bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Filtering and Classification Method of Interactive Music Education Resources Based on Neural Network
Authors: Xue Biyun , Song Ye
Published: August 2022

This work intends to classify and integrate music genres and emotions to improve the quality of music education. This work proposes a web image education resource retrieval method based on semantic network and interactive image filtering for a music education environment. It makes a judgment on these music source data and then uses these extracted feature sequences as the emotions expressed in the model of the combination of Long Short-Term Memory (LSTM) and Attention Mechanism (AM), thus judging the emotion category of music. The emotion recognition accuracy has increased after improving LSTM-AM into the BiGR-AM model. The greater the difference between emotion genres is, the easier it is to analyze the feature sequence containing emotion features, and the higher the recognition accuracy is. The classification accuracy of the excited, relieved, relaxed, and sad emotions can reach 76.5%, 71.3%, 80.8%, and 73.4%, respectively. The proposed interactive filtering method based on a Convolutional Recurrent Neural Network can effectively classify and integrate music resources to improve the quality of music education.
Inhibition of α-Amylase, α-Glucosidase, and Lipase, Intestinal Glucose Absorption, and Antidiabetic Properties by Extracts of Erodium guttatum
Authors: Benrahou Kaoutar , Naceiri Mrabti Hanae , Bouyahya Abdelhakim , Daoudi Nour Elhouda , Bnouham Mohamed , Mezzour Hicham , Mahmud Shafi , Alshahrani Mohammed Merae , Obaidullah Ahmad J. , Cherrah Yahia , Faouzi My El Abbes
Published: August 2022

Erodium guttatum is widely used in traditional medicine to treat various diseases, including diabetes. In this study, we evaluated in vitro inhibitory activity of extracts of E. guttatum on α-amylase, α-glucosidase, and lipase and then studied in vivo using different animal models. The results showed that the aqueous and alcoholic extracts of E. guttatum significantly inhibited digestive enzymes. The extracts of E. guttatum significantly reduced postprandial hyperglycemia after starch loading in normal rats. Additionally, extracts of E. guttatum significantly decrease the intestinal absorption of D-glucose. However, the methanolic extract of E. guttatum showed remarkable antidiabetic activity compared to the aqueous and ethanolic extracts of E. guttatum. In addition, the extracts significantly reduced blood sugar levels in albino mice and hematological and biochemical profiles. Therefore, the results of this study show that the extracts of E. guttatum have antidiabetic effects and could therefore be suggested in the management of type 2 diabetes.
PET/CT Evaluation of the Effect of Allogeneic Hematopoietic Stem Cell Transplantation in the Treatment of T‐Cell Lymphoblastic Lymphoma
Authors: Zhao Jin , Guo Xiaojing , Ma Li , Zheng Meijing , Guan Tao , Su Liping
Published: August 2022

The aim of this study was to investigate the clinical value of positron emission tomography/computerized tomography scanning (PET/CT) in the evaluation of the effect of allogeneic hematopoietic stem cell transplantation in the treatment of T lymphoblastic lymphoma. 12 relevant research articles were collected through layer‐by‐layer screening in large databases such as Pubmed, Baidu Scholar, and China How Net, and analyzed and summarized using indicators such as progression‐free survival (PFS), overall survival (OS), hazard ratio (HR), maximum standardized uptake value (SUV max), total metabolic tumor volume (TMTV), total lesion glycolysis (TLG), elevated lactate dehydrogenase (LDH), and β2‐microglobulin (β2‐MG). The results showed that before treatment, 18F‐FDG PET/CT baseline diagnosis could accurately stage the patients; during treatment, 18F‐FDG PET/CT detection could provide effective treatment information; and after treatment, complications were found during 18F‐FDG PET/CT detection. In summary, 18F‐FDG PET/CT can monitor and evaluate treatment prognosis at baseline, middle, and late stages, and 18F‐FDG PET/CT has become an indispensable and important examination technique in clinical work.
[Retracted] Decomposition of Clinical Significance of FSH, LH, E2, AMH, and AFC Standards in Females at Lofty Elevation Based on HIF1α
Authors: Qiu Xiaoxia , Gao Yongmei , Guo Tingting
Published: August 2022

Based on hypoxia‐inducible factor‐1α (HIF‐1α), follicle‐stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), and anti‐Mullerian hormone (AMH), the antral follicle is explored. The expression of count (AFC) in females at lofty elevation and its clinical significance are analyzed. A total of 82 females in lofty elevation areas and in low‐elevation areas who received health checks from April 2020 to May 2021 are selected as the lofty elevation set and the low‐elevation set, respectively. In addition, 76 females are served as the routine set. By comparing the serum HIF‐1α standards, the standards of sex hormone indexes FSH, LH, and E2, and the expressions of AMH and AFC between the two sets of females, the correlation between HIF‐1α and sex hormone indexes and ovarian reserve function is analyzed. The experimental results show that the lofty standard of HIF‐1α in females at lofty elevation may lead to abnormal standards of sex hormones and weakened ovarian reserve. The detection of HIF‐1α in females in lofty elevation areas is of great significance for evaluating their sex hormone standards, ovarian function, and preventing the occurrence of female gynecological diseases.
Technology Spillover Perception and Knowledge Network Trap in Cross-Industry Innovation: An Empirical Examination from Unmanned Aerial Vehicle (UAV)
Authors: Zhou Yang , Chen Xin , He Jianjia
Published: August 2022

Cross-industry technology spillover perception (CTSP) refers to the degree to which the enterprise absorbs the technology spilling from outside industries. How does the enterprise’s CTSP impact its cross-industry innovation performance? To answer this question, we distinguished CTSP into CTSP-Width and CTSP-Depth and investigate their dynamical impacts on the cross-industry innovation performance from the perspective of industry development process. Furthermore, we also explored the impact of the enterprise’s knowledge flow in the innovation knowledge network on the above relationships. We conducted the hierarchical regression analysis based on patent data in UAV industry from 2006 to 2020. The results showed that (1) in the flat period of industry development, only CTSP-Width has a direct positive impact on cross-industry innovation performance. (2) In the low-speed climbing period and the high-speed growing period, the impact of CTSP-Width disappears, and the direct positive impact of CTSP-Depth appears. (3) In the flat period, both the moderator roles of knowledge contribution and knowledge profitability are not significant. In the low-speed climbing period, only knowledge profitability plays the negative moderator role, while in the high-speed growing period, both the knowledge contribution and knowledge profitability play significant negative moderator roles. This suggests that, when the industry develops into maturity, the negative moderation effect of knowledge network gradually appears, which indicates that there is a knowledge network trap.
Application of Computer Technology in VR Digital Media
Authors: Zhang Weiguo , Wang Junming , Wang Hui
Published: August 2022

In order to make up for the defects of traditional digital media system design, continuously strengthen the user’s sense of experience, and further improve the digital media system design through diversified digital media forms, this paper proposes an application method of computer technology in VR digital media. Through the introduction and research of human-computer interaction interface, the usability of human-computer interaction interface evaluation and testing is analyzed, and combined with GOMS model to optimize and improve the model, a new optimized GOMS layered quantitative model is proposed. The experimental results show that when the system is running, the trend of video cache rate in WiFi and 4G environments is basically the same. The playback start rate is fast and then tends to be stable. During the playback process, the video frame rate is stable at about 60 FPS, which meets the needs of human eyes to watch without Caton. After the playback starts, the GPU occupancy rate remains about 20% and stable. Computer technology can realize the effective combination of multiscreen interaction and digital media in VR digital media, creating a better prospect interactive experience for the future development of digital media mobile terminal.
Ligustilide Improves Cognitive Impairment via Regulating the SIRT1/IRE1α/XBP1s/CHOP Pathway in Vascular Dementia Rats
Authors: Peng Dong , Wang Yi-Xue , Huang Tian-Hua , Luo Dan , Qiao Li-Jun , Wang Qi , Guan Li , Cai Ye-Feng , Zhang Shi-Jie
Published: August 2022

Vascular dementia (VaD), the second cause of dementia, is caused by chronic cerebral hypoperfusion, producing progressive damage to cerebral cortex, hippocampus, and white matter. Ligustilide (LIG), one of the main active ingredients of Angelica sinensis, exerts the neuroprotective effect on neurodegenerative diseases. However, the mechanism remains unclear. An in vivo model of bilateral common carotid artery occlusion and in vitro model of oxygen glucose deprivation (OGD) were employed in this study. LIG (20 or 40 mg/kg/day) was intragastrically administered to the VaD rats for four weeks. The results of the Morris water maze test demonstrated that LIG effectively ameliorated learning and memory deficiency in VaD rats. LIG obviously relieved neuronal oxidative stress damage by increasing the activities of catalase (CAT), superoxide dismutase (SOD), and glutathione peroxidase (GSH-PX) and decreasing the level of malondialdehyde (MDA) in VaD rats. Nissl staining showed that LIG increased the number of the Nissl body in VaD rats. After LIG administration, the apoptotic-related protein, Bax, was decreased and Bcl-2 was increased in the hippocampus of VaD rats. Moreover, the expressions of sirtuin 1 (SIRT1) and protein disulfide isomerase (PDI) were decreased, binding immunoglobulin protein (BIP) and phospho-inositol-requiring enzyme-1α (P-IRE1α), X-box binding protein 1 (XBP1s), and C/EBP-homologous protein (CHOP) were increased in VaD rats. After LIG treatment, these changes were reversed. The immunofluorescence results further showed that LIG upregulated the expression of SIRT1 and downregulated the expression of P-IRE1α in VaD rats. In addition, in vitro experiment showed that EX-527 (SIRT1 inhibitor) partly abolished the inhibitory effect of LIG on the IRE1α/XBP1s/CHOP pathway. In conclusion, these studies indicated that LIG could improve cognitive impairment by regulating the SIRT1/IRE1α/XBP1s/CHOP pathway in VaD rats.
[Retracted] Metabonomic Study of the Effect of Dingkundan Intervention Comparing with Oral Contraceptives on Primary Dysmenorrhea Using the UPLC‐MS Technique
Authors: Cai Hong , Zhang Yijing , Ding Xiaoxia , Zhu Shiyang , Ding Xuesong , Deng Yan , Ma Xiao , Gan Jingwen , Wang Yanfang , Sun Aijun
Published: August 2022

Primary dysmenorrhea (PD) is a prevalent problem in gynecologic clinics among adolescents and women of reproductive age. Several therapy modalities, including traditional Chinese medicine, are deemed adequate (TCM) and have been in practice for a long time. In China, Dingkundan (DKD), a multicomponent gynecological treatment, has been used to treat PD for centuries. However, the fundamental process remains poorly understood. Comparing plasma samples acquired from DKD‐treated and oral contraceptive‐ (OC‐) treated subjects, we performed an integrated plasma metabonomic analysis utilizing the UPLC‐MS technology to study the therapeutic mechanisms of DKD in PD patients. Thirty possible biomarkers and metabolic pathways were discovered, primarily steroid hormone production, glycerophospholipid metabolism, and bile secretion. The results suggested that DKD may have therapeutic benefits for PD patients via modulation of various metabolic pathways. This study is envisaged to provide detailed metabolite information regarding the etiology of PD, an assessment of the efficacy of DKD, and a comparison of DKD and OC.
Mathematical Model Construction of Teaching Evaluation in Colleges and Universities Based on Convolutional Neural Network under the Background of Big Data
Authors: Tan Changming
Published: August 2022

With the development of teacher evaluation, the main purposes of university evaluation are divided into the final purpose of ensuring teaching quality and the formative purpose of promoting professional learning. In order to effectively help teachers teach students according to their aptitude and realize personalized learning. This paper mainly analyzes and studies the mathematical model of college teaching evaluation based on convolutional neural network under the background of big data. The research analyzes the teaching evaluation under the background of big data and evaluates the teaching of big data participants. The teaching evaluation data can promote the development of education and teaching. Data acquisition processes and functions in the context of big data. Ensure the comprehensiveness and accuracy of data collection. At the same time, the function of teaching evaluation results is analyzed. The evaluation and formulation of mathematical model program in this study make full use of education big data information to provide scientific support for education decision-making.
A Power System Harmonic Problem Based on the BP Neural Network Learning Algorithm
Authors: Yue Qianqian , Hu Rui , Zhang Xiaoling
Published: August 2022

At present, due to the large-scale use of different kinds of power electronic devices in the power system, the problem of harmonic pollution in the power grid is becoming more and more serious, which will lead to a serious decline in the production, transmission, and utilization rate of electric energy, overheat electrical devices, generate vibration and interference, and then affect the aging and service life of the lines. In order to effectively reduce the harmonic problems caused by different levels of the power system, it is necessary to analyze the harmonic components. In this paper, the BP neural network learning algorithm is introduced into the harmonic problems of the power system. The mapping relationship between input and output signals is obtained by using the BP neural network algorithm, and the harmonic frequency, amplitude, and phase contained in the obtained data are analyzed. According to the type of equipment with problems in the operation of the power system and the rapid diagnosis of existing defects, the problems are quickly located and the causes are analyzed. The practical results show that the BP neural network learning algorithm proposed in this paper has higher detection accuracy and analysis speed for the difficult problems in the power system.
BRFP: An Efficient and Universal Sentence Embedding Learning Model Method Supporting Fused Syntax Combined with Graph Embedding Representation Algorithm
Authors: Li Zhifeng , Wu Wenwei , Shen Chunlei
Published: August 2022

Due to the rapidly growing volume of data on the Internet, the methods of efficiently and accurately processing massive text information have been the focus of research. In natural language processing theory, sentence embedding representation is an important method. This paper proposes a new sentence embedding learning model called BRFP (Factorization Process with Bidirectional Restraints) that fuses syntactic information, uses matrix decomposition to learn syntactic information, and fuses and calculates with word vectors to obtain the embedded representation of sentences. In the experimental chapter, text similarity experiments are conducted to verify the rationality and effectiveness of the model and analyzed experimental results on Chinese and English texts with the current mainstream learning methods, and potential improvement directions are summarized. The experimental results on Chinese and English datasets, including STS, AFQMC, and LCQMC, show that the model proposed in this paper outperforms the CNN method in terms of accuracy and F1 value by 7.6% and 4.8. The comparison experiment with the word vector weighted model shows that when the sentence length is longer, or the corresponding syntactic structure is complex, the model’s advantages in this paper are more prominent than TF-IDF and SIF methods. Compared with the TF-IDF method, the effect improved by 14.4%. Compared with the SIF method, it has a maximum advantage of 7.9%, and the overall improvement in each comparative experimental task is between 4 and 6 percentage points. In the neural network model comparison experiment, the model in this paper compared the CNN, RNN, LSTM, ST, QT, and InferSent models, and the effect significantly improved on the 14’OnWN, 14’Tweet-news, and 15’Ans.-forum datasets. For example, in the 14’OnWN dataset, the BRFP method has a 10.9% improvement over the ST method. The 14’Tweet-news dataset has a 22.9% advantage over the LSTM method, and the 15’Ans.-forum dataset has a 24.07% improvement over the RNN method. The article also demonstrates the generality of the model, proving that the model proposed in this paper is also a universal learning framework.
Comparison of Output Performance of Tunable Lasers with Two Different External Cavities
Authors: Wang Ya , Zhan Shengbao , Le Wenran , Liu Qinghai , Wang Yuting , Zou Lin , Deng Zhifeng
Published: August 2022

Based on the simplified model of the tunable fiber laser system, the tuning performance of the laser was analyzed. Two kinds of tunable setups were established, which are the configurations with an external cavity and the configuration of the Littrow cavity. The tuning output characteristics experimentally were analyzed by means of setups. The simulation gives the output efficiency of two tunable lasers as 40% and 30%. In the experiment, the measured slope efficiency of the two lasers was 24% and 18.3%, and the tunable range of the two lasers was 32 nm and 40 nm, respectively. Both lasers could achieve laser output with good beam quality.
A CEEMDAN‐Based Entropy Approach Measuring Multiscale Information Flow between Macroeconomic Conditions and Stock Returns of BRICS
Authors: Asafo-Adjei Emmanuel , Adam Anokye Mohammed , Owusu Junior Peterson , Akorsu Patrick Kwashie , Arthur Clement Lamboi
Published: August 2022

We model a mixture of asymmetric and nonlinear bidirectional and unidirectional causality between four macroeconomic variables (exchange rate, GDP, global economic policy uncertainty, and relative CPI) and stock returns of BRICS economies in the frequency‐domain using the information flow theory. The Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN)‐based Rényi effective transfer entropy approach is used to establish dynamic flow of information between macroeconomic variables and stock returns of BRICS. The original return series suggested insignificant information flow between most macroeconomic variables and stock returns. However, we reveal both asymmetric and tail dependent analyses at diverse scales between macroeconomic variables and stock returns of BRICS economies. Moreover, we find negative significant flow of information between the variables, in that knowing the history of one variable (either stock or macroeconomic variable), in this case, indicates considerably more uncertainty than knowing the history of only the other variable (either stock or macroeconomic variable). We also observe that global economic policy uncertainty has the most significant adverse causal relationship with stock returns of BRICS, especially in the long term. These results have important implications that investors and policymakers should take into account. Regulators should consider instituting sound policy actions geared towards minimising long‐term effects of external shocks and uncertainties.
[Retracted] Design of Moral Education Management System for Higher Vocational Students Based on Multisource Sensing Data Fusion
Authors: Guo Hui
Published: August 2022

Based on the specific circumstances of colleges and universities, this study presents the moral education management system and leverages multisource sensor data and other technologies to develop an information system in line with the moral education management of modern college students. Using multisource sensor data fusion and learning data definition, the fused education data is expressed in a standardized way, resulting in a common and standard data interchange format. This foundation is used to build a shareable and reusable data management system that enables data sharing and interchange across multiple heterogeneous data sources, aids the intelligent education system in obtaining more comprehensive and complete recorded data, and improves data sharing timeliness. As a result, learning behavior analysis results are more objective, immediate, and accurate, allowing the intelligent education system’s response to be more prompt and intelligent. This study, which is based on multisource sensor data fusion, also discusses platform selection, system architecture, database design, and methods and suggestions for overcoming critical challenges and can be used as a reference for other university information management systems with vast amounts of data.
Efficacy Analysis of Double‐Low Dynamic Contrast‐Enhanced CT and Hepatic Extracellular Volume Fraction in the Diagnosis of Liver Fibrosis
Authors: Liang Zhandong , Liu Yanxia , Nie Yuanwen
Published: August 2022

Objective. The aim of the study was to analyze the efficacy of double‐low dynamic contrast‐enhanced CT (DCE‐CT) and hepatic extracellular volume fraction (fECV) in the diagnosis of liver fibrosis (LF). Methods. A total of 200 patients with LF and cirrhosis who underwent the histopathological examination of liver biopsy and multiphase DCE‐CT of the liver at the same time in our hospital (January 2020–December 2020) were selected as the research subjects, and the degree of liver fibrosis was staged according to pathological criteria to analyze the clinical diagnostic value of double‐low DCE‐CT and fECV. Results. Compared with the S2–S4 group, the S1 group had obviously higher Eaorta and HCT values (P < 0.05), a lower fECV value (P < 0.001), and lower serum IVC and LN levels (P < 0.001). Serum IVC and LN levels were positively correlated with fECV (r1 = 0.803 and r2 = 0.890; P < 0.001). The fECV had the highest specificity and negative predictive value in the diagnosis of S1 and had the highest sensitivity and positive predictive value in the diagnosis of S2–S4. Conclusion. The double‐low DCE‐CT and fECV can provide a reliable basis for the clinical diagnosis of LF, and their results will provide a new direction for the treatment of LF and have a high application value in the clinical practice.
[Retracted] Visual Analysis of Nutrient Deficiency and Treatment Protocols in Bariatric Surgery Based on VOSviewer
Authors: Tang Jihong , He Mei , Li Guirong , He Juan , Wang Xianhua , Yang Zhuoxin , Wu HongJin
Published: August 2022

Objective. To analyze the global literature on nutritional deficiencies in bariatric surgery (BS) since January 1, 1985, and to discuss the current status of research, research hotspots, and new development trend and treatment of nutritional deficiency in bariatric surgery. It provides ideas and basis for promoting the development of bariatric surgery and new alternative therapy or treatment protocols. Methods. The Web of Science (WOS) database core collection was used as the data source, and VOSviewer 1.6.17 software was used to search the literature on the topic of “nutritional deficiencies in bariatric surgery.” The number of published literature, the distribution of authors, institutions, and countries, keyword cooccurrences, and journal cocitations were visualized and analyzed. Results. A total of 1015 relevant publications was obtained after searching and screening, and the overall trend of literature published was on the rise. The most published countries, institutions, and authors were USA, University of Sao Paulo, Ramalho, Andrea; Obesity Surgery has been the most frequently cited journal (7943 citations), and the top 10 journals had high impact factors. Keyword cooccurrence analysis showed that “bariatric surgery” and “nutritional deficiencies” are the hot topics of research in this field. Conclusion. There is an urgent need for bariatric surgery issuing institutions and authors to strengthen cross‐institutional, cross‐team, and multicenter and multidisciplinary cooperation, to promote and facilitate the exchange and cooperation in the field of bariatric surgery between developed countries in Europe and America and developing countries in Asia, Africa, and Latin America, to draw the attention of developing countries to the health problems caused by obesity, and to encourage and support the development of developing countries in this field. Bariatric surgery, obesity, weight loss, Y‐type gastric bypass, gastric bypass, and nutritional deficiency are the hot research topics in the field of nutritional deficiency in bariatric surgery, and metabolic surgery, single anastomosis gastric bypass, micronutrient supplementation, micronutrient deficiency, intestinal microbiology, and guidelines are the new trends in this field.
Phytochemical Investigation and Antimicrobial Potential of Medicinal Plant Nepeta distans Royle ex Benth
Authors: Alkahtani Jawaher , Asma Asma , Adil Muhammad , Rashid Abdur , Dawoud Turki M. , Alsofi Ahmed A. , Gawwad Mohamed Ragab Abdel , Elshaer Mohamed M. A.
Published: August 2022

Herbal medicines or natural products and plant extract may exhibit promising alternatives or supplements for chemotherapy and antibiotic therapy. The aim of the study is to evaluate the therapeutic value and phytoconstituents of the whole plant, Nepeta distans. The methanol extract contains four known compounds, namely, oleanolic acid, ursolic acid, β-sitosterol, and stigmasterol. The structures of these compounds were confirmed with the help of NMR and mass spectrometry and by comparison with the available literature of these known compounds. The phytochemical analysis test confirmed the presence of alkaloids, flavonoids, saponins, glycosides, fats, proteins, and phytosterols. The antimicrobial activities were carried out by the agar well diffusion method. Both methanol extract and chloroform fraction showed significant antimicrobial activities.
Bioactivity and Chemical Characterization of Sudanese Bee Honey: Crude Acacia and Its Organic Extracts
Authors: Wadi Mahasin
Published: August 2022

Honey has recently been rediscovered as an antibacterial and wound‐healing natural product. The medicinal properties of honey originate from the floral source used by bees. The objective of the current study was to evaluate the antimicrobial activity of Sudanese crude acacia bee honey and its solvent extracts regarding its biological activity and chemical characterization. To verify the nature of the antibacterial agent(s) of honey, sample (A) Sudanese crude unprocessed acacia bee honey obtained from west of Sudan (Nyala) during October 2019 was tested in vitro for antibacterial activity against 10 standard microorganisms Enterobacter aerogenes: ATCC: 13048, Enterococcus faecalis: ATCC: 29212, Escherichia coli: ATCC: 25922, Klebsiella pneumoniae: ATCC: 700603, Pseudomonas aeruginosa: ATCC: 27853, Serratia marcescens: ATCC: 8100, Staphylococcus aureus: ATCC: 29213, Staphylococcus epidermidis: ATCC: 12228, Staphylococcus Methicillin Sensitive MSSA: ATCC: 29213, and Staphylococcus Methicillin-Resistant MRSA: ATCC: 23591. Extraction of honey sample was carried out by petroleum ether followed by ethyl acetate using liquid/liquid extraction technique, using separating funnels. All organic extracts in addition to their aqueous residue were tested in vitro for antibacterial activity against the10 standard microorganisms. Ethyl acetate extract was subjected to gas chromatography‐mass spectrometer (GC‐MS) for chemical characterization. Sudanese crude unprocessed acacia honey showed inhibitory effects against the 10 standard microorganisms. Petroleum ether extract showed no antibacterial activity against the tested organisms, while its water residue exhibited remarkable activity. The ethyl acetate extract exhibited strong antibacterial activity against the tested organisms, while its aqueous residue showed no activity. Ethyl acetate extract subjected to gas chromatography‐mass spectrometer (GC‐MS) showed twenty‐one chemical constituents. The GC‐MS showed twenty‐one chemical compounds, and phenolic compound was the highest concentration. Ethyl acetate extract exhibited strong antibacterial activity which can be formulated as topical dressing for wounds and burns. The usage of honey in a professional context should be taken into consideration while treating burns and wounds.
The Expression of miR-34a in Gingival Crevicular Fluid of Chronic Periodontitis and Its Connection with the TLR/NF-κB Signaling Pathway
Authors: Pan Jiaxin , Liu Jue , Zhao Lu
Published: August 2022

Objective. This study analyzed the expression of miR-34a in gingival crevicular fluid (GCF) of patients with chronic periodontitis and its connection with the Toll-like receptor (TLR)/nuclear factor kappa-B (NF-κB) signaling pathway. Methods. We collected the GCF of the two groups of subjects, using RT-PCR to detect the expression of miR-34a and NF-κB p65 mRNA and TLR4 mRNA and ELISA to detect the inflammatory factor degree in GCF, and performed periodontal examinations on both groups. Results. The gingival index, bleeding index, probe depth, and attachment loss indexes of periodontal examination in the observation group were remarkably superior to those in the control group (

P
<
0.05

). The levels of IL-1β, IL-6, and TNF-α in the GCF of the observation group were higher than those of the control group (

P
<
0.05

). The mRNA relative expression levels of miR-34a, NF-κB p65, and TLR4 in the GCF of the observation group were dramatically higher than those of the control group (

P
<
0.05

). Correlation analysis showed that miR-34a was highly expressed in patients with chronic periodontitis. Conclusion. There is an abnormally high expression of miR-34a in GCF of chronic periodontitis. Its expression is associated with the degree of periodontal inflammation, periodontal tissue damage, and the activation of the TLR/NF-κB signaling pathway and could be used as a potential index for auxiliary diagnosis and severity of the disease.
Effect of Repeated Firings and Thickness on Optical Properties of Variable Preshaded and Shaded Novel Translucent Zirconia Blocks
Authors: Altan Bike , Cinar Sevki
Published: August 2022

Objective. The purpose of this study was to examine the optical properties of translucent zirconia with different thickness during multiple firings. Materials and Methods. Three different types of translucent zirconia (Vita YZ HT (HT), Vita YZ ST (ST), Vita YZ XT (XT)) with thickness of 0.5, 1, and 1.5 mm were used in the study. 180 disk‐shaped specimens (n = 10) were prepared from preshaded and nonshaded blocks. The coloring liquid (A2, Vita Shade Liquid) was applied with a synthetic nylon brush in the nonshaded group. Then, the specimens were then subjected to 1, 3, and 5 firing times. After consecutive firings, color differences (ΔE) and translucency parameter (TP) were measured. Statistical analysis was carried out by using repeated measure ANOVA followed by Tukey test. Results. ANOVA analysis reveals that TP and ΔE were significantly affected by the repeated firings. The highest TP was seen in 0.5 mm XT specimen. For all specimens, TP decreases from 1st to 3rd firing cycles, despite TP increases from 3rd to 5th firing cycles. Although there is a significant change in TP values in 0.5 mm thickness, there is no significant change between firing cycles for 1 and 1.5 mm thickness specimens. The highest ΔE value was observed for shaded specimens between 1st and 5th firings. ΔE values were not significantly different between 1 and 3 firings. Conclusions. Changes in thickness and repeated firings of zirconia specimens affected final color and translucency of zirconia specimens. HT blocks are more affected by consecutive firings than ST and XT blocks. ΔE increased as the thicknesses decreased for both types of translucent zirconia specimens tested.
A Precision Marketing Strategy of e-Commerce Platform Based on Consumer Behavior Analysis in the Era of Big Data
Authors: Zhang Di , Huang Minghao
Published: August 2022

In order to develop a more efficient and accurate marketing strategy for consumers’ purchase behavior, this paper establishes a user value model by modeling and learning the user historical data of e-commerce enterprises. The improved K-means algorithm is used to cluster the purchase behavior of users, and the customer value matrix is constructed from two dimensions of consumption frequency and average consumption amount. Finally, e-commerce users are classified into four categories by marking points. The test results show that the improved K-means algorithm is stable and efficient, and the analysis of user clustering characteristics is helpful to develop more accurate marketing strategies.
The Spatial Pattern Strategy of Urban Ecological Patches Based on the Mesoscale WRF-UCM Model: Taking Wuhan City as an Example
Authors: Li Xuesong , Chen Hong , Lin Kai
Published: August 2022

In the context of rapid urbanization, the reduction of urban ecological land area, space chaos, and fragmentation have led to a series of climate and environmental problems. This paper takes the ecological patches of the urban climate environment compensation space as the research object and establishes several urban canopy models of several cases based on geographic information data. Then, we input them into the mesoscale WRF-UCM model and simulate after loading the meteorological data to derive the meteorological indicators of each case, quantitatively analyze the meteorological conditions in the ecological patch boundaries with different surface attributes, and conduct research on the “quality-efficiency” correspondence of the physical characteristics of the ecological patches and the spillover effects of climate regulation. Studies have shown that the highest surface temperature difference between water patches and patches with other attributes

∆
Tsk

is up to 6.5°C in winter and 11.5°C in summer. The highest temperature difference at a somatosensory height of 2 meters

∆
T
2

is up to 2.0°C in winter and 3.0°C in summer, which can improve the surrounding environment. Under light wind conditions, water patches will have a positive spillover effect within 5.5 km of the downwind direction. Based on the data, an optimization strategy for the spatial pattern of urban ecological patches is proposed: the best distribution of water patches that are beneficial to the climate adjustment of Wuhan in winter and summer is in the north or northeast of the city, followed by the south or southwest. The north and northeast of the city should keep the woodland patches and reduce the setting of vegetation/arable land and wetland patches. This research is an interdisciplinary study of urban spatial planning that adapts to climate change, to supplement the deficiencies of urban planning theory, and to provide guidance for the promotion of green and ecological city construction.
Effects of Personalized Nursing plus Dietary Nursing Management on LP-PLA2, Hcy Levels, and Quality of Life in Elderly Patients with Acute Coronary Syndrome
Authors: Luo Fan , Qi Jingrui , Zhao Li , Wang Yu , Yang Mei
Published: August 2022

Objective. To explore the effect of individual nursing combined with dietary management on blood glucose levels and quality of life in elderly patients with acute coronary syndrome with diabetes. Method. This study included 68 elderly patients who underwent acute coronary syndrome at Department of Emergency in our hospital from January 2018 to January 2020. And they were assigned to a control group (n = 34) treated with individual nursing and a research group (n = 34) treated with individual nursing and dietary management according to the random number table. A comparison of the changes in blood glucose levels, anxiety and depression, quality of life, and nursing satisfaction was made between groups before and after nursing. Result. Before nursing, the differences in blood glucose levels, SAS scores, and SDS scores between groups were not considered statistically significant (

P
>
0.05

). After nursing, the blood glucose levels, SAS, and SDS levels of patients in both groups significantly decreased, and the research group presented a higher decrease when compared with the control group (

P
<
0.05

). The short form health survey (SF-36) showed that the research group had higher scores in physical function (PF), general health (GH), vitality (VT), mental health (MH), social function (SF), role-physical (RP), bodily pain (BP), and role-emotional (RE) compared with the control group (

P
<
0.05

). The satisfaction survey presented that the research group had a significantly higher total score than the control group [(91.40 ± 5.23) vs. (86.61 ± 7.14),

P
<
0.05

]. Conclusion. The combination of individual nursing and dietary management not only effectively reduces glycosylated hemoglobin levels and anxiety and depression but also wins better nursing satisfaction in the treatment of acute coronary syndrome in elderly patients. Moreover, their quality of life has been significantly improved after discharge.
Multiview Fusion 3D Target Information Perception Model in Nighttime Unmanned Intelligent Vehicles
Authors: Xu Jijin , Liang Zhen
Published: August 2022

Unmanned technology is an important development project of today’s cutting-edge science and technology, which has a significant impact on social and economic development, national defense construction, and scientific and technological development. The rapid development of industrial information technology has driven the unmanned intelligent vehicle system to innovate and gradually enter the public’s view, and at the same time, the driving safety of unmanned intelligent vehicles is also widely concerned. Target information perception system is the foundation of unmanned system and the fundamental guarantee of safety and intelligence of unmanned vehicles. There are three key problems of target recognition in unmanned driving, namely, target classification, localization, and attitude determination. In the implementation of a networked virtual environment system, a flexible and complete perception model is needed as the guiding model of the system. Since 3D point cloud data can provide more spatial information than 2D RGB image data, it is more beneficial to determine the target category, position, and pose in 3D. In this paper, based on the existing research of unmanned intelligent vehicle perception system, we combine the application of fusion of 3D target information perception model and develop a nighttime unmanned system based on multiview fusion of 3D target information perception model. This system can simultaneously perform the detection of multiple categories of objects and predict the center point, length, width, height, and orientation of the objects, so that the unmanned car can sense the location of the surrounding objects when driving in the actual scene.
Analyzing the Influence of College Aesthetic Education Teaching on College Students’ Innovation Ability and Artistic Literacy Based on Decision Tree Classification Model
Authors: Wang Minghui
Published: August 2022

University-level aesthetic education can help students develop their aesthetic sensibilities, enhance their artistic and creative skills, maximise their artistic and creative potential, and produce more and higher-quality works of art. Aesthetic ability is crucial for students’ quality because it helps them better appreciate the appeal of artistic creations, enhance their art education, and advance in their future growth and development. Therefore, it should place a high value on aesthetic education at the university and work at various levels to gradually cultivate students’ sentiments and enhance their aesthetic skills. A new “Big Data era” has emerged as a result of the expanding and widespread use of IT and the massive amount of data that needs to be stored and used. There are several widely used methods for classifying data, including decision trees, Bayesian classification, Bayesian networks, and neural networks. In order to more effectively develop students’ aesthetic ability in college aesthetic education teaching activities, the impact of college aesthetic education on college students’ creative ability and artistic literacy was examined. This was done on the basis of a decision tree classification model. According to the experimental results, the decision tree model significantly increased the accuracy of preference classes while maintaining the same level of overall accuracy. The F-value of the decision tree model on various data sets was improved by 0.318 and 0.221, respectively, in comparison to the SVM algorithm. The development of innovation ability in university aesthetic education is crucial for developing students’ personalities, bettering study habits, enhancing aesthetic literacy, and developing comprehensive ability. As a result, we analyze the impact of university aesthetic education on college students’ innovation ability and artistic literacy using the decision tree classification model.
[Retracted] Efficacy of Various Types of Berries Extract for the Synthesis of ZnO Nanocomposites and Exploring Their Antimicrobial Potential for Use in Herbal Medicines
Authors: Dar Amara , Rehman Rabia , Mohyuddin Ayesha , Aziz Maria , Anwar Jamil , Tadele Gashew , Kadhim Noor Mohammed , Alamri Ali H. , Alzhrani Rami M.
Published: August 2022

Nanoscience has developed various greener approaches as an alternate method for the synthesis of nanoparticles and nanocomposites. The present study discusses the efficacy of berries extract for the synthesis of ZnO nanocomposites. Characterization of synthesized nanocomposite were done by SEM, UV/VIS spectrophotometry, Fourier transform infrared (FTIR) spectroscopy, and XRD techniques. The crystalline nature of the synthesized nanoparticles was verified by XRD pattern in the range of 10‐80 nm. The UV absorption peak of Elaeagnus umbellata (ZnO‐EU) nanocomposite at 340 nm, Rubus idaeus (ZnO‐Ri) nanocomposite at 360 nm, and Rubus fruticosus (ZnO‐Rf) nanocomposite at 360 nm was observed. The nanocomposites were analyzed for their antimicrobial activity and found to be effective against three phytopathogens. The antimicrobial activity of ZnO nanocomposites showed good results against Escherichia coli (341), Staphylococcus aureus (345B), and Pseudomonas aeruginosa (5994 NLF). This study presents a simple and inexpensive approach for synthesizing zinc oxide nanocomposites with effective antibacterial activity.
Negative‐High Titer of Helicobacter pylori Antibody and Lipid Profiles
Authors: Lu Jun , Van Hoang Dong , Hayashi Yuko , Hashimoto Makiko , Kubo Sachiko , Kajio Hiroshi , Mizoue Tetsuya
Published: August 2022

Background. Helicobacter pylori (HP) is a causative factor for several gastrointestinal diseases. A HP seropositive antibody titer (i.e., ≥10 U/mL), a threshold indicating an HP infection, is known to be associated with changes in lipid metabolism. There is evidence that HP infection can be found in some individuals with HP antibody titer of between 3 and 9.9 U/mL (termed as “negative‐high titer”). However, it is unknown about the relationship between HP negative‐high titer and lipid metabolism. The present study aimed to quantify the association between HP negative‐high antibody titer and lipid profiles. Materials and Methods. We surveyed 2,478 people who underwent a Ningen Dock examination and had serological HP antibody data, from May 2016 to December 2020 at National Center for Global Health and Medicine, Tokyo, Japan. Multiple regression models were used to quantify the association between HP antibody titer and serum lipid levels. Results. The adjusted odds ratio (95% confidence interval [CI]) for dyslipidemia in HP negative‐high and positive titer was 1.24 (0.96, 1.79) and 1.36 (1.10, 1.68), respectively, compared with HP negative‐low titer; p trend =0.005. The adjusted mean (95% CI) of high‐density lipoprotein cholesterol (HDL‐C) in HP negative‐low, negative‐high, and positive titer was 58.78 (57.86–59.71), 55.30 (53.70–56.91), and 53.76 (52.90–54.63) mg/dL, respectively; p trend <0.001. Higher HP antibody titers were also associated with higher ratio of low‐density lipoprotein cholesterol (LDL‐C) to HDL‐C, but not triglycerides, or total cholesterols. Conclusion. The present cross‐sectional study suggests that a HP negative‐high antibody titer may be associated with dyslipidemia, HDL‐C, and LDL‐C to HDL‐C ratio among Japanese Ningen Dock’s participants.
Risk Factors for Prolonged Mechanical Ventilation and Weaning Failure: A Systematic Review
Authors: Trudzinski Franziska C. , Neetz Benjamin , Bornitz Florian , Müller Michael , Weis Aline , Kronsteiner Dorothea , Herth Felix J.F. , Sturm Noemi , Gassmann Vicky , Frerk Timm , Neurohr Claus , Ghiani Alessandro , Joves Biljana , Schneider Armin , Szecsenyi Joachim , von Schumann Selina , Meis Jan
Published: August 2022

Introduction: Prolonged mechanical ventilation (PMV) and weaning failure are factors associated with prolonged hospital length of stay and increased morbidity and mortality. In addition to the burden these places on patients and their families, it also imposes high costs on the public health system. The aim of this systematic review was to identify risk factors for PMV and weaning failure. Methods: The study was conducted according to PRISMA guidelines. After a comprehensive search of the COCHRANE Library, CINHAL, Web of Science, MEDLINE, and the LILACS Database a PubMed request was made on June 8, 2020. Studies that examined risk factors for PMV, defined as mechanical ventilation ≥96 h, weaning failure, and prolonged weaning in German and English were considered eligible; reviews, meta-analyses, and studies in very specific patient populations whose results are not necessarily applicable to the majority of ICU patients as well as pediatric studies were excluded from the analysis. This systematic review was registered in the PROSPERO register under the number CRD42021271038. Results: Of 532 articles identified, 23 studies with a total of 23,418 patients met the inclusion criteria. Fourteen studies investigated risk factors of PMV including prolonged weaning, 9 studies analyzed risk factors of weaning failure. The concrete definitions of these outcomes varied considerably between studies. For PMV, a variety of risk factors were identified, including comorbidities, site of intubation, various laboratory or blood gas parameters, ventilator settings, functional parameters, and critical care scoring systems. The risk of weaning failure was mainly related to age, previous home mechanical ventilation (HMV), cause of ventilation, and preexisting underlying diseases. Elevated PaCO2 values during spontaneous breathing trials were indicative of prolonged weaning and weaning failure. Conclusion: A direct comparison of risk factors was not possible because of the heterogeneity of the studies. The large number of different definitions and relevant parameters reflects the heterogeneity of patients undergoing PMV and those discharged to HMV after unsuccessful weaning. Multidimensional scores are more likely to reflect the full spectrum of patients ventilated in different ICUs than single risk factors.
Gonioskopie-assistierte transluminale Trabekulotomie bei primärem kongenitalem Glaukom
Authors: Song Yunhe , Zhang Xiulan , Weinreb Robert N.
Published: August 2022

Zweck: Wir berichten über einen Fall von Gonioskopie-assistierter transluminaler Trabekulotomie (GATT) bei einem Patienten mit primärem kongenitalem Glaukom. Beobachtungen: Ein 3-jähriger Junge mit Buphthalmus und erhöhtem Augeninnendruck. Trotz der Ausdehnung der Iris und der Irisprozesse bis zur Schwalbe-Linie wurde die GATT erfolgreich durchgeführt. Schlussfolgerungen: GATT kann bei primären kongenitalen Glaukomen erfolgreich sein, auch wenn die Winkelstrukturen zunächst nicht sichtbar sind.