bluuebunny/crossref_metadata_2025 huggingface dataset:
Chinese Herbal Formula Huayu-Qiangshen-Tongbi Decoction Attenuates Rheumatoid Arthritis through Upregulating miR-125b to Suppress NF-κB-Induced Inflammation by Targeting CK2
Authors: Chen Xiu-min , Gao Kai-xin , Wu Xiao-Dong , Liang Huang-sheng , Liu Ze-hao , Wang Mao-jie , Mei Li-yan , Huang Qing-chun , Huang Run-yue
Published: July 2022

The Huayu-Qiangshen-Tongbi (HQT) decoction, a Chinese medical formula, has been identified to show a potent therapeutic effect on rheumatoid arthritis (RA). However, the specific molecular mechanism of HQT in RA has not been well studied. In the present study, LPS-treated human rheumatoid fibroblast-like synoviocyte (FLS) MH7A cells and collagen-induced arthritis (CIA) mice were utilized as in vitro and in vivo models. Our results demonstrated that HQT could efficiently inhibit RA-induced inflammation by reducing the production of cytokines including tumor necrosis factor alpha (TNF-α), interleukin-1 beta (IL-1β), and interleukin-6 (IL-6). Moreover, HQT significantly upregulated the expression of miR-125b. Besides, analysis of bioinformatics suggested casein kinase 2 (CK2) was a potential target of miR-125b. Luciferase reporter assay was performed and revealed that miR-125b suppressed CK2 expression in MH7A cells. Furthermore, miR-125b inhibited LPS-induced NF-kappa-B (NF-κB) activation, which is a downstream target of CK2. In addition, the NF-κB inhibitor ammonium pyrrolidinedithiocarbamate (PDTC) and NF-kappa-B inhibitor alpha (IkB-α) enhanced the inhibitory effect of miR-125b on the expression of TNF-α, IL-1β, and IL-6. Taken together, our study revealed that HQT could attenuate RA through upregulating miR-125b to suppress NF-κB-induced inflammation by targeting CK2. The findings of this study should facilitate investigating the mechanism of HQT on RA and discovering novel therapeutic targets for RA.
Design and Performance Assessment of Adaptive Harmonic Control for a Half‐Car Active Suspension System
Authors: Unguritu Maria-Geanina , Nichițelea Teodor-Constantin , Selișteanu Dan
Published: July 2022

The vehicle suspension system is represented by a complex group of components which connect the wheels to the frame or body. Its primary function is to reduce or absorb various vehicle vibrations generated by road disturbances, providing comfort and safety for passengers. Most modern vehicles have independent, active, or semiactive front and rear suspensions which allow the use of electronic actuation. For this reason, automotive engineers conduct research on the active suspension model to determine the most suitable control algorithm. Three active suspension models are intensely used within simulations: the quarter‐car, the half‐car, and the full‐car models. This paper proposes an adaptive harmonic control for a half‐car active suspension system. The mathematical model of the suspension system is implemented in the MATLAB/Simulink environment. The control approach is tested via simulation, and several comparisons with the classical proportional‐integral controller are provided. The simulation results show that the controller behaves quite similarly on the half‐car model as it did on a quarter‐car model. Additionally, an improvement to the harmonic control algorithm has been accomplished.
Right Ventricular Clot in Transit in a Patient with Coronavirus Disease 2019 (COVID-19) Pneumonia Successfully Treated with Thrombolytics
Authors: Alali Yaman , Jackson Ian , Anani Abedel Rahman , Varghese Marisa , Khan Muhammad Ebrahim , Pilli Suchitra
Published: July 2022

Background. Right heart thrombus or clot in transit is a rare venous thromboembolism (VTE) with high mortality. COVID-19 infection has been associated with increased risk of such events. We present the case of a 63-year-old man with no traditional VTE risk factors who was diagnosed with a clot in transit three weeks after diagnosis of COVID-19. Clinical Case. A 63-year-old male with no significant past medical history who presented to the emergency department with shortness of breath. He tested positive for COVID-19 three weeks prior. His oxygen saturation was 60% on room air and was put on nonrebreather mask. He was still showing signs of respiratory distress including tachypnea, tachycardia, diaphoresis, and accessory muscle use. The patient was subsequently intubated and mechanically ventilated. Chest computed tomography with contrast showed acute bilateral pulmonary emboli with flattening of the interventricular septum suggestive of right heart strain. Bedside echocardiogram showed severely enlarged right ventricle with reduced systolic function and evidence of right ventricular strain and a mobile echodensity in the right ventricle attached to the tricuspid valve consistent with a clot in transit. The patient was treated with full dose systemic thrombolysis with rapid improvement in his symptoms. He was extubated the following day and a repeat echocardiogram showed resolution of the clot in transit. Conclusion. Clot in transit is rare but can occur in COVID-19 patients even in the absence of traditional thromboembolism risk factors. Management includes systemic anticoagulation, systemic thrombolysis, and surgical embolectomy. Our patient was successfully treated with systemic thrombolysis.
Thermal Performance Study of Solar Air Dryers for Cashew Kernel: A Comparative Analysis and Modelling Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN)
Authors: Huddar Vivekanand B. , Razak Abdul , Cuce Erdem , Gadwal Sudarshana , Alwetaishi Mamdooh , Afzal Asif , Saleel C. Ahamed , Shaik Saboor
Published: July 2022

In this study, a new procedure for drying of cashew kernels is proposed. The new methodology involves the use of solar air dryers to remove the dark sticky coating called testa on the surface of the cashew kernel to get the final product. There are several challenges in the new procedures, especially with respect to the moisture level to be retained in the cashew kernel post drying for facilitating the optimal peeling activity. In this regard, thermal performance is carried out through a set of experimental and computational trials. The experiments have revealed that the natural and forced convection solar dryers with drying speeds of 1.0 kg/h and 1.66 kg/h, respectively, showed drying efficiencies of 51.7% and 50.9%, which is within the permissible acceptable limit, thus ascertaining a moisture reduction of 40 to 42% in each of case and keeping the moisture content within the band of approximately 5%, required for effective peeling of the testa from the cashew kernel to obtain the final product. This new method has resulted in batch drying of cashew kernels of up to 30 kg capacity in a time span of 360 minutes of solar irradiation with an average consumption of 255 kJ. The results of the experiments are also validated from the artificial neural network (ANN) and response surface methodology (RSM) modelling, resulting in better prediction and optimization of the performance parameters. The error between the actual and experimental values is well within the permissible limit of +/-5%, thereby correlating the experimental and statistical values for deriving an ANN model for predicting the results for different time duration and solar irradiation. In this way, the thermal analysis of the solar dryers for drying cashew kernels has resulted in findings, which shall be utilized to improve the overall performance efficiency and the methodology adopted for maximum yield.
Reliability Optimization Analysis of Enterprise Financial Management System Using the Markov Model
Authors: Chen Weidan
Published: July 2022

Financial management, as the central link in the enterprise management chain, has emerged as a critical component in achieving the company’s strategic objectives. Businesses are transitioning from a closed to an open and scalable development model to an intensive development model, which is reflected in financial management and necessitates a growth-oriented transformation. Unreliability abounds in today’s globalized environment, from financial management-oriented accounting to efficiency accounting. In addition to general supply and demand unreliability, the high degree of complexity and increased channel unreliability make companies resist the great challenge of financial management systems’ ability to face uncertain events, corporate supply chains become increasingly vulnerable, and unreliability has become a common and indispensable phenomenon in many economic and management decision problems. Due to their high data requirements and dynamic adaptability, Markov models are used as the primary forecasting tool. They do not require a large amount of historical data, but rather a detailed analysis of the recent past. This thesis examines and resolves the issues with the current financial management system through a detailed examination of the enterprise financial management system’s reliability optimization, as well as identifying and supplying the appropriate financial system management tools for the company’s business activities. New business concepts and their advantages to management are introduced. The experimental results show that adding precision constraints to the floating-point calculation problem transforms it into an integer calculation problem, improving reliability by 0.389, demonstrating that the Markov model improves the efficiency of financial resource allocation. At the decision-making level, it provides a management platform and operational tools. As a result, research on this topic will assist businesses in developing a comprehensive business process that meets their needs and adapts to future development needs at a low cost, as well as assisting businesses in communicating with employees, external collaboration, and collaborative business between customers and partners.
Few‐Shot Segmentation via Capturing Interclass and Intraclass Cues Using Class Activation Map
Authors: Zhao Yan , Lv Ganyun , Hong Gongyi
Published: July 2022

Few‐shot segmentation is a challenging task due to the limited class cues provided by a few of annotations. Discovering more class cues from known and unknown classes is the essential to few‐shot segmentation. Existing method generates class cues mainly from common cues intra new classes where the similarity between support images and query images is measured to locate the foreground regions. However, the support images are not sufficient enough to measure the similarity since one or a few of support mask cannot describe the object of new class with large variations. In this paper, we capture the class cues by considering all images in the unknown classes, i.e., not only the support images but also the query images are used to capture the foreground regions. Moreover, the class‐level labels in the known classes are also considered to capture the discriminative feature of new classes. The two aspects are achieved by class activation map which is used as attention map to improve the feature extraction. A new few‐shot segmentation based on mask transferring and class activation map is proposed, and a new class activation map based on feature clustering is proposed to refine the class activation map. The proposed method is validated on Pascal Voc dataset. Experimental results demonstrate the effectiveness of the proposed method with larger mIoU values.
The Progress of Social Isolation in Patients with Enterostomy during Discharge Transition Period
Authors: Ji Heqian , Zhu Yaru , Wang Yinuo , Wang Aimin
Published: July 2022

In terms of social and psychological health of enterostomy patients during hospitalization and discharge transition period, the degree of social isolation in patients during discharge transition period is higher than that during hospitalization period, which is usually manifested by poor self-perception of body image changes. Self-esteem (shame) frustration, severe negative emotions, low psychosocial adjustment, and other factors are closely related to postoperative complications, coping self-efficacy, social support level, family living conditions, and other influencing factors. This is an important reason why patients are difficult to adapt to ostomy life and low quality of life. At present, it is believed that the social isolation related evaluation scale can be used to understand the status quo of patients with social isolation and provide nursing guidance, so as to better cope with the adverse medical outcomes caused by social isolation.
Evaluation Model of Rural Ecological Environment Governance Quality Using Decision Tree Algorithm
Authors: Yan Yan , Feng Xumeng
Published: July 2022

In rural economic development and environmental protection, assessing the quality of rural ecological environment management is critical. This paper uses a decision tree algorithm to assess the quality of rural ecological environment governance based on an in-depth review of related literature. The data are recursively processed from top to bottom in this paper, and a set of disordered and irregular examples is summed up into a set of classification rules represented by a tree structure, and an evaluation model is obtained, in which all pollution parameters are taken as environmental quality factors. It effectively overcomes the traditional environmental quality prediction model’s inflexibility and inaccurate boundary value. The simulation results show that the quality evaluation method in this paper has a classification accuracy of 96.82 percent and a recall rate of 96.63 percent, which is higher than the comparison algorithm. The experimental results support the effectiveness and applicability of the decision tree-based method for assessing the quality of rural environmental governance. This model can not only assist researchers in correctly analyzing and mastering the migration and change rules of pollutants in the air but also has promising social and economic implications.
Identification of Survival Risk and Immune-Related Characteristics of Kidney Renal Clear Cell Carcinoma
Authors: Wu Xiaobin , Liang Yonghui , Chen Xian , Long Xiangyang , Xu Wujun , Liu Li , Wang Binhui , Zou Xiong
Published: July 2022

Background. Immunity exerts momentous functions in the progression and treatment of kidney renal clear cell carcinoma (KIRC). A better understanding of the relationship between KIRC and immunity may make a great contribution to evaluating the prognosis and immune-related therapeutic response of KIRC. Methods. A series of information such as RNA sequence, clinical data, and tumor mutation burden (TMB) of KIRC patients were downloaded through The Cancer Genome Atlas (TCGA). Next, combining the survival information and gene expression data of TCGA and Gene Expression Omnibus (GEO), we established an immune gene-related prognosis model (IGRPM) and analyzed it. Then we constructed a nomogram which was convenient for clinicians to judge the prognosis of KIRC. Last but not the least, the expressions of some genes used to construct IGRPM in early KIRC, and adjacent normal tissues were verified through real-time fluorescence quantitative polymerase chain reaction (RT-qPCR). Perl (strawberry-perl-5.30.0.1-64bit), R software (4.0.3), and GraphPad Prism 7 were used to process the relevant data. Results. The single-sample gene set enrichment analysis (ssGSEA) showed that there were significant differences in StromalScore, ImmuneScore, ESTIMATEScore, TumorPurity, 22 kinds of human immune cells infiltration, and HLA genes expression between high immunity group (Immunity_H) and low immunity group (Immunity_L). The Immunity_H expressed more immune-related genes and enriched more immune-related functions than the Immunity_L. In addition, compared with the low-risk group, the high-risk group had worse survival outcome and higher TMB. Combining IGRPM-based risk characteristic and TMB, we found that low-TMB + low-risk was the most beneficial to the survival outcome of KIRC patients. The risk characteristic based on IGRPM could be used as an independent prognostic factor for KIRC, and the nomogram constructed for evaluating the prognosis of KIRC showed excellent predictive potential. The RT-qPCR results suggested that not all the genes used to construct IGRPM showed differential expression in early KIRC compared with adjacent normal tissues, but all these genes had significant influence on the prognosis of KIRC. Conclusion. These comprehensive immune assessments and survival predictions, integrating multiple aspects of data and clinical information, can provide additional value to the current Tumor Node Metastasis staging system for risk stratification of KIRC and may facilitate the development of KIRC immunotherapy.
Sex Differences and Temporal Trends in Hospitalization for Catheter Ablation of Nonvalvular Atrial Fibrillation: A Single-Center Experience for 15 Years
Authors: Peng Xiaodong , Li Linling , Zhang Mengxia , Zhao Qianqian , Wu Kui , Bai Rong , Ruan Yanfei , Ma Changsheng , Liu Nian
Published: July 2022

Background. There exist sex differences in the clinical profile, management, and outcome of atrial fibrillation (AF). Catheter ablation of AF has become a first-line therapy and has markedly made headway over the recent decades. Little is known about sex differences and temporal trends in hospitalization for catheter ablation of AF in the real-world setting. Methods. We retrospectively retrieved medical records of patients at Beijing Anzhen Hospital between January 2005 and December 2019. The patients undergoing catheter ablation of AF were enrolled. Demographical and clinical data were compared between sexes. The temporal trends of sex differences were evaluated. Results. We identified 13502 male patients (66.8%) and 6713 female patients (33.2%). The number of patients undergoing AF ablation had remarkably increased over time, but no sex differences were observed (

p
=
0.17

). The median age of women was five years older than that of men (

p
<
0.001

). The median time of in-hospital stay for the women decreased from 11 days to 4 days and for the men from 9 to 4 days. In-hospital mortality was 0.03% and 0.01% for women and men, respectively, with no significant difference between sexes. The women were more likely to have a comorbid diagnosis of hypertension and heart failure than men (

p
<
0.001

). The CHA2DS2-VA score was higher in women than in men (1.64 vs. 1.28,

p
<
0.001

). The temporal trend in the score increased in women from 1.17 to 1.81 (

p
<
0.001

) and in men from 0.91 to 1.41 (

p
<
0.001

). The percentage of patients with CHA2DS2-VA score ≥2 was higher in women than in men (49.8% vs. 35.8%,

p
<
0.001

), and the temporal trend of this sex gap was nearly doubled (8.0% in 2005–2007 vs. 15.5% in 2017–2019,

p
=
0.03

). Conclusions. Safety of catheter ablation for AF was comparable in both sexes. In contrast, the women showed a higher CHA2DS2-VA score than men. The percentage of patients with CHA2DS2-VA score ≥2 increased more quickly in women than in men. Furthermore, sex-specific research is warranted to reduce this sex disparity.
Virtual Machine Allocation Strategy Based on Statistical Machine Learning
Authors: Han Bo , Zhang Rongli
Published: July 2022

At present, big data cloud computing has been widely used in many enterprises, and it serves tens of millions of users. One of the core technologies of big data cloud service is computer virtualization technology. The reasonable allocation of virtual machines on available hosts is of great significance to the performance optimization of cloud computing. We know that with the continuous development of information technology and the increasing number of computer users, different virtualization technologies and the increasing number of virtual machines in the network make the effective allocation of virtualization resources more and more difficult. In order to solve and optimize this problem, we propose a virtual machine allocation algorithm based on statistical machine learning. According to the resource requirements of each virtual machine in cloud service, the corresponding comprehensive performance analysis model is established, and the reasonable virtual machine allocation algorithm description of the host in the resource pool is realized according to the virtualization technology type or mode provided by the model. Experiments show that this method has the advantages of overall performance, load balancing, and supporting different types of virtualization.
Construction and Application of Music Teaching Resources Based on Recurrent Neural Network
Authors: Liao Shuangshuang
Published: July 2022

Along with the rapid development of informational techniques, educational techniques are becoming increasingly important in the field of education, encouraging the reform and innovation of traditional educational concepts and teaching methods. Various music teaching aids have also become widely available. However, there is a scarcity of assistive software that is truly appropriate for music classroom instruction. A neural network is an artificial model that models and connects neurons, which are the basic units of the animal or human brain, to stimulate the nervous system’s learning, association, memory, and pattern recognition functions. We propose a recurrent neural network (RNN)-based music teaching resource construction, method, and application in this paper, focusing on the needs of music distance learning, analysing the user role needs of teachers, students, and system administrators involved in teaching and learning, and designing a mobile teaching platform in line with music teaching based on the characteristics of music teaching. The experimental results show that the system’s accuracy increases steadily with the number of iterations, and the accuracy fluctuation is stable, with an average accuracy of 72 percent and good system stability. As a result, research into this topic has significant implications for improving the quality and efficiency of music education in China, reforming the current school music education model, developing social music education, and realising music education for all and lifelong music education.
Clinical Efficacy and Psychological Impact of Omaha-Based Continuing Care for Prostate Cancer Patients
Authors: Luo Lanfang , Wang Fangfang , Wang Ling , Zhang Jing , Liu Xiaoyu , Wang Weifen
Published: July 2022

Prostate cancer is a common malignancy elderly male urogenital system, because of the special disease position, and postoperative complications such as urinary retention, urinary incontinence, and sexual dysfunction, if not treated, can increase the patients’ physical pain, anxiety, and other psychological burden; endocrine therapy after surgery can affect self-image and quality of life of patients. Omaha system was originally used for community health nurses, which contains three main contents: problem classification, nursing intervention, and outcome evaluation. The problem classification dimension includes four dimensions: environment, physiology, social psychology, and health-related behavior. The nursing intervention dimension is composed of 75 intervention objectives and four behavior types. Omaha system is a nursing intervention model based on individual psychological, physiological, educational level, and family and social background. The model has good clinical application effect. This study aimed to explore the continuous nursing intervention effect in the nursing of patients with prostate cancer and its psychological impact. A total of 96 prostate patients with cancer who were admitted to Taizhou First People’s Hospital from November 2019 to May 2021 were divided into Omaha system care group and routine care group with 48 cases each by random number table method. The routine care group received routine care and discharge guidance, and the Omaha system care group on the basis of the routine care group; continuation care based on the Omaha system was implemented. The differences in mental state, life quality score, serum prostate specific antigen (PSA) level, average urine flow rate, and self-care ability score were compared between the routine care and Omaha system care group. The results showed that Omaha-based continuation care for prostate cancer is beneficial to reduce bad mood, improve patients’ life quality score and self-care ability, and provide certain reference for clinical care of prostate cancer patients.
Multipoint Layout Planning Method for Multienergy Sources Based on Complex Adaptive System Theory
Authors: Suo Xun , Zhao Shuqiang , Ma Yanfeng
Published: July 2022

Summary. With the continuous expansion of grid-connected power generation from renewable energy sources, such as wind and light, the forms of power sources are more diversified. The coupling and uncertainty of multiple energy sources will cause significant changes in the characteristics of the power system. Problems like the complexity of the power system lack a scientific and complete explanation. This paper comprehensively considers the regional weather conditions, the uncertainty of the output of wind and solar energy sources, and the time and space complementary characteristics of multiple power sources. Based on the theory of complex adaptive systems, a systematic and holistic optimization planning method is studied. Combining the idea of complementarity because of differences, a multipoint layout planning and design method for multienergy power systems is proposed to give full play to the synergistic effects of natural resources, achieve optimal resource allocation, and provide a theoretical basis for improving the consumption of wind and renewable energy. Taking an actual provincial power system in China as an example, through the comparison of production simulation calculations and multiscenario analysis and planning methods, the proposed method can significantly increase the consumption of wind and solar renewable energy.
DAG Scheduling with Communication Delays Based on Graph Convolutional Neural Network
Authors: Zhang Zhijun , Hua Qiang-Sheng , Zhang Xiaohui , Jin Hai , Liao Xiaofei
Published: July 2022

In vehicular edge computing (VEC), tasks and data collected by sensors on the vehicles can be offloaded to roadside units (RSUs) equipped with a set of servers through the wireless transmission. These tasks may be dependent of each other and can be modeled as a directed acyclic graph (DAG). The DAG scheduling problem is aimed at scheduling the tasks to the servers to minimize the scheduling length (makespan), i.e., the maximum finish time of all tasks. The conventional heuristic algorithms only utilize partial information of the DAG, so the performance of these algorithms is not stable. The state-of-the-art scheduling method employs the graph neural network to further reduce the makespan. However, this method ignores the fact that there are communication delays between tasks scheduled on different servers. In this paper, we tackle the DAG scheduling problem considering communication delays which makes the problem much more challenging. Our method is based on graph convolutional neural network and reinforcement learning. Experimental results show that our scheduling method reduces the DAG scheduling length by 8% to 15% compared with the representative scheduling strategies based on graph neural network models (GAT, GraphSAGE) and 15% to 25% compared with the conventional algorithms (HEFT, LC, and CPOP) and the sequence-to-sequence model.
Analysis of Children’s Sports Heuristic Teaching Based on Deep Learning
Authors: Wang Xuesheng , Zhang Xipeng , Gao Feng
Published: July 2022

The “pursuit of deep learning” is mentioned among the recent trends driving the key trends driving educational technology in schools. “Deep learning” is widely used as a term, and classroom teaching has begun to focus more and more on deep learning. The heuristic teaching method is gradually accepted and used by educators all over the world with its scientific teaching mode and novel teaching methods. In today’s children’s physical education classroom, the heuristic teaching method has achieved certain results and effects, but in the process of trying, there is still room for development and improvement. Based on the deep learning model, this research will improve the existing heuristic teaching methods, through the experimental research on children's physical education classroom, observe the data results obtained by the deep learning-based children's physical education heuristic teaching, and analyze according to the results, so as to achieve the effect of heuristic teaching. A multilabel classification model ALSTM-LSTM is proposed according to the algorithm adaptation method in the multi-label learning method. The experimental results obtained an accuracy of 95.1%, which is higher than other deep learning models, and also reached the best in the evaluation indicators of precision, recall, and F1 score.
Planning and Layout of Intelligent Logistics Park Based on Improved Genetic Algorithm
Authors: Wang Nana
Published: July 2022

Based on the intelligent logistics park layout planning project, this article systematically studies the layout planning of intelligent logistics park from all aspects by combining research and analysis with investigation. This article discusses the principles and methods of location and layout of logistics parks and studies the location and layout decision of logistics parks. Based on the analysis of the functional design and regional layout of the logistics park, the location and layout of the logistics park are modeled. The improved GA is added to the systematic layout design method, and the layout planning process of logistics park is established according to the characteristics of logistics park design and planning. When determining the objective function, on the basis of the original fixed cost of logistics park construction, the logistics distribution cost is introduced into the planning and layout. Moreover, different from the facility layout planning, the goal of improving the layout also increases the operating cost. Finally, based on the improved GA, the layout of intelligent logistics park is planned, and a satisfactory layout scheme is obtained. Experiments show that the error of this algorithm is only 0.54, which is 0.6 lower than that of traditional planning methods. It can provide theoretical support and decision-making basis for the planning and layout of intelligent logistics parks.
Socially-Oriented Persuasive Game to Promote Disease Awareness and Prevention
Authors: Mulchandani Dinesh , Orji Rita
Published: July 2022

Persuasive games are widely implemented in the health domain to promote desirable behaviour change. Previous research shows that using persuasive games employing various strategies results in increased motivation and awareness that led to a positive change in behaviour. This paper investigates the efficacy of a competition-based persuasive game at creating awareness and motivating people to adhere to COVID-19 precautionary measures. To achieve this goal, we developed and evaluated a competition-based persuasive game to promote the awareness and adoption of COVID-19 precautionary measures. The results of our pretest and posttest study (

N
=
67

) followed by a semistructured interview of 18 participants show the efficacy of the game with respect to promoting a positive change in attitude, intention, self-efficacy, knowledge, and promoting motivation and positive player experience among participants. The qualitative results provide insight into how and why persuasive games promote desirable behaviour. The paper contributes to the knowledge of how emerging technologies in the form of persuasive games can be designed and used to contribute to solving problems in our society.
Development of Wireless Network Indoor Coverage System Based on Optical Fiber Distribution System
Authors: Song Pu , Xiong Shangkun , Xu Sen , Li Jianquan
Published: July 2022

With the continuous development of network communication technology, the domestic network has covered the homes of ordinary people, but the indoor coverage system of the network cable network needs to be further improved. The optical fiber distribution system is a signal coverage system integrating GSM, TD-SCDMA, and other standards. It is mainly composed of system access unit, system expansion unit, and system remote unit. Wireless network is an important communication technology, which is easy to use and can be connected wirelessly over long distances. The purpose of this paper is to study an optical fiber distribution system for indoor coverage design of wireless networks, so as to achieve faster and more efficient coverage. In this paper, a wireless network signal processing algorithm is proposed, and a systematic method for designing the wireless network indoor coverage of the optical fiber distribution system is proposed, and the algorithms are compared and tested. The test results in this paper show that the signal strength obtained by the algorithm in this paper is −54.83 dB, while the traditional artificial design algorithm is only −45.97 dB. In addition, the wireless network base point of the algorithm in this paper is also 3 lower than the traditional one. Moreover, the coverage rate achieved by the algorithm in this paper is 3.17% higher than that of the network cable network base point layout given by the genetic algorithm, and the average received signal strength is 3.34 dB higher. In addition, the algorithm in this paper takes 9.1 s, 11.2 s, and 5.3 s for the three scenarios of underground parking lot, large shopping mall, and residential residential area, while the traditional manual design algorithm takes 87.9 s, 108.8 s, and 51.7 s, respectively. The algorithm in this paper is only about 1/10 of the traditional artificial design algorithm. Therefore, it can be concluded that the coverage effect of the wireless network indoor coverage system of the optical fiber distribution system designed in this paper is significantly improved.
Intelligent Detection of Foreign Matter in Coal Mine Transportation Belt Based on Convolution Neural Network
Authors: Ma Guanchao , Wang Xisheng , Liu Jianfeng , Chen Weibiao , Niu Qinghe , Liu Yun , Gao Xiaocheng
Published: July 2022

This paper applies the CenterNet target detection algorithm to the foreign object detection of coal conveying belts in coal mines. Given the fast running speed of coal conveying belts and the influence of background and light sources on the objects to be inspected, an improved algorithm of CenterNet is proposed. First, the depth separable volume is introduced. The product replaces the standard convolution, which improves the detection efficiency. At the same time, the normalization method is optimized to reduce the consumption of computer memory. Finally, the weighted feature fusion method is added so that the features of each layer are fully utilized, and the detection accuracy is improved. The experimental results show that the improved algorithm has improved speed and accuracy compared with the original CenterNet algorithm. The foreign object detection algorithm proposed in this paper mainly detects coal gangue and can also detect iron tools such as bolts, drill bits, and channel steel. In the experimental environment, the average detection rate is about 20fps, which can meet the needs of real-time detection.
Numerical Analysis and Scientific Calculation Considering the Management Mechanism of College Students’ Innovation and Entrepreneurship Education
Authors: Wang Sheng
Published: July 2022

Purpose. This article aims to study how to analyze and study the numerical value of education management mechanisms based on cloud computing and describe the innovation and entrepreneurship of college students. Methodology. This article addresses the problems of numerical analysis and scientific computing. This problem is based on cloud computing, so it elaborates on the concepts and related algorithms of cloud computing and big data and designs and analyzes cases of numerical analysis and scientific computing of educational management mechanisms. Research Findings. Through the research of different kernel functions, the IG_CDmRMR algorithm can obtain relatively high accuracy results for numerical analysis and scientific computing. The IG_CDmRMR algorithm is the closest to expert evaluation. The maximum difference is 0.002, which is consistent in sample three. The maximum difference of the IG algorithm is 0.005, and the minimum difference is 0.002. The evaluation effect of the IG_CDmRMR algorithm is closer to the evaluation effect of experts. Practical Implications. It analyzes the numerical value of the education management mechanism and finds that the accuracy has a certain height. This has certain evaluation significance for the management mechanism of college students’ innovation and entrepreneurship education.
Prediction of the Development Scale of Vocational Education Using Markov Algorithm and Countermeasures
Authors: Zhang Yi , Yang Xiaoding
Published: July 2022

HVE (Higher Vocal Education) in China is developing rapidly. With the expansion of HVE enrollment, the scale has also expanded rapidly. However, with the great development of HVE, HVE also faces many problems. In this paper, the M_BPNN (Markov neural network-BP) model is constructed for the prediction of the development scale of vocational education. Using BPNN’s powerful nonlinear mapping ability and error correction thought, the data information of the future development scale of vocational education is predicted. The results show that the prediction accuracy of the M_BPNN model is the best, and MSE (mean squared error) and MRE (mean relative error) are 10.184 and 5.017, respectively, which are lower than the other two prediction models. It shows that the prediction effect of the M_BPNN model is better than that of the pure Markov model. The forecast results show that the population of school age in H province will decrease from 3.36 million in 2020 at an average annual rate of nearly 700,000 to the lowest value of 2.06 million in 2022. After that, the population of school age will increase steadily. The result shows that there is a relative shortage of regional students, and the enrollment scale is developing well, but it is still not optimistic. It is necessary to coordinate the cross-regional development.
Leveraging Stories to Promote Health and Prevent Cancer
Authors: Butsch Kovacic Melinda , Gertz Susan Enid
Published: July 2022

Many challenges are associated with communicating health messages to promote healthy behaviors and prevent cancer including limited health literacy levels, varied life experiences, and different learning styles. In this issue of Cancer Prevention Research, Chen and colleagues codeveloped personal, audiovisual digital stories using community-engaged, Digital Storytelling. Their goal was to improve the attitudes of and vaccination intention for human papillomavirus among Vietnamese American mothers of unvaccinated children ages 11–14. This spotlight discusses the implications of their results and further the broader use of stories as tools to promote health and prevent cancer—particularly in underserved minority and immigrant populations.

See related article, p. 465
Clinicians' Approach to Patent Foramen Ovale Closure after Stroke: Comparing Cardiologists and Neurologists
Authors: Khan Farhan , Fiorilli Paul , Messé Steven R. , Kasner Scott E. , Derbas Laith A. , Kavinsky Clifford J. , Favilla Christopher G.
Published: July 2022

Background

Evidence from randomized trials and updated professional society guidelines supports patent foramen ovale (PFO) closure after cryptogenic stroke in select patients. It is unclear how this has been integrated into real‐world practice, so we aimed to compare practice patterns between cardiologists and neurologists.

Methods and Results

In March of 2021, a survey of cardiologists and neurologists who work or previously trained at the University of Pennsylvania Health System assessed practice preferences with respect to PFO closure after stroke. Clinical vignettes isolated specific variables of interest and used a 5‐point Likert scale to assess the level of support for PFO closure. Stroke neurologists and interventional cardiologists were compared by Wilcoxon‐Mann–Whitney tests. Secondarily, Kruskal–Wallis tests compared stroke neurologists, general neurologists, interventional cardiologists, and general cardiologists. We received 106 responses from 182 survey recipients (31/31 stroke neurologists, 38/46 interventional cardiologists, 20/30 general neurologists, and 17/77 general cardiologists). A similar proportion of stroke neurologists and interventional cardiologists favored PFO closure in a young patient with cryptogenic stroke, 88% and 87%, respectively (
P
=0.54). Interventionalists were more likely than stroke neurologists to support closure in the context of an alternative high‐risk stroke mechanism, 14% and 0%, respectively (
P
=0.003). Stroke neurologists were more likely to oppose closure on the basis of older age (
P
=0.01).

Conclusions

There are key differences between how neurologists and cardiologists approach PFO closure after stroke, particularly when interpreting the stroke etiology and when considering closure beyond the scope of prior trials; this underscores the importance of collaboration between cardiologists and neurologists.
Ischemic Stroke Systems of Care in California: Evolution in the Organization During the Mechanical Thrombectomy Era
Authors: Zachrison Kori S. , Hsia Renee Y. , Li Sijia , Reeves Mathew J. , Camargo Carlos A. , Yan Zhiyu , Onnela Jukka‐Pekka , Schwamm Lee H.
Published: July 2022

Background

Optimized stroke systems of care enable access to timely care, including endovascular thrombectomy (EVT). Stroke systems have likely evolved after publication of EVT benefit (2015). Our objective was to map the stroke patient transfer network in California in terms of EVT access and patient transfer patterns, and to examine changes after 2015.

Methods

In this observational study, we identified all ischemic stroke encounters, transfers, alteplase use, and EVT procedures in California from 2010 to 2017. An established connection between any hospital pair was defined as the transfer of ≥2 patients between them. A 2‐level logistic regression model assessed whether encounters were more frequently transferred to EVT‐capable hospitals post‐2015, adjusting for patient‐ and hospital‐level factors. Linear regression examined trends in key network characteristics over time, and interrupted time series regressions examined for changes post‐2015.

Results

Among 336 247 encounters, 3.4% were transferred, 9.3% received alteplase, and 2.3% underwent EVT. From 2010 to 2017 the proportion that were EVT treated increased (1.0%–4.3%;
P
‐for‐trend<0.001) with a significant increase post‐2015 (
P
=0.01). Odds of transfer to EVT‐capable hospital were greater post‐2015 (adjusted odds ratio, 6.54; [95% CI 5.52–7.74]), but were lower for patients who were older, Black, Hispanic, and presented to a rural hospital. Significant network changes from 2010 to 2017 included increased number of encounters transferred, increased number of transferring hospitals, decreasing number of receiving hospitals, and increased proportion of receiving hospitals performing EVT. However, none of these network changes demonstrated a significant inflection point after 2015.

Conclusion

The California stroke network has been dynamic over time. Although most changes have been incremental, after the release of EVT trial data in 2015 changes in transfer patterns did lead to increased access to EVT.
Cultural Reconstruction of Ọzọ Initiation Rites in Igbo-Ukwu Southeast, Nigeria and Identity Preservation
Authors: Okoye Obiageli C.
Published: July 2022

Most aspects of Igbo culture were abandoned and some faced the threat of extinction as a result of colonialism and Christian religion. Ọzọ title taking, an exclusive title for honest and successful men was abandoned in Igbo-Ukwu because of its connection with Igbo traditional religion. The study employed qualitative approach to investigate the traditional ọzọ initiation ritual, the reconstructed version and the role of the ọzọ title taking in preserving Igbo culture and identity. The study established that the realization of the role of ọzọ institution in building morals and preserving Igbo identity by the traditional leadership of Igbo-Ukwu led to its revival by reconstructing its initiation rite. The reconstruction involves removing parts of the ọzọ initiation rite connected with Igbo traditional religion to make it more acceptable to people of all religious leanings. Although, some people argued that the disconnection of the ọzọ title from Igbo traditional religion has reduced it to a mere social title. They fail to realize that any aspect of culture that is not adapted to meet the current societal need will eventually be extinct. The study recommends the thorough character investigation of prospective ọzọ candidates to ensure they are honest and responsible men. Van Gennep’s Rites of Passage is adopted as explanatory framework for this study. Secondary data were used to compliment primary data collected. Primary data were analyzed descriptively.
Sexual dimorphism in the mountain dragon, Diploderma micangshanensis (Squamata: Lacertilia: Agamidae) from central China
Authors: Xiong Jianli , Bai Yinlong , Li Guanglu , You Zhangqiang
Published: July 2022

Sexual dimorphism (SD) is a common phenomenon in the animal kingdom, especially in lizards. The mountain dragon (Diploderma micangshanensis) is a Chinese endemic that is widely distributed in montane regions of northern Sichuan, western Hubei Province, southern Gansu, Henan, and Shanxi Provinces. However, little is known about its morphology, ecology, behavior, physiology, and natural history. In this study, SD in size and shape in a population of D. micangshanensis from Henan Province, Central China was examined based on a sample of 35 males and 23 females. Sexual dimorphism was observed in a few body shape variables (e.g., head and trunk length) but not in body size (snout-vent length). Males had longer and wider heads and shorter trunks. Sexual dimorphism in these traits can be explained by the sexual selection, ecological divergence, and fecundity advantage hypotheses. Additional studies of the ecology, reproductive biology, natural history, and behavior of D. micangshanensis are needed to evaluate the relative contributions of these mechanisms to determining the patterns of SD observed in this population.
Attitudes and Ecumenical Recognition. How Do Attitudes Define, Facilitate, or Inhibit Ecumenical Advancement?
Authors: Hietamäki Minna
Published: July 2022

Ecumenical texts cultivate a rich language of attitudes referring to trust, commitment, love, faithfulness, openness, etc., but their role in ecumenical advancement has been taken for granted. This article discusses attitudes in ecumenical advancement by focusing on ecumenical recognition. Some recognition theories hold attitudes, specifically personifying attitudes, to be a precondition for recognition. Contemporary recognition theories offer a rich analysis of attitudes concerning subjects and objects of recognition, the direction, and the consequences of recognition. Based on an overview of recognitive attitudes this article aims to offer new insights on (ecumenical) attitudes and a deeper understanding of ecumenical recognition and some of its challenge. Some of the main points of discussion include recognition on the interpersonal level and its relation to institutional level recognition, the individual, corporate and institutional subjects and objects of recognition, and the variety of ways attitudes relate to recognition.