bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Spatial and Temporal Differences in China’s Provincial Tourism Economy Based on Parallel Data Model and IoT Applications
Authors: Xie Xin
Published: September 2022

From a temporal perspective, this paper examines the scale, current development, business versatility, and overall work effects of regional the movement business work, taking into account the three-level proportions of the degree of the movement business in the context of the common Internet of Things. From a spatial standpoint, we recognize the adjacent city as the primary investigative unit, take on various markers, and lead an extensive assessment of the territorial improvement of the provincial travel industry work through even and vertical correlations. This paper utilizes numerous direct relapse examinations to set up the connection between the advancement level of the district of the travel industry economy and the impacting factors; arranged by size of impact, they are the travel industry asset gift, area traffic conditions, and monetary turn of events. Utilizing a blend of a solitary pointer and various markers, the area of the travel industry economy is assessed and dissected for contrasts in existence. We select the absolute travel industry income as a pointer and use strategies like reach. To assess the time difference of the movement of the business economy in each location, standard deviation, coefficient of assortment, and coefficient were used. To examine the data, we use the Granger causality test and several methodology components influencing the travel industry work nearby and the development mode. Through the foundation of a primary model of the travel industry work development element framework, causality test and different strategies are taken on to examine the provincial travel industry business affecting variables and development techniques, and the outcomes show that the local travel industry business development mode is a speculation driven the travel industry work development mode.
Variation in Thyroid-Stimulating Hormone and Cognitive Disorders in Unmedicated Middle-Aged Patients with Major Depressive Disorder: A Proton Magnetic Resonance Spectroscopy Study
Authors: Zhao Hui , Lai Shunkai , Zhong Shuming , Zhang Yiliang , Yang Hui , Jia Yanbin
Published: September 2022

Background. Middle-aged (45-59 years old) patients with major depressive disorder (MDD) have a predilection for dementia and cognitive disorders (CDs); however, the characteristics and mechanisms of CDs in these patients remain unclear. There are also known connections between thyroid-stimulating hormone (TSH), brain biochemical metabolism, and cognitive function (CF); however, there is scanty of information about these connections in middle-aged MDD patients. Methods. Cognitive assessment was performed on 30 first-episode, untreated middle-aged patients with MDD and 30 well-matched healthy controls (HCs) using the MATRICS Consensus Cognitive Battery (MCCB). N-acetyl aspartate (NAA)/creatine (Cr) and choline (Cho)/Cr ratios in the prefrontal cortex (PFC) and cerebellum were also obtained via proton magnetic resonance spectroscopy (1H-MRS), and the TSH level was measured by chemiluminescence analysis. Results. MDD patients presented significantly lower processing speed, working memory, verbal learning, reasoning problem-solving, visual learning, and composite cognition scores than controls, with a statistically lower NAA/Cr ratio in the right cerebellum. Age was positively related to reasoning problem-solving in the MDD group (

r
=
0.6249

,

p
=
0.0220

). Education also showed a positive association with visual learning, social cognition, and composite cognition. The 24-item Hamilton Depression Rating Scale (HDRS-24) score was negatively related to all domains of CF. TSH levels were markedly decreased in the MDD group, and a positive connection was determined between the NAA/Cr ratio in the right PFC and the TSH level. Conclusions. Middle-aged MDD patients have multidimensional CDs. There are changes in PFC and cerebellar biochemical metabolism in middle-aged patients with MDD, which may be related to CDs or altered TSH levels.
Mechanical Properties and Microstructure Characteristics of the Loess Modified by the Consolid System
Authors: Liu Yongde , Yang Yongdong , Dong Yunxiu , Lv Yuanfang , Wang Dong , Qi Lei
Published: September 2022

The soil stabilizer of the Consolid system (content: 0%–2.46%) was used for the modification of collapsible loess. The consolidation test, compression test, collapsibility test, and strength test of modified loess were conducted. In addition, X-ray diffraction (XRD), scanning electron microscopy (SEM), and mercury injection tests were carried out to study the loess before and after modification. The results indicated that with an increase in the content of the stabilizers, the optimal water content of the modified loess increased, whereas the dry density decreased. Furthermore, as the content of the stabilizers increased, the compressibility and collapsibility of the modified loess decreased. When the stabilizer content was 0.86%, the modified loess exhibited almost no collapsibility. The unconfined compressive strength of the modified loess demonstrated an exponential relationship with the content of the stabilizers. The shear strength increased with the increase in the content of the stabilizers. When the stabilizer content reached 1.66%, the friction angle started to decrease. The microstructure analysis indicated that the cumulative pore volume of the modified loess decreased with the increase in the content of the stabilizers, which could facilitate the formation of a more stable soil structure and improve the impermeability and strength.
Intrusion Detection Model for Wireless Sensor Networks Based on MC-GRU
Authors: Jingjing Zhou , Tongyu Yang , Jilin Zhang , Guohao Zhang , Xuefeng Li , Xiang Pan
Published: September 2022

A crucial line of defense for the security of wireless sensor network (WSN) is intrusion detection. This research offers a new MC-GRU WSN intrusion detection model based on convolutional neural networks (CNN) and gated recurrent unit (GRU) to solve the issues of low detection accuracy and poor real-time detection in existing WSN intrusion detection algorithms. MC-GRU uses multiple convolutions to extract network data traffic features and uses the high-level features output after convolution operations as input parameters of the GRU network, which strengthens the learning of spatial and time series features of traffic data and improves the detection performance of the model. The experiment results based on the WSN-DS dataset show that the overall detection accuracy of the four types of attack of black hole, gray hole, flooding, and scheduling and normal behaviors reaches 99.57%, and it is also better than the existing WSN intrusion detection algorithms in real-time performance and classification ability.
Design of Intelligent Speech Translation System Based on Deep Learning
Authors: Tan Ying
Published: September 2022

In order to solve the problem of low translation accuracy caused by complex sentence parameters in traditional machine translation systems, a method based on deep learning was proposed. First, MCU SPCE061A is used to study the problem of complex digital signal. The training data in the synchronous translation server support the translation services of a large number of users, and the translation results were displayed through the session interface of the user terminal. The PMDL model is used to detect the keyword signal, record the PCM audio data, and slice the collected pulse code modulation signal, so as to wake up the artificial intelligence voice service. Then, this study establishes a speech recognition process that accurately outputs the speech-related semantics. In this paper, a manual interactive synchronous translation program is designed with the input text as the search criterion, and the set is trimmed to obtain the best translation effect. The experimental results show that the sentence translation accuracy of the system is 0.9 ∼ 1.0. It is proved that the method based on deep learning solves the problem of low accuracy of the traditional translation system.
Timely Initiation of Breastfeeding and Its Associated Factors at the Public Health Facilities of Dire Dawa City, Eastern Ethiopia, 2021
Authors: Gemeda Natnael Dechasa , Chekole Fentahun Alemnew , Balcha Wondu Feyisa , Gessesse Nigusu Ayalew
Published: September 2022

Introduction. Timely initiation of breastfeeding is defined as putting the newborn baby to the breast within one hour of birth. Despite the World Health Organization and national recommendations on timely initiation of breastfeeding, delayed initiation of breastfeeding is still a common problem. Objective. The aim of this study was to assess the timely initiation of breastfeeding and its associated factors at the public health facilities of Dire Dawa city, Eastern Ethiopia, 2021. Methods. A health facility‐based cross‐sectional study was employed from February 1, 2021, to March 2, 2021, at the public health facilities of Dire Dawa city among 302 mother‐child pairs. The data were collected by systematic random sampling technique, entered into Epi data 4.2, and analyzed using Statistical Package of Social Science 25.0 version. Bivariate and multivariable logistic regression analyses were employed to estimate the crude and adjusted odds ratio with a confidence interval of 95%, and a P value of < 0.05 was considered statistically significant. Frequency tables, figures, and descriptive summaries were used to describe the study variables. Results. In this study, timely initiation of breastfeeding was 70.9% (95% CI: 65.6‐75.8%). In a multivariable analysis, maternal age group of 25‐40 years (AOR = 2.21, 95% CI = 1.09 − 4.48), multiparty (AOR = 2.58, 95% CI = 1.24 − 5.40), counselling on timely initiation of breastfeeding during antenatal care visits (AOR = 2.38, 95% CI = 1.16 − 4.88), institutional delivery (AOR = 3.29, 95% CI = 1.27 − 8.52), vaginal delivery (AOR = 3.06, 95% CI = 1.20 − 7.81), counselling on breastfeeding immediately after delivery (AOR = 2.89, 95% CI = 1.29 − 6.45), not practicing pre lacteal feeding (AOR = 6.76, 95% CI = 2.35 − 19.44), and having good practice of colostrum feeding (AOR = 4.03, 95% CI = 1.95 − 8.36) were associated with timely initiation of breastfeeding. Conclusion and Recommendation. Mothers who had practiced timely initiation of breastfeeding were low compared to the national recommendation (92%). Age of the mother, multiparity, counseling on timely initiation of breastfeeding, institutional delivery, vaginal delivery, counseling after delivery, not practicing prelacteal feeding, and having a good practice of colostrum feeding were predictors of timely initiation of breastfeeding. It indicates a need to encourage mothers to have antenatal care visits and institutional delivery.
miR-559 Inhibits Proliferation, Autophagy, and Angiogenesis of Hepatocellular Carcinoma Cells by Targeting PARD3
Authors: Wang Chunjing , Li Chengcheng , Hao Rui
Published: September 2022

Hepatocellular carcinoma (HCC) is one of the most common cancers in the world and has a high mortality rate. Although prevention and treatment of HCC has improved, it still faces poor prognosis and high mortality. miRNAs play a critical role in the tumorigenesis of HCC, but the underlying mechanism has not been well investigated. Here, the functions and interaction between miR-559 and PARD3 were investigated in HCC cells. Increased PARD3 and decreased miR-559 expression were observed in HCC cells compared with those in normal liver cells, especially in Huh-7 cells. Studies further demonstrated that PARD3 silencing or miR-559 overexpression impaired the proliferation, autophagy, and angiogenesis in Huh-7 cells. Mechanistically, PARD3 represents a target of miR-559. Furthermore, investigations revealed that miR-559 inhibition induced the expression of PARD3, thereby enhancing cell proliferation, autophagy, and angiogenesis in Huh-7 cells. These results reveal the interaction between miR-559 and PARD3 in HCC cells and provide new insights into their potential targets as therapeutic treatment against HCC.
To Explore the Molecular Mechanism of Acupuncture Alleviating Inflammation and Treating Obesity Based on Text Mining
Authors: Du YiKuan , He LuLu , Ye XinNi , Chen ShuZhen , Li GuanHao , Yu YuanWei , Ye ErBai , Huang YiXing , Zhou YuQi , Zhang WeiChui , Yang Chun
Published: September 2022

Objective. To explore the related mechanism of acupuncture affecting obesity by regulating inflammation using bioinformatics methods. Methods. The genes related to obesity, inflammation, and acupuncture and inflammation were mined using GenCLiP 3, and the intersecting genes were extracted using Venn diagram. The DAVID database was employed for pathway enrichment analysis and functional annotation of coexpressed genes. Then, the protein‐protein interaction (PPI) network was constructed with the STRING database and visualized by the Cytoscape software and screened out important hub genes. Finally, the Boxplot and Survival Analysis of the hub genes in various cancers were performed by GEPIA. Results. 755 genes related to obesity and inflammation and 38 genes related to acupuncture and inflammation were identified, and 24 coexpressed genes related to obesity, inflammation, and acupuncture were extracted from the Venn diagram. Eight hub genes including interleukin‐6 (IL‐6), interleukin‐10 (IL‐10), Toll‐like receptor 4 (TLR4), signal transduction and transcriptional activation factor 3 (STAT3), C‐X‐C motif chemokine 10 (CXCL10), interleukin‐17A (IL‐17A), prostaglandin peroxide synthesis‐2 (PTGS2), signal transistors, and transcriptional activation factor 6 (STAT6) were identified by gene ontology (GO), Kyoto Encyclopedia of Genes (KEGG), and PPI network analysis. Among them, IL‐6 is suggested to play an essential role in the treatment of obesity and inflammation by acupuncture, and IL‐6 was significant in both Boxplot and Survival Analysis of pancreatic cancer (PAAD). Therefore, in this study, the core gene, IL‐6 was used as the breakthrough point to explore the possible mechanism of acupuncture in treating obesity and pancreatic cancer by regulating IL‐6. Conclusion. (1) Acupuncture can regulate the expression of IL‐6 through the TLR4/nuclear factor‐κB (NF‐κB) pathway, thereby alleviating inflammation, which can be used as a potential strategy for the treatment of obesity. (2) IL‐6/STAT3 is closely related to the occurrence, development, and metastasis of pancreatic cancer. Acupuncture affecting pancreatic cancer through TLR4/NF‐κB/IL‐6/STAT3 pathway may be a potential method for the treatment of pancreatic cancer.
Research on the Application of Improved K-Means Spatial Clustering Algorithm in Landscape Conservation of Gardens
Authors: Sun Hao , Yang Yuanyuan
Published: September 2022

Garden art is the culture of generations since ancient times and is another spiritual carrier of people’s internal admiration for natural landscape, culture, and art as well as their love for living in nature and landscape. This article mainly studies the data clustering algorithm and adopts a research methodology that progresses from simple to complex. It starts by establishing a spatial data clustering model and then clustering the low-dimensional data, and then processing the high-dimensional spatial data in the low-dimensional data set. The original K-means clustering algorithm is then improved, and the new algorithm is created by combining PSO with the K-means algorithm in the high-dimensional spatial data set. And the improved two algorithms are applied to the study of data related to landscape conservation sites, and the powerful superiority of the improved K-means spatial clustering algorithm in this article is verified through the comparison of the algorithms.
Analysis Model of the Guiding Role of National Sportsmanship on the Consumer Market of Table Tennis and Related IoT Applications
Authors: Zhang Chenyi , Chen Qingqing
Published: September 2022

In general, sporting triumphs are likely to be direct reflections of a society’s socioeconomic development. Chinese table tennis achievements have had a huge impact on Chinese society since 1950. The Chinese table tennis team has won every title in a row, which not only humiliates the World Table Tennis Federation (ITBF) but also additionally prompts the present situation of “flourishing Chinese table tennis and debauched global table tennis.” Furthermore, the impacts of achievement on Chinese society are not restricted to sports. It essentially affects society. Regardless of the way that table tennis has a long history, there is little critical familiarity with the physiological necessities of players, particularly during challenge. In this layout, a gander was taken at exploring the ongoing comprehension of the body’s capabilities during table tennis planning and competition, as well as what kind of readiness is involved. The anaerobic alactic system is fundamentally called into play during hard practice and challenge, while the tirelessness structure is depended upon to recover the anaerobic stores depleted during such effort, according to match and practice examination of table tennis coordination. While the anaerobic alactic system is the most overwhelming structure involved during seasons of effort in table tennis, a solid breaking point in steadiness permits a player to recover more quickly for the accompanying match and day of competition. This study surveys explicit examinations connected with cutthroat table tennis and accentuates the requirement for table tennis-explicit preparation and exploration drives. The contribution of the study was to see how sports vision training affected certain visual abilities and table tennis players’ ability to play. The experimental group that followed a 12-week sports vision training regimen demonstrated a significant improvement in selected visual abilities and table tennis playing ability, according to the study’s findings. On all of the examined variables, the control group showed no significant improvement.
Construction of Teaching Management Platform for Universities Based on Big Data
Authors: He Guimei
Published: September 2022

The construction of the teaching management platform for colleges and universities needs to actively embrace information technology, change the problems existing in traditional offline teaching through technical innovation, make full use of massive educational resources, and improve teaching efficiency. However, no research has yet discussed how to handle the increasing scale of online teaching resources, leading to the hindrance of building teaching management platforms in universities, which requires the use of big data technologies and thinking to build new platforms. We propose a dynamic compression method to compress the data file backup in the database based on the dynamic adjustment of the system workload, and optimize the data file backup model of the database to reduce the total cost of ownership, which provides a basis for managing massive online education resources and building a teaching management platform for universities.
Extracellular Vesicles of Mesenchymal Stem Cells Are More Effectively Accessed through Polyethylene Glycol-Based Precipitation than by Ultracentrifugation
Authors: Jia Lei , Li Bo , Fang Cong , Liang Xiaoyan , Xie Yingjun , Sun Xiaofang , Wang Wen , Zheng Lei , Wang Ding
Published: September 2022

Extracellular vesicles (EVs) have been identified as cell-cell communication agents, and EVs derived from mesenchymal stem cells (MSCs) exhibit therapeutic effects similar to those of the cells of origin. Precipitation methods have been used extensively for EV harvests, such as UC- (ultracentrifugation-) or PEG- (polyethylene glycol-) based methods, and the difference in EVs derived from MSCs by UC and PEG is not fully understood. We harvested EVs from amniotic fluid MSCs (AF-MSCs) by UC- or PEG-based precipitation methods and conducted a comparison study of those EVs derived by the two methods: output, RNA, and protein expression of EVs and EV biological reaction in a THP-1-cell model of LPS induction, which was considered an infection model. There was no difference in morphology, size, or specific marker-positive ratio of PEG-EVs and UC-EVs, but PEG obtained more EV particles, protein, and RNA than the UC method. In our THP-1 model of LPS induction, MSC-EVs did not lead to a change in protein expression but inhibited the LPS-induced increase in cytokine secretion. UC-EVs were more effective for TNF-α inhibition, and PEG-EVs were more effective for IL10 inhibition. Thus, our findings provide evidence that PEG-based precipitation is a more efficient mesenchymal stem cell-extracellular vesicle-derived method than UC.
Analysis of the Demand for Continuing Education of Nurses in the Department of Infectious Diseases and Its Influencing Factors
Authors: Pang Xiaoqun , Zhang Meiling , Pang Huiyan
Published: September 2022

Infection department is unique in working hours, environment, content, methods, and skills requirements, and continuing education plays an important role in stabilizing and improving the professional level of nurses in the infection department. Understanding the needs of nurses in the infection department for continuing education and the possible influencing factors of participating in continuing education and providing a management basis for managers in a targeted way can make the role of continuing education fully play. In this study, according to the characteristics of the Department of Infection, a questionnaire was designed to investigate the continuing education needs of nursing staff in the Department of Infection and analyze the influencing factors. The results show that the nursing staff in the infection department had a greater demand for continuing education. Age, professional title, working life, hospital level, and marital status were the risk factors that affected their demand for continuing education.
Edaravone Dexborneol Alleviates Cerebral Ischemic Injury via MKP‐1‐Mediated Inhibition of MAPKs and Activation of Nrf2
Authors: Zhang Wen , Yang Haiguang , Gao Mei , Zhang Hengai , Shi Lili , Yu Xiaoyan , Zhao Rui , Song Junke , Du Guanhua
Published: September 2022

The edaravone and dexborneol concentrated solution for injection (edaravone‐dexborneol) is a medication used clinically to treat neurological impairment induced by ischemic stroke. This study was aimed at investigating the preventive effects and the underlying mechanisms of edaravone‐dexborneol on cerebral ischemic injury. A rat four‐vessel occlusion (4‐VO) model was established, and the neuronal injury and consequent neurological impairment of rats was investigated. Brain tissue malondialdehyde (MDA), myeloperoxidase (MPO), and nitric oxide (NO) levels were determined. The levels of proteins in mitogen‐activated protein kinases (MAPKs), nuclear factor erythroid 2‐related factor 2 (Nrf2), and nuclear factor‐κB (NF‐κB) signaling pathways were determined by western immunoblotting. The function of mitogen‐activated protein kinase phosphatase 1 (MKP‐1) was investigated using both western blot and immunofluorescence methods, and the effect of the MKP‐1 inhibitor, (2E)‐2‐benzylidene‐3‐(cyclohexylamino)‐3H‐inden‐1‐one (BCI), was investigated. The results indicated that edaravone‐dexborneol alleviated neurological deficiency symptoms and decreased apoptosis and neuron damage in the hippocampal CA1 area of the ischemic rats. Edaravone‐dexborneol increased the MKP‐1 level; decreased the phosphorylation of extracellular signal‐regulated kinase (ERK), c‐Jun N‐terminal kinase (JNK), and p38 mitogen‐activated protein kinase (p38 MAPK); inhibited NF‐κB p65 activation; and boosted Nrf2 activation, all of which were partially reversed by the MKP‐1 inhibitor, BCI. The above results indicated that the upregulation of MKP‐1 contributed to the protective effects of edaravone‐dexborneol against ischemic brain injury. Our findings support the hypothesis that edaravone‐dexborneol can alleviate cerebral ischemic injury via the upregulation of MKP‐1, which inhibits MAPKs and activates Nrf2.
Clinical Study of Anti-PD-1 Immunotherapy Combined with Gemcitabine Chemotherapy in Multiline Treatment of Advanced Pancreatic Cancer
Authors: Liu Yanfeng , Li Yanchuan , Du Shan , Fan Li , Wang Junyan
Published: September 2022

Objective. This study aimed to investigate the efficacy and safety of anti-PD-1 immunotherapy combined with gemcitabine chemotherapy in multiline treatment of advanced pancreatic cancer. Methods. A retrospective analysis was performed on the clinical data of 32 patients with advanced pancreatic cancer treated with sintilimab regimen from January 2019 to December 2021 in our hospital. All patients were followed up until death or April 2022, in the form of outpatient, in-hospital review, or telephone follow-up. Follow-up content included routine blood, liver and kidney functions, tumor markers, plain or enhanced abdominal CT, and abdominal MRI examinations. Clinical efficacy was evaluated according to mRECIST criteria, and the severity of adverse effects was evaluated according to American Institute for Cancer Research (AICR) Standard Term for Adverse Events, Version 5.0. Results. During treatment, the dosage of sintilimab was halved in 2 patients due to adverse reactions. All patients were treated with sintilimab for 1~10 times, with an average of

6
±
4

times. The total response rate (ORR) and disease control rate (DCR) were 6.25% and 12.50% and 25.00% and 37.50%, respectively, after 1 and 3 months of treatment. The mean follow-up time of 32 patients was 1-12 months, and the median follow-up time was

4
±
3

months. By the end point of follow-up, a total of 25 patients died, and the median progression-free survival (PFS) was 3.8 (95% CI (1.85-5.63)) months. The median overall survival (OS) was 5.1 months (95% CI (3.63~7.68). After treatment, the levels of tumor markers CA125, CEA and CA199 were partly decreased compared with those before treatment (all

P
<
0.001

). After treatment, the blood routine indexes d-dimer, CRP (C-reactive protein), NLR (neutral granulocyte to lymphocyte ratio), and MLR (monocyte to lymphocyte ratio) decreased compared with those before treatment. In 32 patients with advanced pancreatic cancer, the adverse reactions with an incidence more than 10% included fatigue, rash, hypothyroidism, hyperuricemia, and renal insufficiency. Only 2 patients showed grade 3 fatigue symptom, and all the others showed no adverse reactions of grades 3~5. In this study, all patients’ adverse reactions were relieved after symptomatic treatment. Conclusion. Gemcitabine chemotherapy in multiline treatment of advanced pancreatic cancer with sintilimab can achieve certain clinical benefits without serious adverse reactions.
Optimization Method of an Antibreast Cancer Drug Candidate Based on Machine Learning
Authors: Huang Zhibai , Jiang Shengji , Xiao Weiqiang
Published: September 2022

Breast cancer is a common but serious and even lethal disease. Fortunately, compared with other cancers, breast cancer treatments currently are relatively well developed. The use of specific drugs is typically essential in the majority of breast cancer treatment strategies. Given the aforementioned factors, it is important to continue researching effective antibreast cancer drug design. Machine learning-based computer-aided drug design is currently a common practice in both drug industries and academic institutes. According to the characteristics of breast cancer, we selected multiple candidate compounds; based on the corresponding molecular descriptors, biological activities, and pharmacokinetic properties, a dataset of inhibition potency and pharmacokinetic properties paired with multiple features of compounds was constructed. On this basis, the random forest method was utilized to choose greater-influenced feature embeddings; thus, 224 main operating variables were selected for further analysis; we then employed the efficient MobileNetV3 deep neural network as the backbone to establish the prediction models for the inhibition potency and pharmacokinetic properties of the compounds. After data preprocessing, the weights are obtained by training on the refined dataset. Finally, we define an optimization problem to discover compounds with the best properties. The problem is solved using the genetic algorithm with the acquired prediction model, and the solution value for the corresponding operating variables with the best clinical properties in theory is then obtained. Analysis demonstrates that our approach could be used to aid the screening process of antibreast cancer drug candidates.
Energy-Saving Benefits of Air-Source Heat Pump-Assisted Solar Water Heating Systems in Large Stadiums
Authors: Yang Xinghua
Published: September 2022

With the rising trend of national sports, sports events are more and more favored by people and many large stadiums have emerged as the times require. Due to the particularity of sports, large stadiums are often equipped with independent hot water preparation systems for the convenience of sports enthusiasts. However, the traditional hot water preparation process not only consumes a lot of energy but also brings a lot of potential environmental pollution, which seriously violates the original intention of hot water preparation. Solar energy is clean energy that can be recycled and has a promising market prospect, but its heat production is greatly affected by the weather. Based on this, the paper has proposed a new solar water heating system (SWHS) that relies on the assistance of an air source heat pump (ASHP), aiming to solve the problem of hot water preparation in large sports stadiums from both economic and stability aspects. Taking the Xi’an Olympic Sports Center as an example, the article established the ASHP-aided SWHS and analyzed the differences between the system and other hot water preparation methods in terms of energy efficiency and benefits in terms of economy and environment. The results of the study showed that the energy replacement factor of the ASHP-aided SWHS reached 0.91, which was equivalent to replacing 91% of the annual conventional energy use in one year with this system, with significant energy-saving benefits. This demonstrates the high applicability and energy efficiency of the ASHP-aided SWHS in large sports stadiums.
A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks
Authors: Yang Chengzhi , Guo Hongjun
Published: September 2022

With the development of deep learning theory and the decrease of the cost of acquiring massive data, the image semantic segmentation algorithm based on Convolutional Neural Networks (CNNs) is gradually replacing the conventional segmentation algorithm by its high accuracy segmentation performance. By increasing the amount of training data and stacking more convolutional layers to form Deep Convolutional Neural Networks (DCNNs), a neural network model with higher segmentation accuracy can be obtained, but it faces the problems of serious memory consumption and long latency. For some special application scenarios, such as augmented reality and mobile interaction, real-time processing cannot be performed. To improve the speed of semantic segmentation while obtaining the most accurate segmentation results as possible, this paper proposes a semantic segmentation algorithm based on lightweight convolutional neural networks. Taking the computational complexity and segmentation accuracy into account, the algorithm starts from the perspective of extracting high-level semantic features and introduces a position-attention mechanism with richer contextual information to model the relationship between different pixels, avoiding the convolutional local perceptual field to be too small. To recover clearer target boundaries, a channel attention mechanism is introduced in the decoding part of the model to mine more useful feature channel information and effectively improve the fusion of low-level features with high-level features. By verifying the effectiveness of the above model on a publicly available dataset and comparing it with the more popular semantic segmentation methods, the model proposed in this paper has higher semantic segmentation accuracy and reflects certain advantages in objective evaluation.
A Computationally Efficient Algorithm for DOA Estimation with Unfolded Coprime Linear Array
Authors: Pan Gong , Huafei Yin
Published: September 2022

In this paper, we investigate the direction of arrival (DOA) estimation problem with unfolded coprime linear array (UCLA) and propose a low computational complexity signal-subspace fitting (SF) algorithm. SF algorithm is able to achieve excellent DOA estimation performance while it requires global angular search (GAS). Especially in the several source signals situation, expensive complexity cost causes. To decrease computational complexity, we propose an initialized based SF (ISF) algorithm, which involves the several one dimensional (1D) partial angular search (PAS) instead of the multidimensional GAS. Consequently, the complexity is significantly decreased. Due to the full utilization of the array aperture, the proposed method in UCLA can attain better performance than general CLA (GCLA). In addition, as the SF is attractive in practical application, the proposed ISF algorithm lowers the computational cost, while achieving almost approximate estimation performance as traditional SF and noise subspace fitting (NF). Moreover, numerical simulations are provided and verify the effectiveness and the superiority of the proposed algorithm for the UCLA.
Nanomaterials in Sports Training and Its Biological Safety
Authors: Li Pengju
Published: September 2022

Nanomaterials have many special functions. Sports field provides a platform for nanomaterials to show their excellent performance. At the same time, nanomaterials in the body may also have negative effects on cells, lung tissue, liver and kidney tissue, and brain tissue; there are certain biological safety risks. Based on the above background, this article studies the application and biological safety of nanomaterials in sports training. In this article, silver nanoparticles were prepared by improved liquid-phase chemical reduction method and photochemical reduction method. The antibacterial properties of silver nanoparticles with different concentrations and sizes were tested and characterized, and the possible antibacterial mechanism was speculated. Nanosilver refers to the metallic silver element with the particle size to the nanoscale. The acute toxicity test and hemolytic test were carried out on the safety of silver nanoparticles. In the acute toxicity test, when 100 μL nanosilver solution was added, the visceral weight, body weight, and tissue sections of mice were almost not affected; in terms of biochemical indexes, all biochemical indexes returned to normal when the injection volume was 0.1 μL. The results show that nanosilver still has certain influence on biochemical indexes at high dose. How to reduce the influence will be one of the key work in the future. In addition, hemolysis test showed that no hemolysis occurred when nanosilver solution was injected at 2.77 μL. This will lay a foundation for the use of nanosilver sportswear in direct contact with human blood in the future.
Methods of Nonlinear Time Series Cycle Analysis in Big Data Environment and IoT Application
Authors: Xiong Ou , Li Shuxiang
Published: September 2022

There have been a lot of changes in nonlinear time series analysis techniques over the last few decades. They came from their time series background and have grown some of these techniques to try to fill in a gap in the ability to model and predict certain types of data, like chaotic and fixed systems. It is possible to find a lot of these systems all over different places in both natural and human worlds. This study explains how these techniques came to be, what they are based on, and how some of them can predict what will happen in the future. This study is trying to figure out how they work and what they could be used for. The contribution of this study is a different way to look at time series data. It looks at how the data is made and how big the time series is. Here, we talk about how the model comes together in terms of order. In this example, we look at the time series of the sectorial indices on the National Stock Exchange (India) to show that the model is getting close. Convergence also points out that, when we fit the same number of data points to the same model, we get the same thing every time. This shows that a true model correctly predicted the value of the future and that data always comes together in nature. A study found that the size of a big data time series should be taken into account when looking at the time series’ realization. This means that the DGP intervals for each study period can be the best representative intervals for that time period.
Application Research of Data Encryption Technology in Computer Network Information Security
Authors: Wang Meilin
Published: September 2022

In order to ensure the rights and interests of computer users, a method of data encryption technology in computer network information security is proposed. According to the symmetric encryption AES algorithm, the ECC system has higher security, slower decoding speed, smaller storage space occupation, and lower bandwidth requirements. The experimental results show that the safety mode length can reach 5 : 1, 6 : 1, 10 : 1 or even 35 : 1. Conclusion. The use of a hybrid cryptosystem based on MD5, AES, and elliptic curve keys can effectively make up for various problems and loopholes encountered in data transmission in current network security, and improve the security of information transmission in today’s social network.
Upper Extremity Function following Transradial Percutaneous Coronary Intervention: Results of the ARCUS Trial
Authors: Zwaan Eva M. , Cheung Elena S. , IJsselmuiden Alexander J. J. , Holtzer Carlo A. J. , Schreuders Ton A. R. , Kofflard Marcel J. M , Coert J. Henk
Published: September 2022

Objectives. To determine the incidence of upper extremity dysfunction (UED), after a transradial percutaneous coronary intervention (TR-PCI). Background. Transradial approach (TRA) is the preferred approach for coronary interventions. However, upper extremity complications may be underreported. Methods. The ARCUS was designed as a prospective cohort study, including 502 consecutive patients admitted for PCI. Patients treated with transfemoral PCI (TF-PCI) acted as a control group. A composite score of physical examinations and questionnaires was used for determining UED. Clinical outcomes were monitored during six months of follow-up, with its primary endpoint at two weeks. Results. A total of 440 TR-PCI and 62 control patients were included. Complete case analysis (n = 330) at 2 weeks of follow-up showed that UED in the TR-PCI group was significantly higher than that in the TF-PCI group: 32.7% versus 13.9%, respectively (

p
=
0.04

). The three impaired variables most contributing to UED were impaired elbow extension, wrist flexion, and extension. Multivariate logistic regression showed that smokers were almost three times more likely to develop UED. Conclusions. This study demonstrates that UED seems to occur two times more in TR-PCI than in TF-PCI at 2 weeks of follow-up. However, no significant long-term difference or difference between the intervention arm and the contralateral arm was found at all timepoints.
Radiomics Models Based on Magnetic Resonance Imaging for Prediction of the Response to Bortezomib‐Based Therapy in Patients with Multiple Myeloma
Authors: Li Yang , Yin Ping , Liu Yang , Hao Chuanxi , Chen Lei , Sun Chao , Wang Sicong , Hong Nan
Published: September 2022

Purpose. To identify significant radiomics features based on MRI and establish effective models for predicting the response to bortezomib‐based regimens. Materials and Methods. In total, 95 MM patients treated with bortezomib‐based therapy were enrolled, including 77 with bortezomib, cyclophosphamide, and dexamethasone (BCD) and 18 with bortezomib, lenalidomide, and dexamethasone (VRD). Based on T1‐weighted imaging (T1WI) and T2‐weighted imaging with fat suppression (T2WI‐fs), radiomics features were extracted and then selected. The random forest (RF), k‐nearest neighbor, support vector machine, logistic regression, decision tree, and Bayes models were built using the selected features. The predictive power of six models for response to BCD and VRD regimens were evaluated. The correlation between the selected features and progression‐free survival (PFS) was also analyzed. Results. Four wavelet features were correlated with BCD treatment response. The six models all showed predictive power for BCD regimen (AUC: 0.84‐0.896 in the training set, 0.801‐0.885 in the validation set), and RF performed relatively better than others. Nevertheless, all the BCD‐based models were incapable of predicting the VRD treatment response. The wavelet‐HLH_firstorder_kurtosis was also associated with PFS (log‐rank P = 0.019). Conclusion. The four wavelet features were valuable biomarkers for predicting the response to BCD regimen. The six models based on these features showed predictive power, and RF was the best. One wavelet feature was also a survival‐related biomarker. MRI‐based radiomics had the potential to guide clinicians in MM management.
[Retracted] Evaluation of the Antiasthmatic Activity of Carissa opaca in Animal Models
Authors: Ali Muddassar , Salma Umme , Khan Irfan Amir , Ahmad Taseer , Bashir Kashif , Khan Taous , Mahnashi Mater H. , Alhasaniah Abdulaziz H. , Al Awadh Ahmed A. , Almazni Ibrahim A. , Alshahrani Mohammed M. , Shah Abdul Jabbar
Published: September 2022

Carissa opaca Stapf ex Haines (C. opaca) fruit is used traditionally in the treatment of respiratory illnesses including asthma. However, there is no scientific evidence supporting its antiasthmatic activity. The current study was conducted to evaluate its antiasthmatic effects using in vivo and in vitro approaches. The methanolic crude extract of C. opaca fruit (Co.Cr.) was used and in vivo antiasthmatic activity was carried out using ovalbumin‐ (OVA‐) sensitized and OVA‐challenged BALB/c mice. In in vitro bronchorelaxant activity of crude extract, aqueous and n‐hexane fractions of C. opaca were carried out on isolated rat tracheal strips. Co.Cr. (200 and 400 mg/kg) attenuated ovalbumin‐induced changes in lung histochemistry with % decrease in peribronchial inflammation of 14.1 ± 0.21 and 65.8 ± 0.22 and % decrease in total inflammatory cell count of 35.7 ± 2.80 and 53.3 ± 2.30 in bronchoalveolar lavage fluid. Co.Cr., aqueous, and n‐hexane fraction of C. opaca attenuated the precontractions induced by high K+ (80 mM) and carbachol (1 μM), respectively. In conclusion, the results showed that C. opaca possesses antiasthmatic activity via relaxant effect on bronchial smooth muscle which is mediated through calcium channel blockade and antimuscarinic activity. This study provides scientific evidence of the traditional use of C. opaca in the management of allergic asthma.
A Modeling Method of Graded Porous Scaffold Based on Triply Periodic Minimal Surfaces
Authors: Zhang Zhuangya , Zhang Hui , Li Yaosong , Duan Mingde , Qin Shikun
Published: September 2022

In order to solve the design and regulation problems of graded porous scaffolds, the triply periodic minimal surface (TPMS) that based on implicit function was taken as the pore unit for constructing the porous scaffolds. And the TPMS structure was controlled by selecting different types of TPMS and defining the distance function. The transition of different structures of TPMS was performed by the weight fusion method. And the dual contouring (DC) algorithm and octree algorithm were used to divide the solid model of the defect bone into hexahedral elements to determine the target assembly spatial. Through the coordinate transformation of the isoparametric element method, the pore units were mapped into the hexahedral elements to construct porous structure. Finally, a Boolean operation was used to obtain a bone scaffold model with porous structure. The examples showed that the gradient model of various irregular pores could be constructed, and the pore size, porosity, and specific surface area of porous scaffolds could be controlled by adjusting the deformation, distribution, volume of the hexahedral elements, and the structure of the TPMS pore units, which provides a feasible method for the design and regulation of heterogeneous porous scaffolds.
DA-CNN-Driven Innovative Ideological Politics Education Management System
Authors: Yingkun Shan , Liang Chen , Jing Chu
Published: September 2022

With the rapid development of the Internet, the network has become an important part of the study, work, and life of all teachers and students in colleges and universities. It also brings great challenges to the traditional way of ideological and political education in colleges and universities. Colleges and universities have launched various beneficial attempts in the ideological and political education into the network. In this context, in order to improve the evaluation accuracy of ideological and political classroom teaching quality in colleges and universities, this paper puts forward an evaluation method of ideological and political classroom teaching quality in colleges and universities based on DA-CNN. On the basis of constructing the evaluation index system of ideological and political classroom teaching quality in colleges and universities by analytic hierarchy process, the scores of 25 evaluation indexes affecting the ideological and political teaching quality in colleges and universities are taken as the input of DA-CNN, and the comprehensive score of ideological and political teaching quality in colleges and universities is taken as the output of DA-CNN. At the same time, an innovative ideological and political education management system based on convolutional neural network is designed and developed, and the functional modules and database of the system are planned.
Nursing of Vulvar Cancer Radical Operation Combined with Laparoscopic Inguinal Lymph Node Dissection
Authors: Huang Simei , Qiu Feifei
Published: September 2022

Purpose. The application, development, and care of radical surgery combined with laparoscopic inguinal lymph node dissection for vulvar cancer. Methods. We searched the PubMed, Web of Science, the Cochrane Library, and EMBASE databases for published literature on the care of radical surgery combined with laparoscopic inguinal lymph node dissection for vulvar cancer up to June 2022. We used the following search terms and terms: “vulvar cancer,” “injury,” “radical vulvar cancer surgery,” “laparoscopic inguinal lymph node dissection,” and “care.” Results. Laparoscopic inguinal lymph node dissection has become a new surgical method for the treatment of vulvar cancer, and it effectively avoids all the problems associated with traditional surgery. In addition, radical vulvar cancer surgery and laparoscopic inguinal lymph node dissection combined with high-quality nursing interventions can promote patients’ recovery and reduce the occurrence of complications, which has important clinical significance. Conclusion. This article reviews the application, development, and nursing care of radical vulvar cancer surgery combined with laparoscopic inguinal lymph node dissection.