamdi Fadi A. , Khayyat Shahad T. , Alshareef Mohammed M. , Felemban Wala’a
Published: September 2022

Objective. Coronavirus disease 2019 (COVID-19) vaccine distribution continues to expand; however, increased cutaneous reactions have been reported. Several recent studies suggest a link between COVID-19 vaccination and the development of various cutaneous complications. Lichen planus is a chronic, immune-mediated, inflammatory dermatological illness with an unclear etiology. In this case report, we assessed the relationship between COVID-19 vaccination (Pfizer) and lichen planus diagnosis and evaluated the link between additional doses of the vaccine and disease progression. Methods. Complete clinical, laboratory, and histopathological assessment of a patient was performed with ethical and privacy considerations. Written informed consent for all clinical data, images, and publication was obtained from the patient. Results. New-onset lichen planus appeared 48 hours after the first dose of the Pfizer vaccine. The symptoms worsened following the second dose. The patient responded gradually to topical corticosteroids, and lichen planus was controlled within 21 days. Conclusion. Our case significantly contributes to the literature by highlighting that additional doses of the Pfizer vaccine can contribute to disease progression. Therefore, reporting the patient’s condition associated with COVID-19 vaccination should be considered. Future studies should be performed to investigate the combined onset of lichen planus and multisystem COVID-19 vaccine-related complications.
Epithelioid Hemangioendothelioma: Incidence, Mortality, Prognostic Factors, and Survival Analysis Using the Surveillance, Epidemiology, and End Results Database
Authors: Liu Zhen , He Shuting
Published: September 2022

Background. Although epithelioid hemangioendothelioma (EHE) is a rare and aggressive vascular tumor, its demographic characteristics remain unclear. We used the surveillance, epidemiology, and end results (SEER) database to determine the clinical features, incidence, and prognostic factors associated with overall survival in patients with EHE. Methods. The demographic and clinical data of patients with EHE were extracted from the SEER database (1975-2019) to calculate the incidence of EHE and survival rate in these patients. The Cox proportional hazards model and Kaplan-Meier method were used to analyze the prognostic factors of overall survival in these patients. A nomogram and time-dependent receiver operating characteristic (ROC) curve were employed to predict the 3- and 5-year survival rate. Results. The overall incidence rate (IR) of EHE was 0.230 (

95
%
confidence
 
interval
 

CI

=
0.201
–
0.263

) per 1,000,000 person-years. According to the age-stratified IR, the highest age-adjusted IR was observed in patients aged 60–79 years (0.524 per 1,000,000 person-years,

95
%
CI
=
0.406
–
0.665

). The majority (30.8%) of the tumors were located in the soft tissue and skin, followed by lesions in the abdomen (28%), respiratory system (19%), bone and joint (8.6%), and others. The 5-year overall survival rate was 55.6% (

95
%
CI
=
32.8
–
73.5
%

). Multiple Cox regression analysis revealed that age >80 years (

hazard
 
ratio
 

HR

=
8.57

,

95
%
CI
=
2.32
–
31.63

,

P
<
0.001

), African-American race (

HR
=
2.52

,

95
%
CI
=
1.31
–
4.85

,

P
<
0.01

), “American Indian/Alaska Native” or “Asian or Pacific Islander” (

HR
=
2.99

,

95
%
CI
=
1.5
–
5.96

,

P
<
0.01

) race, and respiratory tumors (

HR
=
2.55

,

95
%
CI
=
1.37
–
4.75

,

P
<
0.01

) were distinctly related to worse overall survival. The calibration plots demonstrated good consistency between nomogram-predicted and actual survival. The area under the time-dependent ROC curve was 0.721 (

95
%
CI
=
0.63
–
0.81

) and 0.719 (

95
%
CI
=
0.63
–
0.81

) for the 3- and 5-year survival, respectively. For the convenience of researchers and clinicians, we designed an online dynamics nomogram to predict the survival rate. Conclusion. EHE is a relatively rare vascular tumor, which principally occurs in the soft tissue and skin. It most commonly occurs in patients aged 60–79 years and its incidence has increased in recent years. Age at diagnosis, race, and tumor location may affect the overall survival outcomes.
Automatic Generation of News Commentary on Social Media Based on Self-Attention Mechanism
Authors: Qu Miao
Published: September 2022

With development for social media, the technology of automatic comment generation for social media news is expected to generate great social and commercial value; so, this technology has attracted more and more attention from industry and academia. The automatic generation of social media news comments refers to the use of current popular technologies such as deep learning, NPL, and data mining to build high-performance algorithms to give machines the same ability to understand and express language as humans and to imitate human language habits to comment on social media news. Automatic generation of social media news comments is a challenging and understudied task in natural language processing. This work addresses the problem that social media news texts are too long and have complex contextual information, and existing work does not model the content structure of news well and proposes a topic encoding model. First, topic extraction and construction of news texts are carried out using the Latent Dirichlet Allocation (LDA) topic model to convert unstructured news texts into topic-sentence pairs. Second, a topic encoder is designed based on the self-attention mechanism, and topic-sentence pairs are input into the topic encoder. It goes through the sequence embedding module, the sentence encoding module, and the topic encoding module in turn to obtain the topic hidden state sequence. Finally, this paper designs a topic attention mechanism to generate diverse comments by giving different attention to each topic in the decoding part. Comprehensive and systematic experiments verify the effectiveness of this work and improve the performance of automatic generation of social media news comments.
University Curriculum Setting and Teaching Governance System Based on Distributed Sensor Network
Authors: Liu Shiyu
Published: September 2022

The rapid development of Internet, computer, and other information technology has promoted the continuous reform of school education. Network education uses existing educational resources to break through the limitation of time and space of traditional education. However, it needs a high-quality teaching management platform and a perfect teaching governance system whether the curriculum is of high-quality and can achieve the expected educational purpose and realize its educational value. In this paper, according to the current situation of network university teaching, a distributed network teaching management system is built on the basis of the digital campus platform. The university teaching system is constructed under the support of exploring intelligent technology. The system is divided into four parts: resource system, teaching system, management system, and application system. On the basis of the traditional teaching mode, the advanced multimedia teaching management system is introduced. Based on the distributed cognitive theory, the distributed structure of teaching video system is adopted. In the experiment, Class A as the control class was taught in the traditional mode, and Class B as the experimental class was taught in the distributed teaching mode. The results show that 57.8% of the students feel that there is obvious mutual promotion, deepening students’ visual cognitive understanding of the learning process can cultivate and improve students’ cognitive ability and innovation ability.
Application of Laser Scanning Technology in Digital Method
Authors: Liu Fangfang
Published: September 2022

In order to improve the efficiency and accuracy of retrieval and mining of highway operation management information, a digital method research and application method based on laser scanning technology is proposed. Combined with the data storage and backup requirements of highway toll collection system, such as large amount of information, high reliability, easy management, and easy management, a complete design scheme of optical storage backup chip based on programmable logic array FPAG technology is proposed. The function, design, and simulation implementation of the write strategy subsystem and the laser power automatic control subsystem of the optical storage backup chip system are emphatically introduced. Through a lot of simulation tests, the scheme is reasonable and feasible, and its performance is stable and reliable.
Experimental Investigation and Parametric Analysis of the Mechanical Properties of Aluminum Alloy Thin-Walled Hollow Columns under Axial Compression
Authors: Zhao Longlong , Xi Fei , Wang Qinglong , Wei Yang
Published: September 2022

Five specimens were cut from an aluminum alloy thin-walled hollow column to complete a tensile test, and the strength of the aluminum alloy was measured to be 200.18 MPa. The Ramberg–Osgood model was compared with the stress-strain relationship of the test results, and the fitting regression coefficient was more than 0.99. Four groups of axial compression trials of aluminum alloy thin-walled hollow columns with different heights were accomplished, and the test phenomena and data were concurrently observed and recorded. The results show that the axial compressive bearing capacity of aluminum alloy thin-walled hollow columns does not change with the change in column height, the mean value is 73.72 kN, and the corresponding covariance is only 2.14%. Local buckling failures appeared in all of these columns, and the failure locations were distributed at each height of the test pieces. The stiffness of the column decreased with the increase in height and width ratio, and the varying trend between them obeys exponential distribution. The displacement that corresponds to the ultimate load increased with the increase in the height-width ratio, and the increasing trend follows a linear relationship with the change in column height.
Determination of Tropifexor in Beagle Dog Plasma by UPLC-MS/MS and Its Application in Pharmacokinetics
Authors: Su Yan-Ding , Wei Xin-Yi , Su Xiao-Hang , Woshur Ghulam , Geng Xiao-Nan , Qiu Xiang-Jun
Published: September 2022

The primary objective of this study was to develop and validate an efficient and accurate ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) approach as a means to detect tropifexor plasma concentrations in beagle dogs and to study its pharmacokinetic profile in beagle dogs. The chromatographic separation of tropifexor and oprozomib (internal standard, ISTD) on the column, with the addition of acetonitrile for rapid precipitation and protein extraction, was achieved with 0.1% formic acid aqueous solution-acetonitrile for the mobile phase. A Xevo TQ-S triple quadrupole tandem mass spectrometer, under the selective reaction monitoring (SRM) mode, for the determination of the concentrations in the positive ion mode. The mass transfer pairs of tropifexor and oprozomib (ISTD) were m/z 604.08 ⟶ 228.03 and m/z 533.18 ⟶ 199.01, respectively. The profile displayed well linearity with calibration curves for tropifexor and oprozomib (ISTD) ranging from 1.0 to 200 ng/mL. In parallel, the lower limit of quantification (LLOQ) value for tropifexor could be measured with the aid of this novel technique at 1.0 ng/mL. In addition, the scope of intraday and interday for analyte accuracy was between −4.86% and 1.16%, with a precision of <7.31%. The recoveries of the analytes were >88.13% and were free of significant matrix effects. The stability met the requirements for the quantification of plasma samples under various conditions. Finally, the pharmacokinetic profile of tropifexor in beagle dog plasma following oral administration of 0.33 mg/kg tropifexor was determined by using the method facilitated in this work.
Stress and Strain State Analysis of Crack Front in Dissimilar Metal Welded Joints with Dual Field of Mechanical Heterogeneity and Residual Stress
Authors: Zhang Shun , Xue He , Zhang Yubiao , Zhao Kuan , Zhang Jiaqing
Published: September 2022

The micro-mechanical state at the crack front is one of the key factors affecting the stress corrosion cracking (SCC) growth behavior. The mechanical heterogeneity and residual stress in the dissimilar metal welded joint (DMWJ) induce the micro-mechanical state at the crack front to become more complex. The sandwich model and dual-field model of the DMWJ with inner surface axial crack were established in this study. The stress and strain states at the crack front with different crack locations and lengths under the interaction of the mechanical property and the residual stress were investigated. The results show that a more accurate evaluation of stress and strain states can be obtained when using the dual-field model to describe the material mechanical property and residual stress of the DMWJ. The sandwich model overestimates the crack driving force including the stress and strain at the crack front. The tensile stress in the middle of shallow cracks is smaller than that at both ends, while the tensile stress in the middle of deep crack is larger than that at both ends. The variation trend of the tensile stress and normal strain at the crack apex is basically the same as that of the residual stress with the crack depth. However, there is almost no normal plastic strain in the initial stage of crack propagation due to the small residual stress in the initial stage.
Activated Partial Thromboplastin Time and Mortality in Coronary Artery Bypass Grafting Patients
Authors: Zhang HuanRui , Tian Wen , Qi Guoxian , Sun Longfeng , Wei Xiufang
Published: September 2022

Background. To evaluate the prognostic value of preoperative activated partial thromboplastin time (APTT) in patients who underwent coronary artery bypass grafting (CABG). Methods. All data were extracted from the Medical Information Mart for Intensive Care III (MIMIC-III) database. The study population was divided to two groups according to the optimal cut-off value of APTT calculated by X-tile software, and Cox proportional hazard model was used to define independent effect of APTT on 4-year mortality. Survival curves were estimated by the Kaplan-Meier method, and the area under the receiver-operating characteristic curve (AUC) was calculated to compare APTT with other severity scores. Propensity score matching (PSM) analysis were applied to ensure the robustness of this study. Results. A total of 2,706 patients were included. The optimal cut-off value of APTT for 4-year mortality was 44 seconds. The Cox proportional hazard model showed that patients with

APTT
≥
44

had a significantly higher risk of all-cause death than those with

APTT
<
44

both before (HR (95% CI), 1.42 (1.16-1.74),

P
<
0.001

) and after PSM (HR (95% CI), 1.47 (1.14-1.89),

P
=
0.003

). The survival curves showed that patients with longer APTT had a significantly lower 1-year and 4-year cumulative survival probability. The ROC of APTT combined with other severity scores significantly increased predictive ability for 1-year and 4-year mortality. Conclusions. A longer APTT (≥44) was associated with a higher risk of mortality and can serve as a prognostic predictor in CABG patients.
Handwashing Practice among Elementary Schoolchildren in Urban Setting, Mongolia: A School‐Based Cross‐Sectional Survey
Authors: Enkhbat Munguntuul , Togoobaatar Ganchimeg , Erdenee Oyunchimeg , Katsumata Asako Takekuma
Published: September 2022

Objectives. Handwashing with soap is the simplest, most affordable, and cost‐effective preventative intervention for reducing the burden of communicable diseases, including the COVID‐19. This study was aimed at investigating elementary schoolchildren’s handwashing practice at two critical moments, namely, before eating and after using the toilet and its associated factors. Methods. The cross‐sectional study was conducted at ten public secondary schools in Ulaanbaatar, Mongolia, between February and March 2019. Data were collected from all fifth‐grade children’s parents at the selected schools by using a self‐reported questionnaire. Descriptive and multiple regression analyses were conducted using STATA/MP version 13.0. Results. A total of 1507 parents/guardians of 5th‐grade school children participated. Reported schoolchildren’s handwashing practice for both critical moments was 50.1%. It was significantly associated with female gender (adjusted odds ratio [AOR] = 0.56 (95%CI = 0.45, 0.70)), number of siblings (AOR = 0.72 (95%CI = 0.61, 0.80)), and availability of handwashing amenity at school (AOR = 1.1595%CI = 0.86, 1.42)). Only 34% of children wash their hands with soap at school, and the most common reasons for skipping handwashing were an absence of soap (23.9%), lack of sink (14.5%), and the use of hand sanitizer (19.7%). Conclusions. The school children’s handwashing practice at two critical moments is considerably low. The main disabling factors of regular handwashing at school included insufficient handwashing facility and soap. Therefore, promoting HW facilities and innovative and participatory education for elementary schoolchildren should be prioritized.
Every Cloud Has a Silver Lining: Protection and Development of World Heritage Sites
Authors: Lin Bie-Yu , Wang Shi-Xiao
Published: September 2022

The production of services and goods needs consumption of available material and energy. An economy often focuses on sources of high-quality material/energy first produced by nature for increasing growth. World heritages sites (WHSs) have become major tourist attractions that promote economic development for developing countries. The increased number of tourists has thus brought about threats to ecological environment. Scholars stress that it should be sustainable or “green growth” since it comes to economic growth currently. The aim of this research is to establish a sustainable development model for WHSs to empirically investigate the dilemma between economic development and ecological protection with particular emphasis on strategies that promote the sustainability. The study took China’s 45 WHSs as samples and constructed a two-stage sustainable development model to analyze the trade-off between economic development and ecological protection. The dynamic network slacks-based measure was employed for dynamic performance evaluation for the period 2013-2019. The results suggest that a strong balance between economic development and ecological protection would be essential for sustainability. Spearman’s rank correlation was also used to verify that there are no conflicts between the two processes. In addition, this study demonstrates that an effective government policy covering regulations of economic development and ecological protection can positively influence sustainable development. The governments are suggested to improve the section that the WHS performs inefficient. Involvement of balanceable sustainable development for WHSs needs necessary cooperation during concerned institutions, practitioners, and communities. The WHSs are recommended to receive strict standard of supervision, management, and control.
ASPM, CDC20, DLGAP5, BUB1B, CDCA8, and NCAPG May Serve as Diagnostic and Prognostic Biomarkers in Endometrial Carcinoma
Authors: Zhang Qiaoling , Wang Yingmei , Xue Fengxia
Published: September 2022

Uterine Corpus Endometrial Carcinoma (UCEC), the most common gynecologic malignancy in developed countries, remains to be a major public health problem. Further studies are surely needed to elucidate the tumorigenesis of UCEC. Herein, intersecting 203 differentially expressed genes (DEGs) were identified with the GSE17025, GSE63678, and The Cancer Genome Atlas-UCEC datasets. The Gene Ontology/Kyoto Encyclopedia of Genes and Genomes functional enrichment analysis and protein-protein interaction (PPI) network were performed on those 203 DEGs. Intriguingly, 6 of the top 10 nodes in the PPI network were related to unfavorable prognosis, that is, ASPM, CDC20, DLGAP5, BUB1B, CDCA8, and NCAPG. The mRNA and protein expression levels of the 6 hub genes were elevated in UCEC tissues compared to normal tissues. Higher expression of the 6 hub genes was associated with poor prognostic clinicopathological characteristics. The receiver operating characteristic curve suggested the significant diagnostic ability of the 6 hub genes for UCEC. Then, underlying pathogeneses of UCEC including promoter methylation level, TP53 mutation status, genomic genetic variation, and immune cells infiltration were analyzed. The mRNA expression level of the 6 hub genes was also higher in cervical squamous cell carcinoma and endocervical adenocarcinoma, uterine carcinosarcoma, and ovarian serous cystadenocarcinoma tissues than in corresponding normal tissues. In conclusion, ASPM, CDC20, DLGAP5, BUB1B, CDCA8, and NCAPG may be considered diagnostic and prognostic biomarkers in UCEC.