bluuebunny/crossref_metadata_2025 huggingface dataset:
Therapeutic Efficacy of Great Plantain (Plantago major L.) in the Treatment of Second-Degree Burn Wounds: A Case-Control Study
Authors: Keshavarzi Abdolkhalegh , Montaseri Hashem , Akrami Rahimeh , Moradi Sarvestani Hossein , Khosravi Fateme , Foolad Sara , Zardosht Mitra , Zareie Saeid , Saharkhiz Mohammad Jamal , Shahriarirad Reza
Published: August 2022

Background. Great plantain (Plantago major L. or P.major) is a medicinal plant that is available all around the world. The whole plant has several bioactive compounds including terpenoids, flavonoids, phenolic compounds, alkaloids, fatty acids, iridoid glycosides, polysaccharides, and vitamins. Scientific studies have recognized several medical benefits like wound healing, anti-inflammatory, antimicrobial, antiulcerative, and antioxidative agents. The wound-healing capacity of this plant has been investigated under in vivo and ex vivo conditions. In the current study, we aim to compare the therapeutic effect of the P.major extract with 1% sulfadiazine on the healing of second-degree burn wounds. Method. Second-degree burn victims were included in our study. The investigation and control group, respectively, received P. major ointment 10% and silver sulfadiazine ointment 1%. The bacterial culture from the wound site was taken on days 3, 7, 10, 13, and last day of hospitalization. Patients’ subjective complaints were obtained through the visual analog scale (VAS). All patients were treated and evaluated in the hospital. Result. Among the 15 patients, 11 were male, and the mean age was 33.3 years. The average complete healing duration was 11.73 vs. 13 days in the P. major and control group, respectively (

P
=
0.166

). On the third day, infection control was similar between the two groups, and on the seventh day, all bacterial cultures were negative. Although there was a significant reduction in pain scores during the recovery time, no significant differences in pain reduction were noted between the two groups (

P
=
0.849

). Conclusion. We showed that P.major ointment is a safe and suitable herbal compound in the treatment of second-degree burn wounds that not only has wound-healing properties but also is an analgesic and antimicrobial compound.
The Relationship between Symbolic Agricultural Products and Agricultural Economic Development Based on Numerical Analysis
Authors: Wen Hui
Published: August 2022

The development of geographically indicative (GI) agricultural products can effectively promote the development of local rural residents’ per capita net income (PCNI) and the gross output value of agriculture, forestry, animal husbandry, and fishery (GOV-AFAHF). This paper takes agricultural products with geographical indications in Anhui Province as the object of study and uses numerical analysis to analyze their application, geographical distribution, and various distribution in detail. By comparing it with the central region, this paper conducts an empirical study on its impact on agricultural economic development, analyzes its related variables and data, draws its effect on farmers’ PCNI, and on this basis puts forward some countermeasures. In order to make the agricultural products with GI in Anhui Province develop better, according to the results of comparative analysis and empirical analysis, it puts forward suggestions for regulating the development of management industry associations, implementing the regional branding strategy of GI agricultural products, and increasing the construction of rural infrastructure. In addition, the experiment shows that under the condition of controlling other influencing factors unchanged, for every 1% increase in GI agricultural products, the average increase of PCNI of rural residents is 0.08%, which further confirms the conclusion that GI agricultural products can promote the development of GOV-AFAHF.
Identification of Potential Biomarkers and Immune Infiltration Characteristics in Ulcerative Colitis by Combining Results from Two Machine Learning Algorithms
Authors: Bu Minchun , Cao Xiandong , Zhou Bo
Published: August 2022

Objective. This study was designed to identify potential biomarkers for ulcerative colitis (UC) and analyze the immune infiltration characteristics in UC. Methods. Datasets containing human UC and normal control tissues (GSE87466, GSE107597, and GSE13367) were downloaded from the GEO database. Then, the GSE87466 and GSE107597 datasets were merged, and the differentially expressed genes (DEGs) between UC and normal control tissues were screened out by the “limma R” package. The LASSO regression model and support vector machine recursive feature elimination (SVM-RFE) were performed to screen out the best biomarkers. The GSE13367 dataset was used as a validation cohort, and the receiver operating characteristic curve (ROC) was used to evaluate the diagnostic performance. Finally, the immune infiltration characteristics in UC were explored by CIBERSORT, and we further analyzed the correlation between potential biomarkers and different immune cells. Results. A total of 76 DEGs were screened out, among which 56 genes were upregulated and 20 genes were downregulated. Functional enrichment analysis revealed that these DEGs were mainly involved in immune response, chemokine signaling, IL−17 signaling, cytokine receptor interactions, inflammatory bowel disease, etc. ABCG2, HSPB3, SLC6A14, and VNN1 were identified as potential biomarkers for UC and validated in the GSE13367 dataset (

AUC
=
0.889

, 95% CI: 0.797~0.961). Immune infiltration analysis by CIBERSORT revealed that there were significant differences in immune infiltration characteristics between UC and normal control tissues. A high level of memory B cells, γδ T cells, activated mast cells, M1 macrophages, neutrophils, etc. were found in the UC group, while a high level of M2 type macrophages, resting mast cells, eosinophils, CD8+ T cells, etc. were found in the normal control group. Conclusion. ABCG2, HSPB3, SLC6A14, and VNN 1 were identified as potential biomarkers for UC. There was an obvious difference in immune infiltration between UC and normal control tissues, which may provide help to guide individualized treatment and develop new research directions.
Double Metric Resolvability in Convex Polytopes
Authors: Ahmad Muhammad , Alrowaili Dalal , Ali Rifaqat , Zahid Zohaib , Siddique Imran
Published: August 2022

Nowadays, the study of source localization in complex networks is a critical issue. Localization of the source has been investigated using a variety of feasible models. To identify the source of a network’s diffusion, it is necessary to find a vertex from which the observed diffusion spreads. Detecting the source of a virus in a network is equivalent to finding the minimal doubly resolving set (MDRS) in a network. This paper calculates the doubly resolving sets (DRSs) for certain convex polytope structures to calculate their double metric dimension (DMD). It is concluded that the cardinality of MDRSs for these convex polytopes is finite and constant.
Pan-Cancer Analysis of Voltage-Dependent Anion Channel (VDAC1) as a Cancer Therapeutic Target or Diagnostic Biomarker
Authors: Wang Zhitong , Cheng Yinchu , Song Zaiwei , Zhao Rongsheng
Published: August 2022

The voltage-dependent anion channel 1 (VDAC1), a pore protein located in the outer mitochondrial membrane, has been confirmed to be related to cancer in cell or animal evidence. However, there is no available pan-cancer analysis of VDAC1. Herein, we investigated the potential roles of VDAC1 in tumorigenesis and progression based on the Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and Clinical Proteomic Tumor Analysis Consortium (CPTAC) datasets. The expression of VDAC1 increased in most cancers, and the upregulation of VDAC1 distinctly correlated with the poor prognosis in patients, including breast invasive carcinoma, cervical squamous cell carcinoma, pancreatic adenocarcinoma, lung adenocarcinoma, and skin cutaneous melanoma. We also found VDAC1 S104 phosphorylation raised in various cancers, such as breast cancer, colon cancer, and lung adenocarcinoma. Moreover, the expression of VDAC1 was related to the estimated infiltration value of cancer-associated fibroblasts in bladder urothelial carcinoma, colon adenocarcinoma, kidney renal papillary cell carcinoma, and testicular germ cell tumors. At last, we showed that VDAC1-related oxidative phosphorylation and metabolic regulation may partially explain its association with tumorigenesis and progression. Taken together, this pan-cancer analysis provides relatively comprehensive information on the potential value of VDAC1 as a prognostic biomarker and therapeutic target.
Experimental Study on Danggui Shaoyao San Improving Renal Fibrosis by Promoting Autophagy
Authors: Fan Lian , Chen Hui-hua , Liu Hua-jun , Chen Hui-juan , Zhu Ling-ling , Zhang Ting
Published: August 2022

Renal fibrosis could lead to chronic kidney disease (CKD) developing into the end-stage with its pathological manifestation is the deposition of extracellular matrix (ECM). Danggui Shaoyao San (DSS) is one of the widely used herbal formulas in ancient China, which has been proven to have efficacy in the treatment of CKD. The experiment employed TGF-β1 to stimulate the NRK-52E cells to establish a renal fibrosis model. With rapamycin (RAPA) used as the positive control, we detected the expression of fibronectin (FN), caspase-3, and autophagy-related proteins in the NRK-52E cells treated with DSS by Western blot and immunofluorescence assay. In order to further verify autophagy-promoting effects of DSS, we adopted 3-MA to inhibit autophagy. The experiment has found that DSS can lower the protein levels of FN and caspase-3 in the NRK-52E cells induced by TGF-β1. After TGF-β1 stimulation, the expression of LC3 II/I and Beclin 1 has decreased, and the protein levels of mTOR and p62 have increased. Consistent with rapamycin, DSS has significantly reduced these effects of TGF-β1. It has also been found that DSS can increase the expression of LC3 II/I and Beclin 1 proteins and can reduce the level of mTOR in cells treated with 3-MA, suggesting that DSS can promote autophagy. In conclusion, DSS has been proved to reduce the apoptosis and fibrosis of NRK-52E cells induced by TGF-β1, which may be achieved by promoting autophagy.
Data Collection and Visualization Application of VMware Workstation Virtualization Technology in College Teaching Management
Authors: Xie Xilin , Chu Jun
Published: August 2022

In this study of data collection and visualization application of VMware Workstation virtualization technology in university teaching management, data processing is performed by the SQLServer database processor using VMware Workstation virtualization technology, and finally the radial-based teaching comprehensive evaluation neural network index is used to calculate the quality of teaching management to China’s teaching team is gradually balanced and the comprehensive quality of teaching team is improving; the academic atmosphere is more open; the fields and perspectives of academic research are richer; the distribution of teaching at all levels in China is more balanced, the comprehensive quality of teaching in China is improving, the system of education and scientific research in China’s colleges and universities is improving, and the ecological management system of colleges and universities is improving, and so on. It is also proposed to improve the academic level and establish a strict institutional threshold for the teaching industry in colleges and universities; to effectively implement the policy of freedom and equality in academic and scholarly circles, and improve the system of teaching, principal appointment, and evaluation in higher education institutions; to insist on implementing the principle of academic fairness and optimizing the teaching evaluation system; to innovate and implement the incentive mechanism of teaching in colleges and universities according to the characteristics of talent training of teaching academic career ability; and to establish the access system of teaching career development in colleges and universities to promote academic career development and other suggestions of big data management of teaching in colleges and universities.
A Dynamic Community Detection Method for Complex Networks Based on Deep Self-Coding Network
Authors: Zhang Yusha , Xiao Xiongliang
Published: August 2022

Aiming at the problem of community detection in complex dynamic networks, a dynamic community detection method based on graph convolution neural network is proposed. An encoding-decoding mechanism is designed to reconstruct the feature information of each node in the graph. A stack of multiple graph convolutional layers is considered as an encoder that encodes the node feature information into the potential vector space, while the decoder employs a simple two-layer perceptron to reconstruct the initial node features from the encoded vector information. The encoding-decoding mechanism achieves a re-evaluation of the initial node features. Subsequently, an additional local feature reconstruction loss is added after the decoder to aid the goal of graph classification. Further, stochastic gradient descent is applied to solve the problem in the loss function. Finally, the proposed model is experimentally validated based on the Karate Club and Football datasets. The experimental results show that the proposed model improves the NMI metric by an average of 7.65% and effectively mitigates the node oversmoothing problem. The proposed model is proved to have good detection accuracy.
A Comprehensive Survey of Abstractive Text Summarization Based on Deep Learning
Authors: Zhang Mengli , Zhou Gang , Yu Wanting , Huang Ningbo , Liu Wenfen
Published: August 2022

With the rapid development of the Internet, the massive amount of web textual data has grown exponentially, which has brought considerable challenges to downstream tasks, such as document management, text classification, and information retrieval. Automatic text summarization (ATS) is becoming an extremely important means to solve this problem. The  core of ATS is to mine the gist of the original text and automatically generate a concise and readable summary. Recently, to better balance and develop these two aspects, deep learning (DL)-based abstractive summarization models have been developed. At present, for ATS tasks, almost all state-of-the-art (SOTA) models are based on DL architecture. However, a comprehensive literature survey is still lacking in the field of DL-based abstractive text summarization. To fill this gap, this paper provides researchers with a comprehensive survey of DL-based abstractive summarization. We first give an overview of abstractive summarization and DL. Then, we summarize several typical frameworks of abstractive summarization. After that, we also give a comparison of several popular datasets that are commonly used for training, validation, and testing. We further analyze the performance of several typical abstractive summarization systems on common datasets. Finally, we highlight some open challenges in the abstractive summarization task and outline some future research trends. We hope that these explorations will provide researchers with new insights into DL-based abstractive summarization.
Application of Patent Right and Trademark Right in Packaging Design Based on Computer Nonlinear Prediction Systems for Virtual Reality Technology
Authors: Xin Jia , Yan Guo , Song Qiao
Published: August 2022

Comprehensively strengthening the protection of intellectual property rights (IPRs) and stimulating the vitality of innovation to foster a new development paradigm, innovation is the primary driving force behind development, and protecting IPR is equal to protecting innovation. China is changing from Chinese products to Chinese brands, the need to comprehensively strengthen IPR protection from the perspective of national strategy, so as to promote the building of a modernized economy, stimulate the innovation vitality of the whole society, and foster a new development paradigm. This paper is based on application of patent right and trademark right in packaging design based on computer nonlinear prediction systems for virtual reality technology; from the perspective of intellectual property protection and innovation promotion, combining with several cases of packaging design in computer nonlinear prediction system, this paper expounds different forms of intellectual property creation in packaging design practice, and the irreplaceable important role that intellectual property protection plays in the follow-up market operation of products. At the same time, the combination of computer nonlinear virtual reality technology and packaging design can provide more powerful support for the creation and experience of commodity packaging virtual world, emphasizing the importance and urgency of the creative industry to improve the knowledge level of intellectual property, and the ability to create, apply, and protect intellectual property.
Family Exit and Firms’ Investment Efficiency Based on Dynamic Changes: Evidence from Chinese Family Firms
Authors: Wang Tengyan , Peng Qiaoling , Song Haiyan
Published: August 2022

This study provides evidence about the influence of family exit on firms’ investment efficiency using a sample of 6,842 firm-year observations of Chinese family (and family-exiting) firms from 2003 to 2019. Based on panel data, we find that family exit has negative effects on firms’ investment efficiency. Further analysis also indicates that family exit can decrease firms’ investment efficiency under low investment levels and increase their investment efficiency under high investment levels. We test the market reaction when family members are punished by the SEC and find that the market’s reaction is significantly negative, which implies that the capital market cares about family managers and controllers.
IgA‐Type Enterovirus Antibodies Are Increased among Adults and Children with Recently Diagnosed Type 1 Diabetes
Authors: Alnek Kristi , Talja Ija , Laht Brita , Metsküla Kaja , Mandel Maire , Reppo Ingrid , Lubi Maire , Uibo Raivo
Published: August 2022

Enteroviruses (EV) are among the leading environmental triggers of childhood‐onset type 1 diabetes (T1D). Our aim was to determine the prevalence of antibodies against EV and their association with T1D in different age groups (n = 62), including young adults, and to compare these data with results from HLA‐matched control participants (n = 62). IgA, IgG, and IgM antibodies against EV were detected. IgA EV antibodies were present in 46.8% of participants with T1D (median level 10.9 EIU) and in 11.3% of controls (median level 3.4 EIU). IgA EV positivity and higher level of IgA EV antibodies were both significant risk factors for T1D (odds ratio (OR) 8.33; 95% confidence interval (CI) 2.52–27.6; p = 0.0005 and OR 1.04; 95% CI 1.01–1.06; p = 0.0105, respectively). Importantly, the prevalence of IgA EV antibodies in the subgroups of both children and young adults was also significantly different between participants with T1D and their matched controls (p = 0.0089 and p = 0.0055, respectively). Such differences were not seen for IgG and IgM EV antibodies. However, IgG EV antibodies were associated with 65 kDa glutamic acid decarboxylase antibodies, but not with zinc transporter 8 and protein tyrosine phosphatase IA2 antibodies. The genotype frequency of PTPN22 (rs2476601) and IFIH1 (rs1990760) was not associated with EV positivity. This study showed that EV infections may be an important disease‐promoting factor of T1D not only in childhood‐onset but also in adult‐onset T1D. However, to further confirm this association, direct virological studies are needed in the latter T1D group.
Predictors of Stent Restenosis in Han and Uygur Patients with Coronary Heart Disease after PCI in the Xinjiang Region
Authors: Wang Jiao , Yang Yuchun , Zhang Lei , He Pengyi , Mu Huyati
Published: August 2022

Background. Stent restenosis after PCI seriously affects the efficacy and prognosis; therefore, the study of ISR risk factors has become an urgent topic to be solved. Objective. To investigate the risk factors for in-stent restenosis (ISR) after percutaneous coronary intervention (PCI) in Han and Uygur patients with coronary heart disease. Methods. The clinical data of 345 Han and 127 Uygur patients who underwent intracoronary stent implantation were divided into an ISR group and a non-ISR group. The general clinical data, laboratory indicators, and coronary artery lesions were compared. Results. Age (OR = 1.040, 95% CI: 1.006∼1.075), triglycerides (OR = 1.440, 95% CI: 1.050∼1.973), total cholesterol (OR = 5.256, 95% CI: 2.826∼9.773), and ApoB (OR = 137.540, 95% CI: 11.364∼899.455) were independent risk factors for ISR after PCI in the Han patients, while ApoAI (OR = 0.002, 95% CI: 0.001∼0.011), MCV (OR = 0.824, 95% CI: 0.744∼0.911), MCH (OR = 0.421, 95% CI: 0.324∼0.548), and MCHC (OR = 0.934, 95% CI: 0.903∼0.965) were protective factors of ISR after PCI in Han patients, and the logistic regression equation composed of various factors predicted that the area under the ROC curve of ISR was 0.905. ApoB (OR = 11.571, 95% CI: 1.667∼80.340), Gensini score (OR = 1.017, 95% CI: 1.003∼1.031), and diabetes history (OR = 3.474, 95% CI: 1.189∼10.151) were independent risk factors for ISR after PCI in Uygur patients, and the area under ROC curve of ISR predicted by logistic regression equation is 0.807. The predictive efficiency of the Gensini score and ApoB level for ISR in Uygur patients was higher than that in Han, while the predictive efficiency of levels of ApoAI and MCH for ISR in Han patients was higher than that in Uygur (

P
<
0.05

). Conclusion. The independent risk factors for ISR after PCI in Han and Uygur patients in Xinjiang are different.
MicroRNA-29a-3p Regulates SH-SY5Y Cell Proliferation and Neurite Growth through Interaction with PTEN-PI3K/AKT/mTOR Signaling Pathway
Authors: Gao Wansheng , Yang Han , Huang Wenbo , Yang Yanfeng , Li Dongsheng , Wei Liang
Published: August 2022

The effects of microRNA-29a-3p in the proliferation process of nerve cells are unclear. The purpose of this study is to delve into the regulatory role of microRNA-29a-3p, via interaction with phosphatase and tension homolog (PTEN), in the SH-SY5Y cell proliferation process. Different expressions of microRNA-29a-3p in the SH-SY5Y cells were constructed by transfected miRNA-29a-3p mimic and inhibitor. The effects of cell transfection and the mRNA expressions of PTEN, Akt, and mTOR were detected by qPCR. The expressions of PTEN, Akt, and mTOR protein and the phosphorylation levels of Akt and mTOR were examined using Western blotting. Nerve cell proliferation activity and neurite length of each group were measured and examined by the use of 3-(4, 5-dimethyl-2-thiazolyl)-2, 5-diphenyl-2Htetrazolium bromide (MTT), and morphological examination. We observed that the levels of PTEN mRNA and protein were distinctly decreased in the microRNA-29a-3p mimic group, but the expressions of the phosphorylated Akt and mTOR mRNA and protein were distinctly upregulated. In the transfected miRNA-29a-3p inhibitor SH-SY5Y cells, the expressions of miRNA-29a-3p were significantly suppressed; however, the expressions of PTEN gene and protein were significantly enhanced. The expressions of phosphorylated Akt and mTOR in the downregulated microRNA-29a-3p group distinctly were suppressed. The SH-SY5Y cell proliferation activity and neurite length in the upregulated microRNA-29a-3p group increased significantly. Our findings revealed that microRNA-29a-3p could enhance the proliferation activity of SH-SY5Y cells and promote neurite growth by inhibiting the expression of PTEN and regulating PI3K/Akt/mTOR signaling pathway.
The Lévy Flight of Cities: Analyzing Social‐Economical Trajectories with Auto‐Embedding
Authors: Tian Linfang , Zhao Kai , Yin Jiaming , Vo Huy , Rao Weixiong
Published: August 2022

Lévy flights are useful in stochastic measurement, such as biology, human mobility, and financial mathematics, where trajectories contain many short flights and some long flights, and the step‐lengths follow a power‐law distribution. For cities inhabited by human beings, this paper proposes to use latent factors to study social‐economical development trajectories and observes that the trajectories of four Asian cities exhibit Lévy flight characteristics. We collect the social and economical data such as GDP, goods producing industries, population, and general tertiary education, and map these data into social or economical factor through a deep‐learning embedding method auto‐encoder. We find that the step‐lengths of these urban social‐economical trajectories can be fitted approximately as a power‐law distribution. We use the stochastic multiplicative processes (SMPs) to explain such pattern, wherein the presence of a boundary constraint, the SMP, leads to a power‐law distribution. It means that these urban social‐economical trajectories follow a Lévy flight pattern, where some years have large changes and many years have little changes.
Biologically Derived Gold Nanoparticles and Their Applications
Authors: Roy Arpita , Pandit Chetan , Gacem Amel , Alqahtani Mohammed S. , Bilal Muhammad , Islam Saiful , Hossain Md. Jamal , Jameel Mohammed
Published: August 2022

Nanotechnology is a rapidly evolving discipline as it has a wide variety of applications in several fields. They have been synthesized in a variety of ways. Traditional processes such as chemical and physical synthesis have limits, whether in the form of chemical contamination during synthesis operations or in subsequent applications and usage of more energy. Over the last decade, research has focused on establishing easy, nontoxic, clean, cost‐effective, and environmentally friendly techniques for nanoparticle production. To achieve this goal, biological synthesis was created to close this gap. Biosynthesis of nanoparticles is a one‐step process, and it is ecofriendly in nature. The metabolic activities of biological agents convert dissolved metal ions into nanometals. For biosynthesis of metal nanoparticles, various biological agents like plants, fungus, and bacteria are utilized. In this review paper, the aim is to provide a summary of contemporary research on the biosynthesis of gold nanoparticles and their applications in various domains have been discussed.
Seismic Signal-Based Investigation on the Disaster Differences between 2021 Yangbi Ms 6.4 Earthquake and 2014 Ms 6.5 Ludian Earthquake in Yunnan Province, China
Authors: Chen Jinchang , Che Ailan , Wang Lanmin , Jiang Lixin
Published: August 2022

An Ms 6.4 earthquake occurred in Yangbi County, Yunnan Province, on May 21, 2021. The magnitude is only 0.1 difference when compared with the 2014 Ms 6.5 earthquake in Ludian County, Yunnan Province, but the disasters show a big difference. Seismic signal includes the comprehensive information of source, propagation path, and site effect, which directly reflect the effect of the earthquake on the ground. The study mainly investigated the difference between seismic signals of two events in time domain and time-frequency-energy space based on variational mode decomposition and Hilbert transform to clarify the reasons for disaster differences. Most damaged buildings are column-and-tie timber structures with Earth walls with local collapse or vertical crack at the corner of the Earth wall in the Yangbi earthquake. Multistorey buildings are intact, and a few small landslides are triggered, whereas, in the Ludian earthquake, multistorey buildings with the frame structure and masonry structure occurred with serious X-type cracking, large interlayer displacement, and even complete collapse, and large landslides with length about 165 m are triggered. 53LLT and 53YBX are two strong motion stations in the Ludian earthquake and Yangbi earthquake, respectively, and are near the disaster investigation points. Peak ground acceleration in 53LLT is up to 949.2 cm/s2, which is larger than 720.3 cm/s2 in 53YBX, and the duration in 53LLT is longer than 53YBX. The instantaneous energy of 53YBX is concentrated within 0–10 Hz and 10–20 Hz, respectively; however, the instantaneous energy of 53LLT is concentrated at 5 Hz. Cumulative energy of 53YBX is mainly distributed at 0–5 Hz and 10–20 Hz, which is around the natural frequency of column-and-tie timber structure, while the energy of 53LLT is concentrated at 1.6 Hz and is much greater than other stations. Thus, large energy in high frequency caused the instantaneous and cumulative damage to short-period structures in Yangbi County and may cause the resonance of column-and-tie timber structure, and large energy in low frequency caused the instantaneous and cumulative damage to long-period structures of Longtou Village in Ludian earthquake. The result is meaningful to understanding the seismic disasters from the characteristics of seismic signals and can provide a reference for the seismic design of structures.
Personalized Item Recommendation Algorithm for Outdoor Sports
Authors: Lei Hao , Shan Xinru , Jiang Liwei
Published: August 2022

With the rapid development of China’s economy, people are eager for an effective way to relieve work pressure and strengthen their health at the same time. Outdoor sport is one of the best choices for people. However, the amount of recommended data on the network is very large. As a result, when people understand outdoor sports through the network, they cannot effectively obtain the information they want. This is the problem of “information overload,” and personalized recommendation system can effectively alleviate this problem. In order to effectively recommend outdoor sports to users, a useful attempt was made in the personalized recommendation system for outdoor sports in this paper. The specific work of this paper is as follows: firstly, the current situation of outdoor sports in China was summarized, and the related technologies of the recommendation system were studied, including user modeling technology, recommendation target modeling technology, and recommendation algorithm. In order to obtain better recommendation effect, this paper proposes to mix user-based collaborative filtering recommendation algorithm, project-based collaborative filtering recommendation algorithm, and content-based recommendation algorithm. The hybrid algorithm adopts the way of feature expansion and weighted combination. Firstly, the hybrid model (model 1) of user-based collaborative filtering recommendation and content-based recommendation is obtained. Secondly, the hybrid model (model 2) based on project collaborative filtering recommendation and content-based recommendation was obtained. Finally, model 1 and model 2 were combined together to get a hybrid model with better final recommendation effect. For the common cold start problem in the recommendation system, the system adopts content-based recommendation algorithm to solve it.
Prediction of Phase-Controlled Breaking Zero Point of Electronic and Electrical Fault Current considering Branch Definition Algorithm
Authors: Li Su
Published: August 2022

Phase-control technology, which is also called simultaneous interconnection technology, is one of the latest developments in intelligent interconnection. With the subsequent development of the short-circuit system, which increased significantly, the switching capacity of the switch is tested. Applying arc power to the contact holes during a short circuit also causes extensive damage to the switch contacts, which severely affects the operation and life of the switch. To solve this problem, this paper introduces the branch definition algorithm, describes different types of faults occurring in power systems, proposes a general scheme for fault current phase-controlled breaking, derives a fault occurrence detection method and a phase control method, and performs a simulation analysis of the proposed branch definition algorithm; a single-phase short-circuit current model is built; and the algorithm is tested using simulation data. The oscilloscope acquisition data were simulated and analyzed to obtain the characteristic parameters of the waveform, and the online simulation results obtained were analyzed with the oscilloscope data. The experimental results show that the system designed in this paper can accurately predict the zero value, and the zero values obtained from four experiments conducted are 34.52 ms, 34.46 ms, 29.9 ms, and 29.84 ms, respectively.
Intracerebral Transplantation of Mesenchymal Stromal Cell Compounded with Recombinant Peptide Scaffold against Chronic Intracerebral Hemorrhage Model
Authors: Takamiya Soichiro , Kawabori Masahito , Kitahashi Tsukasa , Nakamura Kentaro , Mizuno Yuki , Yasui Hironobu , Kuge Yuji , Tanimori Aki , Takamatsu Yasuyuki , Yuyama Kohei , Shichinohe Hideo , Fujimura Miki
Published: August 2022

Background. Due to the lack of effective therapies, stem cell transplantation is an anticipated treatment for chronic intracerebral hemorrhage (ICH), and higher cell survival and engraftment are considered to be the key for recovery. Mesenchymal stromal cells (MSCs) compounded with recombinant human collagen type I scaffolds (CellSaics) have a higher potential for cell survival and engraftment compared with solo-MSCs, and we investigated the validity of intracerebral transplantation of CellSaic in a chronic ICH model. Methods. Rat CellSaics (rCellSaics) were produced by rat bone marrow-derived MSC (rBMSCs). The secretion potential of neurotrophic factors and the cell proliferation rate were compared under oxygen-glucose deprivation (OGD) conditions. rCellSaics, rBMSCs, or saline were transplanted into the hollow cavity of a rat chronic ICH model. Functional and histological analyses were evaluated, and single-photon emission computed tomography for benzodiazepine receptors was performed to monitor sequential changes in neuronal integrity. Furthermore, human CellSaics (hCellSaics) were transplanted into a chronic ICH model in immunodeficient rats. Antibodies neutralizing brain-derived neurotrophic factor (BDNF) were used to elucidate its mode of action. Results. rCellSaics demonstrated a higher secretion potential of trophic factors and showed better cell proliferation in the OGD condition. Animals receiving rCellSaics displayed better neurological recovery, higher intracerebral BDNF, and better cell engraftment; they also showed a tendency for less brain atrophy and higher benzodiazepine receptor preservation. hCellSaics also promoted significant functional recovery, which was reversed by BDNF neutralization. Conclusion. Intracerebral transplantation of CellSaics enabled neurological recovery in a chronic ICH model and may be a good option for clinical application.
Chondroprotective Effects of Gubitong Recipe via Inhibiting Excessive Mitophagy of Chondrocytes
Authors: Yu Xin-bo , Chen Guang-yao , Zhou Li , Deng Li-li , Song Wei-jiang , Chen Jia-qi , He Qian , Xu Cai-qin , Luo Jing , Tao Qing-wen
Published: August 2022

Objective. Osteoarthritis (OA) is the most common degenerative joint disorder and a leading cause of disability. A previous randomized controlled trial has shown that Gubitong (GBT) recipe can improve OA-related symptoms and articular function without noticeable side effects. However, the underlying mechanisms remain unclear. This study aims to explore the therapeutic mechanisms of the GBT recipe for OA through in vivo and in vitro experiments. Methods. Rats of the OA model were established by Hulth surgery and intervened with the GBT recipe and then were subjected to pathological assessment of the cartilage. Matrix metalloproteinase 13 (MMP-13) expression in cartilage tissues was assessed by immunohistochemical staining. Chondrocytes were isolated from sucking rats and stimulated with LPS to establish an in vitro model. After intervened by water extraction of the GBT recipe, the fluorescent signal of Mtphagy Dye and mitochondrial membrane potential (Δψm) were detected to determine the states of mitophagy and mitochondrial dynamics of chondrocytes in vitro, respectively. Western blot test was used to detect levels of proteins related to catabolism of the cartilage matrix, mitophagy, and PI3K/AKT pathway. Results. In in vivo experiments, the GBT recipe can effectively inhibit the cartilage degeneration of chondrocytes in OA rats, as well as markedly suppress the expression of MMP-13. In vitro experiments on LPS-induced chondrocytes exhibited increase in mitochondrial depolarization and excessive mitophagy, and the GBT recipe can alleviate these changes. LPS-stimulated chondrocytes showed increases in MMP-13, PINK1, and Parkin in cell lysates and LC3II/LC3I ratio in the mitochondrial fraction, and the GBT recipe can inhibit these increases in a dose-dependent manner. Moreover, the GBT recipe can attenuate the abnormal activation of PI3K/AKT pathway induced by LPS. Conclusion. The GBT recipe exhibits chondroprotective effects through inhibiting excessive mitophagy of chondrocytes, which may be associated with its inhibitory effect on the abnormal activation of PI3K/AKT pathway.
A Two-Workshop Collaborative, Integrated Scheduling Algorithm considering the Prescheduling of the Root-Subtree Processes
Authors: Xie Zhiqiang , Teng Haikun , Ming Jingwei , Yue Xiaoguang
Published: August 2022

Aiming at the existing two-workshop integrated scheduling algorithm with the same equipment resources, a unified vertical or horizontal scheduling rule is used to sort all processes and ignore the vertical and horizontal characteristics of the associated process position in the process tree, which affects the scheduling results. A two-workshop collaborative, integrated scheduling algorithm considering the prescheduling of the Root-Subtree processes is proposed. The algorithm proposes a process conflict adjustment strategy for the horizontal equipment constraints. The same equipment Root-Subtree processes are sorted and loaded into the corresponding equipment queue through the vertical and horizontal prescheduling method in a single-workshop environment, and it combines with the schedulable process set to dequeue the first process of the queue. To enhance the flexibility of process scheduling, it proposes a process conflict adjustment strategy for the vertical process tree constraints in the two workshops to determine the processing workshop of the processes and the actual start time, which narrows the search comparison for schedulable processes. The example tests show that the algorithm not only excavates and utilizes the effectiveness of the vertical and horizontal characteristics of the process tree, but also considers the process migration time. Therefore, the effect is better and more practical.
Explanatory Optimization of the Prediction Model for Building Energy Consumption
Authors: Li Huiyu , Dong Hailong
Published: August 2022

Traditional prediction models, which are based on artificial neural networks (ANNs), consider the various factors affecting building energy consumption comprehensively. However, their explanatory power is not ideal in actual application, resulting in prediction errors of building energy consumption. Thus, this paper pursues the explanatory optimization of the prediction model for building energy consumption. First, the authors displayed the architecture of the prediction model for building energy consumption, which is based on the temporal pattern attention mechanism (TPAM), and explained the principle of predicting building energy consumption. Then, the input of the TPAM was illustrated, and the execution steps of the model were depicted. Based on feature importance and the Shapley additive explanations (SHAP) method, the explanatory power of the proposed prediction model was analyzed, from the perspective of the time series features of building energy consumption prediction. The proposed model was proved effective through experiments.
The Microenvironment That Regulates Vascular Wall Stem/Progenitor Cells in Vascular Injury and Repair
Authors: Ma Ying , Li Yuan , Yang Yan , Li Pengyun
Published: August 2022

Vascular repair upon injury is a frequently encountered pathology in cardiovascular diseases, which is crucial for the maintenance of arterial homeostasis and function. Stem/progenitor cells located on vascular walls have multidirectional differentiation potential and regenerative ability. It has been demonstrated that stem/progenitor cells play an essential role in the basic medical research and disease treatment. The dynamic microenvironment around the vascular wall stem/progenitor cells (VW‐S/PCs) possesses many stem cell niche‐like characteristics to support and regulate cells’ activities, maintaining the properties of stem cells. Under physiological conditions, vascular homeostasis is a cautiously balanced and efficient interaction between stem cells and the microenvironment. These interactions contribute to the vascular repair and remodeling upon vessel injury. However, the signaling mechanisms involved in the regulation of microenvironment on stem cells remain to be further elucidated. Understanding the functional characteristics and potential mechanisms of VW‐S/PCs is of great significance for both basic and translational research. This review underscores the microenvironment‐derived signals that regulate VW‐S/PCs and aims at providing new targets for the treatment of related cardiovascular diseases.
Efficacy and Safety of Different Thermal Ablation Modalities for Papillary Thyroid Microcarcinoma: A Network Meta‐Analysis
Authors: Wu Lieming , Chen Xi
Published: August 2022

Background. Small thyroid‐like carcinoma (PTMC) is one of the most common subtypes of thyroid cancer. The main treatment options include surgery and radiofrequency ablation (RFA), microwave ablation (MWA), and laser ablation (LA). Thermal ablation has the advantage of being less invasive and has fewer complications than traditional surgical treatment. Objective. The objective is to explore the efficacy and safety of PTMC by different thermal ablation modalities through a network meta‐analysis. Methods. From the database establishment to October 2021, a computerized search of the Chinese Knowledge Infrastructure (CKNI), VIP Chinese Science and Technology Journal Full‐Text Database (VP‐CSJFD), WanFang Data journal article resource (WangFang), PubMed, the Cochrane Library, and Embase were performed to include the different methods of thermal ablation for small thyroid carcinoma. A retrospective study of different methods of thermal ablation of small thyroid carcinoma was included. Results. A total of 12 retrospective studies involving 1,926 patients with PTMC were included, all of which were of high quality. This study mainly involved RFA, MWA, LA, and ethanol combined with radiofrequency ablation (EA + RFA). Network meta‐analysis showed no significant difference between interventions (p > 0.05) in terms of recurrence rate. Conclusions. Surgical resection may be the measure with the lowest recurrence rate after treatment of PTMC, LA may be the measure with the lowest incidence of complications after treatment, and RFA may be the measure with the least length of hospital stay, operation time, and postoperative lymph node metastasis rate. However, due to the limitations of network meta‐analysis, this result still needs to be treated with caution, and more high‐quality, large‐sample clinical studies are recommended for further verification.
E-Commerce Network Security Based on Big Data in Cloud Computing Environment
Authors: Zeng Yifu , Ouyang Shuosi , Zhu Tuanfei , Li Chuang
Published: August 2022

The popularization and development of big data and cloud computing in e-commerce still face a series of problems, among which the most prominent one is security. How to establish an effective risk assessment system in the cloud computing environment is the primary concern of e-commerce enterprises. This article mainly discusses the network security of e-commerce based on big data in cloud computing environment. Because the servers of the cloud computing platform are deployed on a global scale, all the above nine processes can be carried out in real time, thereby improving the operational efficiency of the enterprise. Moreover, in large-scale e-commerce applications, according to probability statistics, the distribution of all these process steps must be uniformly distributed. Cloud computing is the commercial realization of computing resources, which is essentially a producer-consumer model. Cloud computing can balance the load to the greatest extent and solve various inconsistencies that may exist in the process of data processing. Balanced conflict greatly improved the solution. The speed, at which the case process runs, maximizes the potential of cloud computing on a commercial level. This article makes an effective investigation of information assets in various aspects. In this article, the comprehensive risk value of the system was calculated as 4.4. According to the risk level, this article sets up the electronic commerce system’s physical security and access and data backup control vulnerability to resolve problems; another big data reflect is also not allowed to ignore. In view of these problems, this article proposes corresponding improvement strategies responsibility allocation.
A Study on the Agent in Fighting Games Based on Deep Reinforcement Learning
Authors: Liang Hai , Li Jiaqi
Published: August 2022

In this study, an end-to-end noninvasive frame system available for varieties of complete information games was first implemented. After altering some codes, the system can be rapidly and effectively applied in a series of complete information games (e.g., NI-OH, The King of Fighters, and Maple Story), other than the fighting games. The fighting game Street Fighter V was selected as the experimental subject to explore the behavioral strategies of the agent in fighting games and verify both the intelligence and validity of deep reinforcement learning in the games. During the experiment, a double deep-Q network (DDQN) was adopted to train the agent in the form of fighting against in-game AI. In this process, 2590 rounds of agent training were conducted, generating a winning rate of nearly 95%. Then, the trained model underwent a series of tests, achieving winning rates of 100% (10 rounds), 90% (30 rounds), and 96% (50 rounds).
Targeting RAS Mutant Colorectal Cancer with Dual Inhibition of MEK and CDK4/6
Authors: Sorokin Alexey V. , Kanikarla Marie Preeti , Bitner Lea , Syed Muddassir , Woods Melanie , Manyam Ganiraju , Kwong Lawrence N. , Johnson Benny , Morris Van K. , Jones Philip , Menter David G. , Lee Michael S. , Kopetz Scott
Published: August 2022

KRAS and NRAS mutations occur in 45% of colorectal cancers, with combined MAPK pathway and CDK4/6 inhibition identified as a potential therapeutic strategy. In the current study, this combinatorial treatment approach was evaluated in a co-clinical trial in patient-derived xenografts (PDX), and safety was established in a clinical trial of binimetinib and palbociclib in patients with metastatic colorectal cancer with RAS mutations. Across 18 PDX models undergoing dual inhibition of MEK and CDK4/6, 60% of tumors regressed, meeting the co-clinical trial primary endpoint. Prolonged duration of response occurred predominantly in TP53 wild-type models. Clinical evaluation of binimetinib and palbociclib in a safety lead-in confirmed safety and provided preliminary evidence of activity. Prolonged treatment in PDX models resulted in feedback activation of receptor tyrosine kinases and acquired resistance, which was reversed with a SHP2 inhibitor. These results highlight the clinical potential of this combination in colorectal cancer, along with the utility of PDX-based co-clinical trial platforms for drug development.

Significance:

This co-clinical trial of combined MEK-CDK4/6 inhibition in RAS mutant colorectal cancer demonstrates therapeutic efficacy in patient-derived xenografts and safety in patients, identifies biomarkers of response, and uncovers targetable mechanisms of resistance.