bluuebunny/crossref_metadata_2025 huggingface dataset:
Systematic Review of the Efficacy and Safety of Traditional Chinese Medicine Granules Associated with Hormone When Treating Primary Nephrotic Syndrome in Children
Authors: Zhang Li , Chen Lei
Published: September 2022

Objective. To systematically evaluate the efficacy and safety of traditional Chinese medicine (TCM) granules associated with hormones when treating primary nephrotic syndrome (PNS) in children. Methods. Search online databases such as PubMed, EMBASE, ScienceDirect, Cochrane Library, China Knowledge Network Database (CNKI), China VIP Database, Wanfang Database, and China Biomedical Literature Database (CBM) to search for information on the use of hormone‐related Chinese medicine granules in the treatment of children with PNS controlled trials. Retrieval time was limited to the period from the date the database was established to the present. Separately, two researchers gathered the data. Statistical software RevMan5.4 was adopted to estimate bias risk in accordance with the Cochrane Handbook 5.3 standard. Results. Finally, 7 articles were selected with a total sample size of 487 cases. The infection rate, recurrence rate, and adverse reaction rate after treatment were analyzed by meta‐analysis. The infection rate and recurrence rate in the study group were notably lower, and the difference was statistically significant (P < 0.05). However, the incidence of adverse reactions exhibited not notably different (P > 0.05). The levels of albumin and blood cholesterol after treatment indicated no statistical difference between the levels (P > 0.05). Meta‐analysis was performed on the time to negative urine protein and the time to edema subsidence after treatment. The urine protein negative time and edema subsidence time of the study group were shorter after treatment, but the difference exhibited not notable (P > 0.05). Meta‐analysis was performed on the dosage of glucocorticoids after treatment. The dosage of glucocorticoid in the study group was notably lower, and the difference was statistically significant (P < 0.05). The levels of T lymphocytes after treatment were analyzed by meta. T lymphoid level in the study group was notably better after treatment, and the difference was statistically significant (P < 0.05). Further subgroup analysis indicated that the levels of CD3+ and CD4+ in the study group were higher after treatment (P < 0.05), and there exhibited no statistical difference in the levels of CD8+, CD4/CD8+, and CD19 (P > 0.05). Immunoglobulin levels in the study group after treatment were notably better, and the difference was statistically significant (P < 0.05). Further subgroup analysis indicated that the levels of IgA, IgM, and IgG in the study group were notably higher after treatment, and the difference was statistically significant (P < 0.05). Conclusion. Huai Qi Huang can reduce the recurrence rate of PNS children and the incidence of infection and the dosage of prednisone. A long‐term application can improve the cellular and humoral immune function of children with PNS. It has high treatment safety and has no notable effect on plasma cholesterol levels, so it is suitable for clinical application.
A High Gain Two-Winding Switched Coupled-Inductor Network
Authors: Moslehi Bajestan Mehran , Sharifi Saeed , Shamsinejad Mohammad Ali
Published: September 2022

Summary. This paper proposes a new high-gain quasi-Z-source network (qZSN) with a switched-coupled-inductor (SCL). By employing a two-winding SCL within the impedance network, the proposed topology offers high voltage gains with relatively low shoot-through current and low total voltage stress on switching devices. Other prominent features of the proposed topology can be mentioned as low total voltage stress on the switching devices, continuous dc-input current, and common ground among the input dc-voltage source and the load-side. In addition, the proposed qZSN has a low peak magnetizing current which allows using a smaller size magnetic core for the coupled-inductor. Reduced passive components count along with lower switch current stress lead to lower power losses and converter costs. The superiority of the proposed impedance network is confirmed by comparing its main properties with other successful existing ZS-based topologies. The detailed theoretical analysis and performance principles of the proposed qZSN are validated through experimental results.
Deep Intelligence-Driven Efficient Forecasting for the Agriculture Economy of Computational Social Systems
Authors: Li Xuelan , Li Xiao , Jiang Jiyu
Published: September 2022

In the vision of smart cities, everything is highly connected with the aid of computational intelligence. Therefore, the cyber-physical society has been named a computational social system for a long time. Due to the high relation with vast populations’ national livelihood, agriculture will still serve as a core industry in the national economy. As a result, this study focused on an efficient forecasting method for the agriculture economy. In recent years, the conception of deep intelligence has received overall prevalence in academia because of its excellent performance in implementing intelligent information processing tasks. Hence, this paper utilized deep intelligence driven by neural networks and managed to investigate an efficient prediction method for the agriculture economy of computational social systems. To fit the time-series forecasting scene of the long-term development of the agriculture economy, the convolutional neural network model is slightly improved by revising its parallel structure into the recurrent format. Finally, simulations on realistic datasets are carried out to evaluate the proposed forecasting method.
[Retracted] The Fertility Status of the Married People Living with HIV/AIDS in China
Authors: Que Min , Ji Guo-ping , Du Jie , Li Tao
Published: September 2022

In order to analyze the fertility status of the married people living with human immunodeficiency virus (HIV)/acquired immune deficiency syndrome (AIDS) (PLHA) of reproductive age in China, a sample of married PLHAs aged 22–45 in China is selected by using a stratified cluster sampling method. All participants are face‐to‐face interviewed with a structured questionnaire. Among them, the fertility status and its influencing factors of 366 PLHAs are statistically analyzed. Experimental results show that married PLHA of reproductive age in China has a high proportion of having children. The fertility status and fertility intention of females are higher than that of males. The proportion of unwanted pregnancies after the HIV + diagnosis of females is high.
Sparse Spatial-Temporal Emotion Graph Convolutional Network for Video Emotion Recognition
Authors: Liu Xiaodong , Xu Huating , Wang Miao
Published: September 2022

Video emotion recognition has attracted increasing attention. Most existing approaches are based on the spatial features extracted from video frames. The context information and their relationships in videos are often ignored. Thus, the performance of existing approaches is restricted. In this study, we propose a sparse spatial-temporal emotion graph convolutional network-based video emotion recognition method (SE-GCN). For the spatial graph, the emotional relationship between any two emotion proposal regions is first calculated and the sparse spatial graph is constructed according to the emotional relationship. For the temporal graph, the emotional information contained in each emotion proposal region is first analyzed and the sparse temporal graph is constructed by using the emotion proposal regions with rich emotional cues. Then, the reasoning features of the emotional relationship are obtained by the spatial-temporal GCN. Finally, the features of the emotion proposal regions and the spatial-temporal relationship features are fused to recognize the video emotion. Extensive experiments are conducted on four challenging benchmark datasets, that is, MHED, HEIV, VideoEmotion-8, and Ekman-6. The experimental results demonstrate that the proposed method achieves state-of-the-art performance.
Study on Damage Characteristics of Fused Silica under Ion Beam Sputtering
and AMP Technique
Authors: Zhang Wanli , Shi Feng , Song Ci , Tian Ye , Guo Shuangpeng , Margarone Daniele
Published: September 2022

Fused silica is an optical material with excellent performance, and it
is widely used in the fabrication of optics in various high-power laser
systems. With the gradual improvement of laser systems, the quality of
optics becomes crucial. Taking magnetorheological finishing (MRF), ion beam
sputtering etching (IBSE), and advanced mitigation processing (AMP) as the
means, this work focuses on exploring the damage characteristics evolution
of fused silica under different techniques. In this work, IBSE technique was
used to determinedly polish the optical surface after removing damage layer
by MRF technique, and AMP technique was applied to etch the surface with a
certain depth. Then, 10 J/cm2 (355 nm, 5 ns) laser was
used to irradiate the optical surface, and the damage density of optics
maintained at a low level, about 0.001/mm2, which
proves that MRF, IBSE, and AMP techniques can effectively improve the laser
damage resistance of optics.
Music Emotion Representation Learning Based on Multisource Data Fusion and Its Application
Authors: Zhang Haibo
Published: September 2022

Based on the multisource data fusion and fusion of music emotion expression learning and its application, this paper further analyzes the actual influence of music emotion and Internet multisource data in emotion learning. This paper uses multisource data to improve the professionalism and concentration of music emotion and uses modern Internet technology to help users quickly integrate into music emotion learning. At the same time, the multisource data structure can develop the music learning structure to a high-quality level. It is precisely because of the emphasis of the multisource data model architecture that the learning mechanism of musical emotion representation can be continuously updated and improved, which is mutually promoted jointly with Internet technology.
Antioxidant Effect and Acute Oral Toxicity of Hot Springs
Authors: Hakeem Israa J. , Zewudie Gashaw Tadele
Published: September 2022

According to the research, there are many illnesses for which therapeutic mineral hot springs are employed as an alternative. Its physicochemical characteristics have a substantial body of evidence. The in vivo antioxidant effect of Mosul’s hot springs in Iraq has been investigated in the current investigation. An experimental design for toxicity, a control group, and a study group were created. In addition, in vivo antioxidant effect of the hot springs of Mosul, Iraq, has been studied by the lipid antiperoxidation method with (

p
<
0.05

), in vitro by the free radical scavenging method (DPPH) for its complexing capacity of hot springs. In acute oral toxicity in vivo at fixed doses, looking for signs and symptoms of toxicity, there are no signs of intoxication or significant changes in the biochemical analysis (blood count). And, it was discovered that the variances are substantial. The animal was necropsied, and hematological and biochemical parameters were determined, as well as the organs’ histological processing at the study’s conclusion. It was found that the thermal waters from Mosul, Iraq, are medicinal mineral waters, chlorinated, sodium, and sulfated, nontoxic and have an antioxidant effect. With the help of the research’s findings, it is hoped to provide scientific support for knowledge that, when made public, encourages the development of Mosul’s hot springs as a safe and environmentally friendly tourist destination. With the results of this research, the parameters were presented with their mean and standard deviation statistics, promoting the ecological and sanitary tourism development of the Mosul hot springs, which will generate more significant income for the population, therefore growth in the region.
[Retracted] Efficacy of Balloon Guide Catheter‐Assisted Thrombus Repair in Stroke Treatment: A Retrospective Survey in China
Authors: Li Qiang , Zhou Tengfei , He Yingkun , Guan Min , Li Zhaoshuo , Wu Liheng , Wen Changming , Wang Haibo , Feng Guang , Wang Ziliang , Zhu Liangfu , Li Tianxiao
Published: September 2022

Background. The first‐pass (FP) effect, defined by successful cerebral reperfusion from a single pass of an endovascular stentriever, was associated with shorter procedural times and possible improved outcomes in patients with ischemic stroke secondary to large vessel occlusion. The adjunctive use of balloon guide catheter (BGC) may increase the rates of the first‐pass effect. In this retrospective study we examined the impact of BGC on the first‐pass effect in acute stroke patients. Methods. We included patients with acute ischemic stroke with large vessel occlusion treated by endovascular thrombectomy from 2018 to 2019. We categorized the cases into BGC and non‐BGC groups. Differences in time metrics and outcomes were compared. Result. One hundred and thirty‐two patients were included, and sixty‐two were in BGC group (47.0%). The median procedural time was shorter (83.0 minutes vs 120.0 minutes, P = 0.000), and FP rate was higher in BGC group (58.1% vs 32.9%, P = 0.004) compared with non‐BGC group. Proportion of modified Thrombolysis in Cerebral Infarction (mMTICI) 3 was higher (66.1% vs 37.1%, P = 0.001), and modified Rankin Scale (mRS) 0 to 2 was higher (59.7% vs 41.4%, P = 0.036) in BGC group compared with non‐BGC group. In addition, BGC was associated with successful reperfusion odds ratio, 0.383; 95% confidence interval: 0.174‐0.847; P = 0.018). The FP rate of BGC in the distal ICA was higher than that in the proximal ICA (87.5% vs 39.5%, P = 0.000), and the good clinical outcome rate at 90 days in the distal ICA was also higher than that in the proximal ICA (91.7% vs 39.5%, P = 0.000). Conclusion. We showed that BGC shortened the procedural time and increased the rate of the successful FP. We recommend that BGC could be considered the preferred technique for endovascular intervention in stroke.
Application Analysis of MMC-HVDC AC Tie Line Transmission in New Energy Power Generation
Authors: Sun Ruijuan , Dang Xiaoyuan , Yang Jiayi
Published: September 2022

In order to solve the problem of new energy power generation, the author proposes an application analysis method based on MMC-HVDC AC tie line transmission in new energy power generation. This method analyzes the research status of the operation, protection, and control of HVDC flexible transmission systems in various countries and summarizes the advantages of flexible HVDC transmission systems compared with traditional DC, the research focus of the system protection control is explored from the research methods and research ideas. Experimental results show that: the dynamic response of the average value of the capacitor voltage when the two control systems are subjected to external disturbances, the disturbance is set as the DC side voltage rise, and the amplitude is 5%. Conclusion. MMC-HVDC is beneficial to improve the stability and reliability of system operation.
Investigation on the Influencing Factors Related to Quality of Life of Adult Epilepsy Patients in Wenzhou, China, Based on Structural Equation Model
Authors: Sun Huijing , Chen Ling , Chen Kelong , Li Bin , Wu Zhimin
Published: September 2022

Objective. The aim of the study is to investigate the influencing factors of quality of life in adult patients with epilepsy in Wenzhou in China. Methods. A total of 190 patients who visited our hospital from July 2019 to February 2021 were included in the study. Demographic data and disease status were collected. Moreover, QOLIE-31, PSQI, ESS, HAMD-17, and GAD-7 were used in the questionnaire survey. Structural equation model fitting was used to analyze the influencing factors of quality of life in adult patients with epilepsy. Results. The scores of the dimension of onset worry in men were greater than those of women (P = 0.049), and the scores of the dimension of life satisfaction were lower than women (P = 0.047). The scores of cognitive function decreased with age (P = 0.047). The scores of quality of life of unemployed and drinking patients significantly decreased

P
<
0.05

. The score of quality of life positively correlated with good economic status and family relations

P
<
0.05

. The score of emotional health increased first and then decreased with the course of the disease. With the decrease in seizure frequency and the extension of months without a seizure, the score of quality of life gradually increased. Furthermore, the structural equation model showed that health status was directly correlated to the quality of life of patients with epilepsy. Conclusion. Male, unemployment, drinking, older age, and disease are negatively related to the quality of life in patients with epilepsy. However, good economic status, good family relations, and good colleague relationships are positively related to the quality of life.
Determination of L-Ergothioneine in Cosmetics Based on Ultraperformance Liquid Chromatography-Tandem Mass Spectrometry
Authors: Liu Li , Sun Lei , Fan Sufang , Ma Junmei , Wang Yi , Li Qiang , Song Zhengyang , Sun Yong , Zhang Yan
Published: September 2022

A new method was developed for the identification and determination of L-ergothioneine in cosmetics based on ultraperformance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The pretreatment method, chromatographic column, chromatographic conditions, and mass spectrometric conditions of cosmetic samples were optimized. Methanol was chosen as the extraction solvent, 85% acetonitrile with 0.1% FA was selected as the mobile phase, and the Waters CORTECS UPLC hydrophilic interaction liquid chromatography (HILIC) column was chosen for the separation. The sample was extracted with methanol and filtered, then separated by HILIC and detected by triple-quadrupole mass spectrometry. The quantitation was done under the matrix calibration curve using the external standard method. The results showed good linear relationships in the range of 5–200 ng/mL, and the correlation coefficient was greater than 0.999 in cosmetic samples. The limit of detection was in the range of 25–50 μg/kg and the limit of quantitation was in the range of 50–100 μg/kg. The recoveries of the method spiked ranged from 85.3% to 96.2% and the relative standard deviation (RSD) was in the range of 0.84%–2.08% (n = 6). The method is simple, quick, and accurate for the determination of L-ergothioneine in cosmetics, and has great practical value.
[Retracted] Emergency Project Management Decision Support Algorithm for Network Public Opinion Emergencies Based on Time Series
Authors: Guo Gaohuizi , Yao Cuiyou , Shoeibi Mehrdad
Published: September 2022

The present study aims at proposing a time series‐based network public opinion emergency (NPOE) management decision support algorithm for the problems of low decision accuracy and long decision time in traditional similar algorithms. In this proposed algorithm, after the time series data are preprocessed, the association rules of the original indicator data of network public opinion emergencies (NPOEs) are mined, the original indicator data matrix of NPOEs will be constructed, and the improved local linear embedding approach will be employed to obtain the original indicator data of NPOEs. After carrying out the preprocessing according to the preprocessing results, the objective weight of the emergency decision index is calculated through the interval value fuzzy information entropy measurement of the emergency decision index, the emergency management decision support model is constructed, and the emergency management decision support of the NPOE is realized. The simulation experiment results show that the proposed algorithm has a better effect on the decision‐making effect of the management of NPOEs, and a higher decision‐making efficiency is achieved.
Computed Tomography Angiography and B‐Mode Ultrasonography under Artificial Intelligence Plaque Segmentation Algorithm in the Perforator Localization for Preparation of Free Anterolateral Femoral Flap
Authors: Shen Dan , Huang Xuehui , Huang Yinwei , Zhou Dandan , Ye Shasha
Published: September 2022

This research was aimed to investigate the accuracy of U‐shaped network (UNet)‐based computed tomography angiography (CTA) and B‐mode ultrasonography (US) in the perforator localization of free anterolateral thigh flap (ALTF). Based on UNet, a fusion of deep supervision mechanism, squeeze‐and‐excitation module, and attention mechanism was introduced to optimize the algorithm. Then, a CTA segmentation model, DA‐UNet, was established. The segmentation performance of DA‐UNet and other algorithms was compared under the same conditions. 30 patients who were planned to receive ALTF surgery were selected as the research objects. According to different preoperative localization methods, they were divided into group A (CTA) and group B (B‐mode US), 15 cases in each group. Combined with the actual situation during surgery, the diagnostic accordance rate, sensitivity (Sen), specificity, and the distance between the perforator location and the actual location were compared between the two groups. The Dice coefficient, Jaccard index, Sen, the area under curve (AUC), and average Hausdorff distance (AVD) of the DA‐UNet segmentation algorithm were 80.70%, 69.97%, 77.56%, 0.887, and 2.48, respectively. These results were significantly better than those of other algorithms (P < 0.05). In group A, the diagnostic accordance rate, Sen, and specificity of patients were 96.55%, 90.52%, and 73.58%, respectively, which were higher than 91.53%, 81.36%, and 15.60% of patients in group B significantly (P < 0.05). There was no statistical difference in the distance between the perforator location and the actual location (P > 0.05). It showed that the accuracy of CTA under the UNet‐based DA‐UNet segmentation model in the perforator localization of ALTF was better than that of B‐mode US. Thus, a reference could be provided for the preparation of free ALTF and its clinical application.
Effect of Transcatheter Arterial Chemoembolization Combined with Radiofrequency Ablation on Liver Function and Immune Function in Patients with Hepatocellular Carcinoma
Authors: Zhou Yan , Qian Ying , Xiong Weiming , Yan Naijun , Hu Bing , Xiong Zhiyuan , He Weixin
Published: September 2022

Objectives. To investigate the effects of transcatheter arterial chemoembolization (TACE) combined with radiofrequency ablation (RFA) on liver function and immune function in patients with hepatocellular carcinoma (HCC). Methods. From December 2016 to January 2019, patients with primary liver cancer who could not be operated on were selected as the study subjects. 170 patients were randomly divided into two groups. The control group was treated with transcatheter arterial chemoembolization (n = 85). The patients in the observation group were treated with transcatheter arterial chemoembolization combined with radiofrequency ablation (n = 85). The clinical effects of the two groups were analyzed. The changes of liver function and immune function were detected by automatic biochemical analyzer before and after treatment. The changes of hypoxia inducible factor-1 (HIF1) alpha and vascular endothelial growth factor (VEGF) levels before and after treatment were analyzed by enzyme-linked immunosorbent assay (ELISA). Results. The total effective rate in the observation group was significantly higher than that in the control group (

P
<
0.05

). After treatment, serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), CD8+, HIF1 alpha, and VEGF decreased significantly (

P
<
0.05

), while levels of total bilirubin, direct bilirubin, indirect bilirubin, CD3+, CD4+, and CD4+/CD8+ increased significantly (

P
<
0.05

). The changes of the above indexes in the observation group were more significant than those in the control group (

P
<
0.05

). Conclusion. Hepatic arterial chemoembolization combined with radiofrequency ablation has a significant effect on liver function and immune function in patients with liver cancer, which may be related to the abnormal levels of HIF1α and vascular endothelial growth factor.
Network Pharmacology-Based Study on the Active Ingredients and Mechanism of Pan Ji Sheng Traditional Chinese Medicine Formula in the Treatment of Inflammation
Authors: Wu Shiji , Jiang Hongliang , Chen Zongwen , Lu Weining , Chen Qin
Published: September 2022

Background. Pan Ji Sheng Formula is a Chinese medicine formula that enables heat-free detoxification as well as anti-inflammatory and immune-boosting properties. This formula contains eight herbs. Its underlying mechanism is unknown. The bioactive ingredients were screened in our work, and the mechanism of this formula was investigated. Methods. Using traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP), ingredients in Pan Ji Sheng Chinese medicine formula were screened, and we selected the main bioactive ingredients for web-based research. The targets of bioactive ingredients are primarily obtained from the SwissTargetPrediction and TCMSP databases, and the text mining method is used. STRING and Cytoscape were then used to examine the protein-protein interaction (PPI) networks. To explore the biological function and related pathways, functional annotation and pathway analysis were performed. Results. This research discovered 96 bioactive ingredients. Then, 215 potential targets of bioactive ingredients were screened. Through the analysis of the PPI network, we discovered 25 key target genes, which can be described as hub target genes regulated by bioactive ingredients. Bioactive ingredients primarily regulate CASP3, AKT1, JUN, and other proteins. The formula works synergistically to enhance immune response and antiinfection by regulating immune-related pathways, TNF signaling pathways, and apoptosis. Conclusions. A variety of bioactive ingredients in the formula could play roles in regulating CASP3, AKT1, and other genes in immune, infection, apoptosis, and tumor-related signaling pathways. Our data point the way forward for future studies on the mechanism of action of this formula.
Research on Evaluation of Art Education Effect in Colleges and Universities Based on Big Data Technology
Authors: Zhou Lianfeng
Published: September 2022

In order to improve the automatic evaluation ability of fine arts education effect in colleges and universities, this paper proposes the evaluation research of fine arts education effect based on big data technology. We build university fine arts education effect data analysis model, considering the characteristics of the college art education effect; can reflect the effect of art education in colleges and universities’ selected index system, with the effect of art education in colleges and universities of the decision about the elements of the decomposed into goals, standards, and plan level, such as university fine arts education effect evaluation of qualitative and quantitative analysis; find out the hidden representative university fine arts education effect evaluation factors; build fine arts education in colleges and universities’ effect-associated distribution rules of the data, through unsupervised learning method, the effect of art education in colleges and universities’ data feature extraction in the process of adaptive learning, by fuzzy comprehensive evaluation of big data; and realize the effect of art education in colleges and universities. The test results show that the fitness level of using this method to evaluate the effect of art education in colleges and universities is high, the score of the evaluation effect of art education in colleges and universities is significant, and it is in a good state in the evaluation index score table, indicating that the evaluation effect is accurate and reliable.
Laparoscopic Single-Incision Triangulated Umbilical Surgery Adrenalectomy for Large (>5 cm) Tumors of the Adrenal Gland: Initial Experience with 16 Cases
Authors: Zhu Guang Feng , Dou Xiao Liang , Yan Feng Qi , Chen Xiao Peng , Tang Qi Sheng , Liu Fan , Wang He , Zhang Bo , Wang Yong
Published: September 2022

Background and ObjectivesLaparoscopic single-incision triangulated umbilical surgery (SITUS), which enables the extraction of intraabdominal specimens through a single umbilical incision, has yet to be used to perform adrenalectomy. We have modified SITUS to enable extraction of large (>5 cm) adrenal masses with optimal cosmetic outcomes and investigated efficacy and safety. Methods. In this retrospective study, we analyzed data of 16 patients with adrenal tumors >5 cm who had undergone adrenalectomy by SITUS between October 2015 and April 2018. Two C-shaped incisions were made around the umbilicus and sutured centripetally. After extracting the specimen, we evaluated these patients’ operative/postoperative data. Results. SITUS was performed in all 16 patients without conversion to laparoscopic or open surgery. The mean operation time was 75.31 ± 21.54 min (intraperitoneal time 41.94 ± 17.57 min; incision suturing time 33.38 ± 6.34 min). The estimated median blood loss was 57.5 mL (range 30–610 mL). Drainage time and duration of hospital stay were 55.69 ± 12.92 h and 3.94 ± 0.90 d, respectively. After surgery, all incisions were hidden under the umbilicus. Three patients developed keloid diathesis, resulting in enlargement of their scars. Conclusions. SITUS is a safe and feasible procedure for removing large adrenal tumors. In addition to its cosmetic advantages, SITUS facilitates functional recovery, particularly in patients with large adrenal tumors.
Harmonic Mixture Fréchet Distribution: Properties and Applications to Lifetime Data
Authors: Ocloo Selasi Kwaku , Brew Lewis , Nasiru Suleman , Odoi Benjamin
Published: September 2022

In this study, we propose a four-parameter probability distribution called the harmonic mixture Fréchet. Some useful expansions and statistical properties such as moments, incomplete moments, quantile functions, entropy, mean deviation, median deviation, mean residual life, moment-generating function, and stress-strength reliability are presented. Estimators for the parameters of the harmonic mixture Fréchet distribution are derived using the estimation techniques such as the maximum-likelihood estimation, the ordinary least-squares estimation, the weighted least-squares estimation, the Cramér–von Mises estimation, and the Anderson–Darling estimation. A simulation study was conducted to assess the biases and mean square errors of the estimators. The new distribution was applied to three-lifetime datasets and compared with the classical Fréchet distribution and eight (8) other extensions of the Fréchet distribution.
New Keratoconus Risk Factors: A Cross-Sectional Case—Control Study
Authors: Debourdeau Eloi , Planells Gabriel , Chamard Chloe , Touboul David , Villain Max , Demoly Pascal , Babeau Fanny , Fournie Pierre , Daien Vincent
Published: September 2022

Purpose. To evaluate risk factors associated with keratoconus in a monocentric cross-sectional case-control study. Methods. This observational study occurred from June 2019 to February 2021 in a university hospital (France). The case group consisted of 195 patients with keratoconus in at least one eye who were followed up by a corneal specialist. The control group consisted of 195 patients without any evidence of keratoconus on slit-lamp examination and corneal topography, who were matched 1 : 1 to controls by age and sex. Data were collected by a self-completed paper questionnaire before the consultation, and a multivariate logistic regression was performed. Results. Multivariate analysis revealed significant associations of keratoconus with family history (odds ratio [OR] = 22.2,

p
<
0.001

), rubbing eyes (OR = 10.9,

p
<
0.001

), allergy (any kind) (OR = 3.80,

p
<
0.001

), smoking exposure (OR = 2.08,

p
=
0.017

), and dry eyes (OR = 1.77,

p
=
0.045

f). The worst eye was associated with the more rubbed eye (

p
<
0.001

) and the more pressed eye during the night according to sleeping position (

p
<
0.041

). Conclusion. This study confirmed the association between keratoconus and eye rubbing, family history, and allergy. It highlighted the role of pressure on the eyes during sleep. Other less known risk factors such as dry eyes and smoking exposure should be explored in future studies.
The Mitigatory Effect of Shen-Qi Compound on the Diabetic Thoracic Aortic Complications through Inhibiting the Inflammatory Microenvironment by miR-223-3p/RBP-J/IRF8 Axis
Authors: Tian Ye , Xu Gang , Gao Hong , Xie Hong-Yan , Leng Yu-Lin , Fu Xiao-Xu , Xie Chun-Guang
Published: September 2022

Background. Disruption of the vascular immunological inflammatory microenvironment is linked to metabolic memory impairment. Even though it has been proven that the Shen-Qi compound (SQC) can efficiently halt metabolic memory and preserve vascular endothelial cells, extensive studies need to be done to investigate if it can also change the vascular immune-inflammatory microenvironment by regulating the immune system. This will help figure out the role of stopping metabolic memory. Methods. After 4 weeks on a high-fat diet (HFD), GK rats were used to create a model for diabetic thoracic aortic problems. The effect and mechanisms of SQC on diabetic thoracic aortic complications were assessed by hematoxylin-eosin (H&E) staining, enzyme-linked immunosorbent assay (ELISA), biochemical analysis, terminal deoxynucleotidyl transferase deoxyuridine triphosphate (dUTP) nick end labeling (TUNEL), reverse transcription, real-time polymerase chain reaction (RT-qPCR), immunofluorescence (IF), western blot, and luciferase reporter assays. Results. SQC treatment ameliorates the HFD-induced pathological symptoms as well as the HFD-induced increased concentrations of fasting blood glucose (FBG), fasting insulin (FINS), total cholesterol (TC), triglycerides (TGs), and low-density lipoprotein cholesterol (LDL-C) and decreased concentrations of high-density lipoprotein cholesterol (HDL-C). Besides, SQC counteracted the HFD-induced average fluorescence intensity of vascular cell adhesion molecule-1 (VCAM-1) and intercellular adhesion molecule-1 (ICAM-1), as well as the concentrations of endothelin-1 (ET-1) and monocyte chemoattractant protein-1 (MCP-1), while rescuing the HFD-induced concentrations of nitric oxide (NO) and nitric oxide synthetase (NOS). Also, SQC decreases apoptosis and oxidative stress in rats with diabetic thoracic aortic complications. In addition, SQC facilitated the polarization of macrophages, stimulated the activation of dendritic cells, and regulated the inflammatory milieu in rats with diabetic thoracic aortic complications. Furthermore, SQC also modulated the miR-223-3p/RBP-J/IRF8 axis in the macrophages of rats with diabetic thoracic aortic complications. Conclusion. SQC ameliorated diabetic thoracic aortic complications through the regulation of apoptosis, oxidative stress, and inflammatory microenvironment mediating by the miR-223-3p/RBP-J/IRF8 axis.
Evaluation Method of Innovative Education Model of E-Commerce Video Live Broadcast Based on Big Data Analysis Technology
Authors: Liu Huili , Bai Ou
Published: September 2022

In the environment of education big data, how colleges and universities make good use of these data not only affects the orderly operation of the whole education and teaching system of colleges and universities. It will also become an inexhaustible driving force to help colleges and universities promote the reform and innovation of the education and teaching system. This paper takes student evaluation data and student online learning data as research objects. Focusing on the teaching operation and students’ autonomous learning, this paper uses the improved k-mode algorithm to cluster analyze the classroom teaching operation. This paper uses neural network algorithm based on machine learning to predict and compare students’ online course learning. It is hoped that it can provide meaningful reference for the construction of teaching management system and the reform and innovation of teaching management system in colleges and universities. Two research works are mainly carried out through the preliminary analysis and transformation of the data of student evaluation of teaching in a certain university. The improved cosine dissimilarity algorithm is used to eliminate the abnormal teaching evaluation data. The normalization method was used to standardize the teaching evaluation data. The traditional k-mode algorithm is used to cluster the teaching evaluation data. Some problems of k-mode algorithm are pointed out, and the traditional k-mode algorithm is improved. Experimental results show that the improved algorithm is more reasonable and effective.
ATXN2-Mediated PI3K/AKT Activation Confers Gastric Cancer Chemoresistance and Attenuates CD8+ T Cell Cytotoxicity
Authors: Wang Qi , Cao Tianyu , Zhang Xiaohui , Hui Juan , Wang Chen , Zhang Wenyao , Wang Pei , Zhou Yun , Han Shuang
Published: September 2022

As one of the primary therapeutic choices, chemotherapy is widely adopted for progressive gastric cancer (GC), but the development of chemoresistance has limited chemotherapy efficacy and partly contributes to poor prognosis. Immunotherapy is increasingly being applied in the clinical treatment of GC and is also benefitting patients. To ascertain whether ATXN2 affects chemotherapy efficacy in GC cells and its role in GC immune escape, we performed high-throughput sequencing to clarify genes differentially expressed between 5-FU-resistant and 5-FU-sensitive GC cells and then conducted qRT–PCR to assess ATXN2 expression in GC tissues. Furthermore, the influence of ATXN2 on resistance was studied in vitro and in vivo, ATXN2 and other protein expression levels were detected using Western blotting and immunohistochemistry (IHC), and the direct association of SP1 and ATXN2 was confirmed through luciferase reporter gene analysis. We found elevated ATXN2 in GC tumors and a negative correlation between ATXN2 levels and the prognosis of GC. Furthermore, by activating the PI3K/AKT pathway, ATXN2 was found to promote chemoresistance in GC, facilitating BCL2L1 expression. In GC cells, ATXN2 further stimulated PD-L1 expression and provided better immunotherapy efficacy. Finally, we demonstrated that SP1 transcriptionally regulated the expression of ATXN2 and prompted GC chemoresistance and immune escape. In conclusion, our study reveals the important roles of the SP1/ATXN2/PI3K-AKT/BCL2L1 signalling pathway in GC chemoresistance and of the SP1/ATXN2/PI3K-AKT/PD-L1 signalling pathway in GC immunotherapy. Our findings provide new theories and experimental references for overcoming chemotherapy resistance in GC and enhancing the efficacy of immunotherapy for GC.
Identifying a 6-Gene Prognostic Signature for Lung Adenocarcinoma Based on Copy Number Variation and Gene Expression Data
Authors: Huang Yisheng , Qiu Liling , Liang Xiaoye , Zhao Jing , Chen Haoting , Luo Zhiqiang , Li Wanzhen , Lin Xiaohua , Jin Jingjie , Huang Jian , Zhang Gong
Published: September 2022

The occurrence of lung adenocarcinoma (LUAD) is a complicated process, involving the genetic and epigenetic changes of proto-oncogenes and oncogenes. The objective of this study was to establish new predictive signatures of lung adenocarcinoma based on copy number variations (CNVs) and gene expression data. Next-generation sequencing was implemented to obtain gene expression and CNV information. According to univariate, multivariate survival Cox regression analysis, and LASSO analysis, the expression profiles of lung adenocarcinoma patients were screened and a risk score formula was established and experimentally validated in a local cohort. The model was evaluated by three independent cohorts (TCGA-LUAD, GSE31210, and GSE30219), and then validated by clinical samples from LUAD patients. A total of 844 CNV-related differentially expressed genes (CNV-related DEGs) were identified. These genes are significantly associated with the imbalance of various oxidative stress pathways. A CNV-associated-six gene signature was dramatically linked to overall survival in lung adenocarcinoma samples from both training and validation groups. Functional enrichment analysis further revealed involvement of genes in p53 signaling pathway and cell cycle as well as the mismatch repair pathway. Risk score is an independent marker considering clinical parameters and had better prediction in clinical subpopulation. The same signature also classified tumor tissues of clinical patients with CNV detected from their corresponding nontumorous tissues with an accuracy of 0.92. In conclusion, we identified a new class of 6 CNV-related gene markers that may act as efficient prognostic predictors of lung adenocarcinoma, thus contributing to individualized treatment decisions in patients.
Preparation and Mechanical Characterization of TiC Particles Reinforced Al7075 Alloy Composites
Authors: Krishna Prasad S. , Dayanand Samuel , Rajesh M. , Nagaral Madeva , Auradi V. , Selvaraj Rabin
Published: September 2022

The current exploration work focuses on the fabrication of aluminum 7075 matrix composites built up with different weight levels of titanium carbide particles by a traditional stir casting process. In particular, the combination of high hardness and flexible modulus, low density, great wettability, and low synthetic reactivity with aluminum melt makes TiC particle an attractive material. From 0% to 6 wt.% of reinforcement is introduced in steps of 3 wt.%. Aluminum matrix composites are studied in depth to learn more about their microstructures and mechanical properties. TiC particles were uniformly dispersed in the aluminum lattice, as shown by scanning electron micrographs of the material’s microstructure. As the weight of the TiC particles in the aluminum lattice increases, so does the density of the composites. The X-ray diffraction technique has also been used to detect the phase of TiC particles. As the amount of TiC particles in the aluminum matrix increases, the material’s mechanical properties, such as ultimate tensile strength and hardness, increase at the expense of ductility. The preorganized composites have also undergone fractography testing.
[Retracted] Emotion Analysis Based on Neural Network under the Big Data Environment
Authors: Zhou Jing , Liu Quanju
Published: September 2022

Aiming at the problems of poor emotional tendency prediction effect and low utilization of syntactic information, this study proposes a big data sentiment analysis method based on neural network. First, the BERT model is used to vectorize the input data to reduce the semantic loss when the data is vectorized; then the word vector is input into the bidirectional LSTM encoder to obtain data features. Finally, the representation of the attention layer is used as the final feature vector for sentiment classification, reducing the influence of irrelevant data. The experimental results show that the method has high accuracy, recall, and F1 value and can effectively improve the accuracy of fine‐grained sentiment classification of ambiguous texts.
Heston‐GA Hybrid Option Pricing Model Based on ResNet50
Authors: Yang Zheng , Zhang Liqin , Tao Xiangxing , Ji Yanting
Published: September 2022

(1) Background. This study aims to improve the accuracy of the pricing model. (2) Methods. Heston model is combined with ResNet50 convolutional neural network model. Based on the optimization of Heston model parameters by genetic algorithm (GA), ResNet50 model is used to correct the deviation between market option price and Heston price, so a new hybrid option pricing model is established based on the empirical research on the European call options of Huatai‐PB CSI 300ETF (code 510300), Harvest CSI 300ETF (code 159919), and SSE 50ETF (code 510050). (3) Results. The pricing result of the hybrid model is better than other single models and hybrid models. The model is applicable to the pricing of options with short and long remaining terms. (4) Conclusions. It is shown that the combination of Heston model and ResNet50 model with optimized parameters can ensure the interpretability of the model and enhance the nonlinear fitting ability of the model, which confirms the effectiveness of the hybrid model and provides a reference for investors and institutions to make scientific decisions.
COVID-19 Symptomatic Newborns with Possible Postpartum Transmission of SARS-CoV-2
Authors: Ataee Nakhaei Mohammad Hosein , Safapour Moghadam Sahar , Yaghoubi Saeedeh
Published: September 2022

Coronavirus disease 2019 (COVID-19) infection, which was initially reported in Wuhan, China, in December 2019, had a rapid spread throughout the world becoming a new global crisis. Today, very little is known about neonatal COVID-19 infection. Herein, we tried to define the clinical and demographic characteristics, risk factors, and laboratory and imagining findings of neonates who tested positive for COVID-19 and were admitted to the NICU (neonatal intensive care unit) of Ali Ibn Abi Taleb Hospital, Zahedan, Iran, from June 2021 to July 2021. All full-term and premature neonates diagnosed with COVID-19 were included in the study. Their ages ranged from 1 to 21 days at admission, including 6 boys and 4 girls. The medical records of mother-baby dyads were reviewed. All mothers, except for one, were negative for COVID-19 infection. The most frequent findings in the neonates were fever, poor feeding, respiratory distress, cough, hypoxemia, and drooling. Broad-spectrum antibiotics were administered as routine. All neonates, except for one, needed respiratory support, and intratracheal surfactant was administered for three newborns. Three neonates with severe disorders died during the study period.
Application of Nanocomposite Energy Storage Materials in Green Building Design
Authors: Xu Ying
Published: September 2022

In order to solve the problem of the application of composite phase change heat storage materials in building energy conservation, the author proposes the application of nanocomposite energy storage materials in green building design. Modified carbon nanotubes were prepared by mixed acid oxidation and ball milling, and composited with stearic acid to prepare phase change heat storage materials. Modified carbon nanotubes were prepared by mixed acid oxidation and ball milling and composited with stearic acid to prepare phase change heat storage materials. Experimental results show that acidified carbon nanotubes have a hindering effect on the thermal diffusion of stearic acid molecular segments so that the thermal conductivity of carbon nanotubes added with a mass fraction of 1% is only 1.3 times higher than that of pure stearic acid. Conclusion. Nanocomposite energy storage materials have excellent application prospects in green building design.
Verbena Attenuates Adriamycin-Induced Renal Tubular Injury via Inhibition of ROS-ERK1/2-NLRP3 Signal Pathway
Authors: Zhou Yicen , Wu Qijing , Du Zhenfang , Huang Min , Gao Kun , Ma Xiaowei , Zhang Hui , Qiang Sheng , Sun Wei
Published: September 2022

Chronic kidney disease (CKD) has become a global public health problem. Tubular epithelial cell injury plays a vital role in the progression and prognosis of CKD. Therapies to protect tubular cells is the key to delaying CKD progression. Our study found that verbena, a natural traditional Chinese herb, has a potential reno-protective role in kidney diseases. However, the detailed mechanism remains unknown. In the current study, we employed adriamycin (ADR)-induced renal tubular cell injury to mimic the conditions of tubular injury in vitro. Results showed that total aqueous exact of verbena (TAEV) ameliorated ADR-induced cell disruption, loss of cellular viability, and apoptosis via inhibition of ROS-ERK1/2-mediated activation of NLRP3 signal pathway, suggesting that TAEV serves as a promising renoprotective agent in delaying the progression of CKD, while ROS-ERK1/2-mediated NLRP3 signal pathway might be a novel target in treating kidney diseases.