bluuebunny/crossref_metadata_2025 huggingface dataset:
Gender Inclusion and Fit in STEM
Authors: Schmader Toni
Published: August 2022

Despite progress made toward increasing women's interest and involvement in science, technology, engineering, and math (STEM), women continue to be underrepresented and experience less equity and inclusion in some STEM fields. In this article, I review the psychological literature relevant to understanding and mitigating women's lower fit and inclusion in STEM. Person-level explanations concerning women's abilities, interests, and self-efficacy are insufficient for explaining these persistent gaps. Rather, women's relatively lower interest in male-dominated STEM careers such as computer science and engineering is likely to be constrained by gender stereotypes. These gender stereotypes erode women's ability to experience self-concept fit, goal fit, and/or social fit. Such effects occur independently of intentional interpersonal biases and discrimination, and yet they create systemic barriers to women's attraction to, integration in, and advancement in STEM. Dismantling these systemic barriers requires a multifaceted approach to changing organizational and educational cultures at the institutional, interpersonal, and individual level.
The Construction of a Prediction Model for the Teaching Effect of Two Courses Education in Colleges and Universities Based on Machine Learning Algorithms
Authors: Pei Cancan
Published: August 2022

In this era of machine learning being applied to various fields, its use in college Two courses education has gradually become the next outlet. The reform and innovation based on machine learning is an upgrade that must be carried out in Two courses education. In this experiment, the purpose of predicting the effect of Two courses classroom teaching is achieved by rationally using the Apriori algorithm in the machine learning algorithm to construct a prediction model. After modeling and verification, it has been shown the prediction model of Two courses classroom and extracurricular teaching effect using the machine. Apriori algorithm technology can enhance the participation and interaction of Two courses education, stimulate the interest of college students in Two courses education, and improve their enthusiasm. The selection and basic information of Apriori algorithm and the prediction for practical application have been studied. The accuracy of the prediction model is investigated. Compared with the logistic regression algorithm, it is concluded that the model established by the Apriori algorithm selected in this experiment has higher accuracy. Finally, the prediction model is organically integrated into the Two courses of a university carefully selected by the experiment. After a semester of intensive use, and then algorithm effects, the difference in accuracy is no more than 2%, far better than the expected 6%.
Construction and Application of iWrite Artificial Intelligence Evaluation System for College English Writing
Authors: Jian Lili
Published: August 2022

The traditional English writing evaluation is an artificial way to judge, which is a relatively subjective evaluation method. Also, the artificial method has the defects of low timeliness and high error rate, which limits the interest of college students in English learning. If the content of college students’ English writing cannot be judged, it also limits their understanding of the correctness of the English language, because English writing can reflect problems such as English grammar, sentence structure, and emotional expression. Artificial intelligence (AI) technology has developed rapidly, and it can efficiently process the data of research objects. If artificial intelligence technology is combined with English writing evaluation, it can improve the timeliness and error rate of college students’ English evaluation. This is also an innovative way of judging college students’ English writing. Combining the characteristics of great learning English writing and judging criteria, this research uses artificial intelligence technology to design an efficient judging platform. It needs to use a convolutional neural network (CNN) and long-short-term memory (LSTM) neural network to extract features of grammar, sentence patterns, and emotional expressions of college students’ English writing. The research results show that CNN and LSTM methods have high feasibility and accuracy in extracting grammar, sentence patterns, and emotional expressions of college students’ English writing. The prediction error of the college students’ English writing evaluation system is also within a reasonable range. CNN and LSTM methods have high accuracy in predicting English rectangle, grammar, and emotional expression, and the largest prediction error is only 2.91%. Also, the three prediction errors are distributed within 3%.
Health Care Intervention Measures for the Elderly under the Smart Sports Rehabilitation Mode under the Background of Big Data
Authors: Tang Haiou , Dai Zhipeng
Published: August 2022

With the aging of the population becoming more and more serious, the health care intervention mechanism for the elderly has also attracted the attention of many scholars. With the rapid development of social economy, intelligent medical treatment, intelligent sports rehabilitation, and other security means have become the main ways to help the elderly improve their health. This paper studies the health assessment and health care intervention measures of the elderly based on the intelligent sports rehabilitation model under the background of big data. First of all, from the security problems faced by the elderly medical care, this paper analyzes the impact of intelligent sports rehabilitation on the elderly medical care. Adopt big data analysis and data mining technology to calculate and evaluate the health index of the elderly and establish a multidimensional machine evaluation system to provide data sources for the intelligent sports rehabilitation model. Secondly, combine the Internet of Things with intelligent sports medicine to build a rehabilitation assistant robot model. Finally, from the perspective of physical function, this paper analyzes the degree of health medical intervention of the intelligent sports model on the elderly and puts forward targeted optimization measures. Research shows that in the intelligent sports rehabilitation model, the health index of the elderly is closely related to sports activities. The sports rehabilitation auxiliary machine constructed with big data technology can effectively improve the medical intervention ability and has obvious effect in practical application.
Investigation of Insulation Properties Using Microwave Nondevastating Methodology to Predict the Strength of Polymer Materials
Authors: Gopalan Anitha , Ramesh S , P Nirmala , Ramkumar Govindaraj , Sahoo Satyajeet , Agnes Shifani S. , Jayadhas S. Arockia
Published: August 2022

The study was extended and developed to predict the roughness of polymer-based materials using the latest data mining techniques. Different types of particles are used in polymer-based materials, which characterize the roughness of polymer-based materials. The research study focused on predicting the roughness of bulk polymer materials using fly ash. Fly ash is an alternative material that is used to replace both cement and fine aggregate to some extent. Particles such as silica fume, limestone, and slag have been used in place of concrete, but flash has received more attention than other elements. It is important to express the insulation properties of polymer materials using the microwave nondevastative method. Finally, this article concludes by predicting the strength of polymer materials by measuring insulation properties using the microwave nondevastative method.
Construction of Digital Marketing Recommendation Model Based on Random Forest Algorithm
Authors: Gao Weiji , Ding Zhihua
Published: August 2022

The traditional marketing model can no longer meet the needs of users and can not add more benefits to the enterprise, and digital marketing came into being. At present, most of the marketing focus of various enterprises is still mainly on products, and the reflection arc to market changes is long. Therefore, the formulation of marketing activities should always pay attention to changes in user needs and combine corresponding activity planning, product planning, brand building, etc., according to Changes in the target market adjust the content of marketing activities and products in real-time and, at the same time, pay attention to user feedback on products in order to iteratively update products in time, improve product market competitiveness, and optimize the user experience. In this paper, through the study and research of the traditional random forest method and some data processing algorithms, the feature selection and class imbalance problems of random forest are improved, respectively. Through the study of feature selection methods, we can maintain a balance between feature strength and relevance during feature selection and improve the final model classification effect. And through the research and experiment of the imbalanced data classification problem and the random forest algorithm, the method of the random forest model to deal with the imbalanced problem has been improved. After experimental calculation and analysis, it is found that for the effect of the minimum number of samples required for node splitting with different numbers, the best results are obtained when 2 samples are taken as the minimum number of samples required for node splitting, and the average value of the F1 evaluation is 0.1038; for different specifications, the effect of the random forest is the best using the Gini index, and the average value of its F1 evaluation is 0.1033; for the effect analysis of random forests with different numbers of trees, 7 to 10 decision trees are the best, and the F1 evaluation is the best. The average is 0.10175.
Study of the Significance of Thromboelastography Changes in Patients with Dyslipidemia
Authors: Lin Qing , Yang Guokai , Ruan Jingming , Yu Peng , Deng Chaochao , Pan Weitao
Published: August 2022

Purpose. To investigate the changes in thromboelastography (TEG) in patients with dyslipidemia to study its effect on the blood coagulation status. Methods. 131 patients hospitalized in Fujian Provincial Jinshan Hospital from January 2018 to December 2020 were selected, and 64 cases in the hyperlipidemia (HL) group and 67 cases in the non-HL group were set according to whether their blood lipids were abnormal. By measuring the changes of each parameter of TEG in patients, the relevant parameters R value, K value, α angle, and MA value were calculated. And routine blood coagulation (PT, APTT, INR, FIB, and TT) and routine blood (platelet count) tests were performed on all study subjects to analyze the changes of each index of the coagulation function and each parameter of TED in both groups and explore the clinical value of TEG on HL diseases. Results. Compared with the non-HL group, R and K values decreased, and angle and MA values increased in the HL group (

P
<
0.05

). PT, APTT, and INR values decreased, and FIB values increased in the HL group compared with the nonhyperlipidemic group (

P
<
0.05

). The TT levels were similar in the non-HL group and the HL group (

P
>
0.05

). Compared with the non-HL group, PLT values decreased, and PDW and MPV values increased in the HL group (

P
<
0.05

). R value was positively correlated with APTT, r= 0.373,

P
=
0.002

. K value was negatively correlated with PLT, r= −0.399,

P
=
0.002

. α angle and MA values were positively correlated with PLT, r= 0.319/0.475,

P
=
0.010

/

P
<
0.001

. The rest of the indexes did not correlate with each parameter of TEG significant correlation. Conclusion. TEG can predict the hypercoagulability and hypocoagulability of blood by the changes of R value, K value, α angle, and MA to evaluate the effect of hyperlipidemia on the coagulation status, which is important for guiding the adjustment of lipid-lowering, antithrombotic, and anticoagulation programs in patients with atherosclerosis combined with hyperlipidemia or postsurgery combined with hyperlipidemia.
Mental Health Assessment of Post-00s College Students Based on Knowledge Network
Authors: Hu Shengyao
Published: August 2022

The problem of college students’ mental health has become a hot research topic in the world. College students, as a new social force in the future of our country, has become an important challenge to quickly evaluate the mental health of college students, accurately understand the psychological state of college students, and take targeted measures to improve the level of college students’ mental health. To study college students’ mental health problem, based on medical university students after 00 as the research object, using literature analysis and relevant literature of college students’ mental health were analyzed, and the knowledge network mapping to reveal college students’ mental health research content and research hot spot, at the same time, use the symptom self-assessment scale knowledge network analysis method, carries on the analysis, to evaluate the mental health of post-00s college students in China by combining visual research and theoretical statistical research. The results show that through citation analysis software cite space retrieval of relevant literature, combined with the symptom self-rating scale SCL-90, college students have serious mental health problems accounted for 14%, and the overall mental health status is general; college students’ mental health has no correlation with gender and major, and there is no significant difference between hostile and paranoid emotions and gender and subject type, but there is a significant difference between interpersonal relationship, anxiety, depression, terror, mental illness and gender, and depression and anxiety, and interpersonal relationship and psychosis have a great correlation. All mild and severe symptoms were closely related; knowledge network method combined with traditional statistics is used to better evaluate the psychological state of post-00s college students, and the evaluation results are relatively complete. The research results provide theoretical guidance for college students to carry out psychological health education and counseling.
Data Mining and Video Target Detection-Based Analysis of Martial Arts Cultural Communication and Martial Arts Athletes’ Posture
Authors: Ma Zhen , Ma Yanping
Published: August 2022

With the continuous deepening of economic globalization and the continuous development of Internet big data, the spread of martial arts culture has attracted people’s attention. The advent of the Internet big data era has brought new opportunities and media for the dissemination of martial arts culture but also brought certain risks and challenges. This paper firstly uses the literature method, logical analysis method, and related theories of communication, with the help of the SWOT strategic analysis method, to analyze the internal advantages and disadvantages faced by martial arts culture communication itself, as well as the external opportunities in the context of the Internet big data era and challenges. In order to realize the target detection and tracking task of Martial athletes, this paper proposes a target detection and tracking algorithm for Martial athletes. First, the algorithm constructs and trains a fully CNN-based athlete target detection model, which can detect the first frame of athlete targets in martial arts competitions or martial arts training videos. Experiments show that the athlete positioning information output by the detection model and the video frame sequence are jointly input into the athlete target tracking module based on neighborhood similarity, so as to realize the target tracking of martial arts athletes.
Imaging Diagnosis of Primary Solitary Bone Neoplasts and Its Comparison with Tumor-like Lesions
Authors: Wei Xuying , Zheng Wenxin , Tang Wencai
Published: August 2022

Objective. To explore the imaging diagnostic value of primary solitary bone tumor and tumor-like lesion of iliac crest. Methods. A total of 156 patients with primary solitary bone tumors and tumor-like lesions of the iliac bone treated in our hospital were selected, and the patients were diagnosed by X-ray, CT, and MRI. Sexual analysis of single diagnostic and combined diagnostic value was carried out. Results. Round high-density shadow, soft tissue mass shadow, soft tissue mass, right intestinal tube, and bladder obvious pressure were observed. The detection rates of giant cell tumor of bone, myeloma, osteochondroma, chondroma, eosinophilic granuloma, osteosarcoma, fibrous dysplasia, and Hodgkin lymphoma were 34.6%, 12.8%, 11.5%, 10.3%, 7.7%, 6.4%, 3.8%, and 2.6%, and the differences were statistically significant (P < 005); X-ray, CT, MR single diagnostic comparison, three methods joint diagnostic missed diagnosis rate and misdiagnosis rate, higher detection rate (

P
<
0.05

); combined with X-ray, CT, MR single diagnosis, three methods joint diagnosis sensitivity, specificity, accuracy, statistical significance (

P
<
0.05

); comparison with X-ray, CT, MR single diagnosis, three methods jointly diagnosed positive predictive value, negative predictive value higher, difference statistics significance (

P
<
0.05

); there is a significant difference in the near-end, backbone, and distal detection rate of different bone tumors and tumor lesions, including the humerus and tibia. There is a statistical significance of the detection rate, and the difference is

P
<
0.05

. Conclusion. X-ray plays an important role in the diagnosis of primary solitary bone tumor and tumor-like lesion of iliac crest and is the first choice in clinical diagnosis. In the diagnosis of tumor disease, range, and soft tissue mass, MRI and CT diagnostic value can provide effective theoretical basis for patient clinical treatment. Therefore, the appropriate diagnostic method should be selected according to the specific situation of the patient, so that the efficiency of the clinical feature is improved.
Oocyte Retrieval in Asymptomatic Patients Positive for SARS-CoV-2
Authors: Akers Allison , New Erika P. , Plosker Shayne , Silva Celso P. , Sprague Rachel , Imudia Anthony N.
Published: August 2022

Objective. To report two cases of oocyte retrieval performed in asymptomatic SARS-CoV-2-positive patients. Design. Case report. Setting. Outpatient private practice infertility center. Patients. A 28-year-old woman at risk for OHSS who took her trigger injection prior to testing positive for SARS-CoV-2 and a 19-year-old oncofertility patient who tested positive prior to retrieval due to a family exposure. Both patients were asymptomatic. Main Outcome Measures. Cycle outcomes, patient safety, and staff safety. Results. Both patients underwent successful oocyte retrieval procedures without developing symptoms or complications from COVID-19. No staff members that cared for these patients developed symptoms of COVID-19. Conclusion. Worsening fertility outcomes and potential for psychological and financial burdens to the patient must be balanced with risk of perioperative complications in patients testing positive for SARS-CoV-2. As we continue to provide fertility care in a world with COVID-19, appropriate risk mitigation strategies should be implemented to minimize exposure to SARS-CoV-2.
Identification of miRNA-mRNA Pairs in Relation to TNF-α/IL-1β Induced Inflammatory Response in Intervertebral Disc Degeneration
Authors: Wei Ye , Chen Yulin , Su Han , Ling Chunyan , Huang Guangtian , Wang Dongling , Chen Guanghui
Published: August 2022

Objective. The determination of miRNA-mRNA pairs for intervertebral disc degeneration (IVDD) regulated by pro-inflammatory cytokines were investigated. Methods. Two dataset (accession number GSE27494 and GSE41883 from platform GPL1352) of expression profiling was downloaded from Gene Expression Omnibus (GEO). The annulus cells were isolated from annulus fibrosus in patients with degenerative disc disease. The cells were then cultured in a three-dimensional (3D) collagen containing with/without proinflammatory cytokines (tumor necrosis factor alpha (TNF-α) or interleukin beta (IL-1β)). After being cultured for 14 days, the isolated total RNA was analyzed via microarray, and the expression array data were obtained using BRB-Array Tools followed by analyzing the differentially expressed genes (DEGs) and the prediction of potential miRNA targets of hub genes through online database. Results. Firstly, 52 and 296 DEGs were found in IL-1β- and TNF-α-induced annulus cells, respectively, of these there had 42 common DEGs (co-DEGs) with 34 increased transcripts and 8 reduced ones. Based on the GO and KEGG software, these co-DEGs were mainly enriched in the response to lipopolysaccharide (LPS) and molecule of bacterial origin, the regulation of receptor ligand activity and signaling receptor activator activity, as well as the following signaling pathways, including TNF signaling pathway, IL-17 signaling pathway, and NF-κB signaling pathway. Top hub genes (CXCL1, CXCL2, CXCL8, IL1Β and PTGS2) regulated by several potential microRNAs were involved in TNF-α/IL-1β treated annulus cells. Conclusions. Several candidate genes regulated by miRNAs caused by TNF-α/IL-1β in the annulus cells were found, which will guide diagnosis and treatment for degenerative disc disease.
A Meta-Analysis to Detect Efficacy of Physical Activity Interventions to Enhance Effects Related to the Fragility among Older Adults
Authors: Xi Ping , Ding Jingyun , Wan Shandan , Zheng Zixiu , Zhao Yunxiao , Xiao Xiaohua , Yu Cong
Published: August 2022

Background. The role of physical activity is well-known to intercept the condition of fragility and decrease its outcomes. This study aimed to determine the efficacious physical activity intervention measure which enhances the outcomes associated to fragility in the older adults. Material and Methods. We searched MEDLINE, Cochrane Central Register of Controlled, and EMBASE for the published studies in the duration June 2000 to February 2020 which were further shortlisted as per the inclusion and exclusion criteria of the study. The elder population considered from the selected studies was considered in an age of 65 years or more who were pre-fragile or fragile. Here, we included the clinical as well as randomized control trials. Results. After extracting the data, we measured the risk ratio for aerobic intervention for physical intervention group as 0.55 [95% confidence interval (C.I) as 0.29, 1.03], mobility/rehabilitation interventions were nonsignificant for both groups with reported risk ratio as 1.13 (95% C.I as 0.96, 1.33), muscular strength randomized control trails as a significant integrated outcome estimate over the mobility measure, where the risk ratio was obtained as 1.17 (95% C.I 1.00, 1.35), for the randomized control trials of the mixed interventions showed a significant integrated outcome over the measures of mobility with obtained risk difference 0.03 (95% C.I -0.03, 0.09) and significant effects for daily life activities for intervention group with odds ratio 0.98 (95% C.I was 0.68, 1.41). Conclusion. From the conducted systematic review and meta-analysis, we determined a low to medium authentication that different physical activities interventions are considered to be advantageous for the pre-fragile as well as the fragile elderly people. The studies are required to be more comprehensive and clear about defining the fragility so as to assure the determination and performing of such interventions into a clinical execution.
[Retracted] Expression Levels and Clinical Significance of Serum miR‐497, CEA, CA24‐2, and HBsAg in Patients with Colorectal Cancer
Authors: Liu Yan , Chen Jie
Published: August 2022

The objective of the current study was to look at the levels of blood micro ribonucleic acid‐ (miR‐) 497, carcinoembryonic antigen (CEA), carbohydrate antigen (CA) 24‐2, and hepatitis B surface antigen (HBsAg) in patients with colorectal cancer (CRC), as well as the clinical importance of these markers in CRC patients. The serum levels of miR‐497, CEA, CA24‐2, and HBsAg were compared between 60 patients with CRC (observation group) and another 60 patients with colorectal polyps (control group). The 4 indicators in patients with lymph node metastasis and liver metastasis were compared. The diagnostic effects of 4 detection methods and the combined detection were analyzed, and the influence of 4 indicators on the 5‐year cumulative survival rate of patients was discussed. The results showed that the serum levels of miR‐497 and HBsAg were lower, and the levels of CEA and CA24‐2 were higher in the observation group (P < 0.05). The combined detection had the best diagnostic effect, and CEA alone had the best prediction effect. The serum level of miR‐497 was significantly lower in patients with lymphatic metastasis, with the significantly higher levels of CEA and CA24‐2 (P < 0.05). The HBsAg level of patients with liver metastases was greatly lower than that of patients without liver metastases (P < 0.05). The 5‐year cumulative survival rate of patients with high levels of CEA and CA24‐2 was significantly lower than that of patients with low level of CEA. The 5‐year cumulative survival rate was lower in patients with low level of HBsAg, but the difference was small. The 5‐year cumulative survival rate of patients with elevated serum miR‐497 was observably lower. In conclusion, combined detection could diagnose CRC more accurately. Serum miR‐497, CEA, and CA24‐2 were important in the diagnosis of lymph node metastasis of CRC. HBsAg did a better job of predicting liver metastases in CRC patients. High level of CEA significantly reduced the cumulative survival rate of CRC patients and could predict the long‐term survival rate of patients. Serum levels of miR‐497, CEA, CA24‐2, and HBsAg played a positive role in the diagnosis and evaluation of CRC and could identify lymph node and liver metastases, having a high clinical guidance value.
Investigation of Strongyle Prevalence and Associated Risk Factors in Horses in and around Alage District, Ethiopia
Authors: Alemayehu Mulugeta Tesfaye , Abebe Belete Kuraz , Haile Sharew Mekonnen
Published: August 2022

Background. Horses are used for a variety of purposes in Ethiopia. However, their service is hampered by a variety of health issues. Strongylosis is a parasitic infestation of the gastrointestinal tract that has a significant impact on the working ability, reproductive performance, well-being, and welfare of horses. The existence of Strongylosis in the study area is reported from clinical cases; however, its prevalence has not been well studied. Objective. The current study was carried out from January 2019 to July 2019, to determine the prevalence and associated risk factors of Strongyle in horses in and around Alage district. Methods. A cross-sectional study design was used, and 384 horses were sampled from three peasant associations inseparably. The floatation technique was used in laboratory analysis. Result. Strongylosis was discovered in 67.19 percent of the cases. In Naka, Dilbato, and Koricho peasant associations, the infestation magnitudes were 64.1%, 68%, and 69.5%, respectively. The increased level of animal-related prevalence was observed in male (68.1 percent), young (84.4 percent), and poor body condition (90 percent) horses. Age and body condition scores were statistically significant associations with the disease under study at

p
≤
0.000

. While sex and peasant associations did not predict the problem significantly (

p
≤
0.05

), young horses and horses in poor and medium body conditions are 4.66 (CI: 2.22–9.76), 9.63 (CI: 3.77–24.63), and 1.93 (1.03–3.60) times more likely to be infected with Strongylosis, respectively. Conclusions. The occurrence of Strongylosis is determined independently by age and BCS. Strongyle infestations are common in horses in the study area, posing a significant barrier to horse production and well-being. As a result, appropriate disease prevention and control measures should be implemented.
Single-Cell Transcriptome Analysis Defines Expression of Kabuki Syndrome-Associated KMT2D Targets and Interacting Partners
Authors: Enkhmandakh Badam , Robson Paul , Joshi Pujan , Vijaykumar Anushree , Shin Dong-Guk , Mina Mina , Bayarsaihan Dashzeveg
Published: August 2022

Objectives. Kabuki syndrome (KS) is a rare genetic disorder characterized by developmental delay, retarded growth, and cardiac, gastrointestinal, neurocognitive, renal, craniofacial, dental, and skeletal defects. KS is caused by mutations in the genes encoding histone H3 lysine 4 methyltransferase (KMT2D) and histone H3 lysine 27 demethylase (KDM6A), which are core components of the complex of proteins associated with histone H3 lysine 4 methyltransferase SET1 (SET1/COMPASS). Using single-cell RNA data, we examined the expression profiles of Kmt2d and Kdm6a in the mouse dental pulp. In the incisor pulp, Kmt2d and Kdm6a colocalize with other genes of the SET1/COMPASS complex comprised of the WD-repeat protein 5 gene (Wdr5), the retinoblastoma-binding protein 5 gene (Rbbp5), absent, small, and homeotic 2-like protein-encoding gene (Ash2l), nuclear receptor cofactor 6 gene (Ncoa6), and Pax-interacting protein 1 gene (Ptip1). In addition, we found that Kmt2d and Kdm6a coexpress with the downstream target genes of the Wingless and Integrated (WNT) and sonic hedgehog signaling pathways in mesenchymal stem/stromal cells (MSCs) at different stages of osteogenic differentiation. Taken together, our results suggest an essential role of KMT2D and KDK6A in directing lineage-specific gene expression during differentiation of MSCs.
Effectiveness and Safety of High-Power Radiofrequency Ablation Guided by Ablation Index for the Treatment of Atrial Fibrillation
Authors: Zhu Xuefeng , Wang Chunxiao , Chu Hongxia , Li Wenjing , Zhou Huihui , Zhong Lin , Li Jianping
Published: August 2022

Background. To investigate the efficacy and safety of ablation index- (AI-) guided high-power radiofrequency ablation in the treatment of atrial fibrillation (AF). Methods. Outcomes of radiofrequency (RF) applications were compared in a swine ventricular endocardial model (

n
=
10

each for 50 W, 40 W, and 30 W;

AI
=
500

). And a total of 100 consecutive patients with paroxysmal AF undergoing pulmonary vein isolation (PVI) were included. The patients were divided into two groups (

n
=
50

for each) as follows: control group, treated with conventional power (30 W) ablation mode; and study group, treated with high power (40 W) radiofrequency ablation mode. All groups were treated with the same AI value guided the ablation (

target
 
AI
=
400
/
500

on posterior/anterior wall, respectively). Acute pulmonary vein (PV) reconnection was assessed post adenosine administration 20 minutes after ablation. Subsequently, pathological observation of porcine heart lesions and necrotic tissue was performed. Additionally, statistical analyses were carried out on patients’ baseline clinical characteristics, surgical data, and total RF energy. Results. In swine ventricular endocardial RF applications, compared with 40 W and 30 W, the use of 50 W was associated with shallower tissue lesion depth (

p
<
0.001

) and greater lesion maximum diameter (

p
<
0.001

). Compared with 40 W and 30 W, tissue necrosis caused by 50 W was the deepest and largest (

p
<
0.001

). In pulmonary vein isolation (PVI), there was no significant difference in baseline data between the study group and control group (

p
>
0.05

). In patients with paroxysmal atrial fibrillation, the procedure time in the high-power group was significantly shortened (

p
<
0.001

). The ablation time was significantly shorter (

p
<
0.001

). Compared with control group, RF energy per point and acute pulmonary vein (PV) reconnection were lower (

p
<
0.001

), and first-pass PVI was higher (

p
<
0.01

) in study group. There were no significant differences in complications and sinus rhythm maintenance at 12 months between the two groups (

p
>
0.05

). Conclusions. Compared with conventional (30 W) PVI, AI-guided high-power (40 W) was safe and associated with shorter procedure time and reduced acute PV reconnection.
The Accessibility of Educational Public Service Facilities with Two-Step Mobile Search Taking Hetao District of Ganzhou City as an Example
Authors: You Xibin , Fu Yuanfang , Liu Tingting
Published: August 2022

By using the two-step mobile search method of time and distance cost combined with Internet map data, taking the old urban district of Ganzhou city as research object, the spatial accessibility of primary and secondary schools from residential sites to residential areas was studied. The research shows that the reachability of primary and secondary schools in the old urban district of Ganzhou city is low, and most of the population fails to enjoy better education resources and the spatial distribution of education resources is not balanced. The reachability of primary education resources is high in geospatial area. The gathering area is the intersection of Ganjiang Street and Jiefang Street. The low-value areas are mainly the southwestern part of Nanwai Street and the northwestern area of Dongwai Street. The reachability of education resources shows a decreasing trend from the center to the surrounding areas. The education resources are concentrated in Ganjiang Street. Compared with traditional methods, the two-step mobile search method using Internet map data can more effectively and accurately reflect the accessibility of residential areas to primary and secondary schools in real time and can obtain the real conditions of traffic and roads more conveniently and also more accurat data acquisition.
Informatization of Accounting Systems in Small- and Medium-Sized Enterprises Based on Artificial Intelligence-Enabled Cloud Computing
Authors: Zhao Jingjie , Zhang Liming , Zhao Yue
Published: August 2022

Against the backdrop of China’s growing market economy, small- and medium-sized enterprises (SMEs) have taken advantage of this opportunity to develop rapidly. At present, SMEs have become an important part of the market economy. Accounting system information management system is an advanced form of management, and improving the degree of accounting information is the key to improving the management mode of SMEs. This study applies cloud computing to enterprise accounting management systems. The results show that realizing SME accounting information management can effectively improve economic settlements. With the development of cloud computing, its improvement of accounting management efficiency cannot be ignored. Besides, the risks of accounting informatization, enterprises can make their development by establishing a secure network protection wall and relying on strict relevant laws and regulations.
Clinical Effect of Apatinib Mesylate Tablets Combined with Paclitaxel Concurrent Radiotherapy and Chemotherapy in the First-Line Treatment of Locally Advanced Nasopharyngeal Carcinoma
Authors: Zhan Dechao , Chen Zihong , Yang Donghong , Wen Jiyu , Liu Wanwan
Published: August 2022

Objective. To explore the clinical efficacy and safety of apatinib combined with paclitaxel in the first-line treatment of locally advanced nasopharyngeal carcinoma. Methods. From March 2016 to June 2018, 114 patients with locally advanced nasopharyngeal carcinoma who received first-line treatment in our hospital were selected as the patient group, and those who received apatinib combined with paclitaxel concurrent radiotherapy and chemotherapy were selected as the research group (n = 54), while those who received paclitaxel concurrent radiotherapy and chemotherapy were selected as the control group (n = 60). Sixty healthy individuals in our hospital were recruited in the same period as the healthy group. The clinical effective rate, adverse reactions, 2-year overall survival rate (OS), 2-year progression-free survival rate (PFS), and quality of life were compared between the two groups, and the expression of miR-655 in the serum of each group was tested by RT-qPCR. Results. The total clinical effective rate of the research group was higher than that of the control group, and the 2-year OS and PFS of the research group were also higher than those of the control group (

P
<
0.05

). Both groups of patients could tolerate the treatment, but the incidence of hypertension and proteinuria in the research group was higher than that in the control group (

P
<
0.05

). The expression of miR-655 in the serum of patients was lower than that of the healthy group (

P
<
0.05

). After treatment, miR-655 in serum increased in both the groups and miR-655 in the research group was higher than that in the control group (

P
<
0.05

). The 2-year survival rate of OS and PFS in patients with low expression of miR-655 was significantly lower than that in patients with high expression of miR-655 (

P
<
0.05

). Conclusion. Apatinib combined with paclitaxel concurrent radiotherapy and chemotherapy is effective and well-tolerated in the treatment of locally advanced nasopharyngeal carcinoma, which improves the quality of life of patients and can be popularized in clinical practice. In addition, the increase of miR-655 may be a target for treating nasopharyngeal carcinoma.
Falling and Drowning Detection Framework Using Smartphone Sensors
Authors: Alqahtani Abdullah , Alsubai Shtwai , Sha Mohemmed , Peter Veselý , Almadhor Ahmad S. , Abbas Sidra
Published: August 2022

Advancements in health monitoring using smartphone sensor technologies have made it possible to quantify the functional performance and deviations in an individual’s routine. Falling and drowning are significant unnatural causes of silent accidental deaths, which require an ambient approach to be detected. This paper presents the novel ambient assistive framework Falling and Drowning Detection (FaDD) for falling and drowning detection. FaDD perceives input from smartphone sensors, such as accelerometer, gyroscope, magnetometer, and GPS, that provide accurate readings of the movement of an individual’s body. FaDD hierarchically recognizes the falling and drowning actions by applying the machine learning model. The approach activates embedding, in a smartphone application, to notify emergency alerts to various stakeholders (i.e., guardian, rescue, and close circle community) about drowning of an individual. FaDD detects falling, drowning, and routine actions with good accuracy of 98%. Furthermore, the FaDD framework enhances coordination to provide more efficient and reliable healthcare services to people.
Identification of Potential Prognostic Biomarkers Associated with Monocyte Infiltration in Lung Squamous Cell Carcinoma
Authors: Liu Hailin , Yan Bo , Chen Yulong , Pang Juan , Li Yue , Zhang Zhenfa , Li Chenguang , Qin Tingting
Published: August 2022

The five‐year survival rate of lung squamous cell carcinoma is significantly lower than that of other cancer types. It is therefore urgent to discover novel prognosis biomarkers and therapeutic targets and understand their correction with infiltrating immune cells to improve the prognosis of patients with lung squamous cell carcinoma. In this study, we employed robust rank aggregation algorithms to overcome the shortcomings of small sizes and potential bias in each Gene Expression Omnibus dataset of lung squamous cell carcinoma and identified 513 robust differentially expressed genes including 220 upregulated and 293 downregulated genes from six microarray datasets. Functional enrichment analysis showed that these robust differentially expressed genes were obviously involved in the extracellular matrix and structure organization, epidermis development, cell adhesion molecule binding, p53 signaling pathway, and interleukin‐17 signaling pathway to affect the progress of lung squamous cell carcinoma. We further identified six hub genes from 513 robust differentially expressed genes by protein‐protein interaction network and 10 topological analyses. Moreover, the results of immune cell infiltration analysis from six integrated Gene Expression Omnibus datasets and our sequencing transcriptome data demonstrated that the abundance of monocytes was significantly lower in lung squamous cell carcinoma compared to controls. Immune correlation analysis and survival analysis of hub genes suggested that three hub genes, collagen alpha‐1(VII) chain, mesothelin, and chordin‐like protein 1, significantly correlated with tumor‐infiltrating monocytes as well as may be potential prognostic biomarkers and therapy targets in lung squamous cell carcinoma. The investigation of the correlation of hub gene markers and infiltrating monocytes can also improve to well understand the molecular mechanisms of lung squamous cell carcinoma development.
A Study on Factors Influencing the Use of Unmanned Driving Technology Based on TAM Model
Authors: Meng Lingxing , Dong Tianyu
Published: August 2022

Unmanned driving technology, as an emerging digital, intelligent technology that is future-oriented, provides practical solutions to a number of transport issues. Compared with traditional manual driving, unmanned driving technology features higher entertainment and conformity, as well as higher risks and new types of cost. To study user acceptance of unmanned driving technology, the paper makes an analysis of statistical significance and regression, with a number of factors as independent variables, including perceived usefulness and perceived ease-of-use (as required by TAM), and perceived enjoyment, perceived risk, perceived cost, and conformity (extension of TAM), and usage intention as dependent variables. The results show the acceptance degree of different factors of driverless technology and provide suggestions for the development of more acceptable driverless functions by users.
A CAN Bus Security Testbed Framework for Automotive Cyber-Physical Systems
Authors: Shi Dongxian , Kou Liang , Huo Chaobin , Wu Ting
Published: August 2022

The popularization of electronic devices and the enrichment of external interfaces have increased the attack surface of the automotive cyber-physical system (CPS). As a vital part of the CPS, the controller area network (CAN) is more vulnerable to security threats due to the lack of corresponding security protection mechanisms. This kind of security problem has also attracted extensive attention from academia and industry. Researchers have proposed numerous intrusion detection models for the in-vehicle CAN bus, solving some security problems to a certain extent. However, vehicle manufacturers seldom disclose the internal details of vehicle ECUs due to safety concerns. Thus, it is difficult for researchers to investigate the operation mechanism of the bus. Meanwhile, there is a risk of personal safety in completing attack experiments on real vehicles, which can also lead to the lack and diversification of in-vehicle network data, especially the data of attack behavior. Based on real vehicle data, an open, adaptable, and low-risk CAN bus security testbed framework in the automotive CPS is proposed in this study, aiming to enrich the operation data of the CAN bus and enhance the personal safety of researchers. Besides, the delay of the testbed sending and receiving periodic and aperiodic CAN messages is theoretically explored. The results demonstrate that the generated timestamp in the dataset is mainly associated with the timestamp of the real vehicle data and that the transmission and collection of time series data are completed by Algorithm 1 and Algorithm 2. In the evaluation of the security testbed, the stability of the security testbed is studied from the two indicators of delay and packet loss rate. The experiment reveals that the testbed has a small relative delay difference and a low packet loss rate. Moreover, the DTW algorithm is employed to calculate the distance between the real vehicle and the testbed, and the experimental results demonstrate that the testbed is featured with high similarity and simulation.
[Retracted] The Status Quo of College Students’ Participation in English Online Learning in the Blended Learning Environment and the Ways to Improve It
Authors: Cai Wanqi
Published: August 2022

In college English teaching, online resources can meet students’ self‐study needs and show them a variety of English knowledge. Teachers should reasonably design teaching according to the characteristics of disciplines, and give students sufficient participation to conduct online self‐study and online training. Therefore, online learning can make full use of students’ spare time. In this paper, the current situation of college students’ participation in online English learning and the ways to improve it are studied under the blended learning environment. The research shows that more than 88% of learners can finish online learning assignments on time. When the number of experiments reaches 60, 42.97% of them can finish online learning assignments on time, 29.51% of them can partially finish online learning assignments on time, and 21.94% of them cannot. In the process of online learning, autonomy and participation are high, and few of them are in a passive state, so they follow up online learning in time. The richness of college students’ English online learning content under the blended learning environment provides a foundation, and college English teachers can optimize the learning content according to their lack of practical knowledge, which greatly improves college students’ participation in online English learning.
Molecular Dynamic Simulation of Crude Oil (SARA) Water Flooding Mechanisms under Different Driving Forces in Oleophilic Pore Channels
Authors: Ma Wenguo , Ma Ruilin , Wang Peng
Published: August 2022

This study investigates the variation of crude oil density distribution with water flooding time for different driving force conditions in the oleophilic pore channel. We used molecular dynamic simulations to analyze the dynamic processes of transport and attachment of crude oil molecules in the pore channel under different driving forces. Oil molecule density distribution pattern during water flooding is of great significance to explore the water flooding mechanism. We studied the oil-water and oil-wall interaction energy. The oil-water interaction energy increased slightly with the increase in the driving forces. The oil-wall interaction energy grew with the increase in the driving forces between 0.001 kcal/(mol·Å) and 0.003 kcal/(mol·Å). When the driving forces increased to 0.004 kcal/(mol·Å) and 0.005 kcal/(mol·Å), the oil-wall interaction energy increased with the increase in the driving forces. After 0.003 kcal/(mol·Å), the oil-wall interaction energy decreases to different degrees. Then, we conducted the RDF analysis to compare the changes of peak value on the RDF between the crude oil and the hydrogen atoms in the wall at distinct moments of time for the three driving forces. We can see that the peak is constant between 5 Å and 6 Å as the driving forces increase. We also analyzed the number density of the crude oil and found that the difference in the number density of the crude oil molecules attached to the two sides of the wall becomes more pronounced as the driving forces are accumulated. The plot of the center-of-mass velocity at different driving forces shows the decrease in center-of-mass velocity as the driving forces increase. We also provided graphs of oil density distribution and the velocity distribution at each moment. Those graphs clearly demonstrated that the side of the wall with more crude oil attached attracts oil droplets; then, the water gradually piled the crude oil up to form oil clusters. High-speed water molecules will strip the oil molecules in the middle of the pore.