bluuebunny/crossref_metadata_2025 huggingface dataset:
An Efficient and Flexible Stochastic CGRA Mapping Approach
Authors: Das Satyajit , Martin Kevin , Peyret Thomas , Coussy Philippe
Published: July 2022

Coarse-Grained Reconfigurable Array (CGRA) architectures are promising high-performance and power-efficient platforms. However, mapping applications efficiently on CGRA is a challenging task. This is known to be an NP complete problem. Hence, finding good mapping solutions for a given CGRA architecture within a reasonable time is complex. Additionally, finding scalability in compilation time and memory footprint for large heterogeneous CGRAs is also a well known problem. In this article, we present a stochastic mapping approach that can efficiently explore the architecture space and allows finding best of solutions while having limited and steady use of memory footprint. Experimental results show that our compilation flow allows to reach performances with low-complexity CGRA architectures that are as good as those obtained with more complex ones thanks to the better exploration of the mapping solution space. Parameters considered in our experiments are number of tiles, Register File (RF) size, number of load/store (LS) units, network topologies, and so on. Our results demonstrate that high-quality compilation for a wide range of applications is possible within reasonable run-times. Experiments with several DSP benchmarks show that the best CGRA configuration from the architectural exploration surpasses an ultra low-power DSP optimized RISC-V CPU to achieve up to 15.28× (with an average of 6× and minimum of 3.4×) performance gain and 29.7× (with an average of 13.5× and minimum of 6.3×) energy gain with an area overhead of 1.5× only.
Aluminum Barrel Plating on Steel Bolts Using Chloroaluminate Ionic Liquids
Authors: Miyake Masao , Kita Takashi , Ikenoue Takumi , Hirato Tetsuji
Published: July 2022

Al electroplating using ionic liquids (ILs) has been extensively studied for various potential applications, including corrosion-resistant coatings. When Al electroplating is to be performed commercially for many small objects, adopting the barrel plating method is reasonable for improving productivity and reducing manufacturing costs. However, little is known about the barrel-plating conditions for the formation of Al coatings. In this study, the barrel plating conditions for forming Al coatings on steel bolts using ILs composed of 1-ethyl-3-methylimidazolium chloride (EMIC) and aluminum chloride (AlCl3) were investigated. Hull cell tests showed that the IL with an AlCl3/EMIC molar ratio of 1.2 has a higher covering power than the IL with a higher AlCl3 ratio. Barrel plating using the IL with an AlCl3 ratio of 1.2 enabled complete coverage of the bolt with the Al coating. The uniformity of the Al coating on the bolts was further improved by adjusting the rotation speed of the barrel. Furthermore, a simple pretreatment procedure for steel bolts was proposed to obtain an electrodeposited Al coat that adheres well to steel bolts.
Nanosized V2CTx with Boosting Super Capacitance via Engineering Alkalization Assisted K+ Interlayer Coordination
Authors: Song Yang , Hu Liwen , Xin Yuntao
Published: July 2022

Although V2CTx MXenes is extremely attractive as electrodes for supercapacitors, a bottleneck that restricted its application was set due to the lengthened ion pathway and the resulting F-based surface terminations, which creates a barrier for the V2CTx to achieve increased capacity. In this work, the nano-sized V2CTx with enlarged interlayer space and decreased F-based surface terminations was synthesized by alkalization assisted K+ interlayer coordination, exhibiting an ultra-high capacitance of 665 F g−1 at 2 mV s−1 in 1 M H2SO4 with capacitance retention rates of 81.9% after 10000 charge/discharge cycles. Moreover, it also produces a good specific capacitance in Li2SO4 and KOH with excellent stability. This excellent performance can be attributed to the porous structure with atomic increase of interlayer spacing (0.969 nm), reduced flake size, as well as small holes generated, which will greatly shorten ion transport and provide an ion “highway.”
The Effect of Electronic Properties of Anodized and Hard Anodized Ti and Ti6Al4V on Their Reactivity in Simulated Body Fluid
Authors: Di Franco F. , Zaffora A. , Pupillo D. , Iannucci L. , Grassini S. , Santamaria M.
Published: July 2022

The electronic properties of barrier and porous layers on Ti and Ti6Al4V were studied. Barrier anodic oxides grown to 40 V on Ti and on Ti6Al4V are both n-type semiconductors with a band gap of 3.3 eV and 3.4 eV respectively, in agreement with the formation of amorphous TiO2. Anodizing to 200 V at 20 mA cm−2 in calcium acetate and β-glycerol phosphate disodium pentahydrate leads to the formation of Ca and P containing porous films with a photoelectrochemical behaviour dependent on the metallic substrate. A band gap of 3.2 eV and the flat band potential of −0.5 V vs Ag/AgCl were measured for the porous oxide on Ti, while optical transitions at 2.15 eV and a significantly more positive flat band potential were revealed for the porous oxide on the alloy. The different electronic properties were rationalized by taking into account the presence of localized states inside the gap, induced by incorporation of Al and V from the underlaying alloy during the hard anodizing process. These electronic properties are responsible of the reactivity of porous layer grown on Ti6Al4V alloy in simulated body fluid.
A Survey Study on the Status of Somatic Symptoms in Young and Middle‐Aged Patients with Mental Illness during Long‐Term Hospitalization
Authors: Zheng Wenxin , Guo Zhiwei
Published: July 2022

Psychiatric disorders include severe psychiatric disorders and those in general with some psychiatric disorders having a clear etiology or in which a significant psychiatric predisposing factor is present. Whereas, psychiatric disorders precisely refer to those characterized by mild depression and mild anxiety and appear to affect a large number of people in any community. It has been reported that the disease is highly prevalent and has a huge impact on the individual, family, and community levels, resulting in a heavy burden on the healthcare system of a country. To explore the status of somatic symptoms in young and middle‐aged psychiatric patients during long‐term hospitalization, a total of 114 young and middle‐aged psychiatric patients with prolonged hospitalization (more than 5 years) were included. Data information of the hospitalized patients was recorded, including preadmission somatic symptoms, electrocardiogram (ECG), echocardiogram, abdominal ultrasound, and blood tests. In addition, a homemade questionnaire was administered, and general information about the patients was also collected, including gender, age, current medication use, and duration of medication use. Correlations between cardiometabolic disease, osteoporosis, and long‐term oral antipsychotic medication were analyzed in these young and middle‐aged patients. The prevalence of comorbid somatic symptoms was 77.2%, and concomitant disorders included mainly cardiometabolic disorders, osteoporosis, pulmonary infections, cerebrovascular disorders, digestive disorders, fractures, and skin conditions. The incidence of somatic symptoms caused by long‐term use of antipsychotic drugs was about 88.6%, and the incidence of concomitant somatic symptoms was higher in young and middle‐aged psychiatric patients who were hospitalized for a long time. The current study observed a high prevalence of somatic symptoms in young and middle‐aged patients with long‐term inpatient psychiatric illness. Endocrine and metabolic disorders, particularly dyslipidemia, may trigger a range of deleterious effects. In addition to this, there is a high incidence of osteoporosis. Special attention should be paid to the side effects of antipsychotic drugs, and appropriate measures are needed to make early diagnosis and provide early treatment to reduce the occurrence of cardiometabolic diseases and osteoporosis.
Dynamic Mechanisms of the Environmental Effects of FDI: An Empirical Test Based on the PVAR Model
Authors: Yuan Jiameng , Cui Huimin , Wang Hongguang , Sun Weiguo
Published: July 2022

This study selected relevant data of China from 2006 to 2019 and adopted a panel vector autoregression (PVAR) model to conduct an empirical analysis on the dynamic mechanism of a series of problems including “FDI (foreign direct investment), economic scale, and environmental pollution,” “FDI, industrial structure, and environmental pollution,” and “FDI, production technology, and environmental pollution.” Our research results showed that there are differences in the optimal lag order under different conditions, such as under the action mechanism of economic scale and industrial structure, and the optimal lag order was 1, while under the action mechanism of production technology, its value was 2. FDI had a long‐term effect on the environment; under the dual‐action mechanism of economic scale and industrial structure, the environmental effect of FDI reached the maximum within 2 periods, the effect lasted a relatively long time, and the response of environmental pollution to the technological level reached the maximum between the fourth period and the sixth period. In terms of the overall situation in China, the FDI did not produce an obvious effect on environmental pollution; on the contrary, it exhibited a trend of environmental improvement, which varied with the action mechanism and the region; and also, the improvement of technological level can also significantly improve the quality of environment.
Development Path Planning of Sports and Wellness Town under the Background of Computer Virtual Reality Technology
Authors: Chen Lichun , Lu Bingxu
Published: July 2022

In order to improve the planning effect of the development path of the sports and wellness town, this article combines computer virtual technology to analyze the development path planning of the sports and wellness town and conducts research on the effect of the development path planning of the sports and wellness town through simulation research. Moreover, in order to deal with unknown time-varying actuator faults and uncertain disturbances of the system, an improved cost function is constructed in this article, which guarantees the expected performance index of the original system. In addition, this article uses the single-network ADP algorithm to solve the event-triggered HJB equation and adopts a new weight update law. Finally, an event-triggered near-optimal controller is obtained when evaluating the network’s success in approximating the improved cost function. The simulation study shows that the development path planning method of sports and wellness town based on computer virtual reality technology proposed in this article has a good effect and can effectively promote the progress and development of sports and wellness town.
Optimal Position Fuzzy Control of an Underactuated Robotic Finger
Authors: Espinosa Garcia Francisco J. , Lugo-González Esther , Telléz-Velázquez Arturo , Arias-Montiel Manuel , Ceccarelli Marco
Published: July 2022

In this paper, the optimal position control of an underactuated robotic finger is presented. Two trajectories, one for the proximal and the other for the medial phalanx, are proposed in order to emulate the finger’s flexion/extension movements. A Mandani fuzzy control is proposed due to the lack of a precise dynamical model of the system. In order to obtain the control parameters, an optimization strategy based on the membership functions is applied. Genetic algorithms (GA) are commonly used as an optimization method in diverse applications; however, in this case, the use of an autoadaptive differential evolution method is proposed in order to obtain a superior convergence behavior. Simulations of the virtual prototype are carried out using MATLAB/Simulink software to display the trajectory tracking. The results show that the maximum error between the proposed and obtained trajectories is 3.1352E − 04 rad.
The Feasibility of Using the Direct Anterior Approach for Total Hip Arthroplasty or Bipolar Hemiarthroplasty to Treat Femoral Neck Fractures among the Elderly
Authors: Ishiguro Shigeo , Asanuma Kunihiro , Hagi Tomohito , Ohsumi Hidehiko , Wakabayashi Hiroki , Sudo Akihiro
Published: July 2022

Purpose. Femoral neck fractures (FNFs) are a significant cause of mortality and disability among the elderly. Total hip arthroplasty (THA) is the preferred treatment method in active, cognitively intact patients. In less active or cognitively impaired patients, bipolar hemiarthroplasty (BHA) is the practical option in Japan. Even with the direct anterior approach (DAA), clinical concerns about conducting THA in elderly patients include possible dislocations, critical complications, and medical cost-effectiveness. This study is aimed at rethinking the practical surgical indications for FNFs. Methods. Between April 2019 and March 2021, BHA patients with displaced FNF (n = 21) performed through the DAA were compared with THA patients with displaced FNF (n = 19). The perioperative complications, clinical and radiologic outcomes, and mortality were compared between groups retrospectively at six months. Results. THA patients had an increased average operation time (103.3 min vs. 89.1 min,

P
<
0.05

) and similar amounts of bleeding (183.16 ml. vs. 121.1 ml.). The percentages of patients who received biological transfusion showed no difference, with low rates of perioperative complications (4% vs. 0%) and similar mortality rates compared to BHA patients. One THA patient experienced posterior dislocation during a state of postoperative delirium. Conclusion. THA through the DAA might be a credible and safe option for FNF patients, with excellent functional outcomes and fewer surgery-related complications. Early posterior dislocation might be related to optimized offset distance and not related to leg discrepancy or other radiographic items. Hence, orthopedic surgeons should reconsider their options before conducting BPH for elderly and cognitively intact FNF patients.
The Regulatory Effects of MicroRNAs on Tumor Immunity
Authors: Lu Yan , Deng Muwen , Wang Kang , Peng Yuanhong , Ouyang Manzhao
Published: July 2022

MicroRNAs are endogenous noncoding small RNAs that posttranscriptionally regulate the expressions of their target genes. Accumulating research shows that miRNAs are crucial regulators of immune cell growth and antitumor immune response. Studies on miRNAs and tumors primarily focus on the tumor itself. At the same time, relatively few studies on the indirect regulatory effects of miRNAs in the development of tumors are achieved by affecting the immune system of tumor hosts and altering their immune responses. This review discusses the influence of miRNAs on the antitumor immune system.
Texture Features of Computed Tomography Image under the Artificial Intelligence Algorithm and Its Predictive Value for Colorectal Liver Metastasis
Authors: Sun Derong , Dong Jianjiang , Mu Yindong , Li Fangwei
Published: July 2022

The aim of this research was to investigate the predictive role of texture features in computed tomography (CT) images based on artificial intelligence (AI) algorithms for colorectal liver metastases (CRLM). A total of 150 patients with colorectal cancer who were admitted to the hospital were selected as the research objects and randomly divided into three groups with 50 cases in each group. The patients who were found to suffer from the CRLM in the initial examination were included in group A. Patients who were found with CRLM in the follow‐up were assigned to group B (B1: metastasis within 0.5 years, 16 cases; B2: metastasis within 0.5–1.0 years, 17 cases; and B3: metastasis within 1.0–2.0 years, 17 cases). Patients without liver metastases during the initial examination and subsequent follow‐up were designated as group C. Image textures were analyzed for patients in each group. The prediction accuracy, sensitivity, and specificity of CRLM in patients with six classifiers were calculated, based on which the receiver operator characteristic (ROC) curves were drawn. The results showed that the logistic regression (LR) classifier had the highest prediction accuracy, sensitivity, and specificity, showing the best prediction effect, followed by the linear discriminant (LD) classifier. The prediction accuracy, sensitivity, and specificity of the LR classifier were higher in group B1 and group B3, and the prediction effect was better than that in group B2. The texture features of CT images based on the AI algorithms showed a good prediction effect on CRLM and had a guiding significance for the early diagnosis and treatment of CRLM. In addition, the LR classifier showed the best prediction effect and high clinical value and can be popularized and applied.
Comparative Study of Y‐Junction Nanotubes with Vertex‐Edge Based Topological Descriptors
Authors: Ahmad Al-Nashri Al-Hossain
Published: July 2022

The current results of various forms of carbon nanostructures and its applications in different areas attract the researchers. In pharmaceutical, medicine, industry and electronic devices they used it by its graphical invariants. The detection of different types of carbon nanotubes junctions enhanced the attention and interest for forthcoming devices like transistors and amplifiers. A topological index plays a very important role in the study of physicochemical properties of biological and chemical structures. In this paper, we determine results of ve‐degree topological indices for various type of carbon nanotubes Y‐junctions and their comparisons. The particular indices called as The first ve‐degree Zagreb β index, the second ve‐degree Zagreb index, ve‐degree Randic index, ve‐degree atom‐bond connectivity index, ve‐degree geometric‐arithmetic index, ve‐degree harmonic index and ve‐degree sum‐connectivity index.
Based on “Computer Internet +” Rural Homestay Tourism Product Marketing
Authors: Lu Fangfang , Hu Mingfang , Zhou Wusheng , Wang Kelly Yujie
Published: July 2022

With the development of the Internet and the strong support of national policies, network technology has been widely used in all fields, and the way of information release is not only faster but also more extensive. With the strong support of the state, network technology has been widely used in all areas of society, and the number of Internet users is also increasing, and rural homestay tourism is a new force in the development of rural tourism. Rural homestay tourism plays a unique role in rural employment increase, active industry, active environment, active culture, and other aspects, so more measures should be taken to promote the development of rural homestay tourism. Therefore, by combining the above two points, rural homestay tourism also needs to carry out practical changes. The combination of Internet and rural tourism marketing is a new marketing mode, which opens up a new way for rural tourism product marketing innovation. Due to the huge market demand and various policy support at the national level, the homestay industry has become a breakthrough point for local activation. The author conducted a survey on the situation of “Internet +” rural tourism, guided and analyzed the results, found out the problems existing in the Internet marketing of rural tourism products, and put forward the strategies to deal with the Internet marketing of rural tourism products.
Edge Computing and Blockchain in Enterprise Performance and Venture Capital Management
Authors: Wang Zeyu , Lu Jia , Li Mingyu , Yang Siting , Wang Yutong , Cheng Xin
Published: July 2022

Aiming at improving the enterprise performance and venture capital management, the edge computing is combined with blockchain technology in the construction of the supply chains so as to improve the stability and security of raw material supply chains of venture capital enterprises. Firstly, the relationships among venture capital, enterprise performance, and supply chain integration are analyzed, and the positive impacts of optimization and innovation of supply chain technology and venture capital on enterprise performance improvement are discussed. Secondly, the edge computing and blockchain technology are adopted to optimize the supply chain, and a protocol model is established to improve the security of supply chain information transmission. In addition, the supply chain Internet of Things (IoT) system is designed in layers based on blockchain and edge computing technology. Finally, the designed protocol model is applied to the supply chain and the supplier performance is evaluated by using the fuzzy analytic hierarchy process (FAHP). The results show that the gas value of the designed protocol model is stable at 104,000∼116,000 in blockchain transactions, and the execution time of a single blockchain transaction fluctuates between 4,300 and 6,100 ms. Therefore, the designed protocol model can effectively ensure the security of supply chain data during the transmission. The evaluation results of supplier performance suggest that the cooperative relationship between venture capital enterprises and suppliers is affected by many factors. Optimizing the supply chain structure and production activities can improve the performance of suppliers and venture capital enterprises. This work provides a reference for analyzing the performance of blockchain technology on venture capital enterprises and suppliers.
Thermal Effect Monitoring System of Dry-Type Smoothing Reactor
Authors: Hu Jingen , Shi Minglei , Jiao Chenhua , Zhu Guichi
Published: July 2022

In order to study the influence of harmonic current loss characteristics on the thermal effect of UHV dry smoothing reactor, the author proposes a thermal effect monitoring system under the loss mechanism of dry smoothing reactor. By adding the electromagnetic loss density to the temperature field as a heat source, the electromagnetic-thermal multiphysics mapping relationship is established, the convective heat transfer process is more accurately simulated, and the temperature rise calculation is realized. Finally, the temperature rise test of the dry-type smoothing reactor is carried out. Experimental results show that using the calculation method considering the characteristics of harmonic loss, the maximum error between the calculated value and the experimental value is 9.1%, the average error is 4.34%, and the temperature rise distribution law is in good agreement. The system meets the requirements of engineering precision and provides the corresponding theoretical basis for engineering designers.
Special-Purpose English Teaching Reform and Model Design in the Era of Artificial Intelligence
Authors: Ruan Yali
Published: July 2022

Research on English teaching reform and model design is the focus of the current society. It is a novel idea to use artificial intelligence algorithm to design an English teaching platform, which combines the current field of English teaching reform with the field of artificial intelligence network. The current method is to use the sincent algorithm in artificial intelligence to design the model. Its defect is that the single network education learning makes the learners feel boring. In order to solve these problems, this paper proposes an English blended education method based on artificial intelligence, which aims to study the integration of the network teaching platform and traditional education. This paper uses the artificial intelligence sincent algorithm to establish a teaching platform framework and simulate application strategies for the development of blended education. Through the investigation process of blended English teaching, the results show that the proportion of students who are generally satisfied with English teaching has reached 53.67% and the proportion of students who feel generally satisfied has reached 27.83%. The results of this survey indicate that the majority of students approve of this type of English blended education method.
Design of Moving Target Detection System Using Lightweight Deep Learning Model and Its Impact on the Development of Sports Industry
Authors: Zhang Hongling , Zheng Yifei
Published: July 2022

The intelligent tracking and detection of athletes’ actions and the improvement of action standardization are of great practical significance to reducing the injury caused by sports in the sports industry. For the problems of nonstandard movement and single movement mode, this exploration takes the video of sports events as the object and combines it with the video general feature extraction of convolutional neural network (CNN) in the field of deep learning and the filtering detection algorithm of motion trajectory. Then, a target detection and tracking system model is proposed to track and detect targets in sports in real-time. Moreover, through experiments, the performance of the proposed system model is analyzed. After testing the detection quantity, response rate, data loss rate, and target detection accuracy of the model, the results show that the model can track and monitor 50 targets with a loss rate of 3%, a response speed of 4 s and a target detection accuracy of 80%. It can play an excellent role in sports events and postgame video analysis, and provide a good basis and certain design ideas for the goal tracking of the sports industry.
Prediction of Cancer-Specific Survival of Brainstem Glioma in Children Based on Risk Stratification Model
Authors: Sun Kai , Xu Mingwei , Fei Xiaowei , Wang Hao , Xu Lunshan , Xu Ruxiang , Xu Minhui
Published: July 2022

Objective. To develop and authenticate a risk stratification framework and nomogram for ascertaining cancer-specific survival (CSS) among the pediatric brainstem gliomas. Methods. For patients less than 12 years, according to Surveillance, Epidemiology, and End Results (SEER), information from 1998 to 2016 is found in their databases. The survival outcomes, treatments, and demographic clinicopathologic conditions are scrutinized per the database validation, and training cohorts are divided and validated using multivariate Cox regression analysis. A nomogram was designed, and predominantly, the risk stratification conceptualization engaged selected tenets according to the multivariate analysis. The model’s authenticity was substantiated through C-index measure and calibration curves. Results. There are 806 pediatric concerns of histologically concluded brainstem glioma in the research. According to multivariate analysis, age, grade, radiotherapy, and race (with

P

value < 0.05) depicted independent prognostic variations of the pediatric gliomas. The nomogram’s C-index was approximately 0.75 and an accompanied predictive capability for CSS. Conclusion. The nomogram constructed in this glioma’s context is the primary predictor of using risk stratification. A combination of nomograms with the risk stratification mechanism assists clinicians in monitoring high-risk individuals and engage targeted accessory treatment.
Awareness regarding Teledentistry among Dental Professionals in Malaysia
Authors: Khokhar Romaisa A. , Ismail Waleed A. , Sunny Adnan , Shaikh Gul M. , Ghous Sundas , Ansari Moeez , Zia Syed Hamza , Arshad Soban , Alam Mohammad Khursheed
Published: July 2022

Objective. Teledentistry is considered to be a technological advancement in providing dental care to patients while effectively addressing the time management. Furthermore, the pandemic of COVID‐19 has been here for quite long now, forcing the dental practitioners to ponder upon other methods of healthcare delivery apart from the traditional in‐office direct clinical examination. The aim of this study was to explore the perceptions of dental professionals of Malaysia regarding teledentistry, which can act as a future pedestal for improvements in virtual dental practice and patient care. Materials and Methods. It was a descriptive, cross‐sectional study involving an electronic survey of a sample of dental professionals of Malaysia. A prevalidated, 26‐item, 5‐point Likert‐scale questionnaire was used in assessing the perceptions of dental professionals regarding teledentistry in four domains: existing concerns about teledentistry use, the potential of teledentistry in improving practice, usefulness of teledentistry for dental practice, and its usefulness for patients. Statistical analyses involved descriptive statistics which included frequency distributions. Results. An overall response rate of 31.0% was observed with 310 dental practitioners participating in the survey. More than 60% of respondents agreed that teledentistry would benefit the dental practice through enhancement of communication with peers, guidance, and new patients’ referral. However, a substantial proportion of practitioners (70‐80%) expressed uncertainty with accuracy of diagnosis, technical reliability, and privacy. Conclusion. Generally, the results of this study point towards the readiness of dental professionals of Malaysia to engage in teledentistry practice. However, further work needs to be done to assess the commercial feasibility of teledentistry, not only in Malaysia but also in other parts of the world. To start with, directed campaigns in reference to teledentistry are necessary to educate dentists and the public about the technology and its potential.
Weighted Bayesian Belief Network: A Computational Intelligence Approach for Predictive Modeling in Clinical Datasets
Authors: Kharya Shweta , Onyema Edeh Michael , Zafar Aasim , Wajid Mohd Anas , Afriyie Rockson Kwasi , Swarnkar Tripti , Soni Sunita
Published: July 2022

There are growing concerns about the mortality due to Breast cancer many of which often result from delayed detection and treatment. So an effective computational approach is needed to develop a predictive model which will help patients and physicians to manage the situation timely. This study presented a Weighted Bayesian Belief Network (WBBN) modeling for breast cancer prediction using the UCI breast cancer dataset. New automated ranking method was used to assign proper weights to attribute value pair based on their impact on causing the disease. Association between attributes was generated using weighted association rule mining between two attributes, multiattributes, and with class labels to generate rules. Weighted Bayesian confidence and weighted Bayesian lift measures were used to produce strong rules to build the model. To build WBBN, the Open Markov tool was used for structure and parametric learning using generated strong rules. The model was trained using 70% records and tested on 30% records with a threshold value of minimum support = 36% and confidence = 70% which produced results with an accuracy of 97.18%. Experimental results show that WBBN achieved better results in most cases compared to other predictive models. The study would contribute to the fight against breast cancer and the quality of treatment.
Quantitative Attribution Analysis of the Spatial Differentiation of Gully Erosion in the Black Soil Region of Northeast China
Authors: Wang Ranghu , Wang Nan , Fan Yingchao , Sun Huan , Fu Hanpei , Yang Jiuchun
Published: July 2022

Gully erosion is the major soil erosion type in the black soil region of Northeast China. However, studies on multifactor synthesis at a large scale and on the driving mechanism of spatial differentiation are still relatively lacking for gully erosion in this region. In this study, the simulation of gully erosion and its quantitative attribution analysis have been conducted in the Sancha River catchment in Northeast China, based on high-resolution satellite imagery mapping and the geodetector method. A total of 18 indicators in 6 categories, including topography, climate and weather, soil properties, lithology, land use, have been taken into consideration. The influence of each influencing factor and its interactive influence on gully erosion were quantitatively evaluated. The results showed that at the large catchment scale, the submeter images had a strong capacity for the recognition of a permanent gully and obtained satisfactory results. According to the results of the geodetector, lithology and soil type are the main factors that affect the spatial differentiation of gully erosion in the Sancha River basin, because their interpretation power for gully density and gully intensity was close to 10%. The lithology belonged to gray–white matter rhyolite, spherulite rhyolite, and crystal clastic tuff, with the highest gully density and intensity. The interpretation power of the secondary factors, including rainfall erosivity, watershed area, elevation, soil erodibility, land use pattern, slope, and distance from the river, amounted to more than 1%. The interactions among most driving factors showed nonlinear enhancement. The influence of the interaction between lithology and soil type appeared to be the largest. In particular, the lithology of different soil types accounted for 28.7% and 32.5% of the gully density and gully intensity. The interaction of factors had a stronger influence on the spatial differentiation of gully erosion than any single factor.
Improved Convolutional Neural Networks for Course Teaching Quality Assessment
Authors: Liu Yun
Published: July 2022

The cultivation of innovative talents is closely related to the quality of course teaching, and there is a correlation between facial expressions and the effectiveness of classroom teaching. In this paper, a separate long-term recursive convolutional network (SLRCN) microexpression recognition algorithm is proposed using deep learning technology for building a course teaching effectiveness evaluation model. Firstly, facial image sequences are extracted from microexpression data sets, and the transfer learning method is introduced to extract spatial features of facial expression frames through pretrained convolutional neural network model to reduce the risk of overfitting in network training. The extracted features of video sequences were input into long short-team memory (LSTM) to process temporal features. Experimental results show that SLRCN algorithm has the best performance in training set and test set. It has the best performance in ROC curve. This effectively distinguishes between seven different expressions in the database. The model proposed in this paper can obtain the changes of students’ facial expressions in class and evaluate students’ learning status, thus promoting the improvement of teaching quality. It provides a new method of course teaching quality evaluation.
Human Umbilical Cord Wharton Jelly Cells Treatment Prevents Osteoporosis Induced by D-Galactose
Authors: Wang Qiang , Gao Zhiqiang , Guo Kai , Lu Jiawei , Wang Feng , Wu Tongde , Huang Yufeng , Wu Desheng
Published: July 2022

Objects. Human umbilical cord Wharton jelly cells (HUCWJCs) treatment has been proven to be a useful treatment approach for various inflammatory diseases. This study investigated the therapeutic effect and mechanism of HUCWJCs on D-galactose-induced osteoporosis in mice. Methods. Sixteen male mice were randomly divided into 4 groups: control (ordinary feeding), D-gal (D-galactose) group, D-gal + MSC (human umbilical cord Wharton jelly cells), and D-gal + MSC-TNFα groups. Except for the control group (fed with same amount of saline solution), other mice received gastric feeding of 250 mg/kg D-galactose every day for 8 weeks. TNFα (10 ng/mL for 24 h) cocultured or noncocultured HUCWJCs (5 × 105) were suspended in 0.1 ml of sterile PBS and injected into tail veins every other week in D-gal + MSC-TNFα and D-gal + MSC groups, respectively, and only 0.1 ml of sterile PBS for control and D-gal groups. The bone mass was detected by qPCR, ELISA, microcomputed tomography (μCT), and hematoxylin-eosin staining. Proliferation, apoptosis, and differentiation of periosteal-derived osteoblasts (POB) were assessed. Transwell assay and scratch healing were performed to detect POB migration and invasion ability. The effect of HUCWJCs on POB signaling pathway expression was evaluated by immunoblotting. Results. The malondialdehyde (MDA) in serum was higher and superoxide dismutase (SOD) was lower in the D-gal group compared to the other groups (

p
<
0.05

). Mice in D-gal group showed significantly decreased bone mass when compared to the control group, while HUCWJCs treatment partially rescued the phenotype, as demonstrated by μCT and histology (

p
<
0.05

). Mechanically, HUCWJCs treatment partially promoted proliferation and migration and decreased apoptosis of POB induced by oxidative stress via activating the mitogen-activated protein kinase (MAPK) signaling pathway. Conclusion. HUCWJCs can prevent the progression of osteoporosis by inhibiting oxidative stress, which may act by regulating osteoblasts fate through the MAPK signaling pathway.
IL-33/ST2 Activation Is involved in Ro60-Regulated Photosensitivity in Cutaneous Lupus Erythematosus
Authors: Song Yitian , Wei Fangzhi , Liu Ying , Han Feng , Ma Lihui , Zhuang Yanping , Pan Chengdan , Jia Zhandong , Gong Aimin
Published: July 2022

Interleukin- (IL-) 33 contributes to various inflammatory processes. IL-33/ST2 activation participates in systemic lupus erythematous via binding to the receptor of Suppression of Tumorigenicity 2 protein (ST2). However, whether IL-33/ST2 interferes with the nosogenesis of cutaneous lupus erythematosus (CLE) has not been reported so far. Herein, we proposed to disclose the impacts on IL-33/ST2 activation and Ro60 on CLE and their potential implications in the photosensitization of CLE cells. IL-33, ST2, and Ro60 in CLE patients’ skin lesions were detected. Murine keratinocytes stimulated with or without IL-33 were irradiated by ultraviolet B (UVB), and the levels of Ro60 and inflammation markers were determined. Keratinocytes were cocultured with J774.2 macrophages and stimulated with IL-33 for analysis of chemostasis. The results identified that IL-33, ST2, and downstream inflammation markers were significantly upregulated in CLE lesions with Ro60 overexpression. Additionally, IL-33 treatment promoted the upregulation of Ro60 induced by UVB treatment in murine keratinocytes. Moreover, IL-33 stimulates keratinocytes to induce macrophage migration via enhancing the generation of the chemokine (C–C motif) ligands 17 and 22. Meanwhile, the silencing of ST2 or nuclear factor-kappa B (NF-κB) suppression abolished IL-33-induced upregulation of Ro60 in keratinocytes. Similarly, the inhibition of SOX17 expression was followed by downregulation of Ro60 in keratinocytes following IL-33 stimulation. In addition, UVB irradiation upregulated SOX17 in keratinocytes. Conclusively, the IL-33/ST2 axis interferes with Ro60-regulated photosensitization via activating the NF-κB- and PI3K/Akt- and SOX17-related pathways.
A Paraurethral Aggressive (Deep) Angiomyxoma
Authors: York Daniel , Saikumar Smera , Patel Pavan , Edwards Christian , Garcia Geossette , Naqvi Hyder
Published: July 2022

Background. Aggressive angiomyxomas (AAs) are rare mesenchymal tumors that are histologically composed of myxoid stroma and vasculature. AAs are typically located in the pelvis and perineum and occur more frequently in females of reproductive age. Case Presentation. In this report, we outline a patient who had a paraurethral tumor with histopathology showing a circumscribed hypocellular lesion with myxoid stroma and abundant vasculature, consistent with the diagnosis of aggressive angiomyxoma. The mass was excised with resolution of symptoms and the patient was advised to continue close follow-up with her gynecologist and endocrinologist to monitor for recurrence. Conclusion. Due to its rarity, aggressive angiomyxomas are often misdiagnosed as cysts, hernias, lipomas, or cancerous lesions. Although benign, close follow-ups are crucial to monitor for recurrences or metastasis.
A Systematic Review and Meta-Analysis on the Prognostic Value of BRCA Mutations, Homologous Recombination Gene Mutations, and Homologous Recombination Deficiencies in Cancer
Authors: Shao Changxia , Chang Michael S. , Lam Fred C. , Marley Andrew R. , Tang Huilin , Song Yiqing , Miller Chelsey , Brown Madeline , Wan Isabella , Han Jiali , Adeboyeje Gboyega
Published: July 2022

Patients with BRCA1/2 mutations (BRCAm), loss-of-function mutations in other homologous recombination repair (HRRm) genes, or tumors that are homologous recombination deficiency positivity (HRD+) demonstrate a robust response to PARPi therapy. We conducted a systematic literature review and meta-analysis to evaluate the prognostic value of BRCAm, HRRm, and HRD+ on overall survival (OS) among those treated by chemotherapy or targeted therapy other than PARPi across tumor types. A total of 135 eligible studies were included. Breast cancer (BC) patients with BRCA1/2m had a similar overall survival (OS) to those with wild-type BRCA1/2 (BRCA1/2 wt) across 18 studies. Ovarian cancer (OC) patients with BRCA1/2m had a significantly longer OS than those with BRCA1/2 wt across 24 studies reporting BRCA1m and BRCA2m, with an HR of 0.7 (0.6–0.8). Less OS data were reported for other tumors: 6 studies for BRCA2m compared with BRCA2 wt in prostate cancer with an HR of 1.9 (1.1–3.2) and 2 studies for BRCA1/2m compared with BRCA1/2 wt in pancreatic cancer with an HR of 1.5 (0.8–3.1). Only 4 studies reported HRD+ by either BRCA m or genomic instability score (GIS) ≥ 42 and OS by HRD status. The HR was 0.67 (0.43–1.02) for OS with HRD+ vs. HRD−. A total of 15 studies reported the association between HRRm and OS of cancers in which one or more HRR genes were examined. The HR was 1.0 (0.7–1.4) comparing patients with HRRm to those with HRR wild-type across tumors. Our findings are useful in improving the precision and efficacy of treatment selection in clinical oncology.
The Innovation and Development Path of Cultural and Creative Industries in Anhui Province, China: Nvivo12-Based Policy Text Analysis
Authors: Zeng Hui , Yang Lei
Published: July 2022

The policy planning of cultural and creative industries is the leading factor affecting the development of cultural and creative industries and is also an important factor in driving China’s economic transformation. How to combine the policy with the actual industrial development and how to scientifically assess the construction effect of cultural and creative industries and build the corresponding planning system are the key points of the current development of cultural and creative industries in Anhui Province, China. The study first analyzes the regional cultural characteristics and development status of Anhui Province, then uses Nvivo12 qualitative software to conduct grounded research and qualitative text analysis on 20 Chinese cultural and creative industry development policy texts, and summarizes three core elements that promote the development of China’s cultural and creative industry: “development task,” “development goal,” and “development guarantee.” Then, according to the three core elements of the text, we propose policy recommendations for the innovation and development of Anhui’s cultural and creative industries: focus on “cultural heritage and sustainable development” policy formulation, explore Anhui’s regional characteristics and culture; strengthen the development of urban-rural cultural integration and mechanism innovation; optimize and adjust the structure and supply of cultural industries; top-level design to clarify the strategic direction of culture, and coordinate the research tasks to empower industrial innovation. Relying on new media means, it integrates three major development strategies to build a new mechanism for internationalized communication of cultural and creative industries in Anhui Province, develop regional advantageous industries, form advantageous cultural industry clusters, effectively spread local culture, and promote sustainable development of local economy.
Fama–French Three‐Factor Versus Daniel‐Titman Characteristics Model: A Comparative Study of Asset Pricing Models from India
Authors: Akhtar Samreen , Ahmad Ansari Valeed , Ahmad Ansari Saghir , Ahmad Alam
Published: July 2022

This study compares the three‐factor model (F&F model) proposed by Eugene Fama and Kenneth French with Daniel and Titman’s Characteristics Model (D&T model) using the data of Indian stock returns for the period of 25 years from 1993 to 2018. Three‐way sorting (3 × 2 × 2) of stocks based on the B/M ratio and size of the firms, and then by SMB, HML, or ex‐ante β loadings, is formulated to design thirty‐six portfolios. Regression and rolling regression are applied to the data under study. Results obtained by the F&F model, despite its shortcomings, are found more conclusive than the D&T model for distinguishing between characteristics and covariances for returns on Indian stock. This study favors the F&F model over the D&T model.
Construction and Application of Automatic Attendance Prediction System for Classroom Education Teaching Based on Random Matrix Theory
Authors: Liu Wansu , Pan Zhenggao
Published: July 2022

Random matrix theory, as a theoretical tool for statistical processing of complex systems and high-dimensional data, has been more and more combined with big data technology and applied to automatic attendance prediction analysis of classroom education. Firstly, the basic definition of the random matrix is introduced. Secondly, the single ring theorem of the random matrix is introduced. Based on this, the random matrix model of data is established. However, few undergraduate or graduate students in physics have been exposed to this theory. By introducing the basic concept of random matrix theory, this paper analyzes the necessity and feasibility of introducing random matrix theory into automatic attendance prediction teaching in classroom education. As a biometrics technology, random matrix theory technology has been widely used in various fields of the identity verification system, and classroom attendance system is an important field of random matrix theory technology application. The traditional random matrix theory class attendance has the problem of slow recognition speed and low accuracy. With the popularity of deep learning, the random matrix theory based on deep learning has gradually replaced the traditional random matrix theory. In this paper, the SSD target detection algorithm, NB algorithm, and RF algorithm based on deep learning are used to improve and optimize the traditional random matrix theory class attendance system, which effectively improves the efficiency and accuracy of random matrix theory attendance. Then, aiming at the low recall rate and recognition rate of random matrix theory in low-pixel images, we try to apply the random matrix theory of single image resolution reconstruction method to face detection and random matrix theory and give a calculation method to deal with outliers and noise.
[Retracted] hsa_circ_0084811 Regulates Cell Proliferation and Apoptosis in Retinoblastoma through miR‐18a‐5p/miR‐18b‐5p/E2F5 Axis
Authors: Jiang Guangwei , Qu Mingxuan , Kong Lili , Song Xiaoming , Jiang Shanhao
Published: July 2022

Background. Retinoblastoma (RB) is the commonest primary intraocular malignancy during childhood. Circular RNAs (circRNAs) act as regulators in RB development, and hsa_circ_E2F5 (circ_0084811 in this study) was found to be highly expressed in RB cells, so we wanted to identify its detailed molecular mechanism. Methods. The expression level of circ_0084811 in RB cells was tested by RT‐qPCR and its effects on RB cells were evaluated through functional assays. The regulatory mechanism that circ_0084811 may exert in RB progression was testified through mechanism experiments. Results. High circ_0084811 expression in RB cells facilitated cell proliferation but inhibited cell apoptosis. The enrichment of acetylation of histone 3 lysine 27 (H3K27ac) in circ_0084811 promoter induced circ_0084811 upregulation. Moreover, circ_0084811 regulated E2F transcription factor 5 (E2F5) expression via sponging microRNA‐18a‐5p (miR‐18a‐5p) and microRNA‐18b‐5p (miR‐18b‐5p). Conclusion. circ_0084811 modulated RB progression via the miR‐18a‐5p/miR‐18b‐5p/E2F5 axis.