bluuebunny/crossref_metadata_2025 huggingface dataset:
CBCT Assessment of Ethmoid Roof Variations through Keros, Gera, and TMS Classifications
Authors: Mahdian Mina , Karbasi Kheir Mitra
Published: August 2022

Background. This study is designed to assess the variations of the ethmoid roof through the Keros, Gera, and Thailand-Malaysia-Singapore (TMS) classifications by means of Cone-Beam Computed Tomography (CBCT). Materials and Methods. 372 CBCT scans were reviewed. The depth of the olfactory fossa (OF) was defined by the height of the lateral lamella (LL). The degree of the angle formed by the LL and the continuation of the horizontal plane passing through the cribriform plate was calculated. The risk of injury to the skull base was assessed by TMS classification. Results. The distribution of Keros types 1, 2, and 3 was 20.43%, 66.26%, and 13.31%, respectively. No significant difference was seen in the Keros classification among males and females, and asymmetry in the depth of the cribriform plate was seen in 33.3% of patients. 29.57% of the cases had type I, 61.42% had type II, and 9.01% had type III of Gera classification. 33.9% of the patients had asymmetry in the Gera classification. There was not significant difference in the Gera classification among males and females. 95.43%, 4.17%, and 0.40% of patients were of types 1, 2, and 3 of TMS classification, respectively. Conclusion. The most prevalent variations of the ethmoid roof were Keros type II, Gera type II, and TMS type 1. Although the prevalence of the dangerous types (Keros type 3, Gera type III, and TMS type 3) was low, preoperative assessment is essential in reducing surgical complications. CBCT is beneficial in evaluating these variations due to its low radiation dose.
Optimization of Ecological Mode of College Students’ Innovation and Entrepreneurship Education Based on a Big Data Analysis Model
Authors: Yu Miao , Lu Yanju , Wang Hongliang
Published: August 2022

However, the number of college students enrolling in our country has only begun to increase on a large scale in the 21st century. As educational big data gets more and more attention, it has its own distinct characteristics in the field of education and at the same time consolidates the overall trend of big data development. The countermeasure analysis of innovation and entrepreneurship education under the reform of the education supply side has become a subject to be explored in an all-round way. This paper is mainly aimed at the importance of a big data analysis model to college students, explores the current development status of innovation and entrepreneurship education for college students, finds some problems in the application of big data, and improves the existing problems based on the purpose.
Phosphatidylinositol 3-Kinase/Protein Kinase B/Mammalian Target of the Rapamycin Pathway-Related Protein Expression in Lung Squamous Cell Carcinoma and Its Correlation with Lymph Node Metastasis
Authors: Shi Fang , Li Ling
Published: August 2022

The targeted therapy of lung squamous cell carcinoma (LSCC), a pathological type of non-small-cell lung cancer, is relatively lacking by contrast with lung adenocarcinoma. The overexpression or inhibition of intracellular signaling pathways leads to disease. To evaluate genes for a targeted therapy in LSCC, we analyzed PI3K pathway components in LSCC tissues and found elevated PI3K levels in LSCC tissues compared with adjacent counterparts. A comparison of PI3K levels in tissues with and without metastasis revealed that the PI3K pathway activity was greatly increased in metastatic tissues. Our findings suggest that the metastasis of cancer cells in patients with LSCC is closely related to the overexpression of PI3K pathway components in cancer tissues. We performed in vitro cell culture experiments and found that inhibition of PI3K activity decreased proliferation and increased apoptosis in H520 cells, suggesting that PI3K pathway inhibition limits LSCC cell proliferation. We hypothesize that LSCC metastasis is related to the overexpression of PI3K pathway components and inhibiting this pathway may help reduce the risk of lymph node metastasis in LSCC patients.
Detection Rate and Prognosis of Lymph Nodes in Gastric Cancer Using Nano Carbon Combined with In Vitro Anatomical Sorting
Authors: Ma Jun , Ren Chongren , Du Gang , Wang Jinxi , Han Zhenguo , Li Huhu , Li Huiyu , Xue Liang
Published: August 2022

In this study, we are going to investigate the effect of nano carbon combined with ex vitro anatomical sorting on the detection rate of lymph nodes (LNs) in gastric cancer (GC) along with the analysis of the correlation between LNs detection rate and patients’ prognosis. The clinical data of patients undergoing radical gastrectomy in Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University from January 2018 to January 2019 were examined retrospectively. According to whether they adopt nano carbon tracing and specimen sorting method, patients were divided into nano carbon and control groups. The respective rate of detection and correlation of total and positive LNs, respectively, clinical treatment, tumor marker level, and long-term prognosis were matched between these groups. At the same time, the effects of the nano carbon tracer on the detection of total and positive LNs were evaluated. In nano carbon group, more LN specimens could be detected, and the number of positive LNs increased significantly. In addition, in patients with different infiltration stages and LN substations, more LNs could be detected in the nano carbon group for examination, and the detection rate of LNs with diameter less than 5 mm was also more. Furthermore, LNs (preferably positive in number) were correlated positively with the attained LNs number. Otherwise, the use of nano carbon suspension could better label LNs in each substation, especially N1 station, and improve micro-LN detection rate. At the same time, the positive metastasis rate in black-stained LNs was higher (31.67% vs. 13.51%). In relation to the clinical prognosis, CEA’s level, i.e., CA199 and CA125, in the nano carbon group is controlled more effectively. Their condition was not easy to progress and relapse, and their mortality was further reduced. As a result, nano carbon, coupled with ex vitro anatomical sorting, may considerably enhance the detection rate of total and positive LNs, thereby improving the accuracy of clinical staging in GC patients, which has a good influence on their long-term prognosis.
Simultaneous Pulmonary Embolism and Carotid Thrombosis as a Presenting Manifestation of COVID-19
Authors: Smith Leon , Zeman Brian
Published: August 2022

Although COVID-19 was initially described predominantly as a respiratory infection, subsequent reports noted that it can produce generalised inflammation with effects on multiple organ systems. As a result, it is possible for patients with COVID-19, including those with severe disease, to present initially with nonrespiratory signs and symptoms. Neurological manifestations, including ischaemic stroke, may be the first presenting issue and can result from carotid thrombosis. Similarly, the risk of both arterial and venous thrombosis is increased in COVID-19, which may result from hypercoagulability associated with systemic inflammation.
Accuracy of Demirjian’s and Cameriere’s Methods for Age Estimation in 6- to 10-Year-Old Iranian Children Using Panoramic Radiographs
Authors: Milani S. , Shahrabi M. , B Fakhar H. , Parvar S. , Abdolahzadeh M.
Published: August 2022

Objective. This study assessed the accuracy of Demirjian’s and Cameriere’s methods for age estimation in Iranian children using panoramic radiographs. Materials and Methods. This cross-sectional study evaluated 212 panoramic radiographs of 6- to 10-year-old children retrieved from the archives of an oral and maxillofacial radiology department from 2011 to 2017. The chronological age of children at the time of radiography was determined by subtracting the date of radiography from their birth date. The developmental stage of 7 permanent left mandibular teeth was determined according to Demirjian’s method. The stage of dental maturation was determined according to Cameriere’s method by using the normalized values for 7 permanent left mandibular teeth and the number of teeth with complete root development. The error value of the two methods was calculated by comparing them with the actual chronological age of male and female children, and the absolute error values of the two methods were compared with paired t-tests. Results. The mean error value of Demirjian’s and Cameriere’s methods was found to be 0.84 and −0.06 in girls and 0.93 and 0.04 in boys, respectively. Significant differences were noted in the absolute error of the two methods compared with the chronological age of male and female children (both

P
s
<
0.001

). Conclusion. In conclusion, this study indicated that Cameriere’s method was more accurate than Demirjian’s method for age estimation in Iranian children.
Hepatoprotective Mechanism of Ginsenoside Rg1 against Alcoholic Liver Damage Based on Gut Microbiota and Network Pharmacology
Authors: Xia Ting , Fang Bin , Kang Chaoyan , Zhao Yuxuan , Qiang Xiao , Zhang Xiaodong , Wang Yiming , Zhong Tian , Xiao Jianbo , Wang Min
Published: August 2022

Alcoholic liver disease (ALD) is a major public health problem worldwide, which needs to be effective prevention. Ginsenoside Rg1 (GRg1), a bioactive ingredient extracted from ginseng, has benefit effects on health. In this study, 11 potential targets of GRg1 against ALD were firstly obtained by network pharmacology. KEGG pathway enrichment showed that GRg1-target-ALD was closely related to Toll-like receptor (TLR) and nuclear factor-kappa B (NF-κB) signaling pathways. In addition, GRg1 decreased antioxidant levels and increased oxidative levels in alcohol-treated mice, which alleviated oxidative stress-induced hepatic damage. GRg1 enhanced intestinal barrier function via upregulating the levels of tight junction protein and immunoglobulin A. GRg1 also reduced alcohol-induced inflammation by suppressing TLR4/NF-κB pathway, which was consistent with the prediction of network targets. Moreover, GRg1 altered GM population, and Verrucomicrobia, Bacteroidetes, Akkermansia, Bacteroides, Lachnospiraceae_NK4A136_group, and Alloprevotella played positive association with intestinal barrier indicators and negative correlation with hepatic inflammation biomarkers. The results suggest that GRg1 administration might be a promising strategy for protection of alcohol-induced liver damage.
Multithreshold Microbial Image Segmentation Using Improved Deep Reinforcement Learning
Authors: Zhou Minghui
Published: August 2022

Image segmentation technology can effectively extract the foreground target in the image. However, the microbial image is easily disturbed by noise, its greyscale has the characteristics of nonuniform distribution, and several microorganisms with diverse forms exist in the same image, resulting in insufficient accuracy of microbial image segmentation. Therefore, a multithreshold microbial image segmentation algorithm using improved deep reinforcement learning is proposed. The wavelet transform method is used to remove the noise of the microbial image, the threshold number of the microbial image after denoising is determined by calculating the number of peaks of the grey histogram, and the foreground target of the microbial image is enhanced by the mean iterative threshold segmentation method, the preliminary segmentation of the microbial image is realized, the multithreshold microbial image segmentation model based on ResNet-Unet is constructed, and the cavity convolution and dual Q network mechanism are introduced to improve the segmentation model. The preliminary segmented microbial image is input into the improved segmentation model to realize the segmentation of the multithreshold microbial image. The results show that the proposed algorithm can effectively remove the noise of microbial images. With the increase in the number of thresholds, the peak signal-to-noise ratio, structural similarity, and feature similarity show an upward trend, and the loss rate of the model is less than 0.05%. The minimum running time of the algorithm is 3.804 s. It can effectively and quickly segment multithreshold microbial images and has important application value in the field of microbial recognition.
Effects of Different Soil Modifiers on Salt Improvement and Distribution, Crop Growth of the Gully Land Consolidation on Loess Plateau
Authors: Yang Yang , Zhou Beibei , Feng Lei
Published: August 2022

Due to the strong evaporation and leakage loss, secondary saline-alkali was the main problem in the watershed of gully land consolidation on Loess Plateau. Through field farming experiments, five modifiers (maize stalk (MS), humus acid (HA), Yan Ke (YK), He Kang (HK), and nanobiochar (NB)) were studied to investigate the effects of these soil modifiers on soil water and salt distribution, leaf photosynthetic characteristics, and maize growth and yields, as well as economic benefits in secondary saline-alkali soils of gully land consolidation watershed on Loess Plateau in 2019 and 2020. The results showed that soil modifiers could increase the water-holding capacity of the soil, reduce the salt content of the soil profiles, and decompose the accumulation of salt. The maximum desalination rate obtained in 2019 and 2020 increased, respectively, by 71.57% and 46.02%, compared to that in the control treatment. Soil modifiers could increase the net photosynthetic rate (Pn), transpiration rate (Tr), stomatal conductance (Gs), and decreased the intercellular CO2 concentration (Ci). The output increased by 13.63%-31.84%, and revenue increased by 6.48%-38.01%. According to analyzing the production of soil modifier application, we found that the highest net profit was achieved when HK application rate was 52.4 kg/ha. Therefore, this study suggested that 52.4 kg/ha might be recommended as an appropriate soil modifier application strategy to deal with crop growth and improve economic benefit in secondary saline-alkali soils of Northwest China.
Clerodendrum wallichii Merr Methanol Extract Protected Alcohol-Induced Liver Injury in Sprague-Dawley Rats by Modulating Antioxidant Enzymes
Authors: Tian Yujian , Liang Ning , Jing Tao , Yuan Fang , Sarker Md. Moklesur Rahman , Alam Maruf Mohammad Rifat , Chen Shuai
Published: August 2022

Background and Objective. Clerodendrum wallichii Merr leaves are traditionally used for the treatment of fever, skin infections, inflammation, diarrhea, and dysentery. However, its pharmacological investigation is scarce and no data found on its effect on the liver. We aimed to evaluate the protective effect of Clerodendrum wallichii methanol extract (MECW) against ethanol-induced liver injury in Sprague-Dawley rats. Materials and Methods. An oral acute toxicity study was carried out following OECD guidelines. Hepatotoxicity was induced by the administration of ethanol for 4 weeks. Hepatic enzymes and oxidative stress biomarkers were determined using commercial diagnostic kits. Results. Treatment of rats with MECW (800 mg/kg) showed the highest reduction of body weight (4.76 ± 0.372 vs. 16.92 ± 0.846) and liver weight (3.06 ± 0.128 vs 5.55 ± 0.311). Treatment of rats with MECW at 200, 400, 600, 800, and 1000 mg/kg significantly (∗∗p<0.01) reduced SGPT. Similarly, serum SGOT and ALP were significantly decreased by MECW (200, 400, 600, 800, and 1000 mg/kg). All used doses of MECW significantly increased antioxidant enzymes GSH and SOD. MECW (600 and 800 mg/kg) significantly promoted CAT levels in liver tissues; whereas, it significantly diminished oxidative biomarker, MDA. Histopathological observations of the liver showed improvement in the architecture of hepatic cells having signs of protection with a reduced number of inflammatory cells, vascular degeneration and congestion, cellular degeneration, necrosis, and significant reduction of fatty cells accumulation. Acute toxicity study resulted in the well-tolerability and safety of used doses of MECW (200–1000 mg/kg) in rats. Conclusion. Our study clearly demonstrated the hepatoprotective effect of Clerodendrum wallichii extract against ethanol-induced liver injury in the laboratory rats model.
Application of Digital Twins to Flexible Production Management: Taking a Shandong Factory as an Example
Authors: Ran Wenxue , Hu Yimin , Yang Zhi
Published: August 2022

In recent years, digital twin technology has greatly promoted business development at both digitization and networking levels and has received widespread attention. However, DT technology still has problems such as real-time data interaction, component integration, and restoration of reality. This paper proposes a framework that combines DT with 3D visualization techniques to address these issues. Taking the intelligent logistics management 3D scheduling system of a factory in Shandong as an example, the applicability of digital twin to flexible production management is verified.
Effect of Psychological Nursing Intervention on Abnormal-Induced Labor of Fetus during Puerperium: Study on the Effects of Anxiety, Depression, and Life Events
Authors: He Yanjuan , He Huiwen , Tang Cai
Published: August 2022

Objective. To study the effects of psychological nursing intervention on anxiety, depression, and life events in puerperal women with fetal abnormalities. Methods. From January 2020 to January 2022, eighty women with abnormal fetal induction and puerperium-treated were selected in our hospital as the subjects. The research group (

n
=
40

) and control group (

n
=
40

) were arbitrarily selected from 80 women with abnormal fetal induction and puerperium. The research group was given psychological nursing intervention based on routine nursing, and the control cases were given routine nursing. The scores of Generalized Anxiety Scale (GAD-7), Patient Health Questionnaire (PHQ-9), Event Impact Scale (IES-R), Life Events Scale (LES), and Newcastle Nursing Satisfaction Scale (NSNS) were studied before nursing and 4 weeks after discharge. Results. Four weeks after discharge, the score of GAD-7 in the research group was lower, and the difference was statistically significant (

P
<
0.05

). The score of PHQ-9 in the research group was lower, and the difference was statistically significant (

P
<
0.05

). The IES-R score of the research group was lower, and the difference was statistically significant (

P
<
0.05

). The LES score of the research group was lower, and the difference was statistically significant (

P
<
0.05

). And the NSNS score of the research group was higher, and the difference was statistically significant (

P
<
0.05

). Conclusion. The value of psychological care interventions in women with abnormally induced labor is more remarkable, contributing to the reduction of anxiety and depression and increasing the satisfaction of care for women with abnormally induced labor.
[Retracted] Legal Early Warning of Public Crisis in Network Public Opinion Events Based on Emotional Tendency
Authors: Ni Zhijuan
Published: August 2022

At present, China is in the period of social transformation, and social contradictions are gradually prominent. The research on NPO (network public opinion) emergency warning methods is gradually increasing. Some existing laws and regulations are abstracted and principled in content, lacking specific implementation rules and corresponding supporting measures, especially the legal rules of emergency administrative procedures. Therefore, the legal early warning model of NPO public crisis is based on emotional dimension content, NPO emotional characteristics, emotional dimension elements, and machine learning classification algorithm to construct text ET (emotional tendencies) classifier, which can be used to make ET judgment on text data. The results show that after PSO (particle swarm optimization) algorithm optimization, the precision, recall rate, and micro‐average are significantly improved, and the precision is increased by nearly 14% and 80%. The conclusion shows that using PSO optimization parameters improves the classification effect of the classifier, and a better NPO crisis early warning model can be obtained.
[Retracted] Construction of AI Environmental Music Education Application Model Based on Deep Learning
Authors: Cheng Chaozhi , Xiao Yujun
Published: August 2022

The art of music, which is a necessary component of daily life and an ideology older than language, reflects the emotions of human reality. Many new elements have been introduced into music as a result of the quick development of technology, gradually altering how people create, perform, and enjoy music. It is incredible to see how actively AI has been used in music applications and music education over the past few years and how significantly it has advanced. AI technology can efficiently pull in the course, stratify complex large‐scale music or sections, simplify teaching, improve student understanding of music, solve challenging student problems in class, and simplify the tasks of teachers. The traditional music education model has been modified, and the music education model’s audacious innovation has been made possible by reducing the distance between the teacher and the student. A classification algorithm based on spectrogram and NNS is proposed in light of the advantages in image processing. The abstract features on the spectrogram are automatically extracted using the NNS, which completes the end‐to‐end learning and avoids the tediousness and inaccuracy of manual feature extraction. This study, which uses experimental analysis to support its findings, demonstrates that different music teaching genres can be accurately classified at a rate of over 90%, which has a positive impact on recognition.
The Laboratory Intelligent Management System Using NB-IoT and Artificial Intelligence Technology
Authors: Zhang Fang , Wu Jie , Wu Faquan
Published: August 2022

For the traditional laboratory manual management, there is a need for laboratory managers. The managers cannot keep abreast of the laboratory conditions, and forget to shut down and close the windows, causing waste of electricity and equipment damage. Based on NB-IoT and artificial intelligence, a laser intelligent management system is developed using technologies such as network communication, intranet, automatic control, artificial intelligence, and software. Through this system, administrators can grasp the situation of the laboratory in real time, realize the intelligent management of the laboratory, improve the scientific management of the laboratory, improve the work efficiency of laboratory technicians, and better play the laboratory as an important platform for scientific research training in colleges and universities. This paper aims to develop an intelligent laboratory management system based on NB-IoT and AI technology. Through this system, the manager can grasp the situation of the laboratory in real time, realize the intelligent management of the laboratory, and better play the role of the laboratory as an important platform for scientific research and talent training.
Creating Sustainable Cultural Industries: The Perspective of Artificial Intelligence and Global Value Chain
Authors: Liu Yutong , Song Peiyi
Published: August 2022

In the era of artificial intelligence (AI), cultural industries have introduced new development opportunities, and their global value chain (GVC) position is receiving more attention. This study uses panel data from global cross‐borders from 56 countries (regions) as the research sample to empirically analyze the impact of AI on improving the GVC position of cultural industries using the double fixed effects regression model and examines the heterogeneity effect. The results confirm that there is a significant positive correlation between AI and the GVC position of cultural industries. The mechanism test shows that AI impacts the division of labor position in the GVC of cultural industries mainly through technological innovation and the industrial structure. Heterogeneity analysis shows that AI has a significant effect on promoting the cultural industry’s GVC position in high‐income countries (regions) but it has no significant effect on low‐ and middle‐income countries (regions). The results of this study can provide a useful reference for improving the division of labor positions in the GVC and better promoting the development of cultural industries.
The Role of CD40, CD86, and Glutathione S-Transferase Omega 1 in the Pathogenesis of Chronic Obstructive Pulmonary Disease
Authors: Sun Desheng , Lin Rong , Ouyang Yao
Published: August 2022

Objective. The aim of the study was to explore the relevance of CD40, CD86, and GSTO1 with the pathogenesis of COPD. Methods. Patients with acute exacerbation of COPD were contrasted with the healthy and nonsmoking ones and smoking but without COPD ones. The changes of CD40, CD86, and GSTO1 in the peripheral blood, collected from different groups, were detected by flow cytometry and western blotting, respectively. Results. Compared with the nonsmoking group and smoking but without the COPD group, the expression of CD40 and CD86 of the patients with COPD increased significantly, but the expression of GSTO1 decreased. CD40 and CD86 were negatively correlated with FEV1%, while GSTO1 was positively correlated with FEV1% and negatively correlated with CD40 and CD86. Conclusion. CD40, CD86, and GSTO1 may play a role in the pathogenesis of COPD, and they are related to the severity of COPD and the degree of changes in the lung function.
Angiojet System Used in the Treatment of Submassive Pulmonary Embolism: A Case Report of Two Patients
Authors: Liu Jinbo , Li Tianrun , Huang Wei , Zhao Na , Zhao Hongwei , Wang Hongyu
Published: August 2022

Background. Massive or submassive pulmonary embolism (PE) carries a high mortality. Percutaneous mechanical thrombectomy using the Angiojet system is accepted for the treatment of PE. Here, we reported two submassive PE cases who were treated with the Angiojet system successfully, to provide some advice for the therapy of submassive PE. Method. Two patients with suffocation were admitted to our hospital. One patient was accompanied by lower blood pressure (20% lower than basal blood pressure) and higher pulmonary artery pressure (89 mmHg); the other patient had larger right ventricular transverse diameter (46 mm), decreased left ventricular end diastolic anteroposterior diameter (34 mm), and higher heartbeats (107 heartbeats per minute). Pulmonary artery computed tomography angiography showed bilateral pulmonary embolism. Result. The Angiojet system with a high-pressure jet spray pattern (urokinase

25
 
wiu
+
sodium

chloride injection 50 ml) was used. Intravascular thrombolysis by urokinase (100 wiu/day for 1 day) was done after being back in the ward. And low molecular weight heparin was used in hospitalization, and rivaroxaban was used after discharge. Both patients were treated successfully. However, the level of platelet was significantly lower in one patient after Angiojet system usage and recovered to the preoperative level the next day. Another patient suffered from bradyarrhythmias during the usage of Angiojet, and bradyarrhythmias disappeared when the Angiojet system stopped. Pulmonary embolism was cured after 3 months in both patients. Conclusion. Angiojet could be a simple, safe, and well-tolerated treatment for massive or submassive PE. And hematocrit, platelet, kidney function, and heart rhythm should be monitored during perioperation.
[Retracted] Hospital Intelligent Power Operation and Maintenance Information Evaluation with the Long and Short Memory Neural Network
Authors: Mi Dezhi , Ding Qing , Zhang Jiangbo
Published: August 2022

The invention describes a deep learning‐based technique for monitoring power grid information operation and maintenance. Based on the time series data information in the power grid information operation and maintenance monitoring system, this method obtains the cleaned time series data through appropriate data preprocessing technology. This also uses the long‐term and short‐term memory neural network to realize the prediction function of the time series data to be detected. The reason behind is to construct the normal behavior model of the time series. Additionally, the control chart based on an exponentially weighted moving average is employed to determine whether the time series to be discovered contains any anomalous and abnormal phenomena. In the area of power grid information operation and maintenance monitoring, the method of invention is designed to counter anomaly. This phenomenon is universal in nature and has significant scientific importance for guiding treatment after the anomaly is discovered. Additionally, it guards against serious faults that the abnormality might bring about.
Mechanical Behaviors and Damage Evolution Characteristics of Predamaged Rock under Triaxial Compression Experiment
Authors: Guo Jinshuai , Shang Wenzheng , Yuan Jianbo , Liu Zhigang
Published: August 2022

The underground rock was disturbed repeatedly during the excavation, resulting in its damage degree gradually accumulated. Therefore, the rock in practical engineering can be regarded as predamaged (PD) rock, and its mechanical behaviors are different from conventional intact rock. This paper proposed the calibrate method to evaluate the predamaged degree of rock based on acoustic emission (AE) ring counts, and the PD rock samples were prepared by uniaxial cyclic loading and unloading test. Then, the triaxial compression experiment of predamaged rock was carried out to study the influence of different predamaged degrees on mechanical behaviors and damage evolution characteristics. The results show that the peak stress and axial strain of PD rock decrease gradually with the increase of predamaged degree. The yield stage of PD rock was significantly shorter than that of intact rock, and it entered the dilation deformation earlier. Furthermore, the constitutive equation of the PD rock based on energy was constructed and the damage evolution characteristics of PD rock were analyzed. It was observed that the bigger the predamaged degree was, the earlier the rock entered the damage, and the failure mode was more complex and crushed. The research results can provide the theoretical basis for the stability control of engineering disturbed rock.
Comprehensive Analysis of circRNA-Mediated ceRNA Regulatory Networks in relation to Recurrent Implantation Failure
Authors: Wang Hanbing , Lv Wei , Zhu Yilin
Published: August 2022

Recurrent implantation failure (RIF) is attributed to endometrial receptivity dysfunction with many unanswered questions. Up to now, there is no explanation for RIF, and therapeutic strategies are usually limited to supportive care. In this study, we differentially analyzed the raw data deposited in three eligible microarray datasets, GSE111974, GSE121219, and GSE147442 to screen DE-mRNAs, DE-miRNAs, and DE-circRNAs, respectively. The value of log2-fold change |log2FC| ≥ 1 and the adjusted

p

value < 0.05 were considered differentially expressed between RIF and fertile control. We found 350 DE-mRNAs, 43 DE-miRNAs, and 1968 DE-circRNAs between RIF and fertile control. The PPI network identified 6 hub genes with degree ≥10, KDR, AGT, POSTN, TOP2A, RRM2, and PTGS2, in RIF. KDR, AGT, POSTN, TOP2A, and RRM2 were downregulated in endometrial tissue samples of RIF compared with those of fertile control, while PTGS2 was upregulated in endometrial tissue samples of RIF compared with those of fertile control. According to the ceRNA hypothesis, 15 groups of ceRNA network based on 10 circRNAs, hsa_circ_001572, hsa_circ_001884, hsa_circ_001375, hsa_circ_001449, hsa_circ_000029, hsa_circ_001168, hsa_circ_000210, hsa_circ_001484, hsa_circ_001698, and hsa_circ_000089 were constructed in RIF. In conclusion, the present study examined the possible role of circRNAs and their related ceRNA network involved in the pathogenesis of RIF.
A Data Mining Algorithm for Association Rules with Chronic Disease Constraints
Authors: Liu YanRong , Wang LiJun , Miao Rong , Ren HengNi
Published: August 2022

The Apriori algorithm in association rules is the main algorithm used in the treatment and prevention of chronic diseases in data mining, and the algorithm in the current stage of China’s medical field of association between chronic diseases has some problems, such as the need to scan the transaction database of cases several times, producing a large data set and more redundant rules. To address the above problems, a data mining algorithm of association rules combining clustering matrix and pruning strategy is proposed, which improves the algorithm by using the clustering matrix method to compress the stored transaction database and introducing the prepruning and postpruning strategy methods on the basis of adding constraint conditions. The experimental results show that the optimization algorithm has unique advantages in reducing the number of database scans and the number of candidate item sets generated and ultimately greatly reduces the running time and I/O load of the algorithm, and the running efficiency of the algorithm is greatly improved.
Research on Scoring of Business English Oral Training Based on Deep Neural Network
Authors: Duan Wei
Published: August 2022

A scoring approach of business English oral training based on a deep neural network is put forward. Based on speech recognition technology, automatic correction technology, deep learning technology, machine learning technology, and the scoring data of business English oral training generated by the general computerized examination platform system, this paper uses the audio data of students’ oral expression questions collected by the existing general computerized examination platform, and studies artificial intelligence technology, deep learning technology, and machine learning technology to train the intelligent scoring system, it realizes the intelligent scoring of oral expression questions, which plays a positive role in language training guidance and correction. Finally, the accuracy of the intelligent scoring system is verified by the correlation between the score of the intelligent scoring system and the manual score of teachers. The higher the correlation with manual scoring, the higher the scoring accuracy of the intelligent scoring system.
Bioactivation of Polyaniline for Biomedical Applications and Metal Oxide Composites
Authors: Omran Khalida Abbas
Published: August 2022

In this work, the oxidative chemical synthesis of polyaniline (PANI) in the presence of glutamic acid (GA) is presented, using ammonium persulfate (APS) as the oxidizing agent. Syntheses were performed by varying the molar ratio of aniline:amino acid:oxidant. The products of the different reactions were characterized by SEM, TEM, and FTIR techniques. It was observed that the molar ratio of aniline:amino acid:oxidant used in the synthesis determines the composition and conformation of the resulting polymer and its morphological and electrochemical properties. Composite hydrogels were prepared by incorporating the drug-loaded PANI nanofibers in situ through polymerization and cross-linking of acrylamide. TEM images of the cross-section of the hydrogel revealed the formation of a three-dimensional system of the polyaniline nanofibers maintained by the insulating matrix of the polyacrylamide hydrogel. The in vitro release of the drug from the hydrogels composed of polyacrylamide/polyaniline against buffer solutions at different pH and temperature was studied, using orbital agitation. Finally, considering the potential of hydrogels composed of polyacrylamide/polyaniline for the controlled release of drugs, a study was conducted to evaluate their cytotoxicity against normal mouse subcutaneous tissue cells.
Repeated Occurrence and Recurrence of Secondary Oral Solid Cancers after Hematopoietic Stem Cell Transplantation for Leukaemia: Long-Term Follow-Up
Authors: Takahashi Takumi , Yamada Miki , Sawada Keisuke , Nakayama Nami , Iijima Yosuke , Hino Shunsuke , Kaneko Takahiro , Horie Norio
Published: August 2022

Hematopoietic stem cell transplantation (HSCT) is a common method for patients such as hematologic malignancies. However, HSCT generally has a higher risk of secondary solid cancer development. The aim of this study was to emphasize the need for lifelong follow-up of oral secondary solid cancer. The patient was a male who underwent HSCT for chronic myelogenous leukaemia at the age of 31 years. He underwent ten onsets on oral secondary solid cancers during his subsequent follow-up of more than 20 years. In conclusion, patients after HSCT require lifelong observation of oral secondary solid cancer, which may be accompanied by repeated new and recurrent occurrences.
[Retracted] Big Data Analysis of Benign Interaction of Great Power Relations and New International Relations Based on Deep Learning
Authors: Ma Yanhong
Published: August 2022

The development of a new type of international relations is the advancement and improvement of diplomatic thinking among contemporary nations. It also serves as a crucial yardstick for assessing the future global pattern and the direction of order changes. Proper interaction between major powers can foster the growth of new international relations and has a significant impact on advancing global cooperation and the promotion of human peace. The goal of this essay is to examine how friendly interactions between major powers have affected the development of new international relations. A deep learning network model is presented for this purpose. The deep learning model was used to identify the emotions of the survey results, analyze each person’s emotional tendencies, and summarize and compare the data. Relevant questionnaire surveys were conducted using the online questionnaire survey method on individuals in various countries. The survey results in this paper demonstrate that 96.5 percent of Chinese, 89.3 percent of Russians, and 81.6 percent of Americans support friendly relations between major nations. Only a very small percentage of the investigators supported hostile relations, with their support being 1.06 percent, 3.11 percent, and 2.94 percent, respectively. Therefore, creating a win‐win partnership between major powers is exactly what the people of all nations are calling for. In contrast to the past, it is no longer hostile and violent. People anticipate that more great powers will coexist peacefully.
Optimization of Geological and Mineral Exploration by Integrating Remote Sensing Technology and Borehole Database
Authors: Niu Yan , Zhao Jun , Li Zhiyuan , Xu Wenjun , Liu Dong , Zhao Meng
Published: August 2022

Mineral exploration as the basis for the development of important mineral resources and economic construction, improving the efficiency of geological exploration is conducive to improving the quality of mineral resources. In this paper, the study of modern mineral resources exploration and utilization methods, drawing on the problems in geological exploration work, discusses effective countermeasures to improve and optimize the level of geological exploration from the perspectives of remote sensing technology and borehole database, etc., with a view to improving the efficiency of geological exploration and mineral search technology, so that energy production can achieve sustainable development and be free from the constraints of increasingly difficult mineral resources development. Based on remote sensing technology, GIS is a system derived on the basis of advanced science and technology and information technology, and its application to geological and mineral exploration can help relevant personnel to have foresight to understand the development of geological exploration and provide detailed data support for optimizing geological exploration work. Coalfield geological exploration arranges a large number of boreholes to find out the thickness of coal seams in the exploration area, the distribution pattern of coal seams and the spacing of coal seams, the characteristics of the top and bottom of coal seams, and the characteristics of coal quality. In the coal mining excavation, the technical personnel need to study the geological data of the borehole in time to design or adjust the excavation plan scientifically and reasonably. By implanting an electronic chip in the drill hole markers completed by drilling, the borehole coordinates, elevation, preservation of the borehole markers, and the website address of the borehole database management system are sent to the users in real time, providing geologists with convenient query services of borehole geological information. This paper proposes a geological and mineral exploration optimization method that integrates remote sensing technology and borehole database, and the relevant experiments prove the effectiveness of the proposed method.
Application of Graph Neural Network in Driving Fatigue Detection Based on EEG Signals
Authors: Mu Zhendong , Jin Ling , Yin Jinghai , Wang Qingjun
Published: August 2022

The objective of this article is to solve the current social phenomenon of a large number of fatigue driving, so that social safety becomes more stable in the future, and the detection and application of driving fatigue are more meaningful. This article aims to study the application of graph neural network (GNN) in driving fatigue detection (this article is abbreviated as DFD) based on EEG signals. This article uses a pattern classification method based on a multilayer perceptual overlimit learning machine to find the hidden information of the signal through an unsupervised learning self-encoding structure, which achieves the optimization purpose and has a better classification effect than traditional classifiers. An improved soft threshold (the soft threshold can be used to solve the optimization problem, and the optimization problem solved is similar to the base pursuit noise reduction problem, but it is not the same, and it should be noted that the soft threshold cannot solve the base pursuit noise reduction problem) denoising algorithm is selected, and the collected EEG (a technique for capturing brain activity using electrophysiological markers is the electroencephalogram). The sum of the postsynaptic potentials produced simultaneously by a large number of neurons occurs when the brain is active. It records the process of brain activity in the cerebral cortex or scalp surface) signals are preprocessed, so that the feature extraction efficiency of extracting EEG signals is improved. The final experimental data show that the traditional support vector machine, SVM algorithm, and the KNN convolutional neural (the K-nearest neighbor method, often known as KNN, was first put forth by Cover and Hart in 1968. It is one of the most straightforward machine learning algorithms and a theoretically sound approach) algorithms has a recognition rate of 79% and 81% for fatigue. The improved algorithm in this article has an average recognition rate of 87.5% for driver fatigue, which is greatly improved.
Functional Characterization of lncRNA152 as an Angiogenesis-Inhibiting Tumor Suppressor in Triple-Negative Breast Cancers
Authors: Kim Dae-Seok , Camacho Cristel V. , Setlem Rohit , Kim Kangsan , Malladi Srinivas , Hou Tim Y. , Nandu Tulip , Gadad Shrikanth S. , Kraus W. Lee
Published: August 2022

Long noncoding RNAs have been implicated in many of the hallmarks of cancer. Herein, we found that the expression of lncRNA152 (lnc152; a.k.a. DRAIC), which we annotated previously, is highly upregulated in luminal breast cancer (LBC) and downregulated in triple-negative breast cancer (TNBC). Knockdown of lnc152 promotes cell migration and invasion in LBC cell lines. In contrast, ectopic expression of lnc152 inhibits growth, migration, invasion, and angiogenesis in TNBC cell lines. In mice, lnc152 inhibited the growth of TNBC cell xenografts, as well as metastasis of TNBC cells in an intracardiac injection model. Transcriptome analysis of the xenografts indicated that lnc152 downregulates genes controlling angiogenesis. Using pull down assays followed by LC/MS-MS, we identified RBM47, a known tumor suppressor in breast cancer, as a lnc152-interacting protein. The effects of lnc152 in TNBC cells are mediated, in part, by regulating the expression of RBM47. Collectively, our results demonstrate that lnc152 is an angiogenesis-inhibiting tumor suppressor that attenuates the aggressive cancer-related phenotypes found in TNBC.

Implications:

This study identifies lncRNA152 as an angiogenesis-inhibiting tumor suppressor that attenuates the aggressive cancer-related phenotypes found in TNBC by upregulating the expression of the tumor suppressor RBM47. As such, lncRNA152 may serve as a biomarker to track aggressiveness of breast cancer, as well as therapeutic target for treating TNBC.
Science-Driven Nutritional Interventions for the Prevention and Treatment of Cancer
Authors: Montégut Léa , de Cabo Rafael , Zitvogel Laurence , Kroemer Guido
Published: August 2022

In population studies, dietary patterns clearly influence the development, progression, and therapeutic response of cancers. Nonetheless, interventional dietary trials have had relatively little impact on the prevention and treatment of malignant disease. Standardization of nutritional interventions combined with high-level mode-of-action studies holds the promise of identifying specific entities and pathways endowed with antineoplastic properties. Here, we critically review the effects of caloric restriction and more specific interventions on macro- and micronutrients in preclinical models as well as in clinical studies. We place special emphasis on the prospect of using defined nutrition-relevant molecules to enhance the efficacy of established anticancer treatments.

Significance:

The avoidance of intrinsically hypercaloric and toxic diets contributes to the prevention and cure of cancer. In addition, specific diet-induced molecules such as ketone bodies and micronutrients, including specific vitamins, have drug-like effects that are clearly demonstrable in preclinical models, mostly in the context of immunotherapies. Multiple trials are underway to determine the clinical utility of such molecules.
Consistencies and Differences in Intermediate Physiological Phenotypes of Vascular Ageing between Ischaemic Stroke Aetiologies
Authors: Webb Alastair John Stewart , Wartolowska Karolina A. , Li Linxin , Mazzucco Sara , Rothwell Peter M.
Published: August 2022

Objective: Arterial stiffness, cerebral pulsatility, and beat-to-beat blood pressure variability partly mediate the relationship between hypertension and stroke, but it is unknown if these intermediate phenotypes of vascular ageing differ between stroke aetiologies. We therefore aimed to characterize differences in these intermediate cardiovascular phenotypes between patients presenting with strokes of different aetiologies. Methods: In consecutive patients on best medical management 1 month after TIA or nondisabling stroke (Oxford Vascular Study), arterial stiffness (PWV) was measured by applanation tonometry (Sphygmocor), middle cerebral blood flow velocity, and pulsatility index (MCA-PI) were measured by transcranial ultrasound (TCD, DWL Doppler Box), and beat-to-beat BP variability was measured with a Finometer. Differences between patients with large artery (LAS), small vessel (SVD), cardioembolic (CE), or undetermined events were derived, including adjustment for cardiovascular risk factors. Relationships were characterized by mixed linear models. Results: In 909 eligible patients, MCA-PI, PWV, and SBPV were all positively skewed. Mean values were greatest in LAS than CE and lowest in SVD (p < 0.001). However, after adjustment for age, sex, and risk factors, PI was greatest in LAS and lowest in CE stroke, whilst PWV was greatest in SVD and undetermined stroke (p < 0.001). In multivariate linear models, age was more strongly associated with PWV and PI in patients with small vessel stroke than other aetiologies, particularly under the age of 65, but SBPV was only weakly associated with demographic indices in all stroke subtypes. Conclusions: Intermediate cardiovascular phenotypes of vascular ageing had similar demographic associations between stroke aetiologies, but these were particularly strong in patients with small vessel stroke under the age of 65, implying a potential role of these phenotypes in increasing stroke risk in this patient group.