bluuebunny/crossref_metadata_2025 huggingface dataset:
Implication of satellite cell behaviors in capillary growth via VEGF expression-independent mechanism in response to mechanical loading in HeyL-null mice
Authors: Ato Satoru , Fukada So-ichiro , Kokubo Hiroki , Ogasawara Riki
Published: January 2022

Angiogenesis and muscle satellite cell (SC)-mediated myonuclear accretion are considered essential for the robust response of contraction-induced muscle hypertrophy. Moreover, both myonucleus and SCs are physically adjacent to capillaries and are the major sites for the expression of proangiogenic factors, such as VEGF, in the skeletal muscle. Thus, events involving the addition of new myonuclei via activation of SCs may play an important role in angiogenesis during muscle hypertrophy. However, the relevance among myonuclei number, capillary supply, and angiogenesis factor is not demonstrated. The Notch effector HeyL is specifically expressed in SCs in the skeletal muscle and is crucial for SC proliferation by inhibiting MyoD in overload-induced muscle hypertrophy. Here, we tested whether the addition of new myonuclei by SC in overloaded muscle is associated with angiogenic adaptation by reanalyzing skeletal muscle from HeyL-knockout (KO) mice, which show blunted responses of SC proliferation, myonucleus addition, and overload-induced muscle hypertrophy. Reanalysis confirmed blunted SC proliferation and myonuclear accretion in the plantaris muscle of HeyL-KO mice 9 wk after synergist ablation. Interestingly, the increase in capillary-to-fiber ratio observed in wild-type (WT) mice was impaired in HeyL-KO mice. In both WT and HeyL-KO mice, the expression of VEGFA and VEGFB was similarly increased in response to overload. In addition, the expression pattern of TSP-1, a negative regulator of angiogenesis, was also not changed between WT and HeyL-KO mice. Collectively, these results suggest that SCs activation-myonuclear accretion plays a crucial role in angiogenesis during overload-induced muscle hypertrophy via independent of angiogenesis regulators.
Emodin reduces tumor burden by diminishing M2-like macrophages in colorectal cancer
Authors: Sougiannis Alexander T. , VanderVeen Brandon , Chatzistamou Ioulia , Kubinak Jason L. , Nagarkatti Mitzi , Fan Daping , Murphy E. Angela
Published: January 2022

Our study confirms that emodin is an effective primary therapy against the onset of genetic and chemically induced sporadic colorectal cancer. We established that emodin reduces the M2-like protumorigenic macrophages in the tumor microenvironment. Furthermore, we provide evidence that emodin may be acting to antagonize the P2X7 receptor within the bone tissue and consequently decrease the activation of proinflammatory cells, which may have implications for recruitment of cells to the tumor microenvironment.
Calponin 1 contributes to myofibroblast differentiation of human pleural mesothelial cells
Authors: Choo Young-Yeon , Sakai Tsuyoshi , Komatsu Satoshi , Ikebe Reiko , Jeffers Ann , Singh Karan P. , Idell Steven , Tucker Torry A. , Ikebe Mitsuo
Published: January 2022

Pleural mesothelial cells (PMCs) can become myofibroblasts via mesothelial-mesenchymal transition (MesoMT) and contribute to pleural organization, fibrosis, and rind formation. However, how these transformed mesothelial cells contribute to lung fibrosis remains unclear. Here, we investigated the mechanism of contractile myofibroblast differentiation of PMCs. Transforming growth factor-β (TGF-β) induced marked upregulation of calponin 1 expression, which was correlated with notable cytoskeletal rearrangement in human PMCs (HPMCs) to produce stress fibers. Downregulation of calponin 1 expression reduced stress fiber formation. Interestingly, induced stress fibers predominantly contain α-smooth muscle actin (αSMA) associated with calponin 1 but not β-actin. Calponin 1-associated stress fibers also contained myosin II and α-actinin. Furthermore, focal adhesions were aligned with the produced stress fibers. These results suggest that calponin 1 facilitates formation of stress fibers that resemble contractile myofibrils. Supporting this notion, TGF-β significantly increased the contractile activity of HPMCs, an effect that was abolished by downregulation of calponin 1 expression. We infer that differentiation of HPMCs to contractile myofibroblasts facilitates stiffness of scar tissue in pleura to promote pleural fibrosis (PF) and that upregulation of calponin 1 plays a central role in this process.
Biometrics from a wearable device reveal temporary effects of COVID-19 vaccines on cardiovascular, respiratory, and sleep physiology
Authors: Presby David M. , Capodilupo Emily R.
Published: January 2022

Here we report the first large-scale study investigating the effect of COVID-19 vaccines on cardiovascular, respiratory, and sleep physiology. We find that vaccines temporarily impact measures of cardiovascular, respiratory, and sleep physiology and that the degree of change in physiology is influenced by the manufacturer and dose of the vaccine and the gender and age of the vaccine recipient. These results provide insights into physiological changes that occur with COVID-19 vaccination and indicate that the unique responses that occur postvaccination may depend on manufacturer, dose, gender, and age.
Comparing the electrophysiological effects of traumatic noise exposure between rodents
Authors: Kiefer Lenneke , Koch Lisa , Merdan-Desik Melisa , Gaese Bernhard H. , Nowotny Manuela
Published: January 2022

We compared deficits after noise trauma in different rodents that are typically used in hearing research (Mongolian gerbil, rat, and mouse). We observed noise-induced threshold changes and alterations in the activity of processing auditory information along the ascending auditory pathway. Our results reveal pronounced differences in the characteristics of trauma-induced damage in these different rodent groups.
A topographical and physiological exploration of C-tactile afferents and their response to menthol and histamine
Authors: Löken Line S. , Backlund Wasling Helena , Olausson Håkan , McGlone Francis , Wessberg Johan
Published: January 2022

Unmyelinated tactile (CT) afferents are abundant in arm hairy skin and thought to signal features of social affective touch. We show that CTs are also present but are relatively sparse in the lower leg compared to C nociceptors. CTs display similar physiological properties across the arm and leg nerves. Furthermore, CT afferents do not respond to the cooling agent menthol or the pruritogen histamine, and their mechanical response properties are not altered by these chemicals.
Betaine protects rats against ischemia/reperfusion injury-induced brain damage
Authors: Li Qian , Qu Mingwei , Wang Ningning , Wang Limin , Fan Guimei , Yang Chaoping
Published: January 2022

These data suggested that betaine exerted a neuroprotective effect in I/R injury through enzymatic and nonenzymatic antioxidative systems.
Shape Approximation and Size Difference of the Upper Part of the Talus: Implication for Implant Design of the Talar Component for Total Ankle Replacement
Authors: Yu Jian , Zhao Dahang , Wang Shuo , Zhang Chao , Huang Jiazhang , Wang Xu , Ma Xin
Published: January 2022

The implant design of the talar component for total ankle replacement (TAR) should match the surface morphology of the talus so that the replaced ankle can restore the natural motion of the tibiotalar joint and may reduce postoperative complications. The purpose of this study was to introduce a new 3D fitting method (the two‐sphere fitting method of the talar trochlea with three fitting resection planes) to approximate the shape of the upper part of the talus for the Chinese population. 90 models of the tali from CT images of healthy volunteers were used in this study. Geometrical fitting and morphological measurements were performed for the surface morphology of the upper part of the talus. The accuracy of the two‐sphere fitting method of the talar trochlea was assessed by a comparison of previously reported data. Parameters of the fitting geometries with different sizes were recorded and compared. Results showed that compared with previously reported one‐sphere, cylinder, and bitruncated cone fitting methods, the two‐sphere fitting method presented the smallest maximum distance difference, indicating that talar trochlea can be approximated well as two spheres. The radius of the medial fitting sphere RM was 20.69 ± 2.19 mm which was significantly smaller than the radius of the lateral fitting sphere RL of 21.32 ± 1.88 mm. After grouping all data by the average radius of fitting spheres, the result showed that different sizes of the upper part of the talus presented significantly different parameters except the orientation of the lateral cutting plane, indicating that the orientation of the lateral cutting plane may keep consistent for all upper part of the talus and have no relationship with the size. The linear regression analyses demonstrated a weak correlation (R2 < 0.5) between the majority of parameters and the average radius of the fitting spheres. Therefore, different sizes of the upper part of the talus presented unique morphological features, and the design of different sizes of talar components for TAR should consider the size‐specific characteristics of the talus. The parameters measured in this study provided a further understanding of the talus and can guide the design of different sizes of the talar components of the TAR implant.
Analysis of Human Resource Allocation Model for Tourism Industry Based on Improved BP Neural Network
Authors: Zhu Shuo , Liu Yan
Published: January 2022

This paper analyzes the deficiencies of human resource allocation in the tourism industry by investigating the human resource allocation in the tourism industry, puts forward corresponding improvement measures and suggestions, and strives to provide certain guidance and helpful effects for the construction of tourism resource informatization. In this paper, a modified BP neural network model is proposed by introducing random perturbation terms on the hidden layer in the BP neural network algorithm, and the weight matrix connecting the input values is added with the random perturbation matrix to obtain a new weight matrix so that the convergence effect of the improved BP neural network algorithm is improved. Then, to address the problem that the initial weights of the long and short‐term memory neural network and gated BP unit neural network have a large impact on the convergence speed and prediction accuracy of the algorithm after the initial weight selection is determined, this paper introduces the random perturbation term into the gate structure of the long and short‐term memory neural network and gated BP unit neural network and proposes and connects an improved long and short‐term memory neural network and gated BP unit neural network. The weight matrix of the input values is added with the random perturbation matrix to obtain the new weight matrix so that the convergence effect of the improved long and short‐term memory neural network algorithm and the gated BP unit neural network algorithm is improved. Constructing the human resource allocation model of the tourism industry and proposing coping strategies and countermeasures and taking the human resource allocation system of the tourism industry as the core, the human resource allocation model of the tourism industry is established by combining the network image crisis life cycle system of tourism scenic spots and the network public opinion dissemination model. From the perspective of managers, the human resource allocation management policy and management procedures of the tourism industry are proposed. Using the quantifiable and disenable characteristics of online text information, the response strategy of online monitoring and propaganda and offline management and enhancement is proposed, and innovative countermeasures to the human resource allocation of the tourism industry are proposed in three categories: network originated, reality coexisting, and reality originated. Through this paper, we propose a new approach to human resource allocation management and development in the tourism industry and improve the efficiency of human resource allocation in the tourism industry.
Abstractive Arabic Text Summarization Based on Deep Learning
Authors: Wazery Y.M. , Saleh Marwa E. , Alharbi Abdullah , Ali Abdelmgeid A.
Published: January 2022

Text summarization (TS) is considered one of the most difficult tasks in natural language processing (NLP). It is one of the most important challenges that stand against the modern computer system’s capabilities with all its new improvement. Many papers and research studies address this task in literature but are being carried out in extractive summarization, and few of them are being carried out in abstractive summarization, especially in the Arabic language due to its complexity. In this paper, an abstractive Arabic text summarization system is proposed, based on a sequence-to-sequence model. This model works through two components, encoder and decoder. Our aim is to develop the sequence-to-sequence model using several deep artificial neural networks to investigate which of them achieves the best performance. Different layers of Gated Recurrent Units (GRU), Long Short-Term Memory (LSTM), and Bidirectional Long Short-Term Memory (BiLSTM) have been used to develop the encoder and the decoder. In addition, the global attention mechanism has been used because it provides better results than the local attention mechanism. Furthermore, AraBERT preprocess has been applied in the data preprocessing stage that helps the model to understand the Arabic words and achieves state-of-the-art results. Moreover, a comparison between the skip-gram and the continuous bag of words (CBOW) word2Vec word embedding models has been made. We have built these models using the Keras library and run-on Google Colab Jupiter notebook to run seamlessly. Finally, the proposed system is evaluated through ROUGE-1, ROUGE-2, ROUGE-L, and BLEU evaluation metrics. The experimental results show that three layers of BiLSTM hidden states at the encoder achieve the best performance. In addition, our proposed system outperforms the other latest research studies. Also, the results show that abstractive summarization models that use the skip-gram word2Vec model outperform the models that use the CBOW word2Vec model.
Effect of Protein Nutrition Level on Protein Metabolism during Volleyball Exercise Based on Edge Computing in the Medical System
Authors: Yang Jicheng , Du Ning , Jiang Wei , Liu Chenzhe
Published: January 2022

With the rapid development of the Internet of Things, 5G, and communication technologies, the growth of various types of data has shown an exponential trend. Edge computing technology provides users with almost unlimited computing power through a large number of high-performance servers in the data center. It is one of the important solutions for big data analysis and processing. Volleyball has caused a great wave in China as early as the 1960s, but people pay little attention to the physical quality of volleyball players. At the same time, in the medical field, it is difficult to give a clear value to the athlete’s protein requirement. Therefore, this article aims to observe the specific values of protein metabolism in volleyball at different levels of protein nutrition. By designing controlled experiments, then these rats under three nutrient levels of protein were observed and protein metabolism was analyzed after volleyball. The results of the study show that volleyball exercise can reduce the nitrogen balance and gastrocnemius nitrogen content. The nitrogen balance of the 17% group decreased from 388 mg/day before exercise to 336 mg/day, and the gastrocnemius nitrogen content decreased by up to 5.2%; serum urea nitrogen concentration and liver nitrogen content are increased, indicating the enhancement of protein catabolism. Different protein nutrition levels have different effects on protein metabolism during volleyball. The protein intake level of 17% is more conducive to resist the protein decomposition caused by volleyball. It can be seen that, based on edge computing technology, the influence factors of protein nutrition level on protein metabolism during volleyball sports can be well explored, and the research results are also very valuable.
Mechanism of Neonatal Intestinal Injury Induced by Hyperoxia Therapy
Authors: Li Tian-Ming , Liu Dong-Yan
Published: January 2022

High concentration oxygen is widely used in the treatment of neonates, which has a significant effect on improving blood oxygen concentration in neonates with respiratory distress. The adverse effects of hyperoxia therapy on the lung, retina, and neurodevelopment of newborns have been extensively studied, but less attention has been paid to intestinal damage caused by hyperoxia therapy. In this review, we focus on the physical, immune, and microorganism barriers of the intestinal tract and discuss neonatal intestinal tract damage caused by hyperoxia therapy and analyze the molecular mechanism of intestinal damage caused by hyperoxia in combination with necrotizing enterocolitis.
Analysis on Influencing Factors of Recurrence after Indirect Inguinal Hernia Laparoscopic Surgery
Authors: Cao Yuan , Ding Zhaozheng , Qiang Hongjia
Published: January 2022

This paper aims to analyze the recurrence of indirect inguinal hernia in children after laparoscopic surgery and investigate the influencing factors that may lead to recurrence so as to guide the prevention and treatment of postoperative recurrence of this kind of disease in the future. The data of 260 children with indirect inguinal hernia treated by laparoscopic surgery and followed up in our hospital from July 2019 to July 2021 were selected. A self-designed questionnaire was used to collect the basic data. The recurrence was analyzed, and the influencing factors of recurrence were analyzed by univariate analysis and multivariate analysis. Among 400 children after indirect inguinal hernia laparoscopic surgery, an occurrence was observed in 15 children, and the recurrence rate was 5.77%. Univariate analysis showed that the age and course of disease were not correlated with recurrence after indirect inguinal hernia laparoscopic surgery (

P
>
0.05

). Being male, bilateral lesions, exact high ligation, loose hernia back wall peritoneum, deciduous ligature, incorrect ligation of the fascia of musculus obliquus externus abdominis, large inguinal hernia, circumferential wiring, and too early off-bed activity were the influencing factors of recurrence after indirect inguinal hernia laparoscopic surgery (

P
<
0.05

). Logistic multivariate regression analysis showed that being male, bilateral lesions, loose hernia back wall peritoneum, deciduous ligature, incorrect ligation of the fascia of musculus obliquus externus abdominis, large inguinal hernia, and too early off-bed activity were the influencing factors of recurrence after indirect inguinal hernia laparoscopic surgery (OR>1,

P
<
0.05

). Exact high ligation and circumferential wiring were protective factors of recurrence after indirect inguinal hernia laparoscopic surgery (OR>1,

P
<
0.05

). After indirect inguinal hernia laparoscopic surgery, recurrences were affected by many factors, such as gender, site of pathological changes, and loose hernia back wall peritoneum. For these children with risk factors, reasonable intervention should be taken to reduce recurrence; exact high ligation and circumferential wiring are the protective factors. If permitted, the children meeting related indications can be treated by high ligation or circumferential wiring to reduce the risk of recurrence after indirect inguinal hernia laparoscopic surgery.
β-Elemene Restrains PTEN mRNA Degradation to Restrain the Growth of Lung Cancer Cells via METTL3-Mediated N6 Methyladenosine Modification
Authors: Feng Yuxu , Li Chenchen , Liu Siwen , Yan Fei , Teng Yue , Li Xiaoyou , Sun Yan
Published: January 2022

Lung cancer is one of the most fatal malignancies and the leading cause of cancer death worldwide. β-Elemene, a well-known anticancer drug, has drawn a great deal of attention from researchers attributed to its limited side impacts. N6-Methyladenosine (m6A) modification is the most common RNA modification and plays a vital role in the pathogenesis of multiple tumors. However, the functional link between β-elemene and the m6A modification in lung cancer development remains unexplored. In this study, we investigated whether m6A modification was responsible for the impacts of β-elemene on lung cancer. Firstly, outcomes suggested that β-elemene restrained the malignant behaviors of A549 together with H1299 cells. Thereafter, we observed that β-elemene markedly regulated METTL3, YTHDF1, and YTHDC1 among various m6A modulators. METTL3 was selected for further study because of its oncogenic function in lung cancer. RT-qRCR and western blot assays exhibited that the mRNA and protein expression levels of METTL3 were lessened by the administration of β-elemene. Mechanistically, β-elemene exerted the restrictive impacts on the cell growth of lung cancer in vivo and in vitro through targeting METTL3. More importantly, β-elemene contributed to the augmented PTEN expression via suppressing its m6A modification. To sum up, we provided strong clues that β-elemene promoted PTEN expression to retard lung cancer progression by the regulation of METTL3-mediated m6A modification.
Pan-Cancer Analysis Revealed SRSF9 as a New Biomarker for Prognosis and Immunotherapy
Authors: Liu Jinhui , Wang Yuanyuan , Yin Jian , Yang Yan , Geng Rui , Zhong Zihang , Ni Senmiao , Liu Wen , Du Mulong , Yu Hao , Bai Jianling
Published: January 2022

Background. Serine/arginine-rich splicing factor 9 (SRSF9) is one of the members of SRSF gene family and related to the tumorigenesis and the progression of tumor. However, whether SRSF9 has a crucial role across pan-cancer is still unknown. Methods. In this study, we used public databases, such as The Cancer Genome Atlas (TCGA), Cancer Cell Line Encyclopedia (CCLE), and Genotype-Tissue Expression (GTEx), to analyze SRSF9 expression level among tumor and normal cells. Survival analysis, K-M plotter, and PrognoScan were used to analyze the prognosis value of SRSF9, regarding to overall survival (OS), disease-specific survival (DSS), disease-free interval (DFI), and progression-free interval (PFI). Moreover, we performed the correlation between SRSF9 and clinical characteristics (including the outcome of prognosis), as well as molecular events of tumor mutation burden (TMB), microsatellite instability (MSI), immune checkpoint gene, tumor microenvironment (TME), immune infiltrating cells, mismatch repair (MMR) genes, m6A genes, DNA methyltransferases, and neoantigen with bioinformatics methods and TISIDB, TIMER, and Sangerbox websites. Results. In general, SRSF9 expression was upregulated in most cancers, such as BLCA, CHOL, and UCEC, which SRSF9 was associated with short survival and severe progression. In COAD, STAD, and UCEC, SRSF9 expression was positively related to both TMB and MSI. In BRCA, BLCA, ESCA, GBM, HNSC, LUSC, LUAD, OV, PRAD, TGCT, THCA, and UCEC, both immune score and stomal score showed a negative relationship with SRSF9 expression. Immune score showed a positive relationship with SRSF9 expression in LGG. SRSF9 expression had a significant and positive correlation with six types of immune infiltration cells in LGG, KIRC, LIHC, PCPG, PRAD, SKCM, THCA, and THYM, except in LUSC. In LIHC, SRSF9 was highly significant correlated with most immune checkpoint genes. For neoantigens, correlation between SRSF9 and the quantity of neoantigens was significantly positive in some cancer types. SRSF9 was also correlated with MMR genes, m6A genes, and DNA methyltransferases. In the 33 cancer types, gene set enrichment analysis (GSEA) demonstrated that SRSF9 was correlated with multiple functions and signaling pathways. Conclusion. These findings demonstrated that SRSF9 may be a new biomarker for the prognosis and immunotherapy in various cancers. As a result, it will be beneficial to provide new therapies for cancer patients, thereby improving the treatment and prognosis of cancer patients.
Configuration Method of AWS Security Architecture That Is Applicable to the Cloud Lifecycle for Sustainable Social Network
Authors: Park Se-Joon , Lee Yong-Joon , Park Won-Hyung
Published: January 2022

Recently, due to the many features and advantages of cloud computing, “cloud service” is being introduced to countless industries around the world at an unbelievably rapid pace. However, with the rapid increase in the introduction of cloud computing services, security vulnerabilities are increasing and the risk of technology leakage from cloud computing services is also expected to increase in social network service. Therefore, this study will propose an AWS-based (Amazon Web Services) security architecture configuration method that can be applied for the entire life cycle (planning, establishment, and operation) of cloud services for better security in AWS Cloud Services, which is the most used cloud service in the world. The proposed AWS security guide consists of five different areas, Security Solution Selection Guide, Personal Information Safeguard Guide, Security Architecture Design Guide, Security Configuration Guide, and Operational Security Checklist, for a safe social network. The AWS Security Architecture has been designed with three reference models: Standard Security Architecture, Basic Security Architecture, and Essential Security Architecture. The AWS Security Guide and AWS Security Architecture proposed in this paper are expected to help many businesses and institutions that are hoping to establish and operate a safe and reliable AWS cloud system in the social network environment.
Efficacy and Safety of “Bushen Huoxue Therapy”-Based Combined Chinese and Western Medicine Treatment for Diabetic Kidney Disease: an Updated Meta-Analysis of 2105 Patients
Authors: Li Hongdian , Dong Shaoning , Liu Yashen , Tian Ni , Yang Wenxue , Dong Ao , Li Na , Zhang Mianzhi
Published: January 2022

Background. Diabetic kidney disease (DKD) is the most important cause of the end-stage renal disease (ESRD) and the main cause of renal replacement therapy. Excessive inflammatory response and renal fibrosis are the keys to the development of this disease, and the conventional Western medical treatment is difficult to achieve and obtain long-term stable clinical results in all patients with DKD. Many studies have shown that Chinese medicine as a complementary and alternative medicine may be another therapeutic option to mitigate the progression of DKD to ESRD. In recent years, many doctors have used the Bushen Huoxue therapy to assist Western medicine in the treatment of the disease and have achieved certain clinical effects. However, most of the current studies are small sample studies, and there is no evidence-based confirmation. Objective. To systematically evaluate the efficacy and safety of the Bushen Huoxue therapy combined with conventional Western medicine in the treatment of DKD. Methods. A comprehensive search of literature databases such as CNKI, Wanfang, Pubmed, and Cochrane Library was conducted. The screening condition was that the control group was treated with conventional Western medicine and the experimental group was treated with Bushen Huoxue therapy’s RCT on top of the control group, and the RCTs were published from January 2011 to October 2021. The Cochrane risk bias assessment tool was used for literature quality evaluation, and RevMan 5.3 software was used for statistical analysis. Results. A total of 23 RCTs were finally included, with a total of 2,105 patients. Meta-analysis results show that the experimental group can effectively improve the clinical efficacy (RR = 1.28, 95% CI (1.22, 1.34),

P
<
0.01

), significantly reduce Crea (SMD = −0.45, 95% CI (−0.57, −0.33),

P
<
0.01

), 24 h UTP (SMD = −0.57, 95% CI (−0.69, −0.45),

P
<
0.01

), BUN (SMD = −0.36, 95%CI (−0.48, −0.24),

P
<
0.01

), UAER (SMD = −1.58, 95% CI (−1.78, −1.37),

P
<
0.01

), and blood sugar, and have certain medication safety (RR = 0.00, 95% CI (−0.03, 0.03),

P
=
0.87

). Conclusions. Chinese medicine based on the Bushen Huoxue therapy has a good clinical effect in the treatment of diabetic kidney disease and has certain safety. However, due to the limitation of the quality and quantity of the included literature, the above conclusion still needs more rational experiments to further verify.
A New Chaotic System with Only Nonhyperbolic Equilibrium Points: Dynamics and Its Engineering Application
Authors: Zolfaghari-Nejad Maryam , Charmi Mostafa , Hassanpoor Hossein
Published: January 2022

In this work, we introduce a new non‐Shilnikov chaotic system with an infinite number of nonhyperbolic equilibrium points. The proposed system does not have any linear term, and it is worth noting that the new system has one equilibrium point with triple zero eigenvalues at the origin. Also, the novel system has an infinite number of equilibrium points with double zero eigenvalues that are located on the z‐axis. Numerical analysis of the system reveals many strong dynamics. The new system exhibits multistability and antimonotonicity. Multistability implies the coexistence of many periodic, limit cycle, and chaotic attractors under different initial values. Also, bifurcation analysis of the system shows interesting phenomena such as periodic window, period‐doubling route to chaos, and inverse period‐doubling bifurcations. Moreover, the complexity of the system is analyzed by computing spectral entropy. The spectral entropy distribution under different initial values is very scattered and shows that the new system has numerous multiple attractors. Finally, chaos‐based encoding/decoding algorithms for secure data transmission are developed by designing a state chain diagram, which indicates the applicability of the new chaotic system.
Ethiopian Banknote Recognition Using Convolutional Neural Network and Its Prototype Development Using Embedded Platform
Authors: Aseffa Dereje Tekilu , Kalla Harish , Mishra Satyasis
Published: January 2022

Money transactions can be performed by automated self-service machines like ATMs for money deposits and withdrawals, banknote counters and coin counters, automatic vending machines, and automatic smart card charging machines. There are four important functions such as banknote recognition, counterfeit banknote detection, serial number recognition, and fitness classification which are furnished with these devices. Therefore, we need a robust system that can recognize banknotes and classify them into denominations that can be used in these automated machines. However, the most widely available banknote detectors are hardware systems that use optical and magnetic sensors to detect and validate banknotes. These banknote detectors are usually designed for specific country banknotes. Reprogramming such a system to detect banknotes is very difficult. In addition, researchers have developed banknote recognition systems using deep learning artificial intelligence technology like CNN and R-CNN. However, in these systems, dataset used for training is relatively small, and the accuracy of banknote recognition is found smaller. The existing systems also do not include implementation and its development using embedded systems. In this research work, we collected various Ethiopian currencies with different ages and conditions and applied various optimization techniques for CNN architects to identify the fake notes. Experimental analysis has been demonstrated with different models of CNN such as InceptionV3, MobileNetV2, XceptionNet, and ResNet50. MobileNetV2 with RMSProp optimization technique with batch size 32 is found to be a robust and reliable Ethiopian banknote detector and achieved superior accuracy of 96.4% in comparison to other CNN models. Selected model MobileNetV2 with RMSProp optimization has been implemented through an embedded platform by utilizing Raspberry Pi 3 B+ and other peripherals. Further, real-time identification of fake notes in a Web-based user interface (UI) has also been proposed in the research.
Efficacy and Safety of “Three Chinese Patent Medicines and Three TCM Prescriptions” for COVID-19: A Systematic Review and Network Meta-Analysis
Authors: Zhang Shuo , Yang Zhen , Chen Zhen-Lin , Li Zhuo-Ning , Yue Shi-Jun , Li Jia-Jia , Tang Yu-Ping
Published: January 2022

Objective. To systematically evaluate the efficacy, safety, and precision of TMTP for COVID-19. Methods. Randomized controlled trials and retrospective studies were searched in 11 electronic databases. This network meta-analysis included trials using TMTP to treat patients with COVID-19. The traditional pairwise meta-analysis was done by using Stata 15, and Bayesian network meta-analysis was done with WinBUGS. Results. 18 trials were included with 2036 participants and 7 drugs. The results showed that LHQW had the most significant effects on improving expectoration, shortness of breath, sore throat, nausea, emesis, inappetence, muscle soreness, and headache, and it could produce the least adverse reactions. XBJ was the best drug for fever, fatigue, and diarrhea, which showed great advantages in lowering WBC levels. XFBD was the most effective drug for cough and chest distress, which had the least exacerbation rate. JHQG was the most effective for rhinobyon and rhinorrhea, while QFPD was the best drug in decreasing CRP levels. Conclusion. This study was the first most large-scale and comprehensive research of TMTP for COVID-19. The results showed that LHQW had good efficacy without obvious adverse reactions. Therefore, we believe that it should be firstly recommended for COVID-19 treatment. In addition, XBJ is recommended for patients with a severe fever, fatigue, and diarrhea, and JHQG is recommended for patients with obvious rhinobyon and rhinorrhea; then, XFBD is recommended for patients with cough and chest tightness as the main manifestation. Our findings will help experts develop new COVID-19 treatment guidelines to better guide clinical medication for protecting the health of COVID-19 patients.
Teaching Design of Online Ideological and Political Course Based on Deep Learning Model Evaluation
Authors: Qiao Lijun
Published: January 2022

In practical terms, teachers are supported to use more straightforward teaching methods, such as creating real-life contextual problems, to help students develop deep learning skills. In this paper, using Bayesian theory and Bayesian classifier research methods, a machine learning model was constructed using Python to establish the correspondence between online teaching of civics and high-level semantic features and to achieve computer learning through text and teaching design evaluation research that can identify high-frequency knowledge points. The inter-relationship model knowledge mapping, the accuracy is 90%, and the continuous knowledge update help to improve the model accuracy.
On Pentagonal Controlled Fuzzy Metric Spaces with an Application to Dynamic Market Equilibrium
Authors: Hussain Aftab , Ishtiaq Umar , Ahmed Khaleel , Al-Sulami Hamed
Published: January 2022

In this manuscript, we coined pentagonal controlled fuzzy metric spaces and fuzzy controlled hexagonal metric space as generalizations of fuzzy triple controlled metric spaces and fuzzy extended hexagonal b-metric spaces. We use a control function in fuzzy controlled hexagonal metric space and introduce five noncomparable control functions in pentagonal controlled fuzzy metric spaces. In the scenario of pentagonal controlled fuzzy metric spaces, we prove the Banach fixed point theorem, which generalizes the Banach fixed point theorem for the aforementioned spaces. An example is offered to support our main point. We also presented an application to dynamic market equilibrium.
Influence of Elevation on Slake Durability Index of Quartz Mica Schist: A Case Study of East Slope of Manjiazhai Open Pit
Authors: Lu Yongfeng , Hou Kepeng , Sun Huafen , Sun Wei , Zhang Shengyou , Jiang Jun
Published: January 2022

In order to study the influence of elevation on the slake durability index of the quartz mica schist, the quartz mica schist with different elevations on the east slope of the Manjiazhai open-pit mine is taken as the research object, and based on laboratory tests and statistical analysis, the variation of negative correlation between the slake durability index and elevation is obtained. The disintegration mechanism of quartz mica schist at different elevations is also discussed. The test results show that the disintegration characteristics of quartz mica schist at different elevations are related to its mineral composition, fissure channel size, and rock damage effect. As the slope height increases, the ratio of mica to quartz in the rock increases, and the greater the porosity of the rock, the more fissures in the rock, the greater the permeability coefficient, and the more obvious the change of effective stress of rock under osmotic pressure. At the same time, the higher the slope elevation of open-pit mine, the longer the weathering time of rock, the higher the cumulative damage of rock, and the lower the rock slake durability index. This study provides a new idea for guiding the research on the disintegration characteristics of similar soft rock slopes in the elevation direction.
Treatment of a Chronic Vulvar Wound by Hyperbaric Oxygen Therapy (HBOT)
Authors: Ricard-Gauthier D. , Panchard M.-A. , Huber D. E.
Published: January 2022

We hereby report the case of a 66-year-old obese patient (BMI 30) with type 2 diabetes, who presented a chronic vulvar lesion on the left labia majora following surgical drainage of an abscess. After multiple unsuccessful treatments by antibiotics and local wound care, we proposed a trial of hyperbaric oxygen therapy (HBOT). The patient fully recovered after 54 sessions at 2.5 ATA, 95 minutes each. HBOT has been studied for perineal lesion such as skin atrophy or necrosis caused by irradiation but not for vulvar nonhealing chronic lesions in the case of impaired vascularization caused by diabetes. This case is, to our knowledge, one of the first publications about the healing boost of HBOT in chronic vulvar wounds due to vascular impairment.
Robotic-Assisted Laparoscopic Sacrocolpopexy for Pelvic Organ Prolapse: A Single Center Experience in China
Authors: Niu Ke , Zhai Qingzhi , Fan Wensheng , Li Li’an , Yang Wen , Ye Mingxia , Meng Yuanguang
Published: January 2022

Objective. The aim is to investigate the efficiency and outcome of robotic-assisted sacrocolpopexy (RASC) in a cohort of patients with pelvic organ prolapse (POP) in our Gynecology Department. Methods. We performed a retrospective study of female patients who underwent RASC in Chinese PLA General Hospital from January 2013 to December 2020. Their clinical features included age, degree of prolapse, menopause time, body mass index, pregnancy, delivery, operation time, and bleeding volume. All patients were followed up for more than 6 months. POP-Q was recorded to evaluate the position of prolapsed organs. PFDI-20, PFIQ-7, and PGI-I were used to evaluate the life quality after surgery. Results. Twenty-four patients with POP received RASC in our center. The intraoperative bleeding was 86.9 ± 98.3 ml (20–300 ml). The operation time was 143.5 ± 47.3 min (60–240 minutes). The hospitalization time was 10.4 ± 2.1 days (8–16 days). And the follow-up time was 40.8 ± 22.0 months (6–72 months). In the POP-Q follow-up, postoperative Aa, Ba, Ap, Bp, and C were significantly improved than those before surgery (

P
<
0.05

). The objective and subjective cure rate was 100%. PGI-I score was very good in 9 (9/24), very good in 10 (10/24), and good in 3 (3/24). Postoperative PFDI-20 and PFIQ-7 were 2.78 ± 3.82 and 1.57 ± 3.86, which decreased dramatically after surgery (

P
<
0.05

). Mesh exposure occurred in 4 cases (16.7%) at 2–12 months. The exposed diameters were less than 1 cm in 3 cases (2 A/T3/S1) and 1-2 cm in 1 case (3 B/T3/S1). These mesh exposures healed after conservative observation or mesh excision. Conclusion. RASC for POP has the advantage of less bleeding and hospitalization time. It is a minimally invasive option for pelvic organ prolapse.
Fuel Consumption and Traffic Emissions Evaluation of Mixed Traffic Flow with Connected Automated Vehicles at Multiple Traffic Scenarios
Authors: Zhao Bin , Lin Yalan , Hao Huijun , Yao Zhihong
Published: January 2022

To analyze the impact of different proportions of connected automated vehicles (CAVs) on fuel consumption and traffic emissions, this paper studies fuel consumption and traffic emissions of mixed traffic flow with CAVs at different traffic scenarios. Firstly, the car-following modes and proportional relationship of vehicles in the mixed traffic flow are analyzed. On this basis, different car-following models are applied to capture the corresponding car-following modes. Then, Virginia Tech microscopic (VT-micro) model is adopted to calculate the instantaneous fuel consumption and traffic emissions. Finally, based on three typical traffic scenarios, a basic segment with bottleneck zone, ramp of the freeway, and signalized intersection, a simulation platform is built based on Python and SUMO to obtain vehicle trajectory data, and the fuel consumption and traffic emissions in different scenarios are obtained. The results show that (1) In different traffic scenarios, the application of CAVs can reduce fuel consumption and traffic emissions. The higher the penetration rate, the more significant the reduction in fuel consumption and traffic emissions. (2) In the three typical traffic scenarios, the advantages of CAVs are more evident in the signalized intersection. When the penetration rate of CAVs is 100%, the fuel consumption and traffic emissions reduction ratio is as high as 32%. It is noteworthy that the application of CAVs in urban transportation will significantly reduce fuel consumption and traffic emissions.
Influence of Landscape Design on Driving Behavior Based on Slope Illusion
Authors: Li Hao , Zhang Yueyang
Published: January 2022

In a continuous downhill section of a mountain highway, factors such as road alignment, roadside environment, and other visual characteristics will impact the slope illusion drivers experience and engage in unsafe driving behaviors. To improve the negative consequences of slope illusion and driving safety in continuous downhill sections, the effects of plant spacing, height, roadside distance, and color on driving behavior were all studied by simulating the plant landscape in a virtual environment. A driving simulator and UC-win/road software were used to conduct an indoor driving simulation experiment, and parameters such as speed and lateral position offset were used as the evaluation indices of driving stability to reflect the driver’s speed perception ability with subjective equivalent speeds. The results show that a plant landscape with appropriate plant spacing, height, roadside separation, and color is conducive to improving driving stability. Furthermore, a landscape with a height of 3 m, spacing of 10 m, roadside spacing of 0.75 m, and appropriate color matching can enhance the slope perception ability and speed perception ability of drivers, which is conducive to improving the driving safety of continuous downhill sections.
Properties and Engineering Applications of a New Goaf Grouting Filling Material
Authors: Feng Xiao , Xia Chong , Zhang Sifeng , Li Chuangui , Zhao Hongkui , Wu Jianfeng , Chen Mengjun , Yan Jia
Published: January 2022

In the treatment of goafs in traffic engineering, technical problems such as those related to large-volume grouting and the precise control of material properties are often encountered. To address these issues, we developed a new composite material comprising cement-fly ash-modified sodium silicate (C-FA-MS). The setting time, fluidity, unconfined compressive strength, and microstructure were varied for different proportions of cement-sodium silicate (C-S) slurry, cement-fly ash-sodium silicate (C-FA-S) slurry, and C-FA-MS slurry, and their performances were compared and analysed. The experimental results showed that the initial setting time of the slurry was the shortest when both the original sodium silicate volume ratio (

V

S

) and modified sodium silicate volume ratio (

V

MS

) were 0.2. The final setting time of the C-S and C-FA-S slurries tended to decrease but then increased with decrease in

V

S

, while that of the C-FA-MS slurry increased with lower

V

MS

. The fluidity of the C-FA-S and C-FA-MS slurries decreased with decrease in

V

S

or

V

MS

at different fly ash admixture ratios. The consolidation compressive strength of C-S increased with decreasing

V

S

, while that of C-FA-S showed a considerable increase only when

V

S

decreased from 0.4 to 0.2. Meanwhile, the compressive strength of the C-FA-MS concretions first increased and then decreased with decrease in

V

MS

. Microstructural analysis revealed that there were more cracks in the C-S agglomerate, the fly ash in the C-FA-S agglomerate reduced the relative density of the skeletal structure, and the stronger cross-linking in the C-FA-MS agglomerate improved the strength of the agglomerate. Under the condition of unit grouting volume, the cost of the C-FA-MS slurry was approximately 44.7% and 31.3% lower than that of the C-S and C-FA-S slurries, respectively. The new C-FA-MS material was applied for the treatment of the goaf in the Wu Sizhuang coal mine. Core drilling detection and audiofrequency magnetotelluric survey revealed that the goaf was sufficiently filled.
Improved Routing Protocol Based on Multiobjective Optimization in Industrial Robot Networks
Authors: Liu You Wu , Alias Syazwina Binti , Liu Ming-yue , Jiao Bian-bian
Published: January 2022

This paper decomposes the routing process of industrial robot network using the application of analytic hierarchy process in decision-making. The influence of four factors, such as path length, data integrity, energy consumption, and receiving delay, on routing effect is analyzed. Simultaneous interpreting routes are selected to achieve the purpose of routing. Simulation results show that this method can more comprehensively consider the factors affecting routing and is superior to the existing methods in terms of energy consumption, data integrity, and transmission delay.
Deep Learning Model for the Automatic Classification of White Blood Cells
Authors: Sharma Sarang , Gupta Sheifali , Gupta Deepali , Juneja Sapna , Gupta Punit , Dhiman Gaurav , Kautish Sandeep
Published: January 2022

Blood cell count is highly useful in identifying the occurrence of a particular disease or ailment. To successfully measure the blood cell count, sophisticated equipment that makes use of invasive methods to acquire the blood cell slides or images is utilized. These blood cell images are subjected to various data analyzing techniques that count and classify the different types of blood cells. Nowadays, deep learning-based methods are in practice to analyze the data. These methods are less time-consuming and require less sophisticated equipment. This paper implements a deep learning (D.L) model that uses the DenseNet121 model to classify the different types of white blood cells (WBC). The DenseNet121 model is optimized with the preprocessing techniques of normalization and data augmentation. This model yielded an accuracy of 98.84%, a precision of 99.33%, a sensitivity of 98.85%, and a specificity of 99.61%. The proposed model is simulated with four batch sizes (BS) along with the Adam optimizer and 10 epochs. It is concluded from the results that the DenseNet121 model has outperformed with batch size 8 as compared to other batch sizes. The dataset has been taken from the Kaggle having 12,444 images with the images of 3120 eosinophils, 3103 lymphocytes, 3098 monocytes, and 3123 neutrophils. With such results, these models could be utilized for developing clinically useful solutions that are able to detect WBC in blood cell images.